Monthly Archives: July 2021

Google delays Cookie removal until 2023 - S. Ernest Paul

Google delay cookie removal until 2023

Yesterday, Google announced an updated timeline for its Privacy Sandbox milestones; in its blog post are two major announcements that marketers should focus on:

  1. Google says it’s planning to develop a more rigorous process to test and deploy Privacy Sandbox proposals across various use cases, like ad measurement, targeting, and fraud detection. The goal is to deploy these by late 2022, help scale adoption, and only then start to deprecate third-party cookies. Under this plan, 3P cookies will be phased out over a three-month period in 2023.
  2. Google is concluding the first (current) trial for Federated Learning of Cohorts (FLoC). It received feedback on the first implementation of FLoC and intends to incorporate that into future testing. (The FLoC test has faced some challenges, from its use by advertising technology vendors to build persistent profiles to its inability to be used by marketers in regulated industries.)

Google also indicated that these changes will allow for “…public discussion on the right solutions, continued engagement with regulators, and for publishers and the advertising industry to migrate their services.”

Marketers should not take this announcement as a signal to ease up on their preparations for a future without third-party cookies. Google continues to evolve its plans, and this likely won’t be the last time the company does this.

So, don’t let this distract you from the larger context of the moment: As an industry, we are transitioning away from opaque consumer data collection and usage and toward a choice-driven, transparent, and privacy-friendly future. Marketers must:

  • Continue to future-proof current targeting, digital media buying, and measurement strategies. Keep testing contextual advertising, first-party-based targeting, and cleanly sourced second-party audience segments using Forrester’s “The Future Of Audience Targeting” research as your guide.
  • Talk to your technology and services partners about how they are preparing for a data-deprecated future. Why do they believe their proposed approach(es) is sustainable, and what steps do they suggest you take on your own data deprecation journey?
  • Keep investing in your first- and zero-party data assets. Identify moments in the customer journey where you can collect behaviors, preferences, context, and intentions. Then, ensure that you’re optimizing opportunities to use that data with an eye toward delivering a valuable consumer experience.

Google said the delay would give it more time to get publishers, advertisers and regulators comfortable with the new technologies it is developing to enable targeted ads after cookies are phased out.

“While there’s considerable progress with this initiative, it’s become clear that more time is needed across the ecosystem to get this right,” Google said.

Google’s decision reflects the challenges tech giants face as they try to address demands for stronger user-privacy protections without rattling the $455 billion online-ad ecosystem or inviting complaints that they are giving themselves special advantages. Apple Inc. has rolled out several major privacy updates for its devices this year, including a requirement that all apps get users’ permission to track them. Google and Apple have each faced complaints from the ad industry that the changes they’re making will strengthen their own ad businesses.

Earlier this week, the European Union said it is investigating Google’s plan to remove cookies as part of a wide-ranging inquiry into allegations that Google has abused its prominent role in advertising technology.

Google has separately pledged to give the U.K.’s competition watchdog at least 60 days’ notice before removing cookies to review and potentially impose changes to its plan, as part of an offer to settle a similar investigation. That probe stemmed from complaints that Chrome’s removal of cookies would give an advantage to ads on Google’s own products, like YouTube or Search, where Google will still be able to do individual-level targeting.

In the U.S., Google’s cookie-replacement plan was raised in a December antitrust lawsuit against the company brought by Texas and nine other U.S. states.

Google plays a central role in the online advertising ecosystem. It owns the dominant tools used to broker the sale of ads across the web. Cookies, small bits of code stored in web browsers to track users across the web, are widely used in the industry, including in Google’s Chrome browser, which has 65% of the market globally, according to Statcounter.

Google’s delay was met with relief by advertisers and publishers, who will have more time to test and adapt to the technology that replaces cookies. Ellie Bamford, global head of media at RGA, a digital ad firm owned by Interpublic Group of Cos., said Google “underestimated the fear that marketers had about what this would mean and the level of preparedness marketers need to have.”

Paul Bannister, chief strategy officer at blog network CafeMedia, said that since the vast majority of digital advertising is powered by cookies, “it’s critical that the replacement technologies get things right. It’s also critical to make sure that even more money doesn’t go to the tech giants in the process.”

Google has been testing several new tools to replace various functions of third-party cookies, as part of what it calls a privacy sandbox. The first such replacement technology, dubbed federated learning of cohorts, or Floc, is intended to allow advertisers to target cohorts of users with similar interests, rather than individuals, in order to protect their privacy.

But early technical testing of Floc, which began in April, has been slow. Initially, Google indicated it would allow advertisers to purchase ads for Floc in the second quarter as part of Google’s tests. Google later shifted that time frame to the third quarter, ad executives said.

Ad-industry players have also expressed skepticism about Google’s claims that targeting ads with Floc is at least 95% as effective as cookie-based targeting. Google has “struggled to build confidence in Floc,” said Jayna Kothary, global chief technology officer at MRM, a marketing agency that is part of Interpublic Group of Cos. Most advertisers don’t believe Floc is 95% as effective as cookies and “the early experiments haven’t proven this yet,” she said.

Google engineer Michael Kleber said at a developer conference in mid-May that the company is working out answers to how Floc should eventually work.

“We don’t have that ready yet because we don’t know what the answers are,” Mr. Kleber said. He added that everything “about how Floc works is very much subject to change.” The acronym Floc was chosen to reflect a flock of birds, Mr. Kleber said.

Google said Thursday it has “received substantial feedback from the web community” during the initial testing of Floc.

The company also said it plans to complete testing of all of its new cookie-replacement technologies, and integrate them into Chrome before late 2022. Then digital publishers and the digital advertising industry will have a nine-month period to migrate their services, during which time Google will monitor adoption and feedback.

The final phaseout of cookies will happen over three months in late 2023, the company said, adding that it will publish a more detailed timeline.

Two rival web browsers that promote privacy, Mozilla’s Firefox and Brave, have said they aren’t supporting Floc. Some prominent websites have debated whether to opt out of using the system. And the Electronic Frontier Foundation, a digital rights group, says Floc could be misused to help with device fingerprinting, a technique to identify specific web browsers without relying on cookies. That could potentially reveal sensitive information gleaned from web browsing, despite safeguards Google says it’s building, the rights group says.

On Thursday, Google said it is making progress in its work on technologies to hinder device fingerprinting via Chrome, including by reducing how much technical information a Chrome browser provides to websites it visits.

A Google spokesman declined to comment further.

Brian Lesser, chief executive of InfoSum Ltd., a data services company, and former chief executive of AT&T Inc.’s digital-ad company Xandr, said Google’s “intentions are noble in the sense that they want to protect consumer data. Floc is one idea and I think it needs to exist within a range of different alternatives to cookies.”

Medallia is the best of the pack in the Customer Experience in Martech

Medallia Experience Cloud is a customer feedback management (CFM) solution that  

consolidates real-time data into a single platform that can be customized and scaled for  each unique business unit. To better understand the benefits, costs, and risk associated  with Medallia Experience Cloud, Forrester Consulting conducted a Total Economic  Impact™ (TEI) study based on interviews with six customers with experience using  Medallia Experience Cloud as their customer feedback management platform. This  summary is based on a full TEI study, which can be downloaded here. 

Based on the TEI analysis, a representative organization deploying Medallia Experience  Cloud has experienced a quick payback period with the following three-year financial  impact: $35.6 million in benefits and $5.1 million in costs, a net present value (NPV) of  $30.4 million and an ROI of 591%. Readers can use this representative organization to  understand the economic impact of deploying Medallia Experience Cloud and apply or  adapt it to their own situation and experience. 

Quantified Benefits 

The following risk-adjusted quantified benefits are representative of those experienced by  the companies interviewed: 

Improved customer experience leading to an increase in net income of $20.1  million. Organizations were able to meet the needs of today’s customers by making  product and channel improvements informed by real-time customer feedback data from  the Medallia Experience Cloud. These improvements drove growth through an increase in  both customer retention and average basket size.  

Operational efficiencies resulting in a savings of $13.8 million. Organizations were  able to improve organizational operations by aligning business and strategic initiatives  with the insights gained from the Medallia Experience Cloud. Additionally, call volume to  service desks was significantly reduced due to its enabling of organizations to  systematically identify and reduce customer pain points. 

Cost avoidance of the previous solution. Organizations avoided the cost of running and  maintaining legacy solutions by moving to Medallia’s cloud-based platform.  

Unquantified Benefits 

Examples of additional benefits that the interviewed organizations mentioned as  significant but were not quantified for this study: 

Faster closed loop cycle. Organizations were able to more quickly close the loop with  customers through preferred channels and recognized a positive impact on both  customer churn and employee morale. › A shift in overall organizational culture towards CX. Employee access to real-time  customer feedback information brings the customer experience to life and helps keep the entire organization focused on meeting customer needs and expectations

Key Investment Drivers And Results 

S. Ernest Paul

Organizations shared the following challenges prior to Medallia Experience Cloud: 

Inability to provide meaningful CX insights. Surveys and other solutions provide  data points but do not facilitate the insights or analytics necessary to understand and  meet the needs of today’s customers. 

Inability to effectively handle organizational scale. Legacy vendors and solutions could not reliably process the necessary volume of data quickly or effectively, preventing organizations from moving quickly to reduce pain points and incorporating  customer feedback into strategic initiatives.

Organizations achieved key results with Medallia Experience Cloud: 

S. Ernest Paul

Develop actionable insights to improve CX and drive product improvements. A  VP of customer insights in the telecommunications industry stated: “We were able to  reduce the number of calls to our service desk, because we’ve addressed and  eliminated many of the reasons, the root causes, of why people were calling us:  technical reliability, product functionality, billing issues. This has categorically  changed the game for us.” 

Effective scaling and flexibility. Medallia’s experience with global deployments and  large enterprises made the implementation and scaling an easy, collaborative  process.  

Drive a shift in organizational culture. The ability for a single platform to collect all  CFM data, its accessibility to anyone in the organization, and the direct connection to  actions for closed loop feedback drives a shift in organizational culture towards  meeting and exceeding customer expectations. 

Composite Organization 

Based on the interviews, Forrester constructed a TEI framework, a composite  company, and an ROI analysis that illustrates the areas financially affected, covered in  greater detail in the full study. The composite organization has the following  characteristics:  

Description of composite. The composite is a global conglomerate with $9 billion in  annual revenue, growing at a rate of 2% year-over-year (YOY), prior to its investment in  Medallia. Its main revenue streams include membership fees and 750 retail stores,  along with other B2B and B2C lines of business (LOBs). It has 2 million total customers  and 18,000 employees, which includes 750 key accounts with 150 account managers,  along with 4,500 contact center agents.  

Deployment characteristics. The global conglomerate composite organization has  deployed the Medallia Experience Cloud for transactional and relationship surveys,  both internally-facing (employees) and externally-facing (customers). The composite  organization initially rolled out Medallia’s Best Practices Package for Retail to its 750  stores. For Years 2 and 3, the program expanded to cover the full enterprise, including  the 4,500 contact center agents and 150 key accounts. 

Economic Impact

Increased income due to improved customer experience. Using customer feedback  obtained through the Medallia platform, organizations were able to make product  improvements leading to additional sales, and website improvements to remove pain  points and barriers to purchases. Organizations were able to improve overall NPS,  realized an increase in customer retention rate as well as increased average basket  size per customer leading to an increase in income of $20.1 million. 

Operational efficiencies represent $13.8 million in savings. Unification of data  across the organization and throughout the customer lifecycle allowed organizations to  better define strategic initiatives, better focus resources on those initiatives and reduce  overall service desk tickets by analyzing customer feedback to reduce pain points. 

Cost avoidance of previous solution. Organizations noted a total of $1.7 million in  cost savings related to licensing and management of previous CFM solution. 

Unquantified benefits. These are some of the benefits not quantified in the financial  analysis but were mentioned as significant. 

Faster closed loop cycle. A senior director of customer insights in the retail industry  told Forrester: “Medallia’s closed loop feedback mechanism has proven to be  effective, along with the simplicity of the dashboards.” 

A shift in organizational culture towards CX. Exposing employees to real-time  customer feedback promotes a deeper understanding of customer needs and  expectations, and enables organizations to introduce solutions that have a  meaningful impact on Customer Experience. 

Medallia does not come cheap

S. Ernest Paul

Costs 

The composite organization experienced two cost categories associated with the Medallia  Experience Cloud investment. Over three years, the composite organization expects risk adjusted total costs to have a PV of $5.1 million. 

Medallia Costs of $2.6 million. The organization paid Medallia for an annual software subscription, ongoing managed services, and implementation services for  initial and Year 1 costs. 

Internal costs of $2.6 million. These include day-to-day management,  implementation costs, and training associated with the new platform

The costs could go up id the add-ons are utilized

The value of flexibility is clearly unique to each customer, and the measure of its value  varies from organization to organization. There are multiple scenarios in which a  customer might choose to implement Medallia Experience Cloud and later realize  additional uses and business opportunities, for example:  

Ability to adapt the CFM solution to fit evolving needs. Medallia is willing to work  with clients to find solutions or benchmarks to unique business challenges. 

A/B testing. The Medallia Experience Cloud allows customers to quickly A/B test  customer experience solutions or pilot business process changes before rollout.  

Text analytics search. Changes in customer sentiment can occur quickly, and the text  analytics feature allows organizations to identify and adapt to unexpected developments. 

Financial Summary 

Flexibility, as defined by TEI,  represents an investment in  additional capacity or capability  that could be turned into business  benefit for a future additional  investment. This provides an  organization with the “right” or the  ability to engage in future initiatives  but not the obligation to do so.
SUMMMARY

The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and  payback period for the composite organization’s investment in Medallia Experience Cloud. Forrester assumes a  yearly discount rate of 10% for this analysis. 

COURTESY: FORRESTER

The Big Healthcare Fix

In health care, the days of business as usual are over. Around the world, every health care system is struggling with rising costs and uneven quality despite the hard work of well-intentioned, well-trained clinicians. Health care leaders and policy makers have tried countless incremental fixes—attacking fraud, reducing errors, enforcing practice guidelines, making patients better “consumers,” implementing electronic medical records—but none have had much impact.

It’s time for a fundamentally new strategy.

S. Ernest Paul

At its core is maximizing value for patients: that is, achieving the best outcomes at the lowest cost. We must move away from a supply-driven health care system organized around what physicians do and toward a patient-centered system organized around what patients need. We must shift the focus from the volume and profitability of services provided—physician visits, hospitalizations, procedures, and tests—to the patient outcomes achieved. And we must replace today’s fragmented system, in which every local provider offers a full range of services, with a system in which services for particular medical conditions are concentrated in health-delivery organizations and in the right locations to deliver high-value care.

Making this transformation is not a single step but an overarching strategy. We call it the “value agenda.” It will require restructuring how health care delivery is organized, measured, and reimbursed. In 2006, Michael Porter and Elizabeth Teisberg introduced the value agenda in their book Redefining Health Care. Since then, through our research and the work of thousands of health care leaders and academic researchers around the world, the tools to implement the agenda have been developed, and their deployment by providers and other organizations is rapidly spreading.

The transformation to value-based health care is well under way. Some organizations are still at the stage of pilots and initiatives in individual practice areas. Other organizations, such as the Cleveland Clinic and Germany’s Schön Klinik, have undertaken large-scale changes involving multiple components of the value agenda. The result has been striking improvements in outcomes and efficiency, and growth in market share.

There is no longer any doubt about how to increase the value of care. The question is, which organizations will lead the way and how quickly can others follow? The challenge of becoming a value-based organization should not be underestimated, given the entrenched interests and practices of many decades. This transformation must come from within. Only physicians and provider organizations can put in place the set of interdependent steps needed to improve value, because ultimately value is determined by how medicine is practiced. Yet every other stakeholder in the health care system has a role to play. Patients, health plans, employers, and suppliers can hasten the transformation—and all will benefit greatly from doing so.

Defining the Goal

The first step in solving any problem is to define the proper goal. Efforts to reform health care have been hobbled by lack of clarity about the goal, or even by the pursuit of the wrong goal. Narrow goals such as improving access to care, containing costs, and boosting profits have been a distraction. Access to poor care is not the objective, nor is reducing cost at the expense of quality. Increasing profits is today misaligned with the interests of patients, because profits depend on increasing the volume of services, not delivering good results.

In health care, the overarching goal for providers, as well as for every other stakeholder, must be improving value for patients, where value is defined as the health outcomes achieved that matter to patients relative to the cost of achieving those outcomes. Improving value requires either improving one or more outcomes without raising costs or lowering costs without compromising outcomes, or both. Failure to improve value means, well, failure.

Embracing the goal of value at the senior management and board levels is essential, because the value agenda requires a fundamental departure from the past. While health care organizations have never been against improving outcomes, their central focus has been on growing volumes and maintaining margins. Despite noble mission statements, the real work of improving value is left undone. Legacy delivery approaches and payment structures, which have remained largely unchanged for decades, have reinforced the problem and produced a system with erratic quality and unsustainable costs.

All this is now changing. Facing severe pressure to contain costs, payors are aggressively reducing reimbursements and finally moving away from fee-for-service and toward performance-based reimbursement. In the U.S., an increasing percentage of patients are being covered by Medicare and Medicaid, which reimburse at a fraction of private-plan levels. These pressures are leading more independent hospitals to join health systems and more physicians to move out of private practice and become salaried employees of hospitals. (For more, see the sidebar “Why Change Now?”) The transition will be neither linear nor swift, and we are entering a prolonged period during which providers will work under multiple payment models with varying exposure to risk.

Why Change Now?

Most hospitals and physician groups still have positive margins, but the pressure to consider a new strategic …

In this environment, providers need a strategy that transcends traditional cost reduction and responds to new payment models. If providers can improve patient outcomes, they can sustain or grow their market share. If they can improve the efficiency of providing excellent care, they will enter any contracting discussion from a position of strength. Those providers that increase value will be the most competitive. Organizations that fail to improve value, no matter how prestigious and powerful they seem today, are likely to encounter growing pressure. Similarly, health insurers that are slow to embrace and support the value agenda—by failing, for example, to favor high-value providers—will lose subscribers to those that do.

The Strategy for Value Transformation

The strategic agenda for moving to a high-value health care delivery system has six components. They are interdependent and mutually reinforcing; as we will see, progress will be easiest and fastest if they are advanced together. (See the exhibit “The Value Agenda.”)

The Value Agenda

The strategic agenda for moving to a high-value health care delivery system has six components. They are …

The current structure of health care delivery has been sustained for decades because it has rested on its own set of mutually reinforcing elements: organization by specialty with independent private-practice physicians; measurement of “quality” defined as process compliance; cost accounting driven not by costs but by charges; fee-for-service payments by specialty with rampant cross-subsidies; delivery systems with duplicative service lines and little integration; fragmentation of patient populations such that most providers do not have critical masses of patients with a given medical condition; siloed IT systems around medical specialties; and others. This interlocking structure explains why the current system has been so resistant to change, why incremental steps have had little impact (see the sidebar “No Magic Bullets”), and why simultaneous progress on multiple components of the strategic agenda is so beneficial.

No Magic Bullets

The history of health care reform has featured a succession of narrow “solutions,” many imposed on …

The components of the strategic agenda are not theoretical or radical. All are already being implemented to varying degrees in organizations ranging from leading academic medical centers to community safety-net hospitals. No organization, however, has yet put in place the full value agenda across its entire practice. Every organization has room for improvement in value for patients—and always will.

1: Organize into Integrated Practice Units (IPUs)

At the core of the value transformation is changing the way clinicians are organized to deliver care. The first principle in structuring any organization or business is to organize around the customer and the need. In health care, that requires a shift from today’s siloed organization by specialty department and discrete service to organizing around the patient’s medical condition. We call such a structure an integrated practice unit. In an IPU, a dedicated team made up of both clinical and nonclinical personnel provides the full care cycle for the patient’s condition.

IPUs treat not only a disease but also the related conditions, complications, and circumstances that commonly occur along with it—such as kidney and eye disorders for patients with diabetes, or palliative care for those with metastatic cancer. IPUs not only provide treatment but also assume responsibility for engaging patients and their families in care—for instance, by providing education and counseling, encouraging adherence to treatment and prevention protocols, and supporting needed behavioral changes such as smoking cessation or weight loss.

In an IPU, personnel work together regularly as a team toward a common goal: maximizing the patient’s overall outcomes as efficiently as possible. They are expert in the condition, know and trust one another, and coordinate easily to minimize wasted time and resources. They meet frequently, formally and informally, and review data on their own performance. Armed with those data, they work to improve care—by establishing new protocols and devising better or more efficient ways to engage patients, including group visits and virtual interactions. Ideally, IPU members are co-located, to facilitate communication, collaboration, and efficiency for patients, but they work as a team even if they’re based at different locations. (See the sidebar “What Is an Integrated Practice Unit?”)

What Is an Integrated Practice Unit?

1) An IPU is organized around a medical condition or a set of closely related conditions (or around defined patient …

Take, for example, care for patients with low back pain—one of the most common and expensive causes of disability. In the prevailing approach, patients receive portions of their care from a variety of types of clinicians, usually in several different locations, who function more like a spontaneously assembled “pickup team” than an integrated unit. One patient might begin care with a primary care physician, while others might start with an orthopedist, a neurologist, or a rheumatologist. What happens next is unpredictable. Patients might be referred to yet another physician or to a physical therapist. They might undergo radiology testing (this could happen at any point—even before seeing a physician). Each encounter is separate from the others, and no one coordinates the care. Duplication of effort, delays, and inefficiency is almost inevitable. Since no one measures patient outcomes, how long the process takes, or how much the care costs, the value of care never improves.

The impact on value of IPUs is striking. Compared with regional averages, patients at Virginia Mason’s Spine Clinic miss fewer days of work (4.3 versus 9 per episode) and need fewer physical therapy visits (4.4 versus 8.8).

Contrast that with the approach taken by the IPU at Virginia Mason Medical Center, in Seattle. Patients with low back pain call one central phone number (206-41-SPINE), and most can be seen the same day. The “spine team” pairs a physical therapist with a physician who is board-certified in physical medicine and rehabilitation, and patients usually see both on their first visit. Those with serious causes of back pain (such as a malignancy or an infection) are quickly identified and enter a process designed to address the specific diagnosis. Other patients will require surgery and will enter a process for that. For most patients, however, physical therapy is the most effective next intervention, and their treatment often begins the same day.

Virginia Mason did not address the problem of chaotic care by hiring coordinators to help patients navigate the existing system—a “solution” that does not work. Rather, it eliminated the chaos by creating a new system in which caregivers work together in an integrated way. The impact on value has been striking. Compared with regional averages, patients at Virginia Mason’s Spine Clinic miss fewer days of work (4.3 versus 9 per episode) and need fewer physical therapy visits (4.4 versus 8.8). In addition, the use of MRI scans to evaluate low back pain has decreased by 23% since the clinic’s launch, in 2005, even as outcomes have improved. Better care has actually lowered costs, a point we will return to later. Virginia Mason has also increased revenue through increased productivity, rather than depending on more fee-for-service visits to drive revenue from unneeded or duplicative tests and care. The clinic sees about 2,300 new patients per year compared with 1,404 under the old system, and it does so in the same space and with the same number of staff members.

Wherever IPUs exist, we find similar results—faster treatment, better outcomes, lower costs, and, usually, improving market share in the condition. But those results can be achieved only through a restructuring of work. Simply co-locating staff in the same building, or putting up a sign announcing a Center of Excellence or an Institute, will have little impact.

IPUs emerged initially in the care for particular medical conditions, such as breast cancer and joint replacement. Today, condition-based IPUs are proliferating rapidly across many areas of acute and chronic care, from organ transplantation to shoulder care to mental health conditions such as eating disorders.

Recently, we have applied the IPU model to primary care (see Michael E. Porter, Erika A. Pabo, and Thomas H. Lee, “Redesigning Primary Care,” Health Affairs, March 2013). By its very nature, primary care is holistic, concerned with all the health circumstances and needs of a patient. Today’s primary care practice applies a common organizational structure to the management of a very wide range of patients, from healthy adults to the frail elderly. The complexity of meeting their heterogeneous needs has made value improvement very difficult in primary care—for example, heterogeneous needs make outcomes measurement next to impossible.

In primary care, IPUs are multidisciplinary teams organized to serve groups of patients with similar primary and preventive care needs—for example, patients with complex chronic conditions such as diabetes, or disabled elderly patients. Different patient groups require different teams, different types of services, and even different locations of care. They also require services to address head-on the crucial role of lifestyle change and preventive care in outcomes and costs, and those services must be tailored to patients’ overall circumstances. Within each patient group, the appropriate clinical team, preventive services, and education can be put in place to improve value, and results become measureable.

This approach is already starting to be applied to high-risk, high-cost patients through so-called Patient-Centered Medical Homes. But the opportunity to substantially enhance value in primary care is far broader. At Geisinger Health System, in Pennsylvania, for example, the care for patients with chronic conditions such as diabetes and heart disease involves not only physicians and other clinicians but also pharmacists, who have major responsibility for following and adjusting medications. The inclusion of pharmacists on teams has resulted in fewer strokes, amputations, emergency department visits, and hospitalizations, and in better performance on other outcomes that matter to patients.

2: Measure Outcomes and Costs for Every Patient

Rapid improvement in any field requires measuring results—a familiar principle in management. Teams improve and excel by tracking progress over time and comparing their performance to that of peers inside and outside their organization. Indeed, rigorous measurement of value (outcomes and costs) is perhaps the single most important step in improving health care. Wherever we see systematic measurement of results in health care—no matter what the country—we see those results improve.

Yet the reality is that the great majority of health care providers (and insurers) fail to track either outcomes or costs by medical condition for individual patients. For example, although many institutions have “back pain centers,” few can tell you about their patients’ outcomes (such as their time to return to work) or the actual resources used in treating those patients over the full care cycle. That surprising truth goes a long way toward explaining why decades of health care reform have not changed the trajectory of value in the system.

When outcomes measurement is done, it rarely goes beyond tracking a few areas, such as mortality and safety. Instead, “quality measurement” has gravitated to the most easily measured and least controversial indicators. Most “quality” metrics do not gauge quality; rather, they are process measures that capture compliance with practice guidelines. HEDIS (the Healthcare Effectiveness Data and Information Set) scores consist entirely of process measures as well as easy-to-measure clinical indicators that fall well short of actual outcomes. For diabetes, for example, providers measure the reliability of their LDL cholesterol checks and hemoglobin A1c levels, even though what really matters to patients is whether they are likely to lose their vision, need dialysis, have a heart attack or stroke, or undergo an amputation. Few health care organizations yet measure how their diabetic patients fare on all the outcomes that matter.

It is not surprising that the public remains indifferent to quality measures that may gauge a provider’s reliability and reputation but say little about how its patients actually do. The only true measures of quality are the outcomes that matter to patients. And when those outcomes are collected and reported publicly, providers face tremendous pressure—and strong incentives—to improve and to adopt best practices, with resulting improvements in outcomes. Take, for example, the Fertility Clinic Success Rate and Certification Act of 1992, which mandated that all clinics performing assisted reproductive technology procedures, notably in vitro fertilization, provide their live birth rates and other metrics to the Centers for Disease Control. After the CDC began publicly reporting those data, in 1997, improvements in the field were rapidly adopted, and success rates for all clinics, large and small, have steadily improved. (See the exhibit “Outcomes Measurement and Reporting Drive Improvement.”)

Outcomes Measurement and Reporting Drive Improvement

Since public reporting of clinic performance began, in 1997, in vitro fertilization success rates have climbed steadily across all …

Measuring outcomes that matter to patients.

Outcomes should be measured by medical condition (such as diabetes), not by specialty (podiatry) or intervention (eye examination). Outcomes should cover the full cycle of care for the condition, and track the patient’s health status after care is completed. The outcomes that matter to patients for a particular medical condition fall into three tiers. (For more, see Michael Porter’s article “Measuring Health Outcomes: The Outcome Hierarchy,” New England Journal of Medicine, December 2010.) Tier 1 involves the health status achieved. Patients care about mortality rates, of course, but they’re also concerned about their functional status. In the case of prostate cancer treatment, for example, five-year survival rates are typically 90% or higher, so patients are more interested in their providers’ performance on crucial functional outcomes, such as incontinence and sexual function, where variability among providers is much greater.

Outcomes That Matter to Patients: A Hierarchy

In measuring quality of care, providers tend to focus on only what they directly control or easily measured clinical …

Tier 2 outcomes relate to the nature of the care cycle and recovery. For example, high readmission rates and frequent emergency-department “bounce backs” may not actually worsen long-term survival, but they are expensive and frustrating for both providers and patients. The level of discomfort during care and how long it takes to return to normal activities also matter greatly to patients. Significant delays before seeing a specialist for a potentially ominous complaint can cause unnecessary anxiety, while delays in commencing treatment prolong the return to normal life. Even when functional outcomes are equivalent, patients whose care process is timely and free of chaos, confusion, and unnecessary setbacks experience much better care than those who encounter delays and problems along the way.

Tier 3 outcomes relate to the sustainability of health. A hip replacement that lasts two years is inferior to one that lasts 15 years, from both the patient’s perspective and the provider’s.

Measuring the full set of outcomes that matter is indispensable to better meeting patients’ needs. It is also one of the most powerful vehicles for lowering health care costs. If Tier 1 functional outcomes improve, costs invariably go down. If any Tier 2 or 3 outcomes improve, costs invariably go down. A 2011 German study, for example, found that one-year follow-up costs after total hip replacement were 15% lower in hospitals with above-average outcomes than in hospitals with below-average outcomes, and 24% lower than in very-low-volume hospitals, where providers have relatively little experience with hip replacements. By failing to consistently measure the outcomes that matter, we lose perhaps our most powerful lever for cost reduction.

Over the past half dozen years, a growing array of providers have begun to embrace true outcome measurement. Many of the leaders have seen their reputations—and market share—improve as a result. A welcomed competition is emerging to be the most comprehensive and transparent provider in measuring outcomes.

The Cleveland Clinic is one such pioneer, first publishing its mortality data on cardiac surgery and subsequently mandating outcomes measurement across the entire organization. Today, the Clinic publishes 14 different “outcomes books” reporting performance in managing a growing number of conditions (cancer, neurological conditions, and cardiac diseases, for example). The range of outcomes measured remains limited, but the Clinic is expanding its efforts, and other organizations are following suit. At the individual IPU level, numerous providers are beginning efforts. At Dartmouth-Hitchcock’s Spine Center, for instance, patient scores for pain, physical function, and disability for surgical and nonsurgical treatment at three, six, 12, and 24 months are now published for each type of low back disorder.

Providers are improving their understanding of what outcomes to measure and how to collect, analyze, and report outcomes data. For example, some of our colleagues at Partners HealthCare in Boston are testing innovative technologies such as tablet computers, web portals, and telephonic interactive systems for collecting outcomes data from patients after cardiac surgery or as they live with chronic conditions such as diabetes. Outcomes are also starting to be incorporated in real time into the process of care, allowing providers to track progress as they interact with patients.

To accelerate comprehensive and standardized outcome measurement on a global basis, we recently cofounded the International Consortium for Health Outcomes Measurement. ICHOM develops minimum outcome sets by medical condition, drawing on international registries and provider best practices. It brings together clinical leaders from around the world to develop standard outcome sets, while also gathering and disseminating best practices in outcomes data collection, verification, and reporting. Just as railroads converged on standard track widths and the telecommunications industry on standards to allow data exchange, health care providers globally should consistently measure outcomes by condition to enable universal comparison and stimulate rapid improvement.

Measuring the cost of care.

For a field in which high cost is an overarching problem, the absence of accurate cost information in health care is nothing short of astounding. Few clinicians have any knowledge of what each component of care costs, much less how costs relate to the outcomes achieved. In most health care organizations there is virtually no accurate information on the cost of the full cycle of care for a patient with a particular medical condition. Instead, most hospital cost-accounting systems are department-based, not patient-based, and designed for billing of transactions reimbursed under fee-for-service contracts. In a world where fees just keep going up, that makes sense. Existing systems are also fine for overall department budgeting, but they provide only crude and misleading estimates of actual costs of service for individual patients and conditions. For example, cost allocations are often based on charges, not actual costs. As health care providers come under increasing pressure to lower costs and report outcomes, the existing systems are wholly inadequate.

Existing costing systems are fine for overall department budgeting, but they provide only crude and misleading estimates of actual costs of service for individual patients and conditions.

To determine value, providers must measure costs at the medical condition level, tracking the expenses involved in treating the condition over the full cycle of care. This requires understanding the resources used in a patient’s care, including personnel, equipment, and facilities; the capacity cost of supplying each resource; and the support costs associated with care, such as IT and administration. Then the cost of caring for a condition can be compared with the outcomes achieved.

The best method for understanding these costs is time-driven activity-based costing, TDABC. While rarely used in health care to date, it is beginning to spread. Where TDABC is being applied, it is helping providers find numerous ways to substantially reduce costs without negatively affecting outcomes (and sometimes even improving them). Providers are achieving savings of 25% or more by tapping opportunities such as better capacity utilization, more-standardized processes, better matching of personnel skills to tasks, locating care in the most cost-effective type of facility, and many others.

For example, Virginia Mason found that it costs $4 per minute for an orthopedic surgeon or other procedural specialist to perform a service, $2 for a general internist, and $1 or less for a nurse practitioner or physical therapist. In light of those cost differences, focusing the time of the most expensive staff members on work that utilizes their full skill set is hugely important. (For more, see Robert Kaplan and Michael Porter’s article “How to Solve the Cost Crisis in Health Care,” HBR September 2011.)

Without understanding the true costs of care for patient conditions, much less how costs are related to outcomes, health care organizations are flying blind in deciding how to improve processes and redesign care. Clinicians and administrators battle over arbitrary cuts, rather than working together to improve the value of care. Because proper cost data are so critical to overcoming the many barriers associated with legacy processes and systems, we often tell skeptical clinical leaders: “Cost accounting is your friend.” Understanding true costs will finally allow clinicians to work with administrators to improve the value of care—the fundamental goal of health care organizations.

3: Move to Bundled Payments for Care Cycles

Neither of the dominant payment models in health care—global capitation and fee-for-service—directly rewards improving the value of care. Global capitation, a single payment to cover all of a patient’s needs, rewards providers for spending less but not specifically for improving outcomes or value. It also decouples payment from what providers can directly control. Fee-for-service couples payment to something providers can control—how many of their services, such as MRI scans, they provide—but not to the overall cost or the outcomes. Providers are rewarded for increasing volume, but that does not necessarily increase value.

The payment approach best aligned with value is a bundled payment that covers the full care cycle for acute medical conditions, the overall care for chronic conditions for a defined period (usually a year), or primary and preventive care for a defined patient population (healthy children, for instance). Well-designed bundled payments directly encourage teamwork and high-value care. Payment is tied to overall care for a patient with a particular medical condition, aligning payment with what the team can control. Providers benefit from improving efficiency while maintaining or improving outcomes.

Sound bundled payment models should include: severity adjustments or eligibility only for qualifying patients; care guarantees that hold the provider responsible for avoidable complications, such as infections after surgery; stop-loss provisions that mitigate the risk of unusually high-cost events; and mandatory outcomes reporting.

Governments, insurers, and health systems in multiple countries are moving to adopt bundled payment approaches. For example, the Stockholm County Council initiated such a program in 2009 for all total hip and knee replacements for relatively healthy patients. The result was lower costs, higher patient satisfaction, and improvement in some outcomes. In Germany, bundled payments for hospital inpatient care—combining all physician fees and other costs, unlike payment models in the U.S.—have helped keep the average payment for a hospitalization below $5,000 (compared with more than $19,000 in the U.S., even though hospital stays are, on average, 50% longer in Germany). Among the features of the German system are care guarantees under which the hospital bears responsibility for the cost of rehospitalization related to the original care.

In the U.S., bundled payments have become the norm for organ transplant care. Here, mandatory outcomes reporting has combined with bundles to reinforce team care, speed diffusion of innovation, and rapidly improve outcomes. Providers that adopted bundle approaches early benefitted. UCLA’s kidney transplant program, for example, has grown dramatically since pioneering a bundled price arrangement with Kaiser Permanente, in 1986, and offering the payment approach to all its payors shortly thereafter. Its outcomes are among the best nationally, and UCLA’s market share in organ transplantation has expanded substantially.

Employers are also embracing bundled payments. This year, Walmart introduced a program in which it encourages employees who need cardiac, spine, and selected other surgery to obtain care at one of just six providers nationally, all of which have high volume and track records of excellent outcomes: the Cleveland Clinic, Geisinger, the Mayo Clinic, Mercy Hospital (in Springfield, Missouri), Scott & White, and Virginia Mason. The hospitals are reimbursed for the care with a single bundled payment that includes all physician and hospital costs associated with both inpatient and outpatient pre- and post-operative care. Employees bear no out-of-pocket costs for their care—travel, lodging, and meals for the patient and a caregiver are provided—as long as the surgery is performed at one of the centers of excellence. The program is in its infancy, but expectations are that Walmart and other large employers will expand such programs to improve value for their employees, and will step up the incentives for employees to use them. Sophisticated employers have learned that they must move beyond cost containment and health promotion measures, such as co-pays and on-site health and wellness facilities, and become a greater force in rewarding high-value providers with more patients.

As bundled payment models proliferate, the way in which care is delivered will be transformed. Consider how providers participating in Walmart’s program are changing the way they provide care. As clinical leaders map the processes involved in caring for patients who live outside their immediate area, they are learning how to better coordinate care with all of patients’ local physicians. They’re also questioning existing practices. For example, many hospitals routinely have patients return to see the cardiac surgeon six to eight weeks after surgery, but out-of-town visits seem difficult to justify for patients with no obvious complications. In deciding to drop those visits, clinicians realized that maybe local patients do not need routine postoperative visits either.

Providers remain nervous about bundled payments, citing concerns that patient heterogeneity might not be fully reflected in reimbursements, and that the lack of accurate cost data at the condition level could create financial exposure. Those concerns are legitimate, but they are present in any reimbursement model. We believe that concerns will fall away over time, as sophistication grows and the evidence mounts that embracing payments aligned with delivering value is in providers’ economic interest. Providers will adopt bundles as a tool to grow volume and improve value.

4: Integrate Care Delivery Systems

A large and growing proportion of health care is provided by multisite health care delivery organizations. In 2011, 60% of all U.S. hospitals were part of such systems, up from 51% in 1999. Multisite health organizations accounted for 69% of total admissions in 2011. Those proportions are even higher today. Unfortunately, most multisite organizations are not true delivery systems, at least thus far, but loose confederations of largely stand-alone units that often duplicate services. There are huge opportunities for improving value as providers integrate systems to eliminate the fragmentation and duplication of care and to optimize the types of care delivered in each location.

To achieve true system integration, organizations must grapple with four related sets of choices: defining the scope of services, concentrating volume in fewer locations, choosing the right location for each service line, and integrating care for patients across locations. The politics of redistributing care remain daunting, given most providers’ instinct to preserve the status quo and protect their turf. Some acid-test questions to gauge board members’ and health system leaders’ appetite for transformation include: Are you ready to give up service lines to improve the value of care for patients? Is relocating service lines on the table?

Define the scope of services.

A starting point for system integration is determining the overall scope of services a provider can effectively deliver—and reducing or eliminating service lines where they cannot realistically achieve high value. For community providers, this may mean exiting or establishing partnerships in complex service lines, such as cardiac surgery or care for rare cancers. For academic medical centers, which have more heavily resourced facilities and staff, this may mean minimizing routine service lines and creating partnerships or affiliations with lower-cost community providers in those fields. Although limiting the range of service lines offered has traditionally been an unnatural act in health care—where organizations strive to do everything for everyone—the move to a value-based delivery system will require those kinds of choices.

Concentrate volume in fewer locations.

Second, providers should concentrate the care for each of the conditions they do treat in fewer locations. The stated promise of consumer-oriented health care—“We do everything you need close to your home or workplace”—has been a good marketing pitch but a poor strategy for creating value. Concentrating volume is essential if integrated practice units are to form and measurement is to improve.

Numerous studies confirm that volume in a particular medical condition matters for value. Providers with significant experience in treating a given condition have better outcomes, and costs improve as well. A recent study of the relationship between hospital volume and operative mortality for high-risk types of cancer surgery, for example, found that as hospital volumes rose, the chances of a patient’s dying as a result of the surgery fell by as much as 67%. Patients, then, are often much better off traveling longer distance to obtain care at locations where there are teams with deep experience in their condition. That often means driving past the closest hospitals.

Organizations that progress rapidly in adopting the value agenda will reap huge benefits, even if regulatory change is slow.

Concentrating volume is among the most difficult steps for many organizations, because it can threaten both prestige and physician turf. Yet the benefits of concentration can be game-changing. In 2009, the city of London set out to improve survival and prospects for stroke patients by ensuring that patients were cared for by true IPUs—dedicated, state-of-the-art teams and facilities including neurologists who were expert in the care of stroke. These were called hyper-acute stroke units, or HASUs. At the time, there were too many hospitals providing acute stroke care in London (32 of them) to allow any to amass a high volume. UCL Partners, a delivery system comprising six well-known teaching hospitals that serve North Central London, had two hospitals providing stroke care—University College London Hospital and the Royal Free Hospital—located less than three miles apart. University College was selected to house the new stroke unit. Neurologists at Royal Free began practicing at University College, and a Royal Free neurologist was appointed as the overall leader of the stroke program. UCL Partners later moved all emergency vascular surgery and complex aortic surgery to Royal Free.

These steps sent a strong message that UCL Partners was ready to concentrate volume to improve value. The number of stroke cases treated at University College climbed from about 200 in 2008 to more than 1,400 in 2011. All stroke patients can now undergo rapid evaluation by highly experienced neurologists and begin their recovery under the care of nurses who are expert in preventing stroke-related complications. Since the shift, mortality associated with strokes at University College has fallen by about 25% and costs per patient have dropped by 6%.

Choose the right location for each service.

The third component of system integration is delivering particular services at the locations at which value is highest. Less complex conditions and routine services should be moved out of teaching hospitals into lower-cost facilities, with charges set accordingly. There are huge value improvement opportunities in matching the complexity and skills needed with the resource intensity of the location, which will not only optimize cost but also increase staff utilization and productivity. Children’s Hospital of Philadelphia, for instance, decided to stop performing routine tympanostomies (placing tubes into children’s eardrums to reduce fluid collection and risk of infection) at its main facility and shifted those services to suburban ambulatory surgery facilities. More recently, the hospital applied the same approach to simple hypospadias repairs, a urological procedure. Relocating such services cut costs and freed up operating rooms and staff at the teaching hospital for more-complex procedures. Management estimated the total cost reduction resulting from the shift at 30% to 40%.

In many cases, current reimbursement schemes still reward providers for performing services in a hospital setting, offering even higher payments if the hospital is an academic medical center—another example of how existing reimbursement models have worked against value. But the days of charging higher fees for routine services in high-cost settings are quickly coming to an end. (See again the sidebar “Why Change Now?”)

Integrate care across locations.

The final component of health system integration is to integrate care for individual patients across locations. As providers distribute services in the care cycle across locations, they must learn to tie together the patient’s care across these sites. Care should be directed by IPUs, but recurring services need not take place in a single location. For example, patients with low back pain may receive an initial evaluation, and surgery if needed, from a centrally located spine IPU team but may continue physical therapy closer to home. Wherever the services are performed, however, the IPU manages the full care cycle. Integrating mechanisms, such as assigning a single physician team captain for each patient and adopting common scheduling and other protocols, help ensure that well-coordinated, multidisciplinary care is delivered in a cost-effective and convenient way.

5: Expand Geographic Reach

Health care delivery remains heavily local, and even academic medical centers primarily serve their immediate geographic areas. If value is to be substantially increased on a large scale, however, superior providers for particular medical conditions need to serve far more patients and extend their reach through the strategic expansion of excellent IPUs. Buying full-service hospitals or practices in new geographic areas is rarely the answer. Geographic expansion should focus on improving value, not just increasing volume.

Targeted geographic expansion by leading providers is rapidly increasing, with dozens of organizations such as Vanderbilt, Texas Children’s, Children’s Hospital of Philadelphia, MD Anderson Cancer Center, and many others taking bold steps to serve patients over a wide geographic area.

Geographic expansion takes two principle forms. The first is a hub-and-spoke model. For each IPU, satellite facilities are established and staffed at least partly by clinicians and other personnel employed by the parent organization. In the most effective models, some clinicians rotate among locations, which helps staff members across all facilities feel they are part of the team. As expansion moves to an entirely new region, a new IPU hub is built or acquired.

Patients often get their initial evaluation and development of a treatment plan at the hub, but some or much care takes place at more-convenient (and cost-effective) locations. Satellites deliver less complicated care, with complex cases referred to the hub. If complications occur whose effective management is beyond the ability of the satellite facility, the patient’s care is transferred to the hub. The net result is a substantial increase in the number of patients an excellent IPU can serve.

This model is becoming more common among leading cancer centers. MD Anderson, for example, has four satellite sites in the greater Houston region where patients receive chemotherapy, radiation therapy, and, more recently, low-complexity surgery, under the supervision of a hub IPU. The cost of care at the regional facilities is estimated to be about one-third less than comparable care at the main facility. By 2012, 22% of radiation treatment and 15% of all chemotherapy treatment were performed at regional sites, along with about 5% of surgery. Senior management estimates that 50% of comparable care currently still performed at the hub could move to satellite sites—a significant untapped value opportunity.

The second emerging geographic expansion model is clinical affiliation, in which an IPU partners with community providers or other local organizations, using their facilities rather than adding capacity. The IPU provides management oversight for clinical care, and some clinical staff members working at the affiliate may be employed by the parent IPU. MD Anderson uses this approach in its partnership with Banner Phoenix. Hybrid models include the approach taken by MD Anderson in its regional satellite program, which leases outpatient facilities located on community hospital campuses and utilizes those hospitals’ operating rooms and other inpatient and ancillary services as needed.

Local affiliates benefit from the expertise, experience, and reputation of the parent IPU—benefits that often improve their market share locally. The IPU broadens its regional reach and brand, and benefits from management fees, shared revenue or joint venture income, and referrals of complex cases.

The Cleveland Clinic’s Heart and Vascular Institute, a pioneering IPU in cardiac and vascular care, has 19 hospital affiliates spanning the Eastern seaboard. Successful clinical affiliations such as these are robust—not simply storefronts with new signage and marketing campaigns—and involve close oversight by physician and nurse leaders from the parent organization as well as strict adherence to its practice models and measurement systems. Over time, outcomes for standard cases at the Clinic’s affiliates have risen to approach its own outcomes.

Vanderbilt’s rapidly expanding affiliate network illustrates the numerous opportunities that arise from affiliations that recognize each partner’s areas of strength. For example, Vanderbilt has encouraged affiliates to grow noncomplex obstetrics services that once might have taken place at the academic medical center, while affiliates have joint ventured with Vanderbilt in providing care for some complex conditions in their territories.

6: Build an Enabling Information Technology Platform

The preceding five components of the value agenda are powerfully enabled by a sixth: a supporting information technology platform. Historically, health care IT systems have been siloed by department, location, type of service, and type of data (for instance, images). Often IT systems complicate rather than support integrated, multidisciplinary care. That’s because IT is just a tool; automating broken service-delivery processes only gets you more-efficient broken processes. But the right kind of IT system can help the parts of an IPU work with one another, enable measurement and new reimbursement approaches, and tie the parts of a well-structured delivery system together.

A value-enhancing IT platform has six essential elements:

It is centered on patients.

The system follows patients across services, sites, and time for the full cycle of care, including hospitalization, outpatient visits, testing, physical therapy, and other interventions. Data are aggregated around patients, not departments, units, or locations.

It uses common data definitions.

Terminology and data fields related to diagnoses, lab values, treatments, and other aspects of care are standardized so that everyone is speaking the same language, enabling data to be understood, exchanged, and queried across the whole system.

It encompasses all types of patient data.

Physician notes, images, chemotherapy orders, lab tests, and other data are stored in a single place so that everyone participating in a patient’s care has a comprehensive view.

The medical record is accessible to all parties involved in care.

That includes referring physicians and patients themselves. A simple “stress test” question to gauge the accessibility of the data in an IT system is: Can visiting nurses see physicians’ notes, and vice versa? The answer today at almost all delivery systems is “no.” As different types of clinicians become true team members—working together in IPUs, for example—sharing information needs to become routine. The right kind of medical record also should mean that patients have to provide only one set of patient information, and that they have a centralized way to schedule appointments, refill prescriptions, and communicate with clinicians. And it should make it easy to survey patients about certain types of information relevant to their care, such as their functional status and their pain levels.

The system includes templates and expert systems for each medical condition.

Templates make it easier and more efficient for the IPU teams to enter and find data, execute procedures, use standard order sets, and measure outcomes and costs. Expert systems help clinicians identify needed steps (for example, follow-up for an abnormal test) and possible risks (drug interactions that may be overlooked if data are simply recorded in free text, for example).

The system architecture makes it easy to extract information.

In value-enhancing systems, the data needed to measure outcomes, track patient-centered costs, and control for patient risk factors can be readily extracted using natural language processing. Such systems also give patients the ability to report outcomes on their care, not only after their care is completed but also during care, to enable better clinical decisions. Even in today’s most advanced systems, the critical capability to create and extract such data remains poorly developed. As a result, the cost of measuring outcomes and costs is unnecessarily increased.

The Cleveland Clinic is a provider that has made its electronic record an important enabler of its strategy to put “Patients First” by pursuing virtually all these aims. It is now moving toward giving patients full access to clinician notes—another way to improve care for patients.

Getting Started

The six components of the value agenda are distinct but mutually reinforcing. Organizing into IPUs makes proper measurement of outcomes and costs easier. Better measurement of outcomes and costs makes bundled payments easier to set and agree upon. A common IT platform enables effective collaboration and coordination within IPU teams, while also making the extraction, comparison, and reporting of outcomes and cost data easier. With bundled prices in place, IPUs have stronger incentives to work as teams and to improve the value of care. And so on.

Implementing the value agenda is not a one-shot effort; it is an open-ended commitment. It is a journey that providers embark on, starting with the adoption of the goal of value, a culture of patients first, and the expectation of constant, measurable improvement. The journey requires strong leadership as well as a commitment to roll out all six value agenda components. For most providers, creating IPUs and measuring outcomes and costs should take the lead.

As should by now be clear, organizations that progress rapidly in adopting the value agenda will reap huge benefits, even if regulatory change is slow. As IPUs’ outcomes improve, so will their reputations and, therefore, their patient volumes. With the tools to manage and reduce costs, providers will be able to maintain economic viability even as reimbursements plateau and eventually decline. Providers that concentrate volume will drive a virtuous cycle, in which teams with more experience and better data improve value more rapidly—attracting still more volume. Superior IPUs will be sought out as partners of choice, enabling them to expand across their local regions and beyond.

Maintaining market share will be difficult for providers with nonemployed physicians if their inability to work together impedes progress in improving value. Hospitals with private-practice physicians will have to learn to function as a team to remain viable. Measuring outcomes is likely to be the first step in focusing everyone’s attention on what matters most.All stakeholders in health care have essential roles to play. (See the sidebar “Next Steps: Other Stakeholder Roles.”) Yet providers must take center stage. Their boards and senior leadership teams must have the vision and the courage to commit to the value agenda, and the discipline to progress through the inevitable resistance and disruptions that will result. Clinicians must prioritize patients’ needs and patient value over the desire to maintain their traditional autonomy and practice patterns.

Next Steps: Other Stakeholder Roles

The transformation to a high-value health care delivery system must come from within, with physicians and provider ...

Providers that cling to today’s broken system will become dinosaurs. Reputations that are based on perception, not actual outcomes, will fade. Maintaining current cost structures and prices in the face of greater transparency and falling reimbursement levels will be untenable. Those organizations—large and small, community and academic—that can master the value agenda will be rewarded with financial viability and the only kind of reputation that should matter in health care—excellence in outcomes and pride in the value they deliver.

CourtesyHBR.org

Why a Consolidated Martech Stack makes sense?

One of the more jarring tasks of many businesses I’ve worked with is selecting from the vast pool of tools to use. This is where having a marketing technology stack becomes fundamental to your business’ marketing strategies.   

But what is a marketing technology (aka ‘martech’) stack and why does your online business need one? Let’s discuss and break it down: 

What is a Marketing Tech Stack? 

This is marketing jargon that you will definitely hear more of if you haven’t already. Essentially, a marketing technology stack is exactly what it sounds like: it’s a group of tech-based tools that marketers and businesses use to improve their marketing activities. But it’s more dynamic than merely using several tools individually for their own siloed purposes. Instead, marketing technologies are ‘stacked’ to create an integrated series of tools that allows you to build seamless customer relationships across several different channels. 

Not only will the right martech stack iron out your processes, but it should focus on the impact of your marketing activities and drive more efficient marketing spend.

Why should I invest in a Marketing Technology Stack? 

Like I said earlier, the martech space is made up of thousands of online tools and technologies. The sheer amount of vendors offering the latest and greatest in marketing innovations is overwhelming. Just take a look at ChiefMartech’s latest edition of the marketing landscape for 2020, with over 8,000 solutions to choose from. (For some perspective, ChiefMartech reported only 150 solutions just 10 years ago!) 

Put simply, the martech space is colossal. And marketers are pressured to keep up with the growth. According to Korn Ferry, “27% of CMOs were concerned with staying ahead and taking advantage of digital technology trends.” 

With thousands of solutions to choose from, it’s vital for marketers and business owners to understand how the right tech stack will impact their businesses and which technologies will be fundamental to reaching their goals. 

First of all – as with other areas of your marketing strategy – one size does not fit all when it comes to building the right martech stack for your company. Your chosen technologies will be impacted by factors like your budget and the type of business you have. One key factor to consider is your target market; for instance, B2C companies will likely require slightly different technologies than a B2B company since they each typically use different channels and techniques to acquire and engage with their customers. 

What Elements Make A Great Marketing Tech Stack? 

So let’s take a look at the technologies I consider foundational to a tech stack, regardless of your target customer.

  • Customer Relationship Management (CRM): this is often a focus for you B2B-ers. CRMs track all customer relationships and marketing attribution for you and your sales force. Ultimately, CRMs are essential to gaining in-depth insights of how your marketing efforts impact your sales pipeline.
    [Tools to explore: Salesforce; HubspotCRM; SugarCRM].
  • Content Management System (CMS): by now, for most of you, this is a basic element of your tech stack that you’re familiar with. A CMS is the technology that powers your website, blog, landing pages etc. These web properties are often where you want to engage your customers.

  • Advertising and SEO: this element is pretty vast, but search engine optimization and advertising is key to your customer acquisition strategies regardless of the type of business you run. Many marketers use a combination of software for keyword research, display ads, ad tracking, and attribution. 
    [Tools to explore: SEMrush, Google Ads; HasOffers].
  • Email: Email marketing is still a very cost effective way to support sales, build brand awareness and gain trust with your customer base. Email marketing capabilities might even be readily available in other platforms in your tech stack; like in your marketing automation or inbound marketing platform, for instance.
    [Tools to explore: MailChimp; Constant Contact; SendGrid].
  • Social Media: technologies for this space help monitor your social conversations, schedule posts or curate content. Specific networks like Facebook and LinkedIn also offer social media marketing opportunities that may be a valuable addition to your own tech stack.
    [Tools to explore: BuzzSumo; Hootsuite; SproutSocial].  
  • Collaboration: these are some of my favorite tools to add to a tech stack. Collaboration software focuses on working efficiently and transparently with your team. There are a number of project management tools to choose from, or even tools that focus more on the customer journey.
    [Tools to explore: Trello; Asana; Slack].  
  • Analysis and Reporting: regardless of the technologies you choose to integrate with in your tech stack, you must always be able to access your data to measure your marketing efforts. For the most part, businesses will at least have basic website analytics tracking in place, which is a great way to start. But depending on your situation, you could explore building a full data warehouse to pull together data from various systems to make your reporting more accessible and rounded.
    [Tools to explore: Google Analytics; KissMetrics; HotJar].

Your marketing technology stack is critical to your organization’s success. It enables you to manage your brand efficiently, coordinate and execute campaigns, leverage existing content, and attract and convert customers in an increasingly complex marketing environment. However, putting together the right set of tools and technology may be extremely challenging. With so many competing options, features, and interoperability concerns to consider, piecing together your martech may feel like navigating a minefield. However, the right marketing technology can make all the difference when it comes to the behind-the-scenes task of managing your brand and marketing operations.

2021: How Your Marketing Tech Stack Needs to Change

S. ERNEST PAUL

Instead of a shiny penny approach where marketing leaders are trying out every new tool that emerges from the market, businesses focus on creating tech stacks that are smarter, more streamlined, increasingly connected, and dramatically more powerful. Here is what you need to know about marketing technology to lay the foundation for smooth brand management and marketing operations.

Top Marketing Tech for Your Business

Whether you are a B2B or B2C marketer, there is no doubt that you have struggled with lead generation. Both landscapes are increasingly competitive, and lead generation can pose one of your biggest challenges. However, lead generation starts with traffic, and there is an entire collection of tools you can use to help you take care of just that.

#1. From siloed tools to all-in-one solutions

As more marketing channels emerge, marketing teams will continue to specialize rapidly. However, more channels mean more to coordinate and manage. As individual disciplines branch off, marketing teams risk building unintentional silos that may ultimately undercut efficiency and brand consistency. All-in-one solutions consolidate and may eliminate the need for disparate point solutions. They are also powerful for aligning cross-functional teams—like marketing and sales—to work together in harmony with greater speed and efficiency.

#2. Tools that connect and interact well with one another

As the need arises, API-first tools empower businesses to add, remove, or swap out solutions with greater ease. Of course, APIs fuel the free-flowing exchange of data between tools, systems, and channels—another area that is top of mind for marketing leaders for the year ahead. This step-level for your marketing tech stack is all about connection. You need to merge it, find patterns, and learn. As marketing becomes more omnichannel driven, channels and software islands need to be connected through API integrations and data warehouses.

#3. Leveraging data to create personalized customer experiences

Businesses focus on creating increasingly personalized experiences for their website visitors and customers. They invest in improving data pipelines to trigger powerful, real-time experiences and communications between prospects and use existing users with sales teams based on visitor, user, and company information or activity. By planning to leverage data-rich tools to better understand the customer and their journey, businesses can deliver more tailored content and experiences to the right customers at the right time.

Strategy First, Technology Second

Keep in mind that a tool is not a strategy. It may allow you to compare different software packages by their features; however, the real value marketing software offers lies in the strategy and approach it enables and how it affects customer experience (the desired end-result). Before you build or update your marketing stack, it is crucial to devise your marketing strategy. This approach should be shaped around your product, desired audience, and how to reach them. Analyze your current marketing practices carefully and identify where they match the strategy and where they block it. Do the work, map your plan, and only when you have a defined need should you consider purchasing something new. Find out where you lack processes and where you need to do things differently and then choose technology based on that. Mapping out this process will give you a better understanding of the required tools needed for your business. Martech is all about devising the right strategy for your business and only then identifying the technology that will help you execute on that strategy.

The type of business you have will determine which technologies you might find important and how they should be organized. That said, there are certain technologies you should consider as foundational to your marketing technology stack as you build it. Your marketing stack can be broken down into three key stages:

Stage 1: Attract
Stage 2: Engage
Stage 3: Analyze and optimize

Although there are multiple sub-phases within the above, these three are the most common phases almost every business can relate to.

Google Ads – ad tech

When it comes to driving qualified traffic to your website, Google’s search, video, and display ads are the quickest way to get the results you need. Not only can you target people who show a specific interest in what you are selling, Google Ads acts as your first point of contact for lead nurturing tactics like remarketing, email marketing, and conversion optimization.

Demandbase – ad tech

Demandbase enables businesses to deliver personalized online ads to specific people at specific companies across the web while refining the message to convert them into customers.

Unbounce – landing page builder

There is no point in spending hours creating targeted ads only to send prospects to a generic, soulless landing page, as this is one of the quickest ways to lose potential leads and sales opportunities. Unbounce lets you quickly and easily create custom landing pages that will help convert more website visitors into customers. You can create and publish landing pages in minutes—with no code required. The powerful A/B testing functionality allows you to experiment with your messaging, design, and forms to understand the best ways to convert visitors.

Sprout Social – social media management

Sprout Social allows you to manage your entire social media marketing strategy from one place. It can help you attract and engage with hundreds of thousands of customers and prospects. With Sprout Social, you can streamline your publishing workflows, schedule posts at optimal times, and turn social data into meaningful insights. All of this is geared towards optimizing your social media strategy and better connecting with your audience.

Marketo – marketing automation

Marketo allows users to automate their marketing processes like identifying top prospects, creating personalized campaigns that scale, and finding and connecting with the right customers. It is probably overkill for a smaller business. However, if you are moving from a startup to scale-up, Marketo is ideal for those looking to grow and market to a larger audience with a high degree of segmentation.

HubSpot – marketing automation

The breadth of the HubSpot platform is incredible. Its products run the gamut from advertising, blogging, SEO, email, social media, call-to-action, and beyond. This low-cost, or free in some cases, platform is particularly popular with small businesses who cannot afford the wealth of software options that other more mature companies can.

Outreach – sales engagement

Marketing teams have always been good at generating and nurturing leads. However, they might not always be that great with handing those leads over to sales and making sure they are acted on. They often have little insight into whether reps have, in fact, advanced inbound leads or not. Outreach is a type of tool for teams who are serious about sales and marketing alignment. It tracks your reps’ interactions with prospects and customers and recommends prescribed sequences of communications based on that. Instead of logging marketing into one system and sales into another, both teams can use Outreach’s dashboards and tools, making sure no leads fall through the cracks.

Aircall – cloud calling

Every marketer knows that if given only five minutes to show the product to all new users and answer their questions, they would nail their monthly recurring revenue targets. The problem is that setting up so many screen-shares each day is a tooth grinding process. Aircall allows you to start a phone call instantly from pretty much every major software system out there. Getting visitors from chat into a face-to-face demo can all be arranged automatically in a matter of minutes to speed up the sales cycle drastically.

Tableau – business intelligence

Business intelligence (BI) software is an increasingly powerful tool in a marketing team’s arsenal, as it allows teams to track every dollar and every movement throughout the marketing funnel. However, the real power comes in connecting multiple data sources to gain invaluable insights, otherwise lost. Tableau is recognized as the cream of the crop for its visual-based data analysis. Their data visualization is head and shoulders above what traditional BI vendors offer. You can perform reasonably complex data visualization in a very intuitive, drag-and-drop manner, so your team does not need to be fiddling around with SQL and so forth.

LeanData – lead management

Conversions are not a nice, neat, and organized path from point A to B. The conversion process is often more like a winding road of intersections, tangents, and loops that involve an entire host of marketing touchpoints. To understand your marketing program’s real ROI, you need to know which individual components got measurable results. Without these, it is all too easy for marketers to invest in under-performing marketing channels that yield inadequate pipelines and revenue. LeanData connects with your Customer Relationships Management (CRM) to provide the most accurate, channel-by-channel view of your campaign performance so your team can decide how to spend money in the most effective ways. Different marketing attribution models may suit different business needs depending on the buyer’s journey length and complexity. LeanData features fully customizable attribution models that can be finely tuned to your business.

Optimizely – conversion rate optimization

Optimization and experimentation need to be a crucial part of any marketing strategy in 2021. Optimizely allows you to create variations of your existing website with multivariate, multi-page, or A/B tests and then tracks how customers respond to the different versions. The best part is that it is absurdly easy to use. You do not have to code anything to adjust your website with this tool. Optimizely has a visual editor that allows you to make changes by clicking instead of coding, which is perfect if you do not have a full-time development team at your disposal.

Ahrefs – SEO

Ahrefs is a suite of SEO tools that help websites, blogs, and companies do in-depth research on their competitors, grow their search traffic, and monitor their niche. What keywords or topics should you be trying to rank for? How many links do you need to build to rank for your chosen keywords? Ahrefs allows you to do all that and much more.

Zoom – webinars

Conference calls and one-on-one meetings are Zoom’s bread and butter, but it is also a fantastic tool for hosting webinars that will drive people to your website. Zoom provides a useful, easy, and effective way to hold webinars as it hooks into your CRM very nicely, and the video quality is unparalleled. The user experience for the business and participants is next level.

Madkudu – lead scoring

Marketing teams are not just responsible for filling the sales pipeline with quantity, but quality as well. There is no point in attracting hundreds of leads who would never be a good fit in the first place. Lead scoring is one of the best ways to guarantee that the leads they hand over to sales are of high quality. Madkudu is one of the most powerful lead scoring tools available and helps you calculate tons of valuable information, most of which is not visible to your sales team. Beyond only job titles and employee count, Madkudu can evaluate the predicted: revenue of each company; the size of specific teams; tech stack and tools a company uses; whether their solution is B2B or B2C; has a free trial; raised venture capital; and more, meaning your sales team can hone in on leads showing the best determinations of success.

Intercom – customer engagement and lead generation

Intercom’s conversational relationship platform can serve as the backbone of your entire marketing technology stack. You can use it to send targeted messages to visitors on your website, build chatbots to engage qualified leads 24/7 on your website automatically, and CRM. Intercom’s power comes through tracking and monitoring customer data so you can better understand your audience and properly serve them with the right content and messages. Intercom solves one of your biggest headaches when constructing your tech stack integrations. Even if a platform promises great results, it may do more harm than good if it does not integrate with the rest of your tools. Intercom has over 100 integrations with Google Analytics, Salesforce, HubSpot, and many more, so you can rest assured that everything will play nicely together.

Clearbit – data enrichment

Clearbit Reveal can be used to help de-anonymize website traffic. When a prospect visits the website, Clearbit uses its IP address to detect its company, industry, location, and the technology the company already uses. You can thus customize your communication with each individual and avoid those spray-and-pray tactics from years gone by.

Five Considerations for Your Marketing Tech Stack

As technology evolves, marketing tools become increasingly more granular. In the past, one tool could solve three different issues. But today’s marketers need an advanced solution for each channel, task, and function. You will soon find that, with more tools, simple processes become complicated and inefficient. Now, rather than selecting tools based on price or feature set, marketers need to consider various factors before making their decisions. As this is much easier said than done, here are five important questions to ask before purchasing a new software:

1. Do you just want something new or will it deliver results?

At one point or another, shiny object syndrome has gotten the best of us all. Make sure you are not buying a tool just because it is new and exciting. Instead, consider the current tools you already have. Is there a way to reach your goals without using this technology? Do not buy a product just because you can. Adding another tool to your tech stack will only waste resources and add unnecessary stress to your team. Remember, more tools do not always mean better results.

2. Does this integrate with the tools I’m using?

The most important consideration to make when constructing your tech stack is integration. Even if a platform promises impressive results, it can do more harm than good if it does not integrate with the rest of your tools. A new website management tool may promise to double the number of leads you generate. However, if it does not integrate with your CRM, it may require four different people to move leads from one system to another. Not only will this cut into productivity, but the manual data entry will dirty your marketing database and require an additional tool for database maintenance.

3. Have I researched all my options?

Even if a tool checks all the boxes, it is still important to consider other options as well. You should do some more digging and check out some online reviews. There are many high-quality tools on the market, but even though one might seem like a good fit, it does not necessarily mean that another will not be better.

4. Do I have the skills and resources to operate this system?

It is important to buy tools that are easy to run using the resources you already have access to. Some of the best, most advanced technologies may turn into a full-time job. If you are a small team, going with a less sophisticated option will make more sense. Choose a solution that will help you reach your goals without too much effort.

5. Should other departments have input on this buying decision?

It is always considered best practice to share resources and information across departments, especially when purchasing a new tool. Without input from all stakeholders, you will not be able to make an educated purchase. Be sure to consult with all parties involved before handing over your credit card.

Data integrity is a prerequisite for the subsequent technologies – M, AI and Predictive analytics to perform well. The A/B texting has to continually be performed to constantly optimizing campaigns.

Every organization is different from scale to audience to product and geography. The Martech stack has to keep all these factors in consideration

S. Ernest Paul

In Conclusion

Building the right marketing tech stack for any company is no picnic. It can be quite a gargantuan task. But it’s all about integrating the right technologies together so they’re working cooperatively instead of independently. Not only will you get a full, comprehensive view of your customer journey and marketing efforts, but you’ll uncover how to optimize your hard earned marketing dollars.

The ROI Of Adobe Experience Cloud

Executive Summary

Growing digital expectations and competition for empowered consumers and business buyers is forcing organizations to invest in new capabilities that enable them to optimize the value of their customer interactions. Businesses across every industry are looking to digital experience technologies in order to deliver contextually relevant and personalized digital content, with 51% of global software decision makers revealing that they are increasing spend on digital experience solutions over the next 12 months.1 These investments in experience are well-founded:

This study examined the potential return on investment (ROI) enterprises may realize by adopting Adobe Experience Cloud and transforming into an experience-driven business. Adobe Experience Cloud — consisting of Adobe Analytics, Adobe Audience Manager, Adobe Experience Manager, Adobe Campaign, Adobe Advertising Cloud, Adobe Target, and Magento Commerce Cloud — is an integrated cloud platform that serves as the foundation for delivering experiences across marketing, analytics, advertising, and commerce.

To better understand the benefits, costs, and risks associated with this investment, thee were nine customers interviewed across seven industries with an average of nearly five Adobe Experience Cloud products implemented, above average product adoption scores, and years of experience using these solutions within their marketing, customer experience, and analytics functions.

Prior to using Adobe Experience Cloud, interviewed organizations struggled to get a 360-degree view of their customers using disparate, homegrown and third-party marketing and digital experience technologies that were poorly integrated. Furthermore, organizations had no way to empirically test what impacted the customer experience, thereby leading to organizational gaps in what stakeholders knew would help to engage, convert, and retain customers across the customer life cycle.

Key Findings

The following risk-adjusted present value (PV) quantified benefits are representative of those experienced by the interviewed customers, as realized by the composite organization built for this study. Similar to Adobe customers interviewed for this study, the composite organization has an above average Adobe product adoption score using multiple Adobe Experience Cloud solutions including Adobe Analytics, Adobe Audience Manager, Adobe Experience Manager, Adobe Campaign, Adobe Advertising Cloud, and Adobe Target.

Financial growth: Interviewed organizations leveraged Adobe Experience Cloud to drive CX transformation that resulted in the following superior business results across the customer life cycle:

A 14% year-over-year (YOY) growth in new unique visitor site traffic by Year 3 of the analysis. Organizations drove significant improvements in customer acquisition and brand engagement metrics by leveraging behavioral analytics to optimize sites for organic search and using lookalike modeling and advertising retargeting to identify, activate, and engage new high value customer segments. Furthermore, improved content velocity and effectiveness using Adobe Experience Manager helped drive earned media traffic growth. Over three years, the uplift in profit from increased traffic for the composite organization totaled a PV of just under $5 million.

A 25% increase in web and mobile conversion rates. Interviewees built a testing culture, enabling them to deliver personalized and optimized messaging, promotions, and content to targeted audiences at scale. Collectively, these capabilities improved customer engagement and lead quality, ultimately resulting in incremental closed business. For the composite organization, Adobe Experience Cloud drove a 25% increase in conversion rate by Year 3 of the analysis, generating a PV of over $11 million in incremental profit over the three-year analysis.

A 10% uplift in average order values over three years through improved targeting and messaging to high value segments. Using Adobe Audience Manager to identify and activate high value audiences and a combination of Adobe Target and Adobe Experience Manager to provide consistent, highly personalized omnichannel engagement, the composite organization was able to grow average order values by 10%, generating a PV of $3.7 million in additional profit over three years.

A 10% YOY growth in loyalty program membership and a 60% three-year increase in upselling loyalty program members. Adobe Experience Cloud helped organizations exceed expectations for customer experience metrics, improving customer engagement and helping drive loyalty and rewards program membership growth. Improved loyalty program membership in turn enabled organizations to personalize each loyal members’ experience on the website using Adobe Target, helping drive upselling and repeat purchase metrics. Loyalty program membership growth and improved upselling conversion rates generated a PV of over $2.8 million in additional profit for the composite organization over three years.

Operational productivity gains: Interviewees boosted customer digital engagement and streamlined marketing, customer insights, digital analytics, and experience team business processes using Adobe Experience Cloud. The following risk-adjusted present value (PV) quantified benefits are representative of those experienced by the interviewed organizations:

Repurposed 2.5 FTE analyst and digital marketing resources to testing and personalization activities. By streamlining several formerly manual, labor-intensive data analysis, reporting, segmentation, and multivariate testing activities, the composite organization was able to save time and refocus the equivalent of 2.5 FTE analyst and digital marketing resources to personalization and cross-channel optimization.

Web, mobile, and product page content changes that would take nearly a week could be implemented in hours using Adobe Experience Manager. By consolidating redundant content management systems (CMS) and leveraging Experience Fragments in Adobe Experience Manager to propagate content changes across channels, organizations increased content velocity. In addition, Adobe Experience Manager helped marketing to implement content changes in a fraction of the time of their legacy systems without the involvement of IT. Over three years, the efficiencies from content management totaled a PV of over $370,000.

Marketing used Adobe Campaign to build campaigns in half the time it took with their legacy tools. Using Adobe Campaign, Adobe Experience Manager, and Adobe Target, organizations reduced campaign execution time from at least five weeks to two-and-a-half weeks. Over three years, the efficiencies from faster campaign execution totaled a PV of $3.9 million.

A 40% reduction in contact center call volumes from self-service customer care. Organizations were able to empower customers with contextually relevant self-service digital content that helped resolve customer service requests faster, improving the customer experience and reducing contact center call volumes. Over three years, customer care center calls were reduced by 40%, saving the composite organization a PV of $1.7 million.

Customer acquisition and technology cost savings: Organizations were able to retire and consolidate legacy content management and analytics tools, saving both technology and IT administration time and labor. Furthermore, organizations accrued a variety of media, agency, and customer acquisition cost savings by bringing audience management in- house and optimizing their campaign and media spend. The following risk- adjusted present value (PV) quantified benefits are representative of those experienced by the interviewed organizations:

›  Customer retention improved by 2% saving nearly $1.5 million in customer replacement costs. Organizations were able to avoid unnecessary customer acquisitions costs by improving customer retention and improving brand loyalty. Over three years, total savings from improved customer retention totaled a PV of $1.5 million.

›  A 2.5% reduction in customer acquisition and agency costs freed up capital of CX transformation. In-house advertising suppression, retargeting, audience management, and personalization capabilities using Adobe Advertising Cloud, Adobe Target, and Adobe Audience Manager reduced customer acquisition costs while concurrently limiting reliance on outside agencies, saving the composite organization a PV of just under $2.7 million over three years.

›  Over $2 million in cost savings from the retirement of legacy technologies. Organizations eliminated poorly integrated and redundant content management systems and analytics tools. For the composite organization, this saved a PV of just over $2 million in technology and people costs over three years.

Costs. The interviewed organizations experienced the following risk- and present-value adjusted costs, which have been included in the financial analysis for the composite organization:

Adobe software licensing costs. Software licensing and other fees paid to Adobe for use of Adobe Analytics, Adobe Audience Manager, Adobe Experience Manager, Adobe Target, Adobe Campaign, and Adobe Advertising Cloud, which totaled a PV of $2.6 million over the three-year analysis.

Professional and managed services fees. These are engagement fees paid to professional services firms to assist with the initial proof-of- concept, full implementation, and ongoing management and maintenance of Adobe Experience Cloud solutions, which totaled a PV of $3.6 million over the three-year analysis.

Internal resource costs. These are internal resource costs to support and manage the initial proof-of-concept and full implementation of Adobe Experience Cloud solutions. In addition, this cost category includes the ongoing analytics, digital marketing, testing, personalization, IT administration, and development resources required to manage and harness the full capabilities of Adobe Experience Cloud. These costs totaled a PV of just under $3.6 million over the three-year analysis.

Training costs. These are the training costs for new and existing Adobe power and self-service users. Training costs totaled a PV of over $460,000 over the three-year analysis.

Forrester’s interviews with nine existing customers and subsequent financial analysis found that an organization based on these interviewed organizations experienced benefits of $35.1 million over three years versus costs of $10.3 million, adding up to a net present value (NPV) of $24.8 million and an ROI of 242%.

TEI Framework And Methodology

From the information provided in the interviews, Forrester has constructed a Total Economic ImpactTM (TEI) framework for those organizations considering adopting Adobe Experience Cloud.

The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. The study took a multistep approach to evaluate the impact that Adobe Experience Cloud can have on an organization:

DUE DILIGENCE

Interviewed Adobe stakeholders and Forrester analysts to gather data relative to Adobe Experience Cloud.

CUSTOMER INTERVIEWS

Interviewed nine organizations using Adobe Experience Cloud to obtain data with respect to costs, benefits, and risks.

COMPOSITE ORGANIZATION

Designed a composite organization based on characteristics of the interviewed organizations.

FINANCIAL MODEL FRAMEWORK

Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewed organizations.

CASE STUDY

Employed four fundamental elements of TEI in modeling Adobe Experience Cloud’s impact: benefits, costs, flexibility, and risks. Given the increasing sophistication that enterprises have regarding ROI analyses related to IT investments,

The Psychology of Color in Brand Marketing

Color psychology is the study of how colors determine human emotions and behaviors. We react to colors based on a complex series of interactions between our personal tastes, our family upbringing, and our cultural backgroundColor can affect perceptions in subtle ways; for example, it can enhance or detract from the way that food tastes. The right colors can even enhance how effective pills and placebos are; blue is used for calming or sleep-inducing pills whereas red or yellow are usually used for stimulantsEvery brand and business uses colors deliberately in their product designs, packaging, advertisements, and websites. High-level graphic design relies in part on the ability to select colors that work with the brand and the company’s mission. The psychology of color can and must be used to trigger the right responses from consumers, and this is part of the graphic designer’s goal.Great graphic design also anticipates cultural differences in the way colors are perceived. The same color can mean very different things to different audiences; for example, in most cultures yellow has a bright, cheerful connotation, but in China it may have vulgar or adult connotations. In the US white symbolize purity and is often used for bridal branding, but white is a mourning color in Japan, India, China, Korea, and the Middle East. The bottom line here is to know your audience and choose wisely.

A lot has been studied about how color influences the brain to react. Different color have different outcomes.

How people respond to different color stimuli varies from person to person. In a U.S. study, blue is the top choice at 35%, followed by green (16%), purple (10%) and red (9%). Blue and green may be due to a preference for certain habitats that were beneficial in the ancestral environment as explained in evolutionary aesthetics .Orange, yellow, and brown are the least popular colors, respectively.

https://www.youtube.com/watch?v=OHa922t7DmQ

Color preference may also depend on ambient temperature. People who are cold often select warm colors such as red or yellow, while people who are hot favor cool colors like blue and green.[6 Introverted individuals are also found to be more attracted to cool colors, while extroverts prefer warmer colors.

Gender has also shown to influence how colors are received, with some research suggesting women and men respectively prefer “warm” and “cool” colors. Black, white, and gray, as tones or shades, were shown to be received more positively by males than females.

Humans are visual beings. The brain processes pictorial information 60,000 times faster than it processes text. In addition, 90 percent of the information sent to our brains is visual. And an important component of that visual information is color.

Color psychology, the study of how color affects human behavior, is a hugely debated topic. The debate about the specific ways color affects humans is as old as color itself. Some groups even dismiss color psychology completely because the individual perception of any color is dictated largely by personal experiences and interactions with the color.

But color does have an impact on our lives. For example, in marketing and branding, color plays a prominent role in memorability: Think of Coca-Cola’s characteristic red, or the yellow golden arches of McDonald’s.

For brands, paying attention to color psychology and applying what holds true for a majority of the populace can help in getting an edge in a highly competitive marketing scene.

Let’s take a look at some of the ways brands can use the psychology of color to their advantage.

Creating a visual identity

As mentioned earlier, one of the important ways brands use color is to create a visual identity for themselves. This helps to differentiate the brand from that of the competition. It also helps with memorability.

How do brands go about doing this? The first step is to identify the core components of your brand personality.

In her publication, Dimensions of Brand Personality, Stanford University professor and psychologist Jennifer Aaker identified five core dimensions that play a role in a brand’s personality: sincerity, excitement, competence, sophistication and ruggedness.

After identifying elements that represent your brand, you can then go about creating a color scheme that communicates those elements. Studies such as Interactive Effects of Colors have proven that it is important for a brand color to “fit” what is being sold.

Appealing to specific audiences

One of the most important lessons from color psychology is that people respond differently to color based on their gender, age and cultural background.

Research has established that blue is the most popular color for both men and women. Then women are particularly inclined toward pink as men are toward blue. Big brands have wielded this information to create powerful brands.

A good example is Victoria’s Secret. Its characteristic shade of pink was not just chosen at random—it is a favorite of the company’s target audience: women. The color also reinforces the image of the brand personality; pink is an “elusive” color, and its lighter shades are barely visible. Using pink not only plays on the “secret” in the brand name; it also shades the product, underwear.

Age is also known to influence color preferences. Whereas younger audiences might be drawn to bright, youthful colors, older audiences might prefer cooler shades.

Understanding how culture affects color perception is also important for brands targeting international markets. A color considered acceptable in one culture may be a complete turn-off in another.

By choosing colors that the audience is most receptive to, brands can get an edge over their competitors.

Associating your brand to a specific mood

Another important tip from color psychology is that certain colors put people in a specific mood.

Brand strategist Thomson Dawson explains it this way: “All colors create a specific frame of mind for people—it’s called a mood. Having people be in the most receptive mood is essential for their engagement with your brand. Color sets the mood of brand expression and, more important, creates mental associations to the meaning of your brand within the context of the world it lives in.”

Research has shown that the color red causes people to react with greater speed and force, which might prove useful during athletic activities. Little wonder car companies like Ferrari and Lamborghini combine red and black to create a balance between the powerful and the luxurious.

Coca-Cola also takes advantage of the effect of the color red. For some people, a mere sign of the characteristic red color is enough to get them thirsty.

Psychologist Andrew J. Elliot tested to see if the color of a person’s clothing could make them appear more sexually appealing. He found heterosexual men and women dressed in red were significantly more likely to attract romantic attention than women dressed in any other color. The color did not affect heterosexual women’s assessment of other women’s attractiveness. Other studies have shown men dressed in red appeal to heterosexual women.

Contrary to the adult fondness for blue, in children yellow is the most favored color, perhaps owing to its associations with happiness. However, children like colors they find to be pleasant and comforting are changeable, while adult color preference is usually easily influenced.

Cultural background has been shown to have a strong influence on color associations. Studies have shown people from the same region, regardless of ethnicity, will have the same color preferences. Common associations connecting colors to a particular emotion may also differ cross-culturally.

For instance, one study examined color relationships with emotion with participants in Germany, Mexico, Poland, Russia, and the United States; finding that red was associated with anger and viewed as strong and active

However, only Poles related purple with both anger and jealousy while Germans linked jealousy with yellow. This highlights how the influence of different cultures can potentially change perceptions of color and its relationship to emotion.

Increase conversions and click-through rates

One area where the psychology of color is particularly relevant in marketing is in the use of call-to-action buttons. Several studies have been conducted on the importance of choosing the right color for call-to-action buttons. The reason for the attention is simple: The aim of marketing is to get the consumer to take the desired action. On the web, a call-to-action button is a gate to the desired action.

An example is a study by Hubspot, which A/B tested a green button vs a red button. Again, red won. The red button outperformed the green button by 21 percent.

This in no way means that every brand should use red for their CTAs, but it does mean that paying attention to CTAs and making sure that they are prominent can determine whether they get the click or not.

This also applies to social media campaigns. Whether it’s a photo or video shared, the text or area showing the required action should stand out and convey a sense of urgency.

Conclusion

Color is a powerful visual component. Brands can not only apply the color psychology in differentiation, it can be used to appeal to specific audiences and elicit certain responses from their prospects. One thing to keep in mind, though, is that the right combination of colors for any brand can only become evident through consistent testing.

A CDP is even more critical for the Martech Stack in 2021

The rapid shift to digital channels during COVID-19 grabbed headlines through out 2020. But for marketers, it was only one change among many in an eventful year.

Google Chrome joined Safari and Mozilla in announcing it would end support for third-party cookies, eliminating a tool marketers had long relied on to accurately attribute ad spend and market. The passage of the California Privacy Rights Act (CPRA) in November left them with more data privacy rules to address. And marketers were expected to handle all of these changes with budgets that had been reduced due to a sudden economic recession.

To understand how marketers have responded to these changes and what that means for the future of CDPs in 2021, through surveys of 300 U.S. marketers in the travel, hospitality, finance, retail and healthcare industries in November 2020

Research found that CDPs have been vital to marketers’ efforts to address the many challenges of 2020. These experiences have solidified the CDP’s position in the center of organizations’ marketing stacks and increased marketers’ confidence that the technology is here to stay. In our 2021 report, 68% of respondents said CDPs will remain a must-have technology in 2025, compared to only 57% in 2020.

The pandemic shifted marketers’ priorities

All of the organizations in our survey (100%) saw at least some
marketing budget cuts due to COVID-19, and 41% saw cuts over 20%. Though the pandemic made organizations more reliant on digital channels for reaching their customers, most marketers couldn’t afford to invest in new tech solutions. More than three-quarters (77%) of organizations cut tech initiatives in 2020 due to COVID-19.

At the same time as budget cuts were forcing them to do more with less, marketers shifted their priorities to address new challenges caused by the pandemic. For marketers without a developed first-party data strategy, the demise of third-party cookies made it harder to manage ad spend across digital channels. Tighter budgets made customer acquisition and retention more difficult. And finally, the restriction or elimination of in- person experiences put incredible pressure on marketers to offer a unified customer experience across channels — particularly digital ones.

Results suggest that marketers are using their CDPs to address
these challenges head-on. For example, in 2020 report, respondents focused on various forms of real-time functionality as the most useful capabilities of a CDP. Now, the emphasis has shifted to managing data across multiple channels and resolving customer identity — which are important for delivering seamless digital experiences in a post-cookie world.

2021 may see a rise in CDP investment

Despite the drop in tech investment overall, there wasn’t a drop-off
in CDP investment during COVID-19 — likely because CDPs are so important for addressing marketers’ pandemic-related concerns. Eighty-nine percent of marketers we surveyed had a CDP, and nearly a tenth (9%) had adopted a CDP since the beginning of the pandemic in March 2020.

Key takeaway

Marketers understand that CDPs are key to unlocking the full potential of first-party data. The right CDP will anchor a robust customer data supply chain that frees your organization from excessive reliance on third-party data. It will also enable accurate attribution of ad spend and market, enabling more effective ad spend management. Finally, a CDP will support a unified customer experience across channels, built on first-party data acquired with customers’ consent.

Recommendation

With third-party cookie loss, a first-party data strategy is no longer optional. As tech spending rebounds in 2021, look to invest in a CDP that is equipped to meet the challenge of third-party cookie loss, while also supporting better customer experiences.

State of the CDP 2021

In 2021, marketers will make up for lost time by increasing their tech investments. Eighty-nine percent of organizations will spend more on tech in 2021 than they did in 2020, and almost one-third (32%) will spend significantly more. Perhaps because they were hit harder by the pandemic, travel and hospitality marketers were most likely to say they’ll spend significantly more. The big question: Where will marketers allocate these funds in 2021?

The importance of integrations

As first-party data becomes more central to marketing strategy, CDPs are becoming more central to martech stacks, too. That means they need to integrate with more solutions across the organization — and they need to do so easily and quickly.

As a result, marketers are demanding more from their CDPs. Integration with more third-party solutions shot up from the No. 4 improvement marketers want in their CDPs in 2020 to No. 1 in the 2021.

Unfortunately, many marketers feel their existing solutions aren’t delivering. Almost two-thirds (62%) of respondents said it’s difficult to integrate new third-party solutions into their martech stacks. And 63% said they have struggled to achieve marketing goals due to the difficulty of integration since March 2020.

A barrier to cross-compatibility

When it comes to more and faster third-party integrations, one major barrier stands in marketers’ way. A majority (53%) of marketers strongly agreed that their martech stacks are walled gardens — meaning they consist mostly of solutions from one vendor that are designed to work together. Products that are part of a walled garden will almost always have limited cross-compatibility with third-party solutions.

It’s no surprise that many marketers are actively seeking new solutions that won’t limit their options: Seventy percent said they’ve discussed adapting their martech stack to incorporate third-party solutions more easily

Key takeaway

With marketers under pressure to do more with less, speed and efficiency are at a premium. Marketers need to be able to integrate new solutions into their martech stacks fast. Unfortunately, tools that are part of walled gardens — including some CDPs — can’t deliver the fast, seamless integrations marketers need.

Recommendation

It’s time for marketers to break out of their walled gardens. Look for a vendor-neutral CDP that will integrate quickly and easily into your existing martech stack, and also work with any new solutions you add to the stack later. By building the stack you want based on your organization’s particular needs — not the options available from one particular vendor — you’ll take the first step toward unlocking the full power of your customer data.

The changing privacy landscape

Data privacy regulations continued to evolve rapidly during the COVID-19 pandemic. Some organizations are still getting up to speed with the California Consumer Privacy Act (CCPA), which went into effect on January 1, 2020, just months before the pandemic hit and derailed marketing budgets. Now they must also address CPRA, which passed

in November 2020 and amends and expands CCPA.

Marketers realize that managing these new regulations — on top of existing data privacy rules like HIPAA — requires the use of sophisticated tech solutions. Data privacy protection was the top outcome marketers are looking to drive with technology in 2021.

A powerful tool for ensuring privacy

CDPs are uniquely suited to meet marketers’ need for greater control over customer data. For example, by enabling the management of data flows based on geography, CDPs support compliance with data privacy rules
for different states and countries
. Powerful encryption and data recovery capabilities secure sensitive information against breaches and cyberattacks. And these are only some of the ways CDPs help keep customer data safe.

It’s likely that marketers will rely even more heavily on CDPs for data privacy controls in the future. Marketers who have CDPs agree that data privacy is the most important area for the technology to address, narrowly edging out predictive insights and customer acquisition.

It’s likely that marketers will rely even more heavily on CDPs for data privacy controls in the future. Marketers who have CDPs agree that data privacy is the most important area for the technology to address, narrowly edging out predictive insights and customer acquisition.

AI is key to 2021 marketing strategies

The pandemic has made delivering great digital customer experiences
— and doing so efficiently, at low cost — more important than ever. To
keep up with the competition, marketers must predict customer behavior and take proactive action to drive the outcomes they want
. And that means effectively deploying AI and machine learning to generate predictive insights. Fifty-nine percent of respondents say AI capabilities are extremely important for achieving their marketing priorities for 2021, and 99% say they’re at least somewhat important.

Closing the AI expertise gap

CDPs are the foundation of AI and machine learning capabilities because they help ensure the data that is collected is complete and accurate, which is critical for AI and machine learning to be effective. Marketers already understand this: Customer analytics and predictive insights is the second most important solution area they want CDPs to address. Many marketers are already seeing AI success.

A majority (62%) say their organizations are very effective at deploying AI for predictive marketing insights.

However, gathering the right data to feed AI and machine learning algorithms isn’t trivial. And while marketers are mostly confident about their ability to build the data foundations necessary to deploy AI, not all feel like they have the right expertise. Among respondents who say their organizations aren’t very effective at deploying AI for predictive marketing insights, the top reasons are lack of expertise among marketers (30%) and IT (29%). It’s likely building the data skills and capabilities necessary to support machine learning and AI will be a major focus for marketers in 2021.

Key takeaway

AI will be an important growth area in 2021, as many marketers are still learning the ropes. The right CDP will help you close the expertise gap both by ensuring you collect the right set of complete, unified customer data and by offering built-in predictive capabilities that are easy for non-data-scientists to use.

Recommendation

Without the right customer data, no algorithm can deliver results. Look for a CDP that will help you build a strong data foundation for AI and machine learning by collecting and orchestrating the right datasets for your business. Adopting a CDP with easy-to- use, marketer-friendly data and machine learning capabilities will help you make smarter marketing choices and drive overall success in 2021.

However, gathering the right data to feed AI and machine learning algorithms isn’t trivial. And while marketers are mostly confident about their ability to build the data foundations necessary to deploy AI, not all
feel like they have the right expertise. Among respondents who say their organizations aren’t very effective at deploying AI for predictive marketing insights, the top reasons are lack of expertise among marketers (30%) and IT (29%). It’s likely building the data skills and capabilities necessary to support machine learning and AI will be a major focus for marketers in 2021.

“Customer analytics and predictive insights is the second most important solution area [marketers] want CDPs to address.”

The elusive revenue connection

In 2020, CDPs became more integral to marketing operations and data teams, addressing more use cases, incorporating more data and linking
to more third-party tools across organizations. This has made it even more difficult to quantify CDP ROI, since impact is diffused across so many solution areas. It’s no surprise, for example, that organizations still struggle to quantify CDPs’ impact on revenue: Just 7% of organizations measure CDP ROI based on revenue, the same percentage as in the 2020 report.

In the 2020 report, respondents cited data quality as their top way to measure CDP ROI, which isn’t ideal. Data quality is important, but hard numbers about monetary impact are key for securing leadership buy-in. The 2021 data shows that marketers have made some progress tying CDPs to operational savings, which is now the No. 1 way to measure CDP ROI, up from No. 2 in 2020.

Time to value is a major differentiator

Perhaps due to the increasing sophistication of ROI measurement, or the difficulty of integrating CDPs with the martech stack, average time to value for CDPs has increased. In the 2020 report, more than half (53%) of companies saw ROI from their CDP in six months or less. But in the 2021 report, less than one-third (30%) of companies did so.

A majority (57%) of marketers expect to see ROI from martech solutions within six months or less. That means only some CDPs are meeting marketers’ expectations for time-to-value — the rest are lagging behind, possibly due to slow integrations.

The CDP of the future

CDPs are a relatively new technology, and marketers are still working out which use cases make the most sense for them. But in 2020, marketers made significant progress toward more effectively integrating CDPs into their marketing operations.

CDPs were central to solving the biggest challenges of 2020, including budget cuts, new data privacy legislation and a sudden shift to digital channels due to the COVID-19 pandemic. The prospect of third-party cookie loss in particular brought CDPs to the fore: A first-party data strategy anchored by a CDP used to be “nice to have” — in 2020, it became absolutely vital for marketing success.

In 2021 and beyond, CDPs will be increasingly foundational to the martech stack. They’ll adapt flexibly to new regulations, continue to underpin customer acquisition and retention strategies and enable powerful AI and machine learning capabilities. To set themselves up for success, marketers should look for CDPs that:

  • Are vendor-neutral: Faster, easier integration will speed time to value and increase overall ROI.
  • Offer predictive insights: User-friendly AI capabilities will empower marketers to deliver standout customer experiences.
  • Protect data privacy: Capabilities like data encryption and consent management keep organizations compliant with regulations like CPRA. After the challenges of 2020, now is the time for marketers to plan strategically for the future by investing in tech. Equipped with the right CDP, marketers can make 2021 a record-breaking year for their businesses.
  • Marketers struggle to fully leverage integrated customer data, which has driven hype around the opportunity of customer data platforms. Tempered expectations of the effective scope of customer data platform (CDP) use cases are pushing this market toward the Trough of Disillusionment on Gartner’s Hype Cycle for digital marketing and advertising.
  • ■Effective use cases for customer data platforms often depend on or overlap with capabilities in IT systems such as master data management, which contain customer data but are typically managed outside of marketing.
  • ■Although the diverse vendor ecosystem is composed of vendors with rapidly evolving capabilities, pure-play CDP vendors compete against those with legacies in either technical data management or marketing, such as multichannel marketing hubs. Vendors frequently add new features and capabilities, but buyers struggle with a single CDP label used by vendors to cover the entire spectrum of use cases when most only excel at a subset of these.
  • ■Most CDP vendors originated as solutions for B2C use cases, and only a handful of solutions support the account-level aggregations and ABM tactics required for facilitating B2B marketing orchestration

How to Make a CDP Work for Your Organization

Whether you’re choosing a CDP for the first time or switching to a new CDP, don’t rush the process. Take the “crawl, walk, run” approach when considering the right Customer Data Platform and plan for the long-term. You’ll want to ensure that you choose a CDP that your organization can grow into: a scalable CDP that supports a wide range of third-party integrations, real-time capabilities and strong data governance.

Take the “crawl, walk, run” approach when considering the right CDP and plan for the long-term. Click & Tweet!

Navigating the CDP landscape alone is an overwhelming process for an organization. We help you evaluate which CDP technology best aligns with your organization’s roadmap for improving the customer experience. Our Customer Data Platform (CDP) consultants work with clients to help break down data silos, ensure data quality and activate use-cases, all the while respecting increased concerns for customer privacy.

Recommendations

To best evaluate the CDP marketplace using data and analytics technology:

  • ■Identify whether the majority of your use cases are operational by solving for inefficiencies in data management or data delivery, or analytical, such as growing customer spend or reducing churn.
  • ■Consult with key stakeholders in your organization before deciding whether to deploy a CDP. Determine your brand’s willingness to source technology externally versus building and maintaining in-house and clearly document your needs for marketing orchestration and native execution.
  • ■Conduct an inventory of existing skills in order to evaluate the marketing team’s ability to collaborate with IT and other stakeholders for data science, customer modeling, data management and execution. Select marketing solutions that complement and integrate with other enterprise systems such as data warehouses, CRM tools, or personalization engines.
  • ■Evaluate the level of risk tolerance in your organization for emerging technologies by determining whether a CDP — or related technology system — is an ideal fit.

Strategic Planning Assumption

By 2023, 70% of independent CDP vendors will be acquired by larger marketing technology vendors or will diversify through M&A of their own to enter adjacent categories such as personalization, multichannel marketing, consent management, and/or MDM for customer data.