After years of investing in martech platforms, customer data tools, analytics and artificial intelligence, most marketing leaders still feel their technology isn’t up to scratch.
According to a new survey from eClerx, 78% of marketing leaders say their martech stacks don’t support their business goals despite significant investments in recent years. At the same time, only 25% describe their organization as completely data-driven, raising questions about whether the industry’s technology spending has resulted in better decision-making.
The findings highlight a growing disconnect between technology adoption and business outcomes. Marketing teams have more access than ever to AI-generated data, dashboards and insights. Yet many continue to struggle with attribution, budget allocation, personalization and performance measurement.
This gap between intuition and execution is what eClerx describes as the “activation gap.” Whether marketers agree with the label or not, the survey data suggests a common problem: Gathering information has become easier than acting on it.
One of the most surprising findings is the lack of trust marketers have in their data.
Three-quarters of respondents say they make investment decisions using only partial data. Meanwhile, 47% say they have only moderate confidence in their ability to measure true multi-channel ROI. Only 24% use media mix modeling to reallocate budgets based on live performance data.
Taken together, these numbers suggest that the industry may have solved the data collection problem without solving the data trust problem.
This challenge appears throughout the survey. As organizations continue to invest in analytics and measurement tools, many leaders remain reluctant to use that information as the primary basis for business decisions. Instead, they often rely on experience, assumptions, or historical performance.
The result is a marketing organization that can generate reports but struggles to turn them into action.
Siled data remains a stubborn problem
The survey also highlights how many organizations are still far from the unified view of the customer that marketers have been pursuing for years.
68% of respondents say data remains partially unified or fragmented across marketing, sales, customer and analytics environments. Nearly half describe their martech stacks as only partially effective because data remains siled across systems and teams.
These silos create practical challenges that go far beyond reporting.
In retail and consumer goods organizations, for example, a customer browsing online and purchasing in-store may still appear to be two different people because the online and offline data environments are disconnected. In high-tech companies, product analytics and marketing analytics often operate independently, preventing teams from seeing the entire customer journey.
The technology itself is rarely the problem. Most organizations already have sophisticated tools. The challenge is to connect these systems in a way that makes customer intelligence accessible across functions.
Because intuitions rarely become actions
The report argues that the industry’s biggest bottleneck is no longer generating insights.
This observation is especially relevant as AI becomes an increasingly important part of marketing operations. Organizations can now generate recommendations, forecasts, audience insights and performance analytics faster than ever. However, the survey suggests that many companies still lack the processes necessary to operationalize this information.
According to eClerx, 86% of respondents cite fragmented data, inconsistent reporting, limited real-time visibility, or weak attribution frameworks as barriers to improving performance.
Symptoms manifest themselves in different ways.
Many organizations struggle to move quickly because approval processes remain slow and reporting systems remain disconnected. Others are successful in identifying opportunities but not scaling successful experiments across channels. Real-time insights often remain concentrated within media and advertising teams rather than influencing customer experience, planning or broader business decisions.
In other words, marketers produce more information than their organizations can use.
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Artificial intelligence could amplify the problem
The report contains an underappreciated message for marketers rushing to adopt AI.
Much of the debate around AI assumes that generating insights is the primary challenge. But eClerx says execution has become the biggest constraint. If organizations already struggle to act on existing data, AI may simply increase the volume of recommendations flowing into systems that aren’t designed to respond.
This may explain why some companies continue to add technology and see only incremental improvements in performance.
The survey shows that organizations that succeed with data don’t necessarily use different platforms. They are using similar technologies within operational models that connect data, decisions, accountability and execution.
The next challenge is operational
The report’s most valuable insight may be that marketing maturity is focusing less and less on technology acquisition and more on operational design.
For years, marketers have focused on building the stack. Today, most large organizations already have one. The next challenge is ensuring information moves quickly from dashboards to campaigns, customer experiences, budget decisions and business actions.
The full report is available here. (Registration required)
