After years of investing in martech platforms, customer data tools, analytics systems, and AI, most marketers still believe their technology is insufficient.
According to a new survey from eClerx, 78% of marketers say their martech stacks do not support their business goals despite significant investments over the past few years. At the same time, only 25% describe their organization as entirely data-driven, raising the question of whether the industry’s technology spending has translated into better decision-making.
The findings highlight a growing disconnect between technology adoption and business outcomes. Marketing teams have more access to AI-generated data, dashboards, and insights than ever before. Yet many continue to struggle with attribution, budget allocation, personalization and performance measurement.
This gap between understanding 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: Collecting information has become easier than acting on it.
Marketers have the tools but not the confidence
One of the most striking findings is marketers’ lack of confidence in their data.
Three-quarters of respondents say they make investment decisions based only on partial data. Meanwhile, 47% say they have only moderate confidence in their ability to measure true cross-channel ROI. Only 24% use media mix modeling to reallocate budgets based on live performance data.
Taken together, these figures suggest that the industry may have solved the problem of data collection without solving the problem of trust in data.
This challenge appears throughout the investigation. As organizations continue to invest in analytics and measurement tools, many executives remain reluctant to use this information as the primary basis for their 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 those reports into action.
Siled data remains a stubborn problem
The survey also highlights how far many organizations remain from the unified customer view that marketers have sought for years.
Sixty-eight percent of respondents say data remains partially unified or fragmented across marketing, sales, customer and analytics environments. Nearly half describe their martech stacks as underperforming 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 who browses online and purchases in-store may still appear as 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 visualizing 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 all functions.
Why ideas rarely turn into actions
The report claims that the sector’s main bottleneck is no longer information generation.
This observation is particularly 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. Yet the survey suggests that many companies still lack the processes needed 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 appear in several ways.
Many organizations struggle to act quickly because approval processes remain slow and reporting systems remain disconnected. Others can identify opportunities but cannot deploy successful experiences across all channels. Real-time insights often remain concentrated within media and advertising teams rather than influencing broader customer experience, planning or business decisions.
In other words, marketers produce more information than their organizations can use.
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AI can amplify the problem
The report has an understated message for marketers rushing to adopt AI.
Much of the AI debate assumes that generating insights is the main challenge. But eClerx says execution has become the biggest constraint. If organizations already struggle to act on existing data, AI could simply increase the volume of recommendations routed to systems that aren’t designed to respond to them.
This may explain why some companies continue to add technology while only seeing incremental improvements in performance.
The survey shows that organizations that succeed with data do not necessarily use different platforms. They use similar technologies within operating models that connect data, decisions, accountability and execution.
The next challenge is operational
Perhaps the most valuable insight from the report is that marketing maturity depends less on technology acquisition and more on operational design.
For years, marketers have focused on building the stack. Today, most large organizations already have them. 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)
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