After years of investment in martech platforms, customer data tools, analytics systems, and AI, many marketing leaders still believe their technology is falling apart.
According to new research from eClerx, 78% of marketing leaders say their martech stacks are not supporting their business goals despite significant investment over the past few years. At the same time, only 25% describe their organizations as fully data-driven, raising questions about whether the industry’s technology spending has translated into better decision-making.
The findings point to a growing disconnect between technology adoption and business outcomes. Marketing teams have more access to data, dashboards, and insights generated by AI than ever before. Yet many continue to struggle with budgeting, budget allocation, personalization, and performance measurement.
That gap between understanding and action is what eClerx describes as the “opening gap.” Whether marketers agree with the label or not, the survey data raises a common problem: gathering intelligence is easier than acting on it.
One of the most striking findings is the lack of confidence marketers have in their data.
Three-quarters of respondents say they make investment decisions using only partial data. Meanwhile, 47% report 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, those numbers suggest that the industry is likely to solve the data-collection problem without solving the data-trust problem.
That challenge is evident throughout the survey. While organizations continue to invest in analytics and measurement tools, many leaders remain reluctant to use that data as the primary basis for business decisions. Rather, they often refer back to historical experience, thought, or practice.
The result is a marketing organization that can generate reports but struggle to turn those reports into action.
Aggregated data remains a stubborn problem
The survey also highlights how many organizations have remained in a unified customer view for many years.
68 percent of respondents said data remains partially integrated or fragmented across marketing, sales, customer, and analytics areas. About half describe their martech stacks as somewhat ineffective because data remains hidden across systems and teams.
Those reserves create practical challenges that go beyond reporting.
In retail and consumer goods organizations, for example, a customer who browses online and buys in a store can 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 work independently, preventing teams from seeing the full customer journey.
The technology itself is rarely the problem. Many organizations already have advanced tools. The challenge is to connect those systems in ways that make customer intelligence accessible across operations.
Why details rarely become action
The report says that the biggest problem in the industry is no longer generating knowledge.
That view is even more important as AI becomes an increasingly important part of marketing operations. Organizations can now generate recommendations, forecasts, audience insights, and performance analysis faster than ever before. However, the survey suggests that many companies still lack the processes necessary to implement those ideas.
According to eClerx, 86% of respondents cite disparate data, inconsistent reporting, limited real-time visibility, or weak attribution frameworks as barriers to improving performance.
Symptoms come in many forms.
Many organizations struggle to move quickly because approval processes are always slow and reporting systems are often disconnected. Others can see opportunities but cannot measure successful experiments across channels. Real-time data often remains entrenched among media and marketing teams rather than impacting broader customer experience, planning, or business decisions.
In other words, marketers generate more intelligence than their organizations can use.
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AI may exacerbate the problem
The report contains an underappreciated message for athletes racing to use AI.
Most of the discussion of AI assumes that generating information is a major challenge. But eClerx says executions have become a major obstacle. If organizations are already struggling to act on existing data, AI can simply increase the volume of recommendations flowing into systems that weren’t built to respond.
That may explain why some companies continue to add technology while seeing only incremental improvements in performance.
Research shows that organizations that thrive on data don’t necessarily operate across platforms. They use common technologies within operating models that connect data, decisions, accountability, and performance.
The next challenge is working
The report’s most important insight may be that marketing growth is becoming less about technology adoption and more about operational design.
For many years, traders have focused on building a stack. Today, many large organizations already have it. The next challenge is to ensure that information flows quickly from the dashboard to campaigns, customer experiences, budget decisions, and business actions.
The full report is available here. (Registration required)
