Analytics

Survey: only 9% of marketing executives say they practice unified measurement “extremely well”

Developing

Lifesight sponsored the research and sells measurement software, and the report blends survey data with its own estimates.

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Photo: Ev sales 2012 2024 stacked by SpaceDracula2000, CC0, via Wikimedia Commons

In 60 seconds

  • Winterberry Group's "State of Unified Marketing Measurement," published September 30, 2026, surveyed 121 US marketing and media executives at VP level and above in July and August.
  • 83% rate cross-channel spend optimization a leading priority; 9% say they practice unified measurement extremely well.
  • 93% use platform-native reporting; 74% need outside help; 79% use AI in measurement but only 16% call it central.
  • Barriers: data quality (55%), limited integration (50%), lack of trust in results (40%) and cost of AI (37%).

Impact Layer

What changed
New survey data on how far measurement practice lags priorities.
Why it matters
It shows most teams still depend on each platform grading its own homework.
Who is affected
CMOs, marketing analysts and media teams planning measurement budgets.
Martech stack area
Analytics
Stack impact
Use the barriers list as an audit: data quality and integration come before tools.
Business impact
Moderate A small sample (121), no margin of error, sponsored by Lifesight, with its own client estimates blended into the report without clear separation.
What to watch
Whether independent surveys show the same gap.

Winterberry Group published “The State of Unified Marketing Measurement” on September 30, 2026, according to PPC Land. The survey was commissioned by Lifesight and fielded in July and August 2026 among 121 US marketing and media executives at VP level and above.

Findings reported

  • 83% rate cross-channel spend optimization a leading priority.
  • 9% say they practice unified measurement “extremely well.”
  • 93% use platform-native reporting. 74% need outside help, 64% for interpreting results. Only 18% have adequate in-house expertise.
  • 79% use AI in measurement, but only 16% call it central.
  • Main barriers: inconsistent data quality (55%), limited system integration (50%), lack of trust in results (40%) and cost of AI implementation (37%).

How to weigh it

The survey was an online one with no published margin of error. Lifesight, which sells measurement software, sponsored the work and holds the copyright, and the report includes a product chapter and blends the company’s unverified client estimates with survey data without clear separation, PPC Land notes.

Our read

The direction is credible and common: teams want cross-channel measurement and rely on each platform’s own reports. The specific percentages should be read as one sponsored survey. The practical lesson is the barrier list. If data quality and integration are the first two obstacles, buying a new tool does not fix them.

Sources

  1. PPC Land: Only 9% of brands say they excel at unified measurement, Winterberry finds (opens in a new tab) News report ·

    Source of the sample, method, figures, barriers, quotations and the sponsorship caveat.

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