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May 14, 2026 · 5 min read

We Tested an Intent Data Vendor's Accuracy Against Our Own CRM

An intent data vendor claimed to identify accounts actively researching our client's category. We checked their flagged accounts against what the CRM already knew. The overlap was smaller than the pitch implied.

Case StudyABM

An intent data vendor pitched a client on identifying accounts showing 'surging research intent' in their category, based on third-party content consumption signals. Instead of buying it on faith, we ran a validation test first: pulled the vendor's list of 150 flagged high-intent accounts for one month and cross-checked it against our own CRM activity for accounts we already knew were actively engaged — demo requests, pricing page visits, sales conversations.

The overlap was smaller than expected

Of the accounts we independently knew were actively engaged that month, only about 34% showed up on the vendor's high-intent list at all. Of the vendor's full high-intent list, only around 12% had any corresponding first-party engagement signal in our own data. Some of that gap is explainable — intent data is supposed to catch accounts before they show first-party signals, that's the whole pitch — but a 12% hit rate is a weak foundation for the volume of outbound the sales team was being asked to run against that list.

An intent data vendor's pitch deck shows you their best case studies, not their actual hit rate against your specific CRM, so go measure it yourself before you trust it.

What we did with the result

  • Kept the vendor, but changed how sales used the list — as a secondary enrichment signal for accounts already flagged by other means, not a primary outbound trigger.
  • Asked the vendor directly for their methodology on signal sourcing, which clarified some of the gap but not all of it.
  • Set up a recurring quarterly re-validation against CRM data instead of trusting the initial pitch numbers indefinitely.
  • Used the validation result as leverage in the renewal conversation to negotiate pricing down given the measured accuracy.

None of this means intent data is worthless. It means a vendor's accuracy claim is a starting hypothesis, not a fact, and the only way to know what you're actually paying for is to check it against data you already trust.