Validity finds only 21% of marketers call their CRM data ready for AI
Validity released “The State of CRM Data Management in 2026” on August 25, 2026. Only 21% of marketers say their CRM data is very well prepared to support AI. Two out of three organizations gave AI agents more marketing decisions in the past year. The report is based on 500 marketing professionals.
What the State of CRM Data Management in 2026 report found
The report shows a gap between AI adoption and confidence in the data feeding it. Senior leaders sit on the wrong side of that gap. Nearly 78% of C-suite respondents and 92% of SVP and VP respondents acted on an AI recommendation they later suspected was wrong. Bad underlying data was the reason. The figure for individual contributors is 41%.
Pressure explains part of it. Nearly 60% of C-suite respondents and 52% of SVP and VP respondents feel pressure to adopt AI tools now. They say that holds even when they know their data is not ready. Leaders also report a reporting problem. 67% of C-suite respondents admit campaign data is at times adjusted to make results look better to leadership. Across all respondents the figure is 38%.
The costs are measurable. 62% of organizations say poor CRM data quality cost them revenue directly. Poor data contributed to compliance exposure at 63% of organizations and to delayed or scrapped campaigns at 67%. Nearly a third of teams spend six or more hours a week fixing and reconciling data.
Governance has not kept pace. Only 41% of organizations have a dedicated data governance team or owner for regulatory and privacy risk. Asked what would most raise their confidence in CRM data, 39% of marketers chose continuous automated monitoring that catches problems in real time. That rose to 47% among C-suite respondents. Consolidating onto one unified platform drew 23%. Adding third-party validation or enrichment drew 19%.
Who published the CRM data report and how the survey was run
Validity, a Boston company that sells email and CRM data quality software, published the report on August 25, 2026 and distributed it by press release. CustomerThink carried the release on August 27. The survey covers 500 B2B and B2C marketing professionals across the United States, United Kingdom, Brazil, Australia and New Zealand. The sample mixes B2B and B2C, so B2B readers should treat the figures as directional. Founder and CEO Mark Briggs is quoted in the release. Validity also sells the category of software the report recommends, which is worth holding in mind while reading it. The full report is available from Validity.
How CRM data quality connects to the agentic AI push in B2B
This report lands on top of a stack problem the industry already documented. The CMO Council’s 2026 audit found only 1 in 4 marketing leaders call their martech stack highly advanced. In the same audit, 71% rate their use of first-party customer data as ineffective or underdeveloped. Vendors are shipping agents into that environment anyway. Adobe made CX Enterprise Coworker generally available in June, an agent layer that assumes clean, connected data underneath it.
Buyers are already checking the output. TrustRadius found 94% of B2B buyers who use AI fact-check its answers at least some of the time. Your buyers verify what AI tells them. Inside your own company, this report suggests that check often gets skipped.
Talking Shift: the people furthest from the data are making the most calls
The seniority split is the finding worth stopping on. 92% of SVPs and VPs and 78% of the C-suite have acted on an AI recommendation they later doubted. Only 41% of individual contributors say the same. The people who touch records daily catch the errors. Those errors get past the people who approve the budgets.
Start Some Shift’s view: the further you sit from the data, the more likely you are to act on it. You are also less likely to catch it when it breaks. Autonomous agents remove the pause where a person might have noticed something looked off. So the fix here is organizational. Name one person accountable for CRM data quality. Give them the authority to hold a launch. Have them present a reconciliation to the leadership team every quarter.
What B2B marketers should do about CRM data quality and AI
This report gives B2B teams a short list of checks to run before the next agent goes live.
- Name one accountable owner for CRM data quality, since only 41% of organizations have one today.
- Audit which marketing decisions your agents already make without human review, and write that list down.
- Add a human approval gate on any agent action that spends budget or touches a customer.
- Measure how many hours your team loses each week to data cleanup, then price that against monitoring tools.
- Ask your leadership team directly whether campaign numbers have ever been adjusted upward, given 67% of C-suite respondents say it happens.
- Price continuous monitoring tools first, since marketers rank them as the biggest lift to data confidence.
- Reconcile your pipeline reporting against source records once a quarter, and document everything that did not match.
What to watch next on CRM data readiness
Watch whether Validity repeats this survey and splits the B2B results from B2C, which would make the findings far more usable. Watch whether data governance ownership climbs above 41% as agent adoption grows. Also watch for the first vendor to publish audited error rates for agent decisions. Every figure available today is a survey self-report.
