Your CRM data is costing you more than you think — the 2026 numbers on dirty data

Ask most sales leaders whether their CRM data is clean and they’ll say mostly. The numbers disagree: 91% of CRM data is incomplete, stale, or duplicated in some way, and 76% of teams say less than half of their organisation’s CRM data is fully accurate and complete.

That’s not an abstract data-hygiene problem. 37% of CRM users report losing revenue directly because of poor data quality, and the average business loses around 16 sales opportunities a quarter to records that were wrong, duplicated, or simply never followed up because nobody trusted them.

Where the time actually goes

Sales reps report spending 27.3% of their working time dealing with inaccurate data — more than thirteen full working weeks a year, per rep, doing the job the CRM was supposed to do automatically. Multiply that across a team and the real cost isn’t the CRM licence. It’s the labour spent working around it.

It’s also becoming an AI problem. 54% of organisations are already deploying AI tools against their CRM data, but 45% of that data isn’t actually prepared for it — and data quality has jumped from the fifth-ranked AI obstacle to the first in the space of a year, cited by 44% of teams in 2026 versus 19% the year before.

What a CRM that fits your process actually fixes

The fix is rarely a bigger CRM. It’s one that mirrors how the sales team actually sells — pipeline stages that match reality, de-duplication run as an ongoing process rather than a one-time clean-up, and integrations that keep customer data flowing in from support and billing instead of being re-typed.

Get that foundation right and the reporting leadership actually trusts — and any AI layered on top of it later — both stop fighting the data and start using it.