CRM Data Quality Guide
How to Clean Your CRM Data (Without Spending a Week on It)
Your CRM has thousands of contacts. Some have moved. Some are duplicated. Some are missing critical fields. Here's how to find and fix the problems systematically — not one record at a time.
The four CRM data problems nobody talks about
1. Duplicates — the silent pipeline inflator
The same person, uploaded by three different reps, in three different batches. Your pipeline looks 20% bigger than it actually is. Territory conflicts are inevitable. And when it hits the forecast, your board sees a number that doesn't exist.
According to SiriusDecisions (now Forrester), 10–25% of B2B database records contain critical errors. Duplicates are the most common.
2. Stale contacts — the credibility killer
B2B contact data decays at 25–30% annually (Forrester). That means a quarter of your CRM contacts have outdated information right now — wrong titles, wrong organisations, wrong phone numbers. Your team discovers this when they call.
3. Job changes — the missed relationship
Median job tenure is 3.9 years (Bureau of Labor Statistics) and falling. Your past customer who championed your product just started at a new organisation. That's a warm introduction waiting to happen — if you know about it.
4. Missing fields — the productivity blocker
Your team is working from incomplete records. Half your contacts are missing LinkedIn URLs, a third have no phone number, and some don't even have a verified email. Your sales team can't call a number that isn't there — and AI tools can't automate what they can't verify. Gaps in the data slow everyone down.
Why manual cleanup doesn't scale
Gartner's research shows it takes approximately 12 minutes to manually research and verify a single contact. At the UK National Living Wage (£12.21/hour, April 2025), that's about £2.44 per contact.
A CRM with 5,000 contacts would take one person over 1,000 hours of manual research. That's 6 months of full-time work — by which time the first contacts you cleaned are already going stale again.
Manual cleanup is a treadmill. You need a systematic approach that processes contacts in bulk and keeps them current over time.
The systematic approach: Score, Identify, Fix, Verify
Step 1: Score every contact
Before you can fix anything, you need to know where the problems are. A Trust Score (0–100) for every contact gives you a data quality baseline. You can see immediately which contacts have complete, reliable data and which don't.
Step 2: Identify the gaps
Scoring reveals patterns. Maybe 40% of contacts are missing LinkedIn URLs. Maybe 15% have no phone number. An AI Blockers field per contact tells you exactly what's missing — whether that's blocking your team from picking up the phone or preventing AI tools from running sequences.
Step 3: Fix in bulk
Instead of researching contacts one at a time, process them in batches. Enrich the ones that need it. Merge the duplicates. Flag the job changes. Separate the protected accounts. All in one pass.
Step 4: Verify and maintain
Data cleanup is not a one-time project. Contact data decays continuously. Set a re-enrichment cadence (every 60–90 days for active contacts) and score each new batch as it enters the CRM. Prevention costs less than correction.
How Datuma automates CRM data cleanup
Datuma runs all four steps automatically. Upload a CSV to Slack. In minutes, every contact has a Trust Score (0–100) showing whether your team can act on it, plus an AI Automation Level and AI Blockers listing exactly what's missing for both human outreach and automated sequences.
Duplicates are caught across your current batch and every previous batch — at £0.00. Protected accounts (existing customers, partners, competitors) are separated into a dedicated file — also at £0.00. Contacts who've changed jobs are flagged with their previous organisation and title.
The output is a 55-column CSV, ready to import into your CRM. At £0.04 per enrichment result, a 500-contact cleanup costs £20.
Compare that to the £2.44 per contact for manual research. The maths speaks for itself.
Score 50 contacts free and see what needs fixing
Upload a sample from your CRM. See your Trust Score distribution, duplicate rate, and a field-by-field breakdown of what's missing. It takes 5 minutes.