You'll recognise some of these.
Messy data builds up quietly. It starts with one import, one team member entering things a different way, one field that nobody agreed on. By the time it causes a problem it's spread through the whole CRM.
- The same contact or company appears two or three times, and your numbers are never quite right as a result.
- Fields are half-filled, filled in the wrong field, or formatted five different ways across the same dataset.
- Phone numbers, country names and job titles are inconsistent, so segmentation and automation don't work cleanly.
- Reports disagree with each other because the data underneath is off.
- Automation is firing on stale or wrong records, sending things to the wrong people or not sending at all.