What do you do with records that are not clean enough to import, but not obviously wrong enough to delete?
19 July 2026 at 22:21
I keep running into the same issue with CRM imports:
Some rows are clearly fine.
Some rows are clearly trash.
But the painful ones are in the middle.
Examples:
same email, different phone
same phone, different name spelling
same company, slightly different title / city / source
records that look mergeable, but not safely
The obvious stuff is easy.
What I’m trying to understand is the middle zone.
How do you actually handle that at scale before import?
Do you:
hold them back in a review bucket
manually label them
merge conservatively
import and fix later
just accept some contamination
I’m not asking for theory. I mean your actual workflow.
[link] [comments]