CRM Anonymizer
Drop in a CSV export, get back the same file with the people stripped out and the companies replaced by stable tokens - so the analysis still works and nobody is identifiable. It runs in this tab. Nothing is uploaded.
Three actions, one per column
Keep
The column comes through untouched. This is the default for anything not recognised, because dropping an unrecognised column would quietly destroy the analysis fields you are anonymising the file in order to share.
Tokenise
The value is replaced by a stable token - the same company becomes the same token on every row, so counts, groupings and joins still work. The token is a one-way sum with no stored mapping; nothing here can turn it back.
Remove
The column is dropped from the output entirely. This is the default for names, emails, phone numbers and addresses.
The honest limits
It classifies by column name, not by reading your data. A column called “Custom Field 12” that happens to hold email addresses will be kept, because the alternative is a tool that reads every cell of a file it has just told you it will not analyse. Check the column list before you download - that is what it is there for.
It does not read free text. A notes column can contain a name, and this tool will not find it. If your export has free-text notes, remove that column or read it yourself.
Tokens are stable, which is the point and also a risk. An account with one obvious characteristic - the only one in its industry at its size - can still be recognisable to someone who knows the market. Anonymisation is not a binary.
It holds the whole file in memory. Ten megabytes is the practical ceiling before the tab suffers. Split a larger export and run it twice.
You should be able to check us
The GTM Audit needs read-only access to your CRM. That is a real ask, and “trust us” is not an answer to it. This tool is here so you can strip a file before you send it to anybody - including us - and see exactly what was removed before you do.