/ana/ - Analytics

if you are still manually matching utm parameters to downstream conversions in a spreadsheet, you are wasting time. instead of relying on eyes to catch discrepancies, build a small validation script to flag mismatches btwn your source data and the final database entry. i started using a simple python check to compare incoming session identifiers against the transaction logs.
validation logic
you can use this snippet to identify rows where the campaign tag is missing from the conversion event:
dfdf'utm_campaign'. isnull() true
this makes it much easier to find broken tracking links b4 they ruin your monthly reports. it helps keep the integrity of your roi calculations by ensuring every dollar spent is actually being attributed to a specific source. it also prevents you from reporting inflated numbers caused by duplicate sessions. stop trusting the dashboard at face value and start auditing your raw event streams regularly.