Unusual rows, with why
Usage spikes and shared accounts
Which accounts use the product in an unusual way?
Unusual rows, with whyIllustration with sample data
- #5310Unusual▲ ×12
- #5317
- #5324Unusual▲ ×6
- #5331
- #5338
The problem
One login used from six countries, or an export loop running all night, costs you money and nobody notices.
What you get
Check these accounts: shared logins, scraping or a broken integration.
What you need
Daily usage per account: logins, devices, countries, API calls. No labels needed.
How it works
- 01
Open it with sample data, or pick one of your tables.
- 02
The settings are already filled in; change them if you like.
- 03
Run it, read the result in plain words, and use it on new rows.
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