Export weekly Adjust install and fraud metrics to a sheet
Every Monday, WebRun opens Adjust, pulls last week's install volume, cost, and fraud-rejection rate by campaign, exports each campaign's numbers to a Google Sheets tracker, and posts a trend summary to Notion.
- No credit card
- Under $0.01 per run
- Cancel anytime
How do I export my weekly Adjust install and fraud metrics to a spreadsheet?
WebRun pulls install volume, cost, and fraud-rejection rate by campaign from Adjust every Monday, exports each campaign's numbers to a Google Sheets tracker, and posts a trend summary to Notion calling out any campaign with a rising fraud rate. It turns raw attribution data into a weekly record your marketing team can act on.
- Rising fraud rates get flagged weekly instead of discovered at month-end
- Campaign performance and fraud data land in one tracker automatically
- The team sees a clear trend summary instead of raw exported rows
Built for mobile marketing teams · user acquisition managers · growth teams · ad fraud analysts
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
-
WebRun signs in and gets to work
Opens
suite.adjust.comin a real browser with your saved login - no setup, no API keys. -
1
Adjust - pull install and fraud metrics
WebRun opens Adjust to pull install and fraud metrics. - Open Adjust and pull last week's install volume, cost, and fraud-rejection rate by campaign
- Compare each campaign against the prior week
- Note any campaign with a rising fraud-rejection rate
Done when Every active campaign has last week's metrics pulled.
- 2
- 3
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Does it block or reject fraudulent installs on its own?
No. WebRun only reports the fraud-rejection numbers Adjust already calculated. Adjusting fraud filters or blocking sources is left to your team.
How does it decide a campaign needs a closer look?
It compares each campaign's fraud-rejection rate to the prior week, so a campaign with a rising rate gets called out instead of buried in the full list.
What if a campaign is brand new?
A campaign with no prior week to compare against is still listed, just without a week-over-week change.
Put this on autopilot.
Turn it on in minutes - or have our team set it up for you.