Find Fraud Sources
You noticed that Good Rate has dropped or GIVT has increased. How do you find where the fraud is coming from?
Step 1. Assess the Scale
Open the dashboard and review the trends over the past few days. Determine when the fraud increase began — this will help narrow down your search.
Step 2. Open Statistics
Go to Statistics and select the time period where you noticed the anomaly.
Step 3. Group by Sources
Add a grouping by the dimension that corresponds to your traffic sources:
| What you want to find | Grouping |
|---|---|
| Which campaign is generating fraud | sub1 (if you pass the campaign ID) |
| Which country the fraud is coming from | country |
| Which placement is generating fraud | sub2 (if you pass the placement ID) |
Sort the table by GIVT Rate or SIVT Rate in descending order. The rows with the highest fraud percentage are your top suspects.
Step 4. Drill Down
Found a suspicious source? Add a second grouping level to understand the nature of the fraud:
- Grouping by country will show which regions the fraud is coming from
- Grouping by device type will show whether the fraud is mobile or desktop
- Grouping by proxy type will show whether proxies are being used
Step 5. Examine the Fraud Profile
Add a filter is_givt = true or is_sivt = true to see only fraudulent traffic. Review the distribution by reason — crawlers, spoofing, proxies, automation.
Step 6. Take Action
Based on your findings:
- Disable the placement in your ad platform if the fraud is coming from a specific source
- Create a rule in Adsafee for automated handling (see Handle Fraudulent Traffic)
- Save the report to monitor the situation going forward
Tip
Use AI Analyst — it can suggest what to pay attention to in your current data.
What's Next
- Handle Fraudulent Traffic — creating rules to respond to fraud
- Set Up a Challenge — a soft verification instead of blocking
- Metrics Reference — descriptions of all GIVT and SIVT metrics