Understanding Traffic
This page will help you understand what the dashboard and statistics show and how to interpret the data.
Dashboard
The dashboard is the first screen after logging in. It shows the overall picture: how much traffic is coming in, what percentage is clean, and what percentage is fraud.
Widget customization
Dashboard widgets are customizable: enable edit mode to add the ones you need, remove unnecessary ones, or change the order. The configuration is saved in your browser.
Key Metrics
The most important indicators to pay attention to. For a full list of all metrics, see the Metrics Reference.
| Metric | What it indicates |
|---|---|
| Good Rate | Share of clean traffic. Your main indicator — if it drops, the share of fraud is growing |
| GIVT Rate | Share of invalid traffic: bots, spoofing, bad IPs |
| SIVT Rate | Share of sophisticated fraud: proxies, masking, mismatches |
| Tech Losses | Visits without sufficient data (user left before the tag loaded) |
Statistics
The Statistics section is a report builder. Here you can:
- Group data by various dimensions: country, device, source, sub parameters, and more
- Filter by any field: show only mobile traffic, only traffic from a specific country, only fraud
- Select metrics — choose which indicators to display in the table
- Build charts — visualize trends
Data is displayed as a sortable table. With multiple grouping levels, the table becomes a tree — you can expand each level.
Report Browser
Click on "Statistics" in the sidebar to open the Report Browser panel. It contains:
- Presets — ready-made reports for common tasks: traffic quality overview, GIVT analysis by country, challenge effectiveness, and more
- Saved reports — your own configurations that can be pinned for quick access
Tip
Instead of manually configuring filters each time, select a ready-made preset and adjust it as needed.
What to Watch For
Sudden change in Good Rate
If Good Rate drops within a day or two, a new fraud source has likely appeared. Group statistics by source or sub parameters to find it. Learn more: Find Fraud Sources.
High SIVT from a specific country
If SIVT is coming from a particular region, a fraud network may be operating there. You can create a rule to handle such traffic. Learn more: Handle Fraudulent Traffic.
High proxy traffic
Proxies and VPNs do not necessarily indicate fraud — there are legitimate users behind VPNs. However, if proxy traffic is combined with other signals (spoofing, timezone mismatch), it warrants setting up rules.
UA and Fingerprint mismatch
Adsafee compares the declared User-Agent with the actual browser fingerprint. If the browser claims to be Chrome on Windows but the fingerprint shows a headless browser on Linux, that is spoofing.
Sub Parameters
Sub1–sub6 are custom labels that you pass with each visit. Configure them in the integration to pass campaign IDs, publisher IDs, creative IDs, or other parameters.
Example: sub1 = advertising campaign ID, sub2 = publisher ID. In statistics, you can group data by sub1 to see which campaign generates the most fraud.
AI Analyst
An AI analyst is available in the statistics section — it analyzes current data and provides conclusions in natural language. It is useful when you see an anomaly but are not sure of the cause. The analysis language can be configured in the Account section.
What's next
- Metrics Reference — a full list of all metrics with descriptions
- Find Fraud Sources — step-by-step anomaly investigation
- Track Quality by Campaign — data segmentation via sub parameters