Analytics
How to read the Analytics Dashboard and Log List: every metric, chart, and filter, and how to spot problems.
The Analytics module has two pages: Analytics Dashboard and Log List. Both are visible to admin accounts only.
Analytics Dashboard
“Analytics → Analytics Dashboard”. Aggregates traffic and blocking across all ads for a quick health check.
Data range
Pick the period at the top: Today / Last 3 days / Last 7 days / Last 15 days / Yesterday / Previous 3 days / Previous 7 days / Previous 15 days. All metrics and charts follow the selection. “Refresh” updates manually.
KPI cards
| Metric | Meaning | How to read it |
|---|---|---|
| Total clicks | Total clicks in the period | Does the volume match the ad spend? |
| CTR | Click-through rate = clicks / impressions | Low means the creative or targeting may need work |
| Block rate | Share of traffic that was blocked | Too high means rules are too strict or traffic is poor |
| Suspicious share | Share of traffic flagged proxy/VPN/datacenter etc. | Too high means poor traffic quality — add rules |
The page flags anomalies, e.g. “Block rate unusually high, check traffic quality” or “CTR is low, consider optimizing creatives”.
Charts
- Hourly click trend: click distribution over 24 hours — spot peaks, valleys, and spikes.
- Conversion funnel (HTML mode): page view → ad display → ad click, with load rate and overall conversion rate. This funnel covers template (HTML) mode data only.
- Traffic quality distribution: normal / proxy / anonymous / VPN / datacenter / Tor / CDN / crawler / blocked — the traffic mix at a glance.
- Geo distribution TOP10: clicks and block rate by country. Countries with very high block rates may carry malicious traffic — monitor them.
- Device distribution: share by device type (desktop/mobile/tablet, …).
- Platform comparison: clicks and CTR per ad platform — see which performs better.
- Block reason analysis TOP5: top reasons among blocked traffic — helps decide whether to adjust rules.
Log List
“Analytics → Log List”. Every single visit, with its full decision trail. Fields, filtering, and sample analysis are in Access logs and data dashboard.
Common workflows:
- Filter: narrow by time, ad, platform, page, status, etc.;
- Check block reasons: each log shows a three-part reason (e.g. “Country · Blocklist · US”) so you know exactly what blocked it;
- Re-test samples: pick high-frequency blocked traits from the sample list and import them into the Pre-launch Rule Preview to verify rules;
- Judge trends: combine the dashboard’s block rate with log details to tell rule false-positives apart from poor traffic.
Related: rule configuration in Advertising decides blocking behavior; Ad rules basics explains how each rule works.