Ad Revenue Analytics
Near real-time advertising performance and revenue insights
Ad Revenue Analytics provides near real-time visibility into your advertising performance. Monitor traffic, impressions, viewability, and ad loading speed without waiting for day-long reporting delays from your ad server.
The overview table shows 24-hour metrics for each domain:
| Metric | Description |
|---|
| UV | Unique Visitors |
| PV | Page Views |
| IMP | Total Ad Impressions |
| Viewability | Percentage of impressions that were viewable |
| IMP/PV | Average impressions per page view |
| IMP/Session | Average impressions per user session |
| PV/Session | Average page views per user session |
Click on any domain to access the full analytics dashboard.
- Device — All, Mobile, or Desktop.
- Time range — 3h, 24h, 60h, 1 week, 1 month, 90 days, or 1 year.
The detail view displays summary cards for 24-hour metrics:
- Users — Total unique visitors
- Page Views — Total page views
- PV per Session — Engagement depth
- Total Impressions — Ad impression count
- IMP per Session — Ad density per visit
- IMP per PV — Ad density per page
- Viewability — Percentage of viewable impressions
- GPT Loaded — Time for Google Publisher Tag to load (seconds)
- Auction Start — Time until the ad auction begins (seconds)
- Auction End — Time until the ad auction completes (seconds)
- Time to Render — Time for ads to render on page (milliseconds)
The detail view includes trend charts for:
- Users — Visitor trends over time (stacked bar)
- Ads Speed — Ad loading performance over time (stacked)
- IMP Per Session — Impression density trends
- IMP Per PV — Page-level ad density trends
- PV Per Session — Engagement depth trends
- Revenue monitoring — Spot revenue drops in near real-time instead of waiting for next-day reports.
- Ad speed optimization — Track GPT load time, auction timing, and render speed to improve ad performance.
- Viewability tracking — Ensure your ad placements meet advertiser viewability requirements.
- Session analysis — Understand the relationship between user engagement and ad performance.