Revenue Reports

Detailed revenue analysis in Dashboard → Monetization.

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Accessing

1. Dashboard → Monetization
2. Pick the tab for the breakdown you want (Performance, Traffic, Supply, or Demand)
3. Select a time range; on the Supply and Traffic tabs choose a Breakout dimension; apply any filters

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Where each breakdown lives

The Monetization dashboard doesn't have a single "break down by anything" menu — instead you pick a tab. On the Supply and Traffic tabs you then choose a Breakout dimension; the Demand and Performance tabs are organized differently:

To break revenue down by…	Use this tab	Breakout dimension
Ad slot / layout / page / ad unit	Supply	Ad Slots · Layouts · Pages · Ad Units
Demand partner	Demand	Organized by demand partner
Device / browser	Traffic	Breakout: Device · Browser · App Version
Experiment	Performance	Filter by experiment
Over time	any tab	the trend chart is already time-series

Breaking down by ad size or by country isn't offered as a Breakout dimension on these dashboards today.

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Key revenue metrics

Metric	Formula	Use
Revenue	Sum of earnings	Total earnings
eCPM	Revenue ÷ Impressions × 1000	Effective revenue per 1,000 impressions (the dashboard's price metric)
RPM	Revenue ÷ Pageviews × 1000	Revenue per page
Fill Rate	Impressions ÷ Auctions	Share of auctions that returned an ad
Auctions	Count of auctions run	Demand opportunities — the dashboard measures auctions, not "requests"

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Common analyses

Revenue by slot

Find which placements drive revenue.

1. Supply tab → Breakout: Ad Slots
2. In the performance table, sort by Revenue (descending)
3. With many slots, use the Cardinality control (Top N) to focus on the leaders
4. Act on: focus optimization on the top-earning slots

Revenue by demand partner

Understand each partner's contribution.

1. Demand tab
2. Review Revenue, Win Rate, Response Rate, Timeout Rate, eCPM
3. Act on: flag low-performers for review or removal

Revenue by device

Compare device performance.

1. Traffic tab → Breakout: Device
2. Review Revenue, Session RPM, Impressions
3. Act on: optimize the underperforming device

Revenue trend

Track performance over time.

1. Any tab — the trend chart is already time-series over your date range
2. Adjust the date range and time grain (day / week / month)
3. Act on: spot seasonality, investigate spikes and dips

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AI Assistant for revenue

Instead of building a breakdown by hand, ask — "Show revenue by ad slot", "Which bidder pays the most?", "Why was Tuesday's revenue low?" See the AI Assistant guide for the full range.

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Optimization signals

Low revenue

Finding	Possible action
Low CPM on a slot	Test different sizes
Low fill rate	Check floors, add bidders
One bidder dominates	Diversify demand
Mobile underperforms	Review mobile layout, lazy loading, timeout

High performers to expand

Finding	Possible action
Slot with high CPM	Add similar placements elsewhere
Top bidder	Ensure they're wired to every slot
Size with strong demand	Use it in more slots

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Filtering and segmenting

Each tab offers filters to narrow the view to a specific segment: the Performance, Supply, and Demand tabs filter by Device Type and Experiment; the Traffic tab filters by Country. Combine a filter with a Breakout to answer questions like "revenue by ad slot, mobile only."

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Exporting

• Download CSV from any performance table for ad-hoc analysis
• PNG or PDF page export for sharing a snapshot of the current view

There's no Excel/.xlsx export.

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Troubleshooting

Revenue showing $0

Check	Fix
Time range covers data?	Widen the range
Filters applied?	Remove restrictive filters
Recent day?	Allow up to an hour for fresh data

Revenue mismatch with GAM

Cause	Explanation
Different time zones	Align time zones between the two systems
Data lag	GAM-reported revenue has a 24–48 hour lag
Different attribution	Prebid-won vs. GAM-paid counting differ; both are valid, just not identical