How can I optimize my ad stack with Bidder Analytics ?

🛠️ How to Optimize Your Revenue with Bidder Analytics

1) Avoid "Wasted" Calls to Protect UX

If a bidder has high Requests but very low Gross RPM, they are making your site work hard for very little financial return.

The Action: High requests with low return can slow down page loading. Consider running an A/B test with reduced exposure for these bidders.

2) Fix Latency and Timeouts

A high Bid Time or Timeout Rate means the bidder is too slow to compete effectively.

The Action: Check if the bidder is operating in Client-to-Server (C2S) mode. Switching certain slow bidders to Server-to-Server (S2S) can improve site speed without losing their demand.

3) Bridge the "Potential Revenue" Gap

Compare Potential Revenue vs. Gross Revenue. If the gap is large, the bidder is offering high prices but losing to other partners.

The Action: Investigate if your price floors are too aggressive for that specific partner, or if their win rate is being impacted by technical errors.

4) Balance Efficiency vs. Scale

A high Gross RPM doesn't always mean high total revenue—it depends on volume.

High RPM + Low Revenue: This bidder is very efficient but only buys a small portion of your traffic. Try expanding their access to more ad slots or countries.

Low RPM + High Revenue: This bidder provides great scale but at a lower value. Review your floors to see if you can push them to bid higher.

🔍 Customizing Your View

Use the filters at the top of your dashboard to see how performance changes based on the user's context:

Device Category: Are certain bidders more competitive on Mobile vs. Desktop?

Country: See which partners are strongest in your primary geographic markets.

Ad Slot: Identify which specific placements on your site attract the highest bids from each SSP.

To learn more about Bidder Analytics, click here.