Decomposing win rate into three independent failures

Decomposing win rate into three independent failures

'Our win rate is 12%' is a useless number until you decompose it. Win rate is the product of three conditional stages, and each fails for different reasons.

1. Bid rate — of auctions you were eligible for, how many did you actually bid on? Low here means targeting, budget pacing, or frequency caps are filtering you out before the auction.
2. Bid-to-win rate — of auctions you bid on, how many did you win? Low here is a price problem: your bids or your shading are below clearing.
3. Render rate — of impressions you won, how many actually rendered and were billable? Low here is technical: timeouts, viewability filters, or the publisher's ad server bumping you.

Multiply them and you get effective win rate. The diagnostic value is that each stage points to a different team and a different fix. A 12% effective win rate from 40% bid rate times 35% bid-to-win times 86% render is a completely different problem than 95% times 14% times 90%.

Why it matters: teams burn weeks raising bids when their bid rate is the bottleneck and price was never the issue. Always pull the three rates separately from log-level data before touching a single CPM.