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Programmatic

Bid landscape

A bid landscape is an estimate of how many impressions a buyer could win, and at what cost, at different bid prices for a given audience or inventory.

The short answer, from the AdTech Sumo glossary

A bid landscape is a price-versus-volume curve. It answers questions like "If I bid US$2 CPM, how many impressions will I win? What about US$3 or US$4?" It is built from historical auction data: clearing prices, win rates and, where SSPs share it, minimum bid-to-win information.

DSPs use bid landscapes to power bid shading, forecasting and budget planning, and search platforms offer similar "bid simulators" for keywords. Publishers use a sell-side version to set floors: how much revenue would be lost or gained by raising the floor for a segment.

Landscapes are estimates, not guarantees. Auctions change constantly with seasonality (Q4 prices jump), competitors' budgets, new supply and algorithm changes. Inflated or fraudulent supply can also distort them: a flood of cheap bot inventory makes a low price look like it buys lots of impressions.

Think of it like this

A bid landscape is like a chart showing how many concert tickets you could get at each price on a resale site before you commit.

An example

A DSP forecast shows: US$1.50 CPM wins 2 million impressions a week, US$2.50 wins 5 million, US$4.00 wins 6.5 million. The buyer picks US$2.50 as the best value point.

Related terms