Sponsored Search / Ad Auction Game

Compete for ranked advertising slots using bids, quality scores, click-through rates, and auction pricing rules.

Ad auction

Your position
Expected clicks0
Payment/click0
Your utility0
Platform revenue0

How this teaches game theory

Sponsored-search auctions are multi-slot allocation mechanisms. Advertisers care about position, expected clicks, conversion value, and price. The platform must rank advertisers while creating incentives that balance revenue and efficient allocation.

Complete scenario, mode, level, and pricing guide

Search Ads

Higher positions receive larger click-through rates. Quality and bid jointly determine ranking.

Social Media Ads

Engagement quality matters strongly, so a lower bid can outrank a weak high bidder.

Sponsored Products

Marketplace ads compete for product visibility where relevance influences ranking.

Modes

Human Advertiser vs Bots

You choose one bid while competing against fixed bot advertisers.

Human + Bid Advisor

The simulator reports whether another bid would increase your expected utility.

Human Controls Market

Your slider also shifts competing bids, making strategic interactions easier to inspect.

Computer Simulation

All bidders adapt automatically to estimated value and position incentives.

Levels

Level 1 — First-Price Ranking

Winners pay their own bid per click. Bid shading becomes immediately important.

Level 2 — GSP Pricing

Ranking uses bid × quality, while payment is based on the next competitor's rank score.

Level 3 — Strategic Bidding

Bots adjust bids and the human can search for a best response under competitive pressure.

Key idea: the highest bid does not always win the best slot when quality matters. Payment rules change bidding incentives.