Making ads more interesting
At Google, we believe that ads are a valuable source of information — one that can connect people to the advertisers offering products, services and ideas that interest them. By making ads more relevant, and improving the connection between advertisers and our users …
Context & Ripple Effects
This 2009 post sits inside a long Google arc of treating ad relevance as a product problem rather than just an auction. It followed experiments with richer ads on Search pages in 2007 and the arrival of ads in Google News search results weeks earlier — evidence Google was pushing commercial content beyond classic text-only search listings. The framing also echoes its earlier exploration of the future of TV ads, where relevance was pitched as the bridge between old media inventory and Google's targeting.
First-order effects
- Users see ads more closely matched to their queries and interests, while advertisers get better connections to interested customers — raising expected click-through and campaign performance on Google's properties.
- Advertisers who align creative and landing pages with user intent gain ground immediately, since Google's ranking increasingly rewards relevance over raw bid size.
Second-order effects
- Competing ad platforms face pressure to invest in their own relevance and targeting quality, as advertiser budgets shift toward systems that demonstrably convert intent into clicks.
- Higher relevance supports Google's pricing power: better-matched ads justify premium placements and encourage advertisers to expand spend across newer surfaces like news and, eventually, display.
Third-order effects
- The pattern points toward ads built on ever-deeper inference from user data — a trajectory that runs from this relevance push through machine-learning formats and generative AI ad creation, and that eventually forces platforms to give users visibility and control, as Google's own Ad Settings and 'Why this ad?' tools later did.
- If relevance remains the primary sorting mechanism, industry structure consolidates around whoever holds the richest intent signals — entrenching search giants' ad dominance and drawing regulatory scrutiny of how much personal data powers that matching.
The trend: Ad platforms are converging on relevance-as-product — using progressively smarter inference over user context to decide which commercial message each person sees.