Google has unveiled a new prediction model aimed at ensuring that users land on more relevant and easy-to-navigate pages after clicking ads.
This update emerges from a persistent issue where users click on ads only to find themselves on pages that don’t match their expectations, causing frustration and leading to a poor browsing experience.
The problem is exemplified by instances like searching for a login page but landing on a promotional page with no direct route to the intended destination.
This not only wastes users’ time but also diminishes the effectiveness of ads for advertisers, according to Google’s Vice President of Engineering for Search Shashi Thakur.
The prediction model tackles this by refining Google’s ads quality systems to better predict whether an ad’s landing page is likely to meet user expectations in terms of relevance and navigability.
Google’s move aligns with its broader enterprise strategy evidenced in its latest tech rollouts, where it aims to maintain momentum in its technology offerings amid competitive pressure, particularly from AI upstarts like Perplexity.
The search giant on Wednesday launched the Gemini 2.0 Flash model for wider use in production apps.