In the ever-evolving landscape of Paid Search advertising Broad Match has emerged as a key player, touted by both Google and Bing as the gateway to expanded reach and enhanced performance. Our data-driven exploration seeks to unravel the intricacies of these offerings and gauge the fulfillment of such promises. Here's what the data tells us about the unique paths Bing and Google are carving through their AI-integrated algorithms and what that means for the future of search advertising.

Over the last 10 years paid search has evolved from a keyword-targeting system to a match-making system in which content-to-intent alignment as determined by advanced AI models are the primary driver used for audience targeting. This has dramatically increased the importance of ad copy in Paid Search, making it more important than keywords or match types for audience targeting and performance.  In this post we will review a recent case study that proves unequivocally that ads are the new keywords.

The deprecation of ETAs are a continuation of a Google strategy to automate the paid search customer journey using NLP and Machine Learning technology.  As innovations in AI advance, search engines are leveraging these technologies to enhance user experience by understanding the relationships between words in user queries and advertiser content in order to generate the best possible customer journey for every query.