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.

MotiveMetrics Chief Scientist, Kyle Thomas, joined the AI Chat Podcast to talk about the future of AI in Marketing.  "The human can come up with a creative campaign and AI has the ability to stitch together image generation along with language generation and help bring that vision to life. The trend is not some earth-shattering difference or some new thing we have not thought about. The puzzle pieces are out there and the race is on to make them usable."

MotiveMetrics' Chief Science Officer, Kyle Thomas, joined the AI4 panel on AI Driven Customer Acquisition, Aug 8, 2023 at MGM in Las Vegas. The full panel discussion is available HERE, but our favorite highlights are shown below.

Kyle opened the panel by sharing how the company started during his PhD research in Experimental Psychology at Harvard University. Initially, MotiveMetrics analyzed text from Social Media to develop customer profiles, understand consumer motivations and inform marketing communications. Today, in Paid Search advertising MotiveMetrics' focus is to conquer the "last mile problem" presented by Generative AI systems.

CIO Review, the Navigator for Enterprise Solutions, recognized MotiveMetrics as the "Most Promising AI Solution Provider of 2022" in recognition of its software innovations leveraging AI for Search Intent Based Content Creation.  In fact, MotiveMetrics has been leveraging AI for understanding consumer behavior and developing motivational messaging tailored to target audiences since it was founded in 2015, long before ChatGPT became the rage in Q4 2022.  

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.