Ad Tech Briefing: Embattled, embittered and determined

"A common theme was requests for clarity on monetization timelines vs. hype cycles, with executives generally cautious in their responses, arguing that early proof-of-concept experiments show strong relevance or efficiency gains, but revenue contributions will be gradual and partner-dependent."

"AppLovin's management rebuttal was more forceful, pressing home the thesis that AI increases content supply which, in turn, increases the value of discovery and auction infrastructure."

"Zeta and DoubleVerify leaned more heavily into AI differentiation. Both emphasized that models alone are commoditized; proprietary data - identity graphs, verification datasets, commerce intelligence - are the real moat."

Ad tech companies faced intense analyst scrutiny regarding AI's impact on their business models and revenue prospects. AppLovin reported record revenues but missed e-commerce expectations while contending with negative SaaS sentiment. Analysts questioned whether generative AI lowers barriers to entry in in-game advertising and probed companies about agentic AI applications. Executives across Criteo, PubMatic, and Magnite emphasized cautious optimism, noting early proof-of-concept experiments show promise but revenue contributions will be gradual. AppLovin argued AI increases content supply, boosting discovery infrastructure value. Zeta and DoubleVerify stressed proprietary data as competitive moats over commoditized models. Connected TV emerged as a major revenue driver, reflecting programmatic streaming budget migration.

Read at Digiday