Here's Why Google Fell Despite The Q2 2024 Earnings Outperformance

LivyInvestment
07-24

Summary

  • Google continues to be well-positioned in the AI play, with robust Q2 results in its core Search advertising business and persistent momentum in Cloud monetization.
  • The latest earnings outperformance continues to assuage previous concerns about AI-driven cannibalization of Google's search dominance, and reinforces its reputation in actively monetizing the nascent technology.
  • However, the stock's post-earnings response continues to highlight the increasing disparity between Google's fundamental outlook and its valuation premium at current levels.

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Google (NASDAQ:GOOG/NASDAQ:GOOGL) has been one of the biggest gainers this year, alongside digital advertising peer Meta Platforms (META). Previous concerns over potential cannibalization of Google’s online search dominance with the advent of generative AI tools likeprevious expectationsSearch Generative Experience

AI is Still in the Driver’s Seat

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  • Smart Bidding with AI: In Smart Bidding, advertisers can customize their respective performance targets, goals, audience and other attributes, and leave the rest to Google AI. Google AI works with advertisers’ customized information and automatically engages in ad auctions to bid for placements that will optimize conversion. The feature aims to improve key performance metrics like conversion and return on ad spend (“ROAS”) for advertisers, while also maintaining Google advertising’s technology advantage at scale.
  • Broad Match: The advertising feature relies on its foundation models to optimize ads served based on end-users’ searches. For instance, relevant ads can be served based on a related keyword in the end user’s query, even if the keyword itself was not used. The tool aims at serving ads to a wider, yet more relevant audience base, and help advertisers optimize engagement and conversion, and, inadvertently, ROAS. This is consistent with the average 25% gain in conversions observed at advertisers who have adopted Google’s core Performance Max format alongside Broad Match and Smart bidding in their search ad campaigns.
  • Gemini for Performance Max: As discussed in a previous coverage, Performance Max (“PMax”) is Google’s primary AI-enabled advertising tool. It simplifies the ad campaign creation process and optimizes ad placements by considering advertisers key performance targets (e.g. ROAS, cost-per-ad, etc.) and desired attributes (e.g. location, target audience, etc.) by leveraging AI/ML capabilities. And further integration of the Gemini LLM into PMax for all U.S. advertisers this year, with gradual global availability, has been yielding favourable results. With Gemini capabilities embedded into PMax, advertisers can now automate the generation of “text and image assets” critical to ad campaigns with greater variety and quality. For instance, Gemini for PMax can enable automatically created assets (“ACA”), which leverages advertisers’ existing campaign assets to generate additional assets to better reach and performance. Google has reported that ACA has driven on average 5% better conversion rates for advertisers, while maintaining similar cost metrics as native search and PMax campaigns. It also enables greater efficiency gains for advertisers by reducing the amount of time and labour spent on campaign creation.

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Final Thoughts

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