The news: Google Ads is ending manual language targeting, taking over a significant element of campaign management.

• In lieu of manual targeting, Google’s AI will detect user language automatically using signals such as language settings and historic search activity.
• Non-search campaigns, like video and shopping, will continue supporting manual language targeting.

The benefits: Removing manual targeting could streamline campaigns for smaller brands that may not have the resources to set up and manage language settings manually for ads with broad audiences. It also lets Google’s systems respond dynamically to multilingual users whose preferences vary across devices, and even between queries.

Yes, but: The loss of manual targeting could reduce advertiser control in more complex bilingual markets, such as Quebec, Los Angeles, or Miami. It may also misunderstand regional dialects or cultural nuances.

• In these regions, relying solely on automated signals may lead to mismatches between ad language and user expectations, risking wasted budget or a poor user experience.
• This makes it harder for advertisers to ensure language alignment, especially when messaging needs to be precise or culturally distinct.

Newer Google Users with limited search history or those that don’t frequently use Google Search could experience less accurate language detection and poorer ad delivery.

Zooming out: However, a fully automated future for advertisers may still be a ways off. Google is also introducing more granular controls across other aspects of targeting—including devices, negative keywords, and age groups—suggesting an understanding that taking all control could alienate marketers and make campaign maintenance overly complex.

• Advertisers can now specify which devices their Performance Max campaigns appear on, allowing for more strategic platform-based optimization.
• Campaign-level negative keywords can be used to filter out irrelevant or low-intent search queries, improving ad relevance and efficiency.
• Excluding certain age ranges can help meet legal requirements, ensure brand alignment, and sharpen audience targeting, specifically for sectors with age-sensitive products.

Our take: Brands should consider auditing current campaigns to identify where automated language detection might create gaps and establish safeguards, such as breaking out campaigns by region or market and including clear, native-language text in headlines and descriptions to signal intended language to both users and Google’s systems.

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