"Google Ads AI-driven optimization works best with abundant data. A single entity with 10,000 impressions is better than 10 with 1,000 each - whether a campaign, ad group, keyword, or ad copy. Thus I always recommend that clients condense their campaigns (or ad groups, keywords, ad copy). But which to condense, and how, is not typically obvious. Common questions include:"
"Each ad group received relatively less traffic and conversions due to manual bidding. Fast forward to 2025, and a manual setup won't collect enough data for meaningful AI optimizations. A better option is to condense the three ad groups into one for "athletic bags." The ad copy might be less aligned to each keyword, but Google's Responsive Search Ads and keyword-level URLs will show the ad combination most likely to convert."
AI-driven Google Ads optimization requires abundant aggregated data; a single entity with 10,000 impressions outperforms ten entities with 1,000 each. Advertisers should condense campaigns, ad groups, keywords, or ad copy into larger thematic groups to provide sufficient signal for smart bidding and machine learning. There is no fixed threshold for consolidation; decisions rely on experience, intuition, and keyword themes. Historically, strict keyword-to-ad-copy alignment worked, but manual setups now dilute data across many low-traffic ad groups. Grouping similar keywords (for example, gym, hiking, and running bags into 'athletic bags') enables Responsive Search Ads and keyword-level URLs to surface higher-converting combinations.
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