Three Prompts for Google Ads. They Bridge Audience Gaps. Prompting Is Not Optional Anymore.
Practical Ecommerce outlines how ChatGPT and Claude can improve Google Ads management, specifically addressing the gap between ideal customer profiles and Google's available in-market audiences. The article cites a concrete example: targeting trail runners when Google's closest match is 'running apparel.' Matthew Umbro describes how AI prompts can improve ad messaging and user experience, with advertisers iterating on combinations of AI output depending on results.
The mental model here is semantic translation. Your ideal customer exists as a concept in your head, but advertising platforms organize people into predefined buckets. AI bridges that gap by mapping your specific persona to the platform's available categories and generating messaging that compensates for imperfect targeting. The mechanism matters because Google's audience taxonomy will never perfectly match your mental model of your customer.
Matthew Umbro at Practical Ecommerce authored the guide, demonstrating how advertisers using ChatGPT and Claude can address the mismatch between ideal customer profiles like trail runners and Google's actual in-market audience categories like running apparel.
- Write down your ideal customer in one sentence. Be specific. 'Trail runners who compete in ultramarathons' not 'athletes.'
- Paste that into ChatGPT with this prompt: 'My ideal customer is [your description]. Google Ads offers in-market audiences. What are the five closest Google in-market audience categories I should target, and what ad copy angles would bridge the gap between my customer and each category?'
- Review the suggested audience categories in your actual Google Ads account under the audience targeting section. Cross-reference the AI's ad copy suggestions against your current ads. You will likely find at least one angle you had not considered.