Make your ad data work harder
🛍️ How to structure your PMax campaigns for better results and then discover what fuels AI shopping results

Hey there 🧠
Ready for another day of staying ahead of the competition in the Growth race?
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💡 Make Performance Max Work for Growth and Loyalty
Google’s Performance Max has evolved into more than just an ad campaign tool. With the right approach, it can drive both customer acquisition and retention, making it essential for any e-commerce business focused on long-term growth.
Here’s how to make the most of it:
1️⃣ Acquisition Just Got Smarter: Performance Max now lets you go beyond simply finding new customers. You can target high-value prospects by assigning additional weight based on lifetime value or average order size. This helps Google prioritize the right people, not just any audience.
2️⃣ Be Careful with Value Layering: While assigning extra value can improve targeting, it also affects your reporting. The system layers that value on top of actual revenue, which can inflate your ROAS and conversion numbers unless you adjust for it properly.
3️⃣ Retention Is Built In: Performance Max gives you the ability to reconnect with lapsed customers. You can define a window, such as 60 to 540 days, and upload lists of past buyers. Google then distinguishes between new and returning users to better shape your audience.
4️⃣ Focus on High-Intent Segments: For even more precision, you can refine your targeting to focus only on customers with high lifetime value, large average orders, or frequent purchases. This approach improves the quality of your reach and maximizes your budget.
5️⃣ Data Quality Still Matters Most: Google looks at conversion activity from the past 540 days to identify returning users. If your Customer Match lists are incomplete or messy, your campaign performance will suffer. The system can only perform as well as the data you give it.
The Takeaway
Performance Max is not a plug-and-play tool. But when structured intentionally and fueled by accurate data, it becomes a reliable engine for both scaling and re-engaging your customer base.
💡 Want AI to Recommend Your Brand?
In an AI-driven shopping world, discoverability isn’t just about having a good product. It’s about visibility across the digital landscape. A new AI Shopping Visibility Index reveals how brands rise in AI-powered recommendations, and why most miss the mark.
Here’s what you need to know:
1️⃣ Visibility Beats Product Quality: AI rewards ubiquity, not just performance. Brands that appear consistently across search, social, retail, and media earn algorithmic trust. Familiarity fuels ranking.
2️⃣ Mentions Move the Needle: Reviews, roundups, forums, and “best of” lists hold more power than ads. If real people are talking, AI is listening. Recommendation engines amplify what feels trusted and frequently cited.
3️⃣ Your Website Is Not Enough: Less than 25 percent of AI-sourced citations come from a brand’s own site. Third-party endorsements from respected publishers carry much more weight in shaping AI suggestions.
4️⃣ Social and Sentiment Lead: Prompts like “top rated on TikTok” or “best cruelty-free brands” triggered higher visibility than plain brand searches. Emotional and community-driven language plays better with generative search tools.
5️⃣ Platform Behavior Varies: Perplexity shows shopping results more than 90 percent of the time. ChatGPT does it far less often, and when it does, it favors DTC brands with high sentiment and strong Shopify presence.
The Takeaway
If AI is the new search engine, your brand’s visibility depends on more than just SEO. Consistent buzz across trusted channels builds familiarity, which AI uses to recommend your products. Focus on earning mentions, social proof, and media coverage. That is what keeps you in the algorithm’s spotlight.
As we prepare more "Growthful" content, we'd love to hear your thoughts on today's edition! Feel free to share this with someone who would appreciate it. 🥰