The new update to Google Merchant Center changed everything around. If you're like me and like to use a spreadsheet where possible, using supplemental feeds for product info testing is handy. But in the new update, it's nowhere to be found. After a bit of digging, and no help from Google documentation I found it. Here's how to activate the supplemental feature. 1. Go to settings in your GMC and then to add-ons. 2. Find "Advanced data source management" and add it. 3. Go to "Data Sources" 4. Under data sources "Provided By You" you should see "Supplemental Sources". If it's not there right away do a refresh. Depending on your changes it might take a while to see any data related to the changes after you add your new supplemental feed. But I am curious if others who had feeds set up already - was this already active for you? It wasn't for me.

Just wrapped up an excellent call with @KLee Terrazas over in our PPC Copilot group, who's doing incredible work with personal injury law firms! She shared a perfect case study of fixing a "poison" account with bad data and navigating the tricky transition to quality-focused campaigns. 🧩 The Challenge: Kaylee took over an account in January that was previously running on broad match with 800-1200 calls per month... but 90% were irrelevant! Despite "good-looking" metrics, the quality was abysmal. 💰 The Results: After restructuring the campaigns: - Call volume intentionally dropped from 800 → 150 monthly - Qualified leads increased dramatically - Sign-ups jumped from 4 cases in January to 10 cases in March! Key Action Items & Takeaways: 1️⃣ Budget Reallocation Strategy - Spanish campaigns were significantly outperforming English campaigns in ROI - Recommended gradually shifting budget from English to Spanish campaigns: Start by moving 50% of budget from underperforming English ($391 → $100) Monitor for 3-5 days before shifting remaining budget Split budget between two Spanish campaigns (DFW & El Paso) with 60/40 or 70/30 distribution 2️⃣ Experiment Testing Best Practices - Reviewed when to use Google's experiment feature vs. simple A/B testing - For landing page tests: Duplicate existing ads with different final URLs - For major campaign changes: Use formal experiments with 50/50 traffic split - Recommended cookie-based testing for faster statistical significance 3️⃣ Ad Copy Pinning Guidelines - Generally avoid pinning RSA headlines/descriptions - Exception: When running time-sensitive promotions that need prominent placement - Avoid "fluff" headlines just to fill all 15 slots (quality > quantity) 4️⃣ Client Communication Excellence - Create detailed tracking spreadsheets with qualification data - Implement intake form changes to capture lead quality metrics - Conduct weekly review calls with clients - Set proper expectations before making major account changes

Hey Guys, I wanted to share an amazing case study from one of our students in the Copilot program. One of our students started testing the feeder strategy recently and has been using the Weekly Q&A thread for guidance. And the results 🚀: +111% in conversions +102% in conversion value! Take a look at his results for yourself! p.s. You can check out Copilot here