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2 contributions to AI Pipeline Lab
Creative Testing + Scaling Question (Need Clarity)
Just launched my ads today. I understand results take time and that losses happen before the upside, so I’m not expecting instant ROI. But I want to make sure I’m testing creatives the right way from the start. Right now I’m thinking: - Use my TOF campaign as the testing ground. - Create new ad sets and load different creatives into them Is that the correct approach for testing? Or should I structure it differently? Also, how do I clearly identify a winning creative? What metrics or signals should I be looking for early on to know something is worth scaling? And once I find winners: - Do I create a new campaign, run 1 ad set, stack all winning creatives inside, and switch to CBO for scaling Or is there a better structure to scale efficiently? Would appreciate any guidance on how you’d approach testing → identifying winners → scaling properly.
Creative Testing + Scaling Question (Need Clarity)
0 likes • Apr 16
This is my copy for all my ads: If Your Listing Expired… DO NOT Relist Yet ❌ Your home sat on the market… Showings came and went. Weeks turned into months. And then the email came. “Your listing has expired.” Now you’re stuck asking yourself the same painful questions… Why didn’t my house sell? Did my agent mess something up? What if this happens again? Meanwhile… You’re still making mortgage payments. Still delaying your move. Still watching other homes sell while yours sits in limbo. And here’s the frustrating part most homeowners never hear… It usually wasn’t the house. It was the strategy. Most agents treat an expired listing like nothing happened. They simply relist it… Drop the price… And hope buyers magically appear. But hope is not a strategy. And this is exactly why so many relisted homes fail a second time. Because the real problem was never fixed. Which is why we created a simple guide for homeowners whose listings expired. Inside this free guide you’ll discover the **Expired Listing Relaunch Strategy** that activates a network of over 400 serious buyers and investors. Instead of waiting weeks for random showings… This strategy can generate **real written offers within 72 hours.** No fake interest. No endless open houses. No guessing if buyers are actually serious. Just real buyers competing for your property. Now here’s the damaging truth most agents won’t say out loud… Not every home will sell at any price. BUT when the right strategy meets the right buyer pool… Homes that previously sat unsold suddenly start receiving real offers. That’s exactly what this guide explains step by step. Inside you'll discover: ✅ The #1 mistake that causes thousands of listings to expire every year ✅ Why lowering the price often makes the problem worse ✅ How the “72-Hour Offer Strategy” works ✅ How expired listings can attract multiple offers when relaunched correctly If your listing expired and you still want to sell… Do not relist blindly again.
0 likes • Apr 16
@Jake Roper Ad Data & structure here. Let me know your thoughts and any recommendations on how I can scale from here. I’m a bit stuck on how to properly gather and analyze data, and how to use that to move forward. The last thing I want is to learn everything the hard way, if you know what I mean. Appreciate it, Jake!
Increase Custom Audience Size ADS
Hey I’m currently running into an issue with audience size in my Meta ads and wanted your guidance on the best way to approach this. Right now, I’ve uploaded a CSV file of around 11,000 leads — all homeowners with expired listings specifically in Houston, Texas. My goal is to target people who are already in pain (failed listing, still motivated to sell), so this dataset is extremely valuable to me. However, when I use this CSV as a Custom Audience and also set the ad location to Houston, Meta is showing that my audience size is too narrow (below 1,000), which is affecting delivery. Here’s what I’m trying to achieve: - Maintain high intent targeting (expired listings only) - Increase audience size so ads can actually deliver and optimize - Avoid diluting the quality of leads A few questions I’d really appreciate your input on: 1. Why is the audience shrinking so much, even though my CSV has ~11k contacts? 2. Is layering the Houston location on top of the CSV causing overlap and reducing size? 3. Would you recommend using this CSV differently (e.g., lookalike audiences, broader geo, etc.)? 4. What’s the best structure here if I want both precision AND scale? If you were in my position, how would you structure the campaign to keep targeting high-intent homeowners while ensuring the audience is large enough for consistent delivery and performance? Appreciate your help on this I want to make sure I’m setting this up properly before scaling
Increase Custom Audience Size ADS
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Marwan Al Mahmoud
1
3points to level up
@marwan-al-mahmoud-6286
Co-founder of J.M Digital Marketing — helping real estate agents secure consistent listings with proven ads & automated lead systems.

Active 16h ago
Joined Feb 21, 2026
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