🤝
Had a few questions about my current scaling campaign setup We have 2 campaigns for scaling 1 is an ASC with all winning ads The other is a CBO with 2 ad sets. 1 ad set completely broad. The other is loaded up with Lookalikes sourced from Proxima's AI Audiences. The question I’ve been getting is: “is Proxima worth it?” In short - their audiences use a ridiculous amount of aggregated storefront data to target high-paying, in-market shoppers with highly targeted ads. The problem we face as we scale is Meta is going to go after the people they believe are shoppers. Proxima gives us enhanced seed audiences built off of 65M+ high AOV shoppers and $17B+ in transaction data across thousands of eCom stores. Obvi certainly doesn’t have access to that level of data and Meta doesn’t necessarily either. OK, so what? 1. A surgical approach to targeting means less wasted ad spend (more data, stronger signal) 2. We’re able to spend into new high-intent audience pools that Meta hasn’t found 3. When Meta’s algo goes haywire (we’ve all been there), we hedge our bets with a consistent targeting alternative Meaning much more efficient scaling. To date, we have seen up to +31% higher ROAS and -26% lower CPAs. I’m allocating a little over 60% of my ad spend to their audiences, and we’re seeing MUCH more efficient results at scale with Proxima’s audiences compared to broad. At the end of the day, it’s not for everyone. But if you’re spending more than $100-$200k+ a month, I’d definitely recommend adding something like this to your tool kit. With my campaign structure I mentioned above, you’re basically forcing your Proxima ad set to go head-to-head with your usual broad ad set, and for us it’s been consistently performing better. Am I a #proudpartner of theirs? Yes. Am I a paying customer? Yes. Am I proud to share something that has helped us significantly scale our ad spend efficiently? YES.