Alex is willing to cut people a check for any lost revenue if your test with @ProximaAI doesn’t work out. Who else is doing this? No one.

Last week I launched 35 new ads. Only 1 hit. Thats a 2.8% hit rate. You know why that's ok? Because that 1 ad ended up spending $70k profitably and become one of the top performing ads in the account. The truth is, most of your ads are going to fail. Ship More Ads.

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 @proximaai’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.

I’ve spent about 6 figures north on audiences from Proxima and they are scalable and also efficient. It makes up 30-40% of my spend. I would say it’s worth testing when you get into the 6 figures a month of ad spend. Btw I am partner of theirs but either way I do love the product and actually use it in my entire ad strategy.

New @ProximaAI audiences do be hitting nicely this week... 👀👀👀

Everyone has their reasons for choosing whether or not to diversify their marketing - whether that’s your channels, creative types, audience targeting, etc. But By choosing to rely on a single strategy you’re exposing yourself to something known as concentration risk. You’re at the mercy of a platform's algorithm changes, policy updates, cost surges, changes in trends… (Not to mention extreme limitations for proper growth) And if you do have any issues? It only amplifies the negative effects. This can be a huge headache. Trust me, we’ve been there. Of course the simple solution to this problem is to start diversifying your channels, creatives, strategies, etc. But this process takes a lot of time and effort, especially if you’re used to approaching it in one way. Yep - that’s huge headache #2. Don’t get me wrong, it’s very doable on your own. But to be honest…it sucks. Especially when there are a thousand other things you have to do and you can’t ignore the one channel you currently have. We figured this out early on and decided to go hunting for a solid tool that could help. What we found exceeded all expectations… @ProximaAI - and their data intelligence tools have been crushing it for us. They have one of the strongest data sets in eCommerce - over 65 million high AOV shoppers and AI models that help us enrich and better understand our first-party data, as well as build custom seed audiences for paid media. Using their AI-powered audiences and predictive analytics, we’ve been able to: 1) Scale Meta ads more efficiently and reduce our dependency on in-platform targeting (we’re running LALs on their enhanced seeds). 2) Improve retention and customer LTV with predictive signals and insights into our customers’ shopping behaviors at other stores, which has helped inform our content, creative, and ads. 3) Compare our paid media performance to our competitors with network-powered industry benchmarks and make data-driven decisions on how we can improve. We’ve basically been able to ‘form a shield’ against concentration risk by using their insights to expand into new audiences, strategies, and channels. Now instead of dealing with huge headache #2, we’re tapping into powerful insights from their massive data network to help us de-risk our growth strategy and scale profitably. Goodbye stressful concentration risk, hello efficient scaling. Listen, I may be a #proudpartner of @ProximaAI - but If your strategy resembles anything like what I mentioned at the beginning of this... Definitely recommend you check them out.

I have 2 scale campaigns. 1 BAU with 2 active ad sets, 1 broad and 1 with @ProximaAI audiences. 1 ASC which is by nature a singular adset. Then my testing I have anywhere from 5-10 active tests. If something doesn't get out of learning however, I cut it. There's no ideal number just consolidate and make sure 80% of your budget is out of the learning phase as quick as possible.

It’s 2024 - and structuring accounts/how to run your ad account is STILL up for question. What I’m not going to do is start a debate between cost caps and automatic bidding. BUT There is one specific thing that I’d urge you to do if you haven’t already Go broad. It doesn’t make sense to use interest-based targeting - all you’re doing is increasing CPMs by trying to get a little bit more targeted. One other thing that I’d highly suggest looking into - @proximaAI They’re taking billions of data points And creating legitimate lookalike audiences from those data points. This way you can stop using data that Meta thinks is going to be a lookalike audience for you And use data that you know will work for you. Since then, Proxima audiences make up 50% of our daily budget - definitely worth giving a shot if you’re just going broad. If you’re looking to expand your audience Don’t use Facebook’s native lookalike feature Don't use interest-based targeting Continue going broad and test using Proxima’s lookalike audiences. If you’re curious, we’re a #ProudPartner of @proximaAI and we couldn’t be happier with the results their look-a-like campaigns have done for us these last few months. Can’t recommend them enough