We ran the same campaign against two audiences. One cost half as much per lead. This page shows you what changed.
Results Disclaimer: Campaign performance data on this page reflects one documented head-to-head comparison shared for example only. Results vary based on industry, offer, audience, and budget. This is not a guarantee of future performance.
You're already running lean. Every dollar of wasted spend either eats your budget or your client's. When CPA climbs and conversion rates don't, the problem usually isn't the creative. It's who's seeing the ad.
You have tested creative. You have tested angles. You have tested landing pages. At some point the biggest lever left is who sees the ad in the first place.
Audience composition is the variable most paid acquisition teams never fully test, because most audience data is generic interest and lookalike data, the same inputs every competitor running similar campaigns already uses.
The Compounding Audience™ is built from behavioral intent signals across the open web. It tracks real research behavior for your category, not demographics or broad interest data, close to the moment someone buys.
We build it and sync it to Meta, along with paid search, programmatic display, connected TV, and other channels depending on where you run. You keep running your own campaigns. You just feed them a sharper audience.
A direct head-to-head on a live Meta campaign. Same creative, same objective, same budget split. One audience used standard interest targeting. The other used The Compounding Audience™, built from behavioral intent data.
| Metric | The Compounding Audience™ | Interest Targeting |
|---|---|---|
| Conversions | 39 | 8 |
| Conversions per $1,000 spent | 12.7 | 5.8 |
| Amount spent | $3,073.82 | $1,386.12 |
| Cost per conversion | $78.82 | $173.27 |
| Link CTR | 1.48% | 1.14% |
The Compounding Audience™ cost more per thousand impressions. Each conversion came in at less than half the cost. On a fixed budget, that difference is pure reclaimed spend.
This reflects one documented campaign comparison on one platform. Results vary.
Every dollar you shave off cost per lead is a dollar that doesn't get wasted on people who were never going to convert.
It is not a static list. It is rescored daily and learns from your own conversion data. The longer it runs on your offer, the more it fits your exact buyer.
Rescoring starts immediately. The first proof point: a good audience, already ahead of interest targeting or lookalikes.
Your first batch of conversions gets uploaded. The audience starts learning from real buyers, not just clicks.
Built from six months of your own buyer behavior. The baseline already beats generic targeting from day one on its own. Keep feeding it real conversions and it keeps getting sharper, with no cap on how far it compounds.
"Every other campaign running this kind of traffic is fighting audience fatigue with the same generic data. Yours keeps getting sharper because it's built from your buyers, not the market's."
Every month you run it, the model absorbs more of your conversion data and the audience sharpens. CPA drops with a reason attached, not luck.
Cost per lead cut from $173 to $79 on 40 conversions/mo: ~$3,760 in reclaimed budget, same spend, every month.
Most buyers see a result inside the first 30 days. That's the baseline test, and it usually beats what you're already running. The bigger gain comes after. By day 60, your first batch of conversions gets uploaded and The Compounding Audience™ starts learning from your real buyers. By day 90 you have a documented before and after that shows how far it has compounded past that first result. 30 days proves it works. Day 90 is where your CAC advantage stops being replicable by anyone running the same offer with generic data.
Meta sync is standard. We handle the technical build and sync on our end. No platform to learn, no files to upload.
What's being promoted, which platforms you run, who buys it.
We build the audience and sync it to the platforms where your spend is. Technical work is on us.
A head-to-head against your current targeting for 30 days. Compare CPA, then decide.
Month-to-month or quarterly billing. You pay after you've seen it work.
Monthly or quarterly billing. No long-term contracts. Cancel with 60 days' notice, no penalties. Data is licensed, not owned. If you cancel, the model built around your conversion history stops updating.
The Compounding Audience™, a targeting list built from people showing real buying-intent signals for your offer's category. It syncs to Meta as a custom audience, and to other platforms on request. You run your own campaigns against it, the same way you'd run against any custom audience.
Most buyers see a result inside the first 30 days. That's the point of the test. From there, The Compounding Audience™ keeps learning. By day 90 it's measurably sharper than day 30, and by day 180 it's built entirely around your buyers. If the 30-day result doesn't already beat what's running, you walk. No cost, no obligation.
No. No card, no contract to start. You run the audience for 30 days and decide based on live performance. If you continue, it's a month-to-month agreement, never a long-term lock-in.
Most audience data is generic interest or lookalike data, the same inputs every other buyer on your offer already has access to. The Compounding Audience™ trains on your own conversions over time. It becomes specific to your exact buyer, not the whole market chasing the same offer.
The data is licensed, not permanently owned. Access to ongoing updates ends on cancellation. The model built around your specific conversion history takes real time to rebuild elsewhere, which is why most buyers who see a result don't cancel.
What the offer is, which platforms you run, and who the ideal buyer is. We handle the build and the sync. You keep running your campaigns.
Tell us about your offer and we'll scope the first buying-intent audience and get it syncing.