Angler trains a deep learning model on your customer data and our third-party attributes. We feed the model's predictions into Meta, Google and TikTok so that you can bid on high value customers, not just one-off conversions, and unlock 40%+ higher media return.
Your private Customer Foundation Model optimizes for the objective behind each one, turning better signal into better outcomes.
Flat to declining return on ad spend
Target the movable middle and incremental buyers
New customers getting more expensive to acquire
Cut wasted impressions on customers you already have
Struggling to acquire high-value new customers
Optimize for LTV against CAC
Digital marketing not driving revenue in physical stores
Drive incremental in-store purchases
The platforms have spent billions on auction AI built to extract budget, not to raise your return. Brands feel it as falling impressions, targeting controls that no longer bite, and rising CAC. That AI now makes over 80% of ad-auction decisions, and it is only as good as the signal you send it. Feed it raw conversions and it will find you whoever converts fastest, with no way of knowing whether they are worth having.
Optimizes toward the most obvious conversion and toward its own revenue, using frontier AI on your spend.
You steer with budget, creative, and a raw event feed that doesn't convey customer value and other predicted outcomes.
We are done leaving that to chance. Angler translates raw event data into predictive signal that teaches platform AI to find the highest-quality customers, not just the ones at the bottom of the funnel. That turns into real return for your brand, not vanity metrics.
Across 600+ tests run and validated on live spend: 30 brands, 5 verticals, most of it inside the first four weeks.
58% lower CPR · 48% better D28 return
“The auction only optimizes on what it can see quickly. Angler turns a downstream goal like retention into a signal it can use immediately. That's why a single-brand pilot became an enterprise partnership.”
Margaret Ochoa
SVP Media & Measurement, Match Group
+76% sales on 23% less Meta spend
“Meaningful growth in paid media is difficult for established brands with high incremental CACs. Partnering with Angler allowed for a unicorn outcome, driving a higher volume of new customers at lower CACs.”
Stephen Favrot
VP Performance Marketing, Tonal
New customers -9.5% to +15.8%
“Angler has been a game changer for us. Our strategy and marketing have never been better integrated. Within weeks with Angler we accelerated growth even while we slashed discounting.”
September Rinnier Votta
Co-founder, Tuckernuck
4x omnichannel ROAS · 50%+ lower CAC
“Angler reshaped our approach to signal strategy. A 4x lift in omnichannel ROAS, a 50%+ reduction in CAC, and customers with significantly higher long-term value.”
Aaron Rose
President & Chief Commercial Officer, At Home
Our pre-trained base model has learned how shopping behaves. Your private, bespoke model gets a head start and learns your customers; no other brand ever sees them.
Your model starts from weights learned by other trained instances. Weights, never records. No customer data, no identifiers, no customer-level embeddings.
Your instance learns from your customers and no one else's. It gets sharper every time you spend, and if you ever leave, the model and everything it has learned go with you.
Angler sits between you and the ad platforms, so the party running the auction is never the party holding your customer data. SOC 2 certified.
See the Customer Foundation Model on your own data, and prove the lift in a risk-free pilot.
