On paper, the formula for success in performance marketing seems straightforward:
1️⃣ Target the right prospects.
2️⃣ They engage, discover your brand, and convert.
3️⃣ They become high-value customers.
But in reality, things get messy—especially when it comes to measurement and attribution. With tools like TripleWhale, Northbeam MTA, and platform-reported metrics (that many marketers don’t trust), getting clear insights is a challenge.
At Angler AI, we thrive on helping brands cut through the noise and experiment with first-principles thinking.
We recently worked with an e-commerce brand where 50%+ of daily orders came from returning customers—a testament to their strong product-market fit and CRM strategy. Their goal? Dedicate 100% of paid spend to acquiring new customers.
They followed best practices, syncing customer & CRM lists to Meta hourly and excluding those audiences from prospecting. Yet, their new customer acquisition cost (nCAC) kept rising—both platform-reported and blended.
🔹 The brand spends 7 figures/month across Meta (70% share), Google Ads, and affiliate channels.
🔹 During testing, they kept Google & affiliate spend fixed (+/-5%).
🔹 On Feb 19, they switched from an advanced CAPI provider to Angler’s predictive CAPI for Meta.
Our North Star? Blended new customer CAC—no attribution guesswork.
Early signs are promising: blended nCAC is dropping, even with increased Meta spend. Marginal nCAC is also becoming more efficient, proving that better data can drive smarter acquisition.
But we’re just getting started. The next phase? LTV:CAC optimization—leveraging Angler’s pLTV signals to reinvest nCAC gains into acquiring higher-value customers.
If attribution headaches and rising CAC sound familiar, we’d love to connect. At Angler AI, we’re partnering with forward-thinking growth marketers to push the boundaries of what’s possible.
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