How a $1B+ Omni-Retailer Cut CAC and Boosted ROAS with Predictive C-API | Case Study
How a $1B+ Omni-Retailer Cut CAC and Boosted ROAS with Predictive C-API
A leading $1B+ omni-retailer partnered with Angler AI to tackle rising acquisition costs and limited campaign visibility. Using predictive modeling and real-time audience targeting via Angler’s Conversions API, the brand optimized Meta ad spend and unlocked efficient, profitable growth across digital and physical channels.
63%
Reduction in new customer acquisition cost (CAC)
77%
Increase in incremental return on ad spend (ROAS)
93%
Higher 7-day click-to-conversion rates
About the Brand
Being a $1B+ omni-retailer operating across digital and physical channels, the brand struggled with rising customer acquisition costs, limited visibility into incremental performance due to privacy restrictions, and campaign reporting that highlighted problems after the fact rather than guiding spend in real time. By partnering with Angler AI, they tapped into predictive modeling to target the Movable Middle—the segment most likely to convert—making Meta investments more efficient and unlocking profitable growth.
Goal
The client aimed to:
- Reduce the cost per new customer (CAC)
- Increase incremental ROAS (Return on Ad Spend)
- Validate performance gains using Meta’s Conversion Lift Test framework
Solution
Angler AI deployed its predictive Conversions API (P-CAPI), which:
- Generates real-time predictive models to target "Movable Middle" prospects—users likely to convert within 7 days of ad interaction
- Prioritizes ad spend toward high-predictive-lifetime-value audiences
- Delivered predictions via server-side CAPI into controlled datasets for accurate A/B testing and incrementality measurement
Outcome
Over an 8-week pilot (May 6 – July 8, 2025), across ASC+ and Audience campaigns, Angler delivered substantial improvements:
- New customer acquisition cost decreased by up to 63%
- Incremental ROAS increased by up to 77%
- Engaged audience ROAS surged by 183%, with cost per order down by 58%
- Click→conversion (7-day) rates nearly doubled (up to +93%)