
Performance marketing used to be simple—brands could depend on ad platforms like Meta, Google, and TikTok to find and engage the right customers. However, Apple’s 2020 privacy changes have upended this approach. Consumer brands now face a major challenge: walled gardens can no longer track user behavior off-platform, making it difficult to optimize ad spend effectively.
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With over 70% of users opting out of tracking, these platforms are starved for data, resulting in weaker ad auction performance and unpredictable paid media outcomes. Existing marketing tools such as customer data platforms (CDPs), reverse ETL solutions, traditional Conversion APIs, and basic pixels don’t offer the sophisticated data loops needed to navigate this new privacy landscape.
Angler AI introduces the world’s first Predictive Conversion API, specifically engineered to address the challenges of today’s privacy-first digital landscape. Our solution is designed to optimize the performance of walled garden platforms like Meta, Google Ads, and TikTok, with Angler’s Predictive CAPI and Predictive Audience tools enhancing ad auction training. This technology enables brands to achieve, on average, a 32% improvement in paid marketing performance, even within a privacy-focused environment.
Angler AI combines zero-party and first-party data from brands with our proprietary dataset, featuring over 4000 purchase, demographic, and interest attributes. Using a flexible deep neural network, we construct comprehensive predicted profiles for each visitor and customer. This enriched data, sent to walled gardens through a server-side integration, enhances ad auction performance and empowers marketers to scale beyond just targeting in-market buyers.
Understanding that every business is unique with diverse marketing goals, Angler’s Predictive CAPI is fully configurable. Our solution allows auctions to be trained differently depending on the specific outcomes brands want to achieve, ensuring personalized and effective results tailored to each campaign objective.
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Angler’s technical team is a diverse group of experts with deep experience in marketing science, data science, machine learning, data engineering, and software engineering. Our core science team, which includes award-winning professionals and holders of multiple patents, is classically trained with advanced degrees (Ph.D. and M.S.) in fields such as computer science & engineering, operations research, applied mathematics, signal processing & control theory and econometrics. We’ve built and scaled predictive AI systems across various industries and, as Ad Tech veterans, developed robust identity services. Our data and software engineers have designed and maintained scalable SaaS platforms, all while being united by a common mission: optimizing ad auctions within walled garden ecosystems. We create configurable solutions that are tailored to each customer’s unique campaign and business objectives, delivering measurable and impactful results.
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When comparing server-side (CAPI) solutions, there are three primary types available:
1. Basic CAPI:
These solutions are typically free and often come built into your e-commerce platform or offered by CDPs and reverse ETL providers. While simple and functional, they transmit raw data directly to destinations without further optimization.
2. Advanced CAPI:
Paid solutions in this category provide enhanced capabilities by recognizing returning customers and linking multiple sessions, improving your data quality. If you're using an advanced CAPI solution, you're already ahead in optimizing your signal quality compared to basic CAPI.
3. Predictive CAPI by Angler AI:
Angler AI's Predictive CAPI goes beyond advanced options by integrating AI models that supercharge your data loop. Our solution enhances auction training within walled gardens, providing an unparalleled advantage in improving conversion accuracy and performance.
To learn more about how Angler AI's Predictive CAPI outperforms other solutions, check out our detailed blog post.
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