Angler AI

Integration of AI Models with Marketing Data

The platform needed to generate conversion predictions from marketing data coming from multiple sources. Campaign data, customer attributes, and behavioral signals had to reach machine learning models. The challenge was to organize these data flows so models could produce reliable predictions while keeping the product responsive.

Solution

We designed a data workflow that connects the web application with analytics and machine learning pipelines. Marketing data is processed before reaching prediction models. The system then returns audience scores and insights directly to the interface, allowing users to create AI-based audiences without waiting for complex calculations.

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Translation of AI Logic into a Usable Product Workflow

Angler AI relies on machine learning to predict conversion potential and build high-value audiences. However, most marketing teams do not work with ML systems directly. The challenge was to present AI predictions and audience creation in a format that felt familiar and usable inside daily campaign workflows.

Solution

We designed a product where users can generate audiences from AI predictions without interacting with the underlying models. The interface allows marketers to select inputs, review predicted audiences, and prepare campaigns through a clear step-by-step process.

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Connection Between Audience Creation and Campaign Execution

AI models could identify high-value audiences, but insights alone were not enough. Marketing teams needed a way to turn predicted audiences into active campaigns and later measure their performance. Without that connection, the platform would remain an analytics tool rather than a marketing product.

Solution

We built functionality that allows users to export AI-generated audiences directly to advertising platforms. The system also collects campaign performance data and shows results inside the platform. This helps marketing teams evaluate which audiences convert better and adjust targeting strategies.