Increase Conversions with AI-Powered Retargeting

Marketing teams often start with the built-in retargeting features on platforms like Google Ads or Facebook Ads. These tools are useful for broad audiences like 'all visitors' or 'cart abandoners' but lack granularity. You cannot create a segment for users who viewed 3+ pages in one product category and have a predicted lifetime value over $500. The platforms treat all cart abandoners the same.

Third-party ad-tech platforms like AdRoll or Criteo offer better segmentation but operate as black boxes. They control the bidding logic and your audience data, making it impossible to see why a specific bid was placed or integrate your own first-party data from a CRM. These platforms also typically charge a percentage of ad spend, which erodes margins as you scale.

Consider a B2B software company trying to retarget prospects who watched 75% of a demo video but did not sign up. Native ad platform tools can only target 'all visitors to the demo page.' AdRoll cannot ingest that specific video-watch event from its standard pixel. This forces the marketing team to manually export user lists from their video platform and upload them to Google Ads each week. The process is slow, creates stale audiences, and is prone to human error.

The structural issue is that off-the-shelf tools provide a fixed data model. They are not built to ingest and act on the unique, high-intent business signals that actually drive your conversions. A custom system is required when your retargeting logic becomes more sophisticated than the predefined segments these platforms offer.

Based on our experience building Google Ads automation for a marketing agency, a project like this begins with a data audit. Syntora maps your user event data from sources like Google Analytics 4, your CRM, and any product analytics tools. We identify the specific user actions that correlate highest with conversion to define the core logic for audience segmentation. You receive a clear plan outlining what data is usable and which signals will drive the system.

The technical approach uses a Python service running on AWS Lambda to process user events as they happen. When a user completes a predefined sequence of actions, the service uses the Google Ads API or Facebook Marketing API to add that user to a hyper-specific audience list. We integrate the Claude API to dynamically generate ad copy based on the user’s browsing history, moving beyond static creative to truly personalized messaging.

The delivered system is a set of automated workflows that you own and control. A custom dashboard built with Streamlit provides visibility into segment performance, ad copy effectiveness, and total ad spend. The entire system runs on your own cloud infrastructure for less than $50 per month. You receive the full Python source code, API keys, and a runbook for maintenance and future modifications.