
Learn how Thirstie uses embedded machine learning predictions to give users more valuable insights about their markets.
AI only matters when it’s making something you already do work better. Pick from 100s of built-in recipes, or get creative and start from scratch.
Predicting customer behavior starts with customer data. Connect Faraday to wherever your data lives, then organize it into groups we call cohorts.
What are you trying to predict? Use an intuitive, point-and-click interface to map your cohorts into prediction objectives.
Finally, choose who to make these predictions on and where they should be deployed. Faraday takes care of the rest from here on out.
See how practical, powerful AI gives brands everywhere the boost they need to beat their goals
Learn how Thirstie uses embedded machine learning predictions to give users more valuable insights about their markets.
Iterable interviews Faraday's CEO to unlock the secrets to automated personalization using consumer data and AI responsibly.
Using Faraday’s dynamic lead scores, Sealed was able to pre-qualify a new segment of leads that was previously not working, leading to a 5% increase in leads that marketing can deliver to sales.
Along with improvements in performance, Burrow gained a better understanding of which audience segments would provide a higher returns on their ad spend.
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