Valpak, one of North America’s leading direct marketing companies, recognized an opportunity to boost customer retention using insights from historical customer behavior data. However, the Valpak team was unsure if their data could predict which customers are likely to leave and why, and they lacked the data science expertise necessary to extract those insights—so they turned to AgileThought to conduct Predictive Analytics Discovery.
Watch the video to learn how we helped the Valpak team:
- Predict customer churn with a predictive analytics PoC in just four weeks
- Run predictive models autonomously using a PoC codebase
- Broaden its team’s data science capabilities