Leading UK Media Publisher Generates £6M+ and Boosts Retention with Churn Prediction, Attribution & Personalisation

Industry: Media, Publishing

Client

Leading UK Media Publisher

Goal

To leverage data science to optimize marketing and editorial decisions, strengthen customer engagement, and drive overall business performance in the media industry.

Challenges

  • Improve marketing attribution to better understand campaign effectiveness.
  • Reduce customer churn by leveraging data-driven insights.
  • Increase revenue through optimized strategies across marketing, commercial, and editorial teams.

Solution

Built advanced models for customer churn analysis, preference modeling, and article popularity prediction.

Developed attribution models to optimize marketing spend and forecast customer behavior.

Designed recommendation engines to enhance user engagement on digital platforms.

Delivered strategic insights that improved the marketing lifecycle and drove revenue growth.

Impact:

Generated an additional £6 million in revenue by optimizing marketing strategies and improving customer targeting.

Improved customer retention by implementing churn prediction models and personalised recommendations.

Enhanced editorial content strategies with data insights, leading to better engagement and readership.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.