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How Telcos Use Household Insights to Win Subscribers and Reduce Churn

Our case study reveals how telecom leaders are closing critical visibility gaps to predict churn and unlock growth.

For telco leaders, first-party subscriber data tells only part of the story. Without the addition of household data, it’s nearly impossible to accurately predict churn and identify acquisition opportunities.

In our case study, Leveraging Household Insights to Attract and Retain Subscribers, you’ll see how one telecom company enriched their first-party data to improve retention and revenue per user.

What You’ll Learn

This case study reveals how telecom leaders are using enriched data to:

  • Build unified, accurate household profiles from subscriber data

  • Apply enriched insights to strengthen upsell, acquisition, and churn-prevention campaigns

  • Boost retention and revenue by targeting high-value households

Combining first-party and household-level data delivers a complete customer view that enables smarter segmentation and faster growth.

Fill out the form to see how leading telecom companies are using data enrichment and feature engineering to predict churn and strengthen retention.

Discover How Telcos Are Using Household Data to Prevent Churn