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// blindspot.ai — production AI

Machine Learning Models Reduce Customer Churn at Socialbakers

Reduced
Monthly churn rate
Improved
Customer retention rate
The Challenge

Customer Churn Was Eroding Recurring Revenue with No Early Warning System in Place

Socialbakers needed to minimise customer churn through predictive analytics and identify the most effective retention offers for at-risk customers before they cancelled their subscriptions.

Our Approach

ML Models Predict Which Customers Will Churn Next Month, Enabling Proactive Intervention

Blindspot developed multiple machine learning models designed to capture and predict customer churn patterns on a monthly horizon, enabling the client to proactively address retention risks with targeted interventions and personalised offers.

Results

Churn Rate Measurably Reduced Through Timely, Targeted Retention Strategies

Customer churn was measurably reduced and the overall retention rate improved. The models enabled the Socialbakers team to identify at-risk customers in advance and deploy the right retention strategy at the right time.

"Blindspot supported us on a machine learning project that helped improve customer retention rate and reduce churn."
Yuval Ben-Itzak, CEO, Socialbakers
Next Steps

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