$10% Attrition Reduction
Impact Area: Retention
How a high-growth D2C brand cut customer churn by ~10% with Algodel AI
About the Project
A high-growth direct-to-consumer (D2C) brand faced rising customer churn, affecting revenue consistency and stability. Operating with multiple legacy CRM and marketing tools resulted in scattered data, redundant analytics workflows, and response lags to early churn signals. The client needed a unified, scalable system for customer retention—supported by measurable, enterprise-grade results.
Key Issues
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Fragmented data from marketing, transaction, and support systems, limiting actionable insights
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Manual, ad hoc churn campaigns delivered inconsistent outcomes
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Inefficient ETL and reporting pipelines led to missed opportunities for real-time intervention
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Diverse security models delayed rollouts and increased compliance risk
Our Approach
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Data Consolidation & Engineering: Aggregated and cleaned millions of records from six touchpoints
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Advanced Modeling: Developed propensity models tested on a feature set of 120+ attributes
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Pipeline Modernization: Migrated batch workflows to automated, near-real-time orchestration reducing manual ETL intervention by over 80%
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Integration: Seamless deployment of churn scores into CRM for on-the-fly customer segmentation and personalized outreach using WhatsApp, email, and SMS APIs
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Security Standardization: Aligned all access and data retention policies with enterprise-grade governance frameworks, eliminating conflicting controls
Our Enterprise Data-Driven Solution
Our team executed a full churn prediction and retention transformation, leveraging cloud-native tools and modern machine learning pipelines to centralize analytics and deliver business impact at scale.​
Impact
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Empowered retention teams to proactively target at-risk segments, resulting in a ~10% sustained reduction in attrition .
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Triggered for customers with churn scores above 0.5, with ROI tracked continuously.
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Security and audit compliance incidents eliminated within the first 12 months of rollout.
