Case Studies

We helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

Data & AI
Data Analytics
India
Retail

ADA's ML-driven CLV model cuts churn by 8% and lifts CLV-based revenue by 20% for a leading retail brand

The Results

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The Execution

The client faced a challenge with the lack of predictive insights into customer spending, leading to uncertainties in strategic decisions, and inefficient customer segmentation, causing suboptimal retention strategies and marketing inefficiencies.

ADA helped to implement a machine learning-driven Customer Lifetime Value (CLV) model, intricately forecasting customer spend and churn, which, alongside Salesforce integration, enhanced targeted marketing efforts and enabled data-driven decision-making to significantly improve customer retention and sales outcomes.

The new model resulted in an 8% reduction in churn rates, a 20% increase in revenue from CLV-based marketing campaigns, and a 17% boost in customer retention through personalized incentives.

8%

Reduction in Churn Rate

17%

Increase in Customer Retention

20%

Growth in Revenue

~200 increase
Increase in Revenues

Case Studies

We helped a leading retail brand grow revenue and increase customer retention by implementing a ML-driven Customer Lifetime Value model

Data & AI
Data Analytics
India
Retail

The Challenge

M1 needed to rethink how customers pre-ordered the Samsung Galaxy S25. The traditional experience of long queues, complex forms, and multiple customer service calls wasn't delivering the seamless journey their customers expected from a leading Singapore telco.

What we have achieved

~200 increase
Increase in Revenues

The Results

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The Execution

The client faced a challenge with the lack of predictive insights into customer spending, leading to uncertainties in strategic decisions, and inefficient customer segmentation, causing suboptimal retention strategies and marketing inefficiencies.

ADA helped to implement a machine learning-driven Customer Lifetime Value (CLV) model, intricately forecasting customer spend and churn, which, alongside Salesforce integration, enhanced targeted marketing efforts and enabled data-driven decision-making to significantly improve customer retention and sales outcomes.

The new model resulted in an 8% reduction in churn rates, a 20% increase in revenue from CLV-based marketing campaigns, and a 17% boost in customer retention through personalized incentives.

8%

Reduction in Churn Rate

17%

Increase in Customer Retention

20%

Growth in Revenue