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Case Study

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

Segment

Retail

The Results

0 %
Reduction in Churn Rate
0 %
Increase in Customer Retention
0 %
Growth in Revenue

The Challenge

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.

The Solution

ADA implemented a machine learning-driven Customer Lifetime Value (CLV) model to accurately forecast customer spending and churn. Combined with Salesforce integration, the solution enhanced targeted marketing efforts and enabled data-driven decision-making, significantly improving customer retention and sales performance.

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

Table Of Contents
The Results
The Challenge
The Solution

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0 %
Reduction in out-of-stock across stores
0 %
increase in revenue

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