Case Studies
We helped leading ecommerce brand reduce customer churn and reengage their buyers with data analytics and data strategy
Reduce customer churn, reengage buyers, and increase business revenue through data analytics and impactful data strategy
The Results
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Successful Reengagement Strategy Set
5 Key Customer Segments Defined
Efficient Reengagement Parameters Defined:
- Discount sweet spots for each segment
- Efficient Reengagement timelines: 18 days
The Execution
Our client is a prominent ecommerce brand specializing in the kids wear segment. With a strong presence in India, they have garnered the trust of over 2 million customers and are continually expanding their product offerings.
The client was grappling with a significant issue of customer churn, as 46% of their one-time buyers (C1) did not make a second purchase. This challenge translated into a substantial potential revenue loss estimated at $2.5 million over a six-month period.
ADA successfully tackled the challenge by developing an ensemble recommendation system designed to re-engage C1 customers.
The Approach
We developed a recommendation system designed to re-engage one-time buyers, comprising of the following modules:
Customer Profiling
We profiled customers based on city/payment mode/platform/average basket spend of their first purchase to understand the behavior.
Product Recommendations
We created a Recommended Product Type Combinations List for dormant customers based on analyzing the second purchase pattern of repeat customers.
Time-Based Suggestions
We analyzed and determined the best time for targeting the customer with an offer. Time of repurchase for 60% of customers was determined as 12-18 days.
Discount Recommendations
We analyzed and determined the optimal discount offers to ensure higher re-engagement. Average discount offered across Product Type Combo for most of the segments is 10%, except premium customers (less than 5%) and Low Basket & Cash On Delivery, more than 20%
Our Analytical Framework
9%
Reduced Customer Churn Rate
~200 increase
Increase in Revenues
Case Studies
We helped leading ecommerce brand reduce customer churn and reengage their buyers with data analytics and data strategy
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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Successful Reengagement Strategy Set
5 Key Customer Segments Defined
Efficient Reengagement Parameters Defined:
- Discount sweet spots for each segment
- Efficient Reengagement timelines: 18 days
The Execution
Our client is a prominent ecommerce brand specializing in the kids wear segment. With a strong presence in India, they have garnered the trust of over 2 million customers and are continually expanding their product offerings.
The client was grappling with a significant issue of customer churn, as 46% of their one-time buyers (C1) did not make a second purchase. This challenge translated into a substantial potential revenue loss estimated at $2.5 million over a six-month period.
ADA successfully tackled the challenge by developing an ensemble recommendation system designed to re-engage C1 customers.
The Approach
We developed a recommendation system designed to re-engage one-time buyers, comprising of the following modules:
Customer Profiling
We profiled customers based on city/payment mode/platform/average basket spend of their first purchase to understand the behavior.
Product Recommendations
We created a Recommended Product Type Combinations List for dormant customers based on analyzing the second purchase pattern of repeat customers.
Time-Based Suggestions
We analyzed and determined the best time for targeting the customer with an offer. Time of repurchase for 60% of customers was determined as 12-18 days.
Discount Recommendations
We analyzed and determined the optimal discount offers to ensure higher re-engagement. Average discount offered across Product Type Combo for most of the segments is 10%, except premium customers (less than 5%) and Low Basket & Cash On Delivery, more than 20%
Our Analytical Framework
9%
Reduced Customer Churn Rate
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