Member Conversion

Member Conversion

Project overview

Project overview

AI-driven clustering and predictive analytics increased new member activation by 15% and boosted member-to-customer conversions by 12%.

AI-driven clustering and predictive analytics increased new member activation by 15% and boosted member-to-customer conversions by 12%.

Challenges

Challenges

Client is a high-end online-only luxury retailer with multiple product categories (Home, Men, Women and Children). While its online member base was increasing, its customer base was not increasing at the same rate

Client is a high-end online-only luxury retailer with multiple product categories (Home, Men, Women and Children). While its online member base was increasing, its customer base was not increasing at the same rate

Our Approach

Built member clusters from browsing and purchase signals to reveal distinct behavior groups.

Trained predictive models to estimate conversion likelihood and identify early conversion windows.

Optimized targeting by removing overlap and aligning offers to segment intent.

Activated insights through personalization and measurement loops to lift activation and purchases.

Impact Delivered

Impact Delivered

The business units were used to targeting the consumers in isolation, resulting in the same consumer being targeted by multiple business units at the same time. This led to lot of inefficiencies within the client organization, while at the same time upsetting the consumer. The simultaneous targeting of the consumer from the same brand, yet different business groups resulted in increasing discontent from the consumer.

The business units were used to targeting the consumers in isolation, resulting in the same consumer being targeted by multiple business units at the same time. This led to lot of inefficiencies within the client organization, while at the same time upsetting the consumer. The simultaneous targeting of the consumer from the same brand, yet different business groups resulted in increasing discontent from the consumer.

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Download Case Study

Download Case Study

Download Case Study

Download Case Study

Download Case Study

Download Case Study