Case Studies

We enabled a leading ecommerce player in beauty & personal care category to boost conversion rates and drive revenue​

Data & AI
Data Analytics
India
Retail

Increase conversion rates and reduce marketing spending with RFM analysis for an ecommerce brand in the beauty and personal care category​

The Results

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The Execution

Our client, a premier online marketplace specializing in Beauty & Personal Care (BPC), boasts a robust customer base of 35 million. Their objective is to enhance the shopping experience and increase the conversion rate through precision-targeted advertising strategies.​

The client aimed to optimize their marketing efficiency by reducing expenditure while simultaneously boosting conversion rates in the highly competitive BPC sector. They recognized the potential of advanced data segmentation and Recency, Frequency, Monetary (RFM) analysis as pivotal tools for reaching and engaging the most receptive customers.​

The Approach

ADA’s leveraged segmentation techniques combined with RFM to effectively target buyers.​​

Discovery

  • Critical evaluation of existing customer segments​

Segmentation Algorithm

  • Segmentation was redefined based on recency, frequency, and monetary​
  • Multiple clustering algorithms employed to create 4 genuine clusters​

Cluster-based Offer

  • Separate & personalized offers were designed for buyer segments based on segment characteristics.​​

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