Repeat Customer Behavior Analysis for an Online Retail and Distribution Client
Overview
Our clients is one of a largest ecommerce company Its is one of the first comprehensive virtual retail business, selling credible brands to customers nationally, operating in a multimedia environment
The client objective is to:
Understand the customer’s store preference and their revisit behaviours and evaluate the performance and ROI outcome of campaigns which are running at the same time at different malls.
Solution
Transorg’s solution
- Developed a Random Forest trained on 80% of dataset
- Variables such as demographics, transactional, product category, CRM (complaints, queries…), campaign type TV/ Web/Both
Impacts
Predict customers with high propensity to purchase in next month with an accuracy of 87%
Customers with vintage > 6 months and made last purchase within 52 days are highly likely (64%) to repurchase in the next month
Customers with only 1 transaction in past 3 months have significantly lower (12%) repeat purchase than those with multiple transactions (36%)
Females tend to repurchase more than males
Read More Success Stories
