Case Study
Improving customer experience along the customer journey with data and analytics
Problem
- Our client wanted to increase revenue and profitability of consumer sales in ecommerce.
- How to drive more traffic to ecommerce site?
- How to improve sales conversion?
- How to optimize pricing?
- How to forecast sales to avoid out-of-stock situations?
- How to improve customer experience and get the most out of loyalty programs?
- How to optimize media spend?
Approach
- Identify and define key use cases for ecom optimization
- Integrate data to a 360-degree customer data platform.
- Develop campaign analysis and AB-testing capability
- Development of analytical models such as CLV, next-best offer, churn, and behavioral segmentation.
- Development of sales forecasting and price optimization algorithms.
- Squad way of working for fast experimentation.
Results
- Website, eCommerce, and newsletters personalization based on customer behavior in different touchpoints.
- Considerable campaign lift increases through better targeting and personalization.
- Insights dashboards for campaign management, customer service and own stores.
- Sales forecasting scenario tool for salespeople.
- Price elasticity analysis and recommendations
Business Value
Sales Forecasting, Customer Engagement, Price Optimization
Tech & Methods
Industry
Case
Client
Consumer Goods
Our client is a global consumer goods company focusing on design brands for home, kitchen and outdoors.
DAIN Studios has been a trusted partner in shaping data strategy and developing data and analytics capabilities for improving customer experience across customer touch points and driving ecommerce sales.