Just the Headlines
Short on time? Here are the key facts.
- A Chicago retailer wanted to use their customer data to improve targeting, increase ROI, and to predict Customer Lifetime Value (CLV) but their data was decentralized & unreliable.
- The Aptitive’s retail and marketing analytics team built them a centralized data platform to quickly access a reliable single view of the customer.
- With the data foundation in place, an automated machine learning platform was used to run machine learning models and produce a predicted CLV based on a customer’s previous purchase behavior and other demographic information.
- The result was a modern data solution that allowed the marketing team to identify predictors, better tailor marketing activities, and make data driven marketing decisions.
Which customers are the most valuable? Which is the best marketing channel to target high value customers? These are the questions that many marketing professionals have but few have the ability to quickly and accurately answer.
When a local Chicago retailer, rich in customer data, wanted to improve their customer targeting, boost ROI, and more accurately predict Customer Lifetime Value (CLV), they needed a modern data solution to make it happen.
With this goal in mind, they turned to the retail and marketing analytics team at Aptitive for a solution.