Use cases
Questions your teams can ask their customer data
Every use case starts with a real question. Each one gives you the short answer, how to work it out, what the result looks like, and what to do next.
What is a customer data use case?
A customer data use case is a specific business question that needs joined-up customer data to answer. It usually combines purchase history, product cost, stock and engagement data so a team can see which customers, products or channels are driving revenue and margin.
The best use cases end in a decision. A finance team that finds which lines lose money after returns can reprice or delist them. A marketing team that spots its best customers going quiet can reach them before they lapse.
Browse use cases
Filter by outcome or jump straight to your team. Every question links to its full answer.
Executive
Where profit really comes from, which customers drive it and what is at risk.
Finance
Margin by category, discount depth, returns cost and the value sitting in stock that is not moving.
Marketing & CRM
Audiences, retention and campaigns judged by the customers they bring back.
Ecommerce
First purchases, second purchases and what online behaviour says about lifetime value.
Merchandising & buying
Range decisions grounded in demand, cost, stock cover and how much discount each line really needs.
Retail operations
Store performance seen through the customers each store serves.
Customer service
Service contacts linked to what customers bought and whether they came back.
Data analytics & IT
Data quality, coverage and how fast a new question gets answered.
Size the opportunity first
Free calculators that put a number on the questions above. No sign-up.
Frequently asked questions
What is a customer data use case?
A customer data use case is a specific business question that needs joined-up customer data to answer, such as which product lines lose money after returns. It usually combines purchase, product cost, stock and engagement data so a team can act on the result.
Do I need an analyst to answer these questions?
No. Each question is written the way a team would ask it. In Lexi you type the question in plain language and get the answer, the method behind it and the option to build an audience from the result.
What data do these questions need?
Most need purchase history across online and in-store sales. Margin questions also need product cost, and stock questions need inventory data.
Which industries do these use cases cover?
Retail, with hospitality coming soon. Each use case is grouped by industry and by the team most likely to ask it.
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