Use case · Customer segments
Customer segments
Find the groups your customers really fall into, by how they behave, and test every decision on each of them.
Questions Avir answers
- 01Which groups do our customers fall into, by what they actually do?
- 02Which group should we grow, keep or win back first?
- 03How does each group respond to the same change?
The situation
An online store sent one offer to everyone.
Assumed
Customers are much alike. The average is good enough.
Simulated
Five groups with very different habits. A fifth of customers made half the revenue, and they were the least moved by discounts.
Different offers for different groups.
An illustrative example. Your simulations run on your own customers.
What the simulation shows
The result, by customer group.
Every scenario comes back as a month-by-month forecast with its range, and the difference for each group of customers.
Scenario
The same 10% discount for every group
Orders +6%, almost all from two groups
Orders over three months, against no discount
What goes into it
What you need to get started.
Your data
- Orders, invoices or subscriptions, each with a customer, a date and an amount
- Anything else you know about customers: plan, region, channel
The world outside
- None needed
Time and cost
- A forecast in seconds, once your data is connected
- A scenario with the AI panel in about a minute
- The cost in AI credits is shown before anything runs