Use case · Promotions & campaigns
Promotions & campaigns
See who a discount, a bundle or a campaign really brings in, and what it costs you in sales you'd have made anyway.
Questions Avir answers
- 01Does a sale bring in new customers, or just discount the ones we have?
- 02Which customers should get the offer, and which shouldn't?
- 03What does a campaign add over the next six months, not just the next week?
The situation
An online store planned 20% off everything for a week.
Assumed
A big sale brings in new customers and a strong month.
Simulated
Most orders came from regulars who would have bought a week later at full price. Margin fell faster than sales rose.
Run it for lapsed customers only.
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
20% off everything for a week
Margin −4.1% over three months
Orders in the sale week, against no sale
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
- Past promotions and their dates, if you have them
The world outside
- Seasons
- Holidays
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