Use case · Pricing
Pricing
Test a price rise, a new tier or a new package on your customers before it reaches a single invoice.
Questions Avir answers
- 01If we raise prices 10%, how many customers buy less often, and which ones?
- 02Which customers can take a higher price, and which will leave?
- 03What happens to revenue if we add a cheaper tier?
The situation
A software company was weighing a 10% rise on every plan.
Assumed
Customers are loyal. Ten percent more on the price is close to ten percent more revenue.
Simulated
Small businesses cancelled or moved down a plan, while larger accounts barely noticed. Revenue rose 3%, a third of the plan.
Raise for larger accounts, hold small-business pricing.
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
Price +10% on every plan
Revenue +3.0% over the year
Customers still buying after six months, against no change
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
- Your price history, if prices changed before
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