Mirrorlabb Early access

Try the tariff on a mirror population before you launch it.

Mirrorlabb simulates how synthetic customers respond when a telecom operator changes a plan, so pricing teams can compare scenarios before anything reaches the market.

Request early access

Change the price and watch the population respond.

This is a small illustration of the idea. Each dot is one synthetic customer on a single plan. Raise the price and the more price-sensitive customers start to leave.

+0%
Staying
100%
Switching away
0%
Revenue index (today = 100)
100
Stays on the plan Switches away

At +0%: 600 of 600 customers stay, 0 switch. Revenue index 100.

Illustration only. 600 synthetic customers with invented price sensitivity. These are not real data and not a forecast.

How Mirrorlabb is designed to work

Mirrorlabb is in early development. This is the workflow we are building.

  1. Describe the market

    Start from aggregated market statistics. Mirrorlabb generates a synthetic population that follows them. No personal data goes in.

  2. Change the plan

    Add a new tariff, a price change or a bundle, and say which customers it is aimed at.

  3. Compare scenarios

    See how the population moves between plans in each scenario, with a plain-language explanation of what drove the difference.

Built for pricing, growth and product teams at telecom operators.

The questions it is meant to help with:

  • What happens to switching if we raise the price of the entry plan?
  • Does a new bundle pull customers away from our own premium plan?
  • Which customer segment is most exposed when a competitor launches a new offer?

No customer records needed.

Populations are generated from aggregated statistics. The demo above uses invented numbers, and Mirrorlabb does not use any operator's customer data.

Early access

If you work on telecom pricing and want to try Mirrorlabb as it develops, write to us.

info@mirrorlabb.com