The company lacked a data-driven and optimised pricing and packaging model, limiting the ability to maximise revenue and profitability.
There was insufficient insight into customer price sensitivity, profitability, and behaviour, and how different segments were affected by the current pricing model.
Customer base analysis
To understand historical and future price sensitivity, profitability, churn, and the internal cost of supporting different customer types and segments.
Simulations
Revenue and profitability simulations per customer under the current pricing model.
Update pricing model and service packaging
Based on findings, the pricing model was updated with the right price levels, and new offerings, discounts, and contract terms were developed.
Preparation for implementation
Existing customers were mapped into the new model. A legal review of the model and contracts was also conducted.
Implementation and roll-out
Tested with selected customers in a pilot, then a full-scale roll-out including a communication plan and key accounts.
Ring Dan, Patrick eller Christoffer eller använd formuläret nedan.

Dan: 070-729 80 25

Region Syd, Patrick: 070-963 24 56

Christoffer: 072-236 85 10
