Case Study: a mobile network operator identifies 4-15% revenue uplift potential with Buynomics pricing optimization

Mobile Network Operator identifies up to 15% revenue uplift with Buynomics

A mobile network operator faced increasing competition and rising operational costs, which pressured it to maintain market share while implementing necessary price increases. Its traditional pricing research methods were too slow and inflexible for the fast-paced market. To overcome this, the operator used Buynomics' Virtual Shoppers AI technology to gain agility in assessing the revenue impact of pricing changes.

Using the Buynomics platform, the team rapidly modeled hundreds of pricing and portfolio scenarios. They identified that a €1 or €5 price increase, when matched by competitors, could lead to a revenue uplift of 4-15% despite a decline in sales volume. This allowed the mobile network operator to make rapid, data-driven decisions with full transparency into potential outcomes.