Renewal pricing can be a delicate balance. Price too low (A), and you risk revenue loss and undervalue your premium product. Price too high (B), and you may lose loyal subscribers.
Mather’s dynamic pricing solution addresses this challenge by providing targeted actions at key renewal points, aligning pricing actions with subscriber willingness to pay (C). This approach helps maximize renewal revenue while minimizing churn.
Our pricing algorithm is trained on your own data, utilizing advanced predictive modeling to consider key factors like subscription details, engagement data, and economic conditions.
This flexible tool can be applied at different levels—whether for individuals, segments, or entire products—ensuring your pricing strategies are accurate, effective, and aligned with your business goals and regulatory requirements.
With continuous A/B testing, robust performance dashboards, and measurable success metrics, we provide ongoing insights into how pricing actions impact key indicators like ARPU and churn. This empowers your team to make agile, data-driven adjustments and stay aligned with your North Star goal.
We learned that if you really want to increase your price, you should look for a helping hand, because it’s not a simple job.
Director Reader Revenue
