Determine customer value per segment
We define customer value and show where the potential lies.
Services / Customer Lifecycle / Customer development
In development, the value of existing customers grows. At the end of the phase, however, the first signs of declining usage also appear.
ProNexum helps companies develop customer value deliberately and anchor the early warning on declining customer value before churn occurs.
Customer development increases the value of existing customers: through suitable offers and services, cross- and up-selling and personalized communication. The foundation is segments, customer value and the value proposition.
At the same time, this phase is where the early warning sits. When a customer’s usage or purchase frequency declines, customer value is often already falling. Those who recognize this early can counteract before the customer leaves.
Offers unrelated to the customer feel pushy and reduce trust.
Without early warning, churn is only noticed once the customer has gone.
A signal nobody reacts to does not prevent churn.
Looking only at single purchases overlooks how the customer develops over time.
Four steps to customer value that grows and is protected early.
We define customer value and show where the potential lies.
We develop suitable offers and occasions for cross- and up-selling.
We determine which changes indicate declining value.
We set responsibility and measures for when a signal occurs.
In the end you have clarity, responsibility and key figures for the phase.
Illustrative example
A company sells additional products to existing customers, but silently loses customers whose usage declines.
It defines early-warning signals such as missing purchases, assigns the response to service and starts targeted measures before customers become inactive.
Development follows customer retention. When the early warning triggers, the path leads into churn and win-back. Signals can be supported by AI, see AI Operating Model: technology and data. On steering: customer value and KPIs.
FAQ
Typical signs are less frequent purchases, lower usage or less response to communication. Which signals count, we determine with your data.
That depends on the business model. What matters is that one role is clearly responsible and measures are ready.
AI can detect patterns and prioritize customers. For it to work reliably, it needs data, responsibilities and rules. That is a topic of the AI operating model.
Yes. In B2B, declining value shows, for example, in fewer orders or changing contacts at account level.
We would be glad to discuss with you how to anchor development and early warning in your lifecycle.