Loyalty and Engagement

Usage–loyalty analysis

Know which regulars are truly loyal, and who's drifting

We separate customers who are truly loyal from those who just visit often, and flag the ones starting to drift.

Usage–loyalty matrixIllustrative
Usage (frequency and spend) →
High value, short tenure
Core clients
Occasional
Long-standing, low spend
Loyalty (tenure) →
Adapted from Reinartz and Kumar's loyalty–profitability framework.

The question we answer

Are your most frequent customers also your most loyal?

What you get

  1. Usage–loyalty matrix
  2. Profile of high-frequency customers
  3. Early indicators of customer departure
  4. Engagement plan by quadrant
  5. Post-visit NPS survey linked to each client's booking history: who's truly loyal, who's at risk, and what promoters are worth

Data we need

Visit history, tenure and spend, plus membership data where applicable.

Our approach

Usage–loyalty analysis

A clear view of which frequent customers are truly loyal, grounded in Reinartz and Kumar's loyalty–profitability framework and statistical analysis of what drives loyalty.

Engage this service on its own or within our Revenue Intelligence Program. Sample output shown is illustrative.

FAQ

Questions, answered.

  • Not necessarily. High usage and long tenure are different behaviors, and customers can show one without the other. The matrix shows which customers have both.

Start with a free, 10‑minute assessment.

Every engagement begins with the AI readiness assessment and a call to go through your results.