Part 4 — CRM Recommendations - to be completed

Goal: Translate the segmentation and churn scores into a concrete action plan that a sales or CRM team can implement without needing to understand the underlying models.

4.1 The action matrix

Segment	Churn Risk	Recommended Action	Channel	Timing
Champions	Low	Loyalty reward, upsell to premium fleet	Account manager	Ongoing
Loyal Customers	Low–Medium	Proactive renewal outreach	Email + call	60 days before contract end
At-Risk	High	Personalised reactivation offer	Account manager call	Immediate
Potential Loyalists	Low	Nurture campaign, introduce new categories	Email sequence	Monthly
Lost / Hibernating	High	Low-cost win-back (discount offer)	Email	Quarterly

4.2 Integration with CRM systems

The model output (segment label + churn probability score) can be exported as a simple CSV and loaded into any standard CRM (Salesforce, HubSpot, Pipedrive). Each customer record gets two new fields:

rfm_segment — the behavioural segment label
churn_probability — a score from 0 to 1

Account managers can filter by segment and churn score to build their weekly outreach lists — no data science knowledge required on their end.

4.3 Measuring success

The value of this work is only proven if it's tracked. Recommended KPIs:

Churn rate by segment — measured monthly, compared to pre-intervention baseline
Reactivation rate — % of At-Risk customers who place a new contract within 90 days of outreach
Revenue retained — estimated by multiplying reactivated customers × average annual contract value
Model precision over time — retrain quarterly and track whether AUC improves as more post-intervention data accumulates

4.1 The action matrix

4.2 Integration with CRM systems

4.3 Measuring success

4.4 What this means for the business — summary