Customers
FC
Freya Cooper
dormantfreya.cooper12@example.com · +447192329700
- Source
- mailchimp
- Last contacted
- 01 Apr 2025
- Mortgage renewal
- 28 Nov 2026
- Loan value
- £590,000
- Region
- North West
- Added
- 12 Dec 2022
high-value newsletter
Activity
-
Email opened — "It's been a while"
01 Apr 2025
-
Enrolled in Dormant Reactivation
12 Dec 2022
-
Imported from mailchimp
12 Dec 2022
AI scoring How these are scored
The model scores each contact 0–100 from their engagement history, recency of last contact, source quality, and profile signals (loan value, renewal timing).
Likelihood to respond — higher is better. Churn risk — higher means more likely to go cold. Scores refresh as new activity arrives.
Likelihood to respond 88
Churn risk 34
What's driving likelihood to respond
Engagement history 91
Recency of contact 88
Source quality 98
Profile & loan fit 83
Renewal timing 87
What's driving churn risk
Time since engagement 25
Contact frequency 45
Channel responsiveness 43
Relationship tenure 21
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.