Customers
FH
Freya Hall
dormantfreya.hall74@example.com · +447164989078
- Source
- mailchimp
- Last contacted
- 04 Dec 2024
- Mortgage renewal
- —
- Loan value
- £627,000
- Region
- London
- Added
- 22 May 2023
high-value remortgage newsletter
Activity
-
Email opened — "It's been a while"
04 Dec 2024
-
Enrolled in Dormant Reactivation
22 May 2023
-
Imported from mailchimp
22 May 2023
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 95
Churn risk 65
What's driving likelihood to respond
Engagement history 100
Recency of contact 100
Source quality 100
Profile & loan fit 82
Renewal timing 96
What's driving churn risk
Time since engagement 57
Contact frequency 74
Channel responsiveness 55
Relationship tenure 61
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.