Customers
IB
Isla Brown
dormantisla.brown93@example.com · +447694627282
- Source
- mailchimp
- Last contacted
- 27 Jul 2024
- Mortgage renewal
- 19 Feb 2026
- Loan value
- £715,000
- Region
- Midlands
- Added
- 28 Feb 2023
referral remortgage newsletter
Activity
-
Email opened — "It's been a while"
27 Jul 2024
-
Enrolled in Dormant Reactivation
28 Feb 2023
-
Imported from mailchimp
28 Feb 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 91
Churn risk 10
What's driving likelihood to respond
Engagement history 76
Recency of contact 88
Source quality 97
Profile & loan fit 99
Renewal timing 93
What's driving churn risk
Time since engagement 6
Contact frequency 20
Channel responsiveness 6
Relationship tenure 11
Best send time
Thu 7:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.