Customers
NT
Noah Thomas
dormantnoah.thomas38@example.com · +447301381658
- Source
- mailchimp
- Last contacted
- 17 Jul 2025
- Mortgage renewal
- 06 Jun 2026
- Loan value
- £659,000
- Region
- Midlands
- Added
- 04 Feb 2025
self-employed
Activity
-
Email opened — "It's been a while"
17 Jul 2025
-
Enrolled in Dormant Reactivation
04 Feb 2025
-
Imported from mailchimp
04 Feb 2025
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 89
Churn risk 46
What's driving likelihood to respond
Engagement history 97
Recency of contact 88
Source quality 96
Profile & loan fit 92
Renewal timing 93
What's driving churn risk
Time since engagement 34
Contact frequency 54
Channel responsiveness 57
Relationship tenure 47
Best send time
Wed 12:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.