Customers
DT
Daniel Thomas
dormantdaniel.thomas4@example.com · +447957557029
- Source
- mailchimp
- Last contacted
- 06 Sept 2025
- Mortgage renewal
- 01 Sept 2026
- Loan value
- £515,000
- Region
- North West
- Added
- 27 Nov 2025
Activity
-
Email opened — "It's been a while"
06 Sept 2025
-
Enrolled in Dormant Reactivation
27 Nov 2025
-
Imported from mailchimp
27 Nov 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 93
Churn risk 63
What's driving likelihood to respond
Engagement history 93
Recency of contact 83
Source quality 96
Profile & loan fit 87
Renewal timing 88
What's driving churn risk
Time since engagement 73
Contact frequency 67
Channel responsiveness 77
Relationship tenure 62
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.