Customers
GS
George Smith
dormantgeorge.smith39@example.com · +447808382905
- Source
- mailchimp
- Last contacted
- 01 May 2025
- Mortgage renewal
- —
- Loan value
- £694,000
- Region
- South East
- Added
- 10 Jun 2025
first-time-buyer newsletter
Activity
-
Email opened — "It's been a while"
01 May 2025
-
Enrolled in Dormant Reactivation
10 Jun 2025
-
Imported from mailchimp
10 Jun 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 82
Churn risk 44
What's driving likelihood to respond
Engagement history 68
Recency of contact 81
Source quality 80
Profile & loan fit 85
Renewal timing 82
What's driving churn risk
Time since engagement 54
Contact frequency 58
Channel responsiveness 44
Relationship tenure 48
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.