Customers
AR
Ava Roberts
dormantava.roberts22@example.com · +447860724606
- Source
- mailchimp
- Last contacted
- —
- Mortgage renewal
- —
- Loan value
- £545,000
- Region
- London
- Added
- 05 Nov 2023
Activity
-
Email opened — "It's been a while"
—
-
Enrolled in Dormant Reactivation
05 Nov 2023
-
Imported from mailchimp
05 Nov 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 78
Churn risk 84
What's driving likelihood to respond
Engagement history 92
Recency of contact 70
Source quality 64
Profile & loan fit 64
Renewal timing 89
What's driving churn risk
Time since engagement 82
Contact frequency 81
Channel responsiveness 71
Relationship tenure 77
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.