Customers
EA
Emily Allen
dormantemily.allen45@example.com · +447199790221
- Source
- airtable
- Last contacted
- —
- Mortgage renewal
- —
- Loan value
- £717,000
- Region
- Scotland
- Added
- 31 Mar 2023
buy-to-let high-value referral
Activity
-
Email opened — "It's been a while"
—
-
Enrolled in Dormant Reactivation
31 Mar 2023
-
Imported from airtable
31 Mar 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 66
Churn risk 76
What's driving likelihood to respond
Engagement history 78
Recency of contact 62
Source quality 74
Profile & loan fit 61
Renewal timing 67
What's driving churn risk
Time since engagement 90
Contact frequency 89
Channel responsiveness 75
Relationship tenure 69
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.