Customers
JC
Jack Clarke
dormantjack.clarke43@example.com · +447479718259
- Source
- smartr
- Last contacted
- 28 Aug 2024
- Mortgage renewal
- 19 Nov 2026
- Loan value
- £638,000
- Region
- South East
- Added
- 15 Sept 2024
high-value buy-to-let
Activity
-
Email opened — "It's been a while"
28 Aug 2024
-
Enrolled in Dormant Reactivation
15 Sept 2024
-
Imported from smartr
15 Sept 2024
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 51
What's driving likelihood to respond
Engagement history 92
Recency of contact 100
Source quality 92
Profile & loan fit 97
Renewal timing 79
What's driving churn risk
Time since engagement 54
Contact frequency 65
Channel responsiveness 40
Relationship tenure 64
Best send time
Learning…
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.