Customers
JW
James Ward
engagedjames.ward84@example.com · +447888297378
- Source
- smartr
- Last contacted
- 20 Feb 2026
- Mortgage renewal
- —
- Loan value
- £688,000
- Region
- Scotland
- Added
- 28 Mar 2024
no-reply-90d
Activity
-
Email opened — "It's been a while"
20 Feb 2026
-
Enrolled in Dormant Reactivation
28 Mar 2024
-
Imported from smartr
28 Mar 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 88
Churn risk 74
What's driving likelihood to respond
Engagement history 74
Recency of contact 78
Source quality 90
Profile & loan fit 87
Renewal timing 75
What's driving churn risk
Time since engagement 74
Contact frequency 76
Channel responsiveness 62
Relationship tenure 89
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.