Customers
JM
Jack Murphy
activejack.murphy60@example.com · +447288331146
- Source
- smartr
- Last contacted
- 22 Mar 2026
- Mortgage renewal
- 08 Sept 2026
- Loan value
- £670,000
- Region
- London
- Added
- 16 Jan 2024
webinar-2025 no-reply-90d remortgage
Activity
-
Email opened — "It's been a while"
22 Mar 2026
-
Enrolled in Dormant Reactivation
16 Jan 2024
-
Imported from smartr
16 Jan 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 75
Churn risk 17
What's driving likelihood to respond
Engagement history 63
Recency of contact 90
Source quality 71
Profile & loan fit 86
Renewal timing 65
What's driving churn risk
Time since engagement 27
Contact frequency 13
Channel responsiveness 22
Relationship tenure 19
Best send time
Sat 10:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.