Customers
NH
Noah Hughes
dormantnoah.hughes73@example.com · +447849258891
- Source
- smartr
- Last contacted
- 11 May 2025
- Mortgage renewal
- 02 Apr 2026
- Loan value
- £676,000
- Region
- Midlands
- Added
- 05 Jul 2025
remortgage first-time-buyer
Activity
-
Email opened — "It's been a while"
11 May 2025
-
Enrolled in Dormant Reactivation
05 Jul 2025
-
Imported from smartr
05 Jul 2025
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 74
Churn risk 79
What's driving likelihood to respond
Engagement history 74
Recency of contact 63
Source quality 73
Profile & loan fit 87
Renewal timing 80
What's driving churn risk
Time since engagement 84
Contact frequency 72
Channel responsiveness 64
Relationship tenure 76
Best send time
Tue 9:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.