Customers
LA
Liam Ali
dormantliam.ali45@example.com · +447259573445
- Source
- mailchimp
- Last contacted
- 11 Jul 2024
- Mortgage renewal
- 28 Aug 2026
- Loan value
- £597,000
- Region
- Scotland
- Added
- 15 Sept 2022
referral
Activity
-
Email opened — "It's been a while"
11 Jul 2024
-
Enrolled in Dormant Reactivation
15 Sept 2022
-
Imported from mailchimp
15 Sept 2022
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 87
Churn risk 84
What's driving likelihood to respond
Engagement history 92
Recency of contact 72
Source quality 90
Profile & loan fit 79
Renewal timing 83
What's driving churn risk
Time since engagement 71
Contact frequency 79
Channel responsiveness 79
Relationship tenure 85
Best send time
Tue 6:30pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.