Customers
OA
Oliver Ali
dormantoliver.ali10@example.com · +447986466432
- Source
- mailchimp
- Last contacted
- 01 Apr 2025
- Mortgage renewal
- 21 Apr 2026
- Loan value
- £603,000
- Region
- Scotland
- Added
- 26 Nov 2023
high-value webinar-2025
Activity
-
Email opened — "It's been a while"
01 Apr 2025
-
Enrolled in Dormant Reactivation
26 Nov 2023
-
Imported from mailchimp
26 Nov 2023
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 61
What's driving likelihood to respond
Engagement history 89
Recency of contact 97
Source quality 94
Profile & loan fit 87
Renewal timing 81
What's driving churn risk
Time since engagement 71
Contact frequency 46
Channel responsiveness 73
Relationship tenure 46
Best send time
Thu 9:30am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.