Customers
TW
Thomas Walker
activethomas.walker89@example.com · +447565217290
- Source
- smartr
- Last contacted
- 12 Mar 2026
- Mortgage renewal
- —
- Loan value
- £559,000
- Region
- London
- Added
- 20 Nov 2025
referral newsletter webinar-2025
Activity
-
Email opened — "It's been a while"
12 Mar 2026
-
Enrolled in Dormant Reactivation
20 Nov 2025
-
Imported from smartr
20 Nov 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 95
Churn risk 69
What's driving likelihood to respond
Engagement history 96
Recency of contact 99
Source quality 100
Profile & loan fit 100
Renewal timing 100
What's driving churn risk
Time since engagement 73
Contact frequency 64
Channel responsiveness 74
Relationship tenure 64
Best send time
Mon 8:00am
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.