The problem
Reps spent most of their week researching prospects and hand-writing sequences, and the resulting messages still landed at industry-average reply rates.
What we built
- An enrichment and research step that pulls context on every prospect automatically
- AI personalisation that writes the opening lines from that research, not from templates
- n8n workflows that sequence, send, and log everything back to the CRM
How we got there
- 1
Measured the existing baseline reply rate and time-per-prospect
- 2
Tested personalisation depth against reply rate to find the point of diminishing returns
- 3
Rolled out to one rep, then the full team once the numbers held
Results
- •15%+ response rates (industry average: 2-3%)
- •80% reduction in outreach preparation time
| Metric | Before | After |
|---|---|---|
| Reply rate | 2-3% | 15%+ |
| Prep time per prospect | Baseline | -80% |
Technologies
n8n
AI Personalization
CRM Integration
What’s next
Adding intent signals so the system prioritises accounts already in-market.