Same mechanism. Same model.
Pay per result. Nothing upfront.
A solar installer in Sheffield had 750 enquiries from homeowners who had received a survey and never converted to an install. He had been meaning to follow up. There was no system.
He called them dead.
At £60 average per survey, that spreadsheet represented £45,000 in marketing spend generating zero return.
All 750 contacted with a personalised confirmation message. One question. Not a pitch.
Every response handled by AI follow-up trained on his specific offer and process.
Qualified appointments placed directly in his diary. He paid per appointment after it happened. Nothing upfront.
40 appointments booked and attended.
Conversion rate: 5.3% — above the 1-5% industry benchmark.
Campaign cost: £10,000 (40 × £250).
Return: £110,000 on £10,000 spent. 11 to 1.
The leads were not dead. They were waiting.
| List size | 750 dormant enquiries |
| Appointments booked | 40 |
| Conversion rate | 5.3% |
| Industry benchmark | 1–5% |
| Campaign cost | £10,000 |
| Revenue recovered | £110,000 |
| Return on cost | 11:1 |
| Upfront cost | £0 |
A mortgage broker had 130 contacts who had shown genuine intent. Initial consultations. Online enquiries. Real conversations that stalled.
None had been systematically followed up.
At £2,500 average commission per case, that list represented a potential pipeline of £325,000 in gross commission. Unworked.
All 130 contacted in week one with a personalised confirmation message. AI follow-up confirmed current mortgage situation, timeline, and readiness.
Appointments booked directly into his calendar. Pay per appointment attended. Nothing upfront. 30 days start to finish.
19 appointments booked and attended.
Conversion rate: 14.6% — nearly 3× the 5-10% financial services benchmark.
Campaign cost: £4,750. £9,500 confirmed at time of writing.
Full pipeline if all 19 cases complete: £47,500.
| List size | 130 dormant contacts |
| Appointments attended | 19 |
| Conversion rate | 14.6% |
| Industry benchmark | 5–10% |
| Campaign cost | £4,750 |
| Confirmed revenue | £9,500 |
| Full pipeline value | £47,500 |
| Upfront cost | £0 |
A personal injury law firm had 2,000 enquiries from potential clients who had contacted the firm and never progressed to instruction.
No structured re-engagement process existed.
The underlying pipeline represented £150,000 to £200,000 in potential fee income. Sitting dormant.
All 2,000 contacted with a personal confirmation question. AI follow-up qualified claim type, timeline, liability, and readiness.
Qualified potential clients booked directly into telephone consultations with fee earners. Pay per consultation booked. 45 days.
700 responses from 2,000 enquiries.
35% response rate against a 5-15% industry benchmark.
70 consultations booked.
£49,000 in recovered fee income from progressed cases.
| List size | 2,000 old enquiries |
| Responses | 700 (35%) |
| Consultations booked | 70 |
| Response rate vs benchmark | 35% vs 5–15% |
| Fee income recovered | £49,000 |
| Underlying pipeline | £150,000–£200,000 |
| Upfront cost | £0 |
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