Proof, not promises

We were spending $236 to reveal 10,000 contacts through Apollo. He worked out the address pattern from the director's name and verified one candidate instead of buying each reveal, same verified addresses, under $20. He showed me the maths from both providers' pricing before building anything.

Daniel· Commercial director

Working out who to approach was eating fifteen minutes a lead. It now searches nineteen public sources and hands us the organisation, the buyer and a legitimate way in. What sold me was that it refuses to guess. Anything ambiguous goes to a review queue instead of being invented.

Elena· Partner, business development

Our opening lines all sounded the same because the AI was just rewording what we had already given it. His version reads the prospect's site first and writes the line around something actually wrong with it. Completely different response.

Rachel· Marketing director

We had 5,000-odd old contacts sitting in the CRM doing nothing. He ran a reactivation campaign across them and it brought in revenue without us spending anything on ads. Nothing new was bought, it was all list we already had.

Omar· Founder and managing director

We used to get to enquiries the next morning. Now they get a reply in under a minute, any hour of the day. Our close rate moved for one reason only: we stopped being the second business to answer.

Priya· Head of sales

Every lead needed a website found, a decision maker identified, an address verified. Ten minutes each, by hand. The part I did not expect to care about is watching it run. When something breaks I see it live instead of guessing from bounce rates a week later.

Tom· Sales director

One firm was showing up in our export three times, the owner, a partner, an officer, and Apollo charged us for each. On top of that we were re-buying contacts we had already paid for months earlier. He built a memory across runs so nothing gets bought twice, and collapsed each firm to one contact before the paid call. It was about $24 wasted per thousand contacts.

James· Managing director

Script in, upload-ready cut out, one command. We publish weekly, so that is roughly $270 an episode we are not paying an editor, about $14K across a year. Around ninety per cent of the production now runs without us.

David· Head of content

We were spending $236 to reveal 10,000 contacts through Apollo. He worked out the address pattern from the director's name and verified one candidate instead of buying each reveal, same verified addresses, under $20. He showed me the maths from both providers' pricing before building anything.

Daniel· Commercial director

Working out who to approach was eating fifteen minutes a lead. It now searches nineteen public sources and hands us the organisation, the buyer and a legitimate way in. What sold me was that it refuses to guess. Anything ambiguous goes to a review queue instead of being invented.

Elena· Partner, business development

Our opening lines all sounded the same because the AI was just rewording what we had already given it. His version reads the prospect's site first and writes the line around something actually wrong with it. Completely different response.

Rachel· Marketing director

We had 5,000-odd old contacts sitting in the CRM doing nothing. He ran a reactivation campaign across them and it brought in revenue without us spending anything on ads. Nothing new was bought, it was all list we already had.

Omar· Founder and managing director

We used to get to enquiries the next morning. Now they get a reply in under a minute, any hour of the day. Our close rate moved for one reason only: we stopped being the second business to answer.

Priya· Head of sales

Every lead needed a website found, a decision maker identified, an address verified. Ten minutes each, by hand. The part I did not expect to care about is watching it run. When something breaks I see it live instead of guessing from bounce rates a week later.

Tom· Sales director

One firm was showing up in our export three times, the owner, a partner, an officer, and Apollo charged us for each. On top of that we were re-buying contacts we had already paid for months earlier. He built a memory across runs so nothing gets bought twice, and collapsed each firm to one contact before the paid call. It was about $24 wasted per thousand contacts.

James· Managing director

Script in, upload-ready cut out, one command. We publish weekly, so that is roughly $270 an episode we are not paying an editor, about $14K across a year. Around ninety per cent of the production now runs without us.

David· Head of content