About ProspectLab
Our Founder's story /
I spent years running outbound campaigns for B2B companies. The pattern was always the same: upload a list, write a template, mail-merge some fields, hit send. The emails were technically personalised but practically identical. Reply rates told the story.
The problem was never the sending. It was everything upstream of it. Who exactly are we targeting? What specific problem do they have? What are we offering that is worth fifteen seconds of their attention? Most teams skip these questions entirely and jump straight to writing copy.
ProspectLab exists because I wanted a system that forces the strategic thinking before the first email is drafted. One that enriches every prospect with real company intelligence, discovers the natural segments in a list, and assembles emails anchored to observable facts rather than guesswork.
The result is a platform where a single prospect list becomes six targeted campaigns, each with its own hypothesis, its own copy, and its own reason to exist.
"Most outbound platforms optimise sending volume. We optimise the campaign strategy behind it."
Strategy before copy
A weak campaign hypothesis produces weak emails regardless of how polished the copy is. ProspectLab addresses this upstream.
Kat, the AI campaign strategist, walks you through who you are targeting, what specific problem they have, and what concrete offer is worth their time — before a single email is composed.
Personalisation anchored to facts
Every prospect is enriched with company heritage, case studies, hiring signals, and recent news. Emails reference real, observable things about the company — not generic flattery.
Each prospect is scored for enrichment quality. You always know exactly which emails are proof-led and which fall back to clean generics.
Deterministic, not generative
After the composition phase, the AI steps aside. Email assembly is entirely deterministic — no LLM sits in the delivery path. 400 prospects produce 400 unique sequences assembled in seconds.
The output is consistent, testable, and cost-predictable. Every claim in every email is traceable to enrichment data. There are no hallucinations in the output.