Pipeline Conversion Engine
Cut the MQL-to-SQL drop by targeting accounts that look like your winners, then personalising every message.
A Head of Growth
at a Series C B2B SaaS scale-up (infrastructure software)
North America & EMEA
Forsyt Labs
A Revenue Community perk
Marketing was hitting its MQL number every quarter and sales was quietly furious, because barely a third of those MQLs ever became SQLs. The Head of Growth was convinced the leak was not the volume, it was the mix and the message: too many off-ICP accounts, and outreach that read like a mail merge. She wanted a tool that started from the customers they already won, found more that looked like them, scored them honestly, and then wrote to the actual humans on the buying committee like it knew them. That is Pipeline Conversion Engine.
Seed with domains you already win, set floors and restrictions, and generate a scored, graded list of lookalike accounts.
Every account ranked with a fit score, priority band, tech-stack tags, and an A-to-F grade, so reps work the best fits first.
A per-person personality read turns into say / avoid / decision-driver guidance and a one-click personality-aware email.
Overview
Pipeline Conversion Engine attacks the MQL-to-SQL drop-off in one flow. It learns your ICP from the customers you already win, builds a lookalike account list, scores and grades every account for fit, and then, for the specific people you choose to reach, generates personality-aware, personalised messaging. Fewer wrong accounts in the funnel, sharper outreach on the right ones.
Why we built this
The MQL-to-SQL stage is where most B2B pipelines silently bleed. Two causes dominate: reps work accounts that were never a real fit, and they send outreach generic enough to ignore. Pipeline Conversion Engine addresses both in sequence, right list, then right message, instead of treating them as separate tools bolted together. Because it starts from your closed-won data rather than a generic template, "good fit" means good fit for you, not for the industry average.
How it works
- 01Learn from your winners
Feed Pipeline Conversion Engine up to five domains of accounts you already win. It reverse-engineers the shared shape, firmographics, tech stack, size, region, and uses that as the seed for what a great-fit account looks like.
- 02Build the right list
Set floors and restrictions, minimum revenue and headcount, target locations, industries, and how deep to search. Pipeline Conversion Engine generates a scored list of lookalike accounts. Every row carries a fit score, a grade, and the tech-stack tags that matter to your play.
- 03Score and prioritise
Accounts are ranked and graded (A to F) with a fit score and priority band, so reps work the P0 A-grades first. Export to CSV or save and score into the workspace to keep them live.
- 04Personalise to the person
For the specific people you select to message, Pipeline Conversion Engine builds a personality read (dominance, influence, steadiness, calculativeness) and turns it into concrete guidance, what to say, what to avoid, and the decision drivers, then drafts a personality-aware email in one click.
Capabilities
- Lookalike list built from your own closed-won accounts, not a generic ICP template.
- Fit score plus A-to-F grade and priority band on every account.
- Tech-stack and intent tags surfaced per account for play targeting.
- Floors and restrictions: revenue, headcount, geography, industry, search depth.
- Per-person personality read (DISC-style) with say / avoid / decision-driver guidance.
- One-click personality-aware email drafting for the people you choose to contact.
- Save & score into the workspace or export the whole list to CSV.
Sources
Pipeline Conversion Engine draws on the sources below. Nothing is a black box.
- Your closed-won accounts (ICP seed)
- Firmographic & technographic providers (lookalike expansion)
- Public professional profiles (personality inference)
- Company website & tech-stack detection