Atlas Partners · B2B Professional Services · 2025

A lead engine that 3×'d qualified pipeline in one quarter

3.1×

qualified pipeline growth in the first quarter

640

researched accounts delivered monthly

7.4%

positive reply rate, up from 0.8%

92%

reduction in per-lead research time

Challenge

Growth depended entirely on referrals and two partners' networks. Outbound attempts had failed twice: bought lists produced sub-1% reply rates, and manual research made each personalized email cost 25 minutes of an analyst's time.

Solution

We built a continuous engine: sourcing from hiring signals, funding events, and tech-stack data; waterfall enrichment for verified contacts; AI qualification scored against the firm's closed-won history; and auto-generated account briefs attached to every lead in HubSpot before outreach.

Process

01

ICP modeling workshop against three years of closed-won data

02

Sourcing and enrichment pipeline build with quality scoring

03

Research-brief generation tuned with partner feedback

04

CRM integration, routing rules, and closed-loop scoring from outcomes

Stack

PythonClaude APIClayHubSpotInstantly

Managing PartnerAtlas Partners

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