Back to Blog
Revenue Growth

How I Scaled Warmly.ai to $7.5M ARR Using AI-Powered GTM

November 15, 2024
7 min read
How I Scaled Warmly.ai to $7.5M ARR Using AI-Powered GTM

The exact outbound infrastructure, signal routing strategy, and AI agent stack we used to build a repeatable pipeline machine.

The Starting Point

When I joined Warmly.ai, the team was doing great product work but pipeline was inconsistent. The challenge: turn sporadic outbound into a predictable revenue engine.

The Framework We Built

1. ICP Precision

We stopped spraying and praying. We mapped 3 tiers of ICP using firmographic + technographic + intent signals from Clay.

2. Signal-Based Routing

Warmly's own product gave us a huge edge โ€” we could see who was visiting the site, researching the category, and showing buying intent. We routed those signals directly into personalized sequences.

3. AI Agent Automations

We built Clay tables that auto-enriched leads, wrote personalized first lines, and sequenced them through Instantly โ€” all with less than 30 min of human time per 1,000 leads.

Results

In 18 months: $0 โ†’ $7.5M ARR, 40% of pipeline from outbound, 22% reply rates on cold email.

Key Lessons

  • Speed wins: The team that responds fastest to intent signals wins the deal.
  • Personalization at scale is a Clay problem, not a human problem.
  • AEO matters: Getting Warmly into the AI answer layer drove massive inbound lift.

Found this useful? Let's talk about your GTM.

Book a Free Call โ†’