The Lead-Rich Audit
You don't need SaaStr's scale—count your website visitors and untouched CRM leads to see you're already lead-rich.
- Difficulty
- Starter
- Time to result
- ~days to results
- Steps
- 4
- Confidence
- 87%
A quick diagnostic to overturn the 'we're too small for AI agents' objection. Instead of comparing yourself to giant databases, count your actual website visitors, CRM contacts, and leads no human is following up with. Almost any company past a couple million in revenue discovers it's 'lead-rich' — with far more reachable leads than humans are touching. Use it to decide whether AI GTM agents are worth it for a smaller company.
Origin
Lemkin repeatedly hears 'SaaStr has scale, we're tiny, we only have 300 customers.' He counters with a sequence of questions — website visitors, CRM size, leads never contacted — that reveals even a 300-customer company has ~30,000 site visitors and tens of thousands of untouched leads.
Core principles
- 01Customer count is the wrong denominator — total reachable contacts is the right one.
- 02Almost every company past a little scale is 'lead-rich': more leads exist than humans follow up with.
- 03You need only a little scale and a little traffic — far less than you assume — plus a little good training data.
- 04The gap between leads you have and leads a human touches is the AI opportunity.
How to run it
- 1
Ignore your customer count
Set aside the '300 customers' framing — it dramatically understates your reachable audience.
- 2
Count everyone who ever touched you
Ask: how many people have ever visited your website? How many leads and contacts are in your CRM/HubSpot? For 300 customers this is often ~30,000 visitors and tens of thousands of leads.
- 3
Count how many a human is actually working
Ask how many of those leads a human is following up with. The answer is often zero or near-zero — that's your lead-rich gap.
Pro tip Even huge companies (HubSpot-scale) don't call back great leads — reps just don't follow up. That's human nature, not a scale problem.
- 4
Deploy an agent against the gap
If you have any scale (even a couple million in revenue) and some traffic, spool up an agent to work the untouched leads.
Pro tip You also need less training data than you think — a couple months of good content plus a long tail is enough.
Watch out Don't over-index on database size as a blocker; too much data is a solvable ingestion issue, not a disqualifier.
In the wild
Lemkin walks a skeptic through it: 300 customers → 30,000 website visitors → 31,000 in HubSpot → zero humans working them. The prospect has the aha moment that they're lead-rich.
→ Reframes a 'too small' company as a strong AI-agent candidate.
Lemkin argues even Lenny, who replies to all sponsor inquiries but is sold out, would fill six months of inventory if an agent auto-emailed the lapsed and untouched names.
→ Shows the lead-rich gap exists even at well-run, high-brand operations.
Common mistakes
Using customer count as the yardstick
It hides the tens of thousands of visitors and leads that make you lead-rich and agent-ready.
Assuming you need giant scale or years of data
You need a bit of scale, a bit of traffic, and a couple months of good content — not SaaStr's or Lenny's numbers.
Is it for you?
Best for
Smaller-company founders who assume they lack the scale to justify AI GTM agents
Not ideal for
Companies genuinely small enough that humans can personally touch every single lead and visitor
From the transcript
“If you have 300 customers, how many folks have come to your website ever? 30,000.”
“You don't need the scale of numbers that you and I have to make these agents work.”
“unless you're so small that you have sufficient humans to talk with every potential lead”
From the episode
We replaced our sales team with 20 AI agents—here’s what happened
Jason Lemkin (SaaStr)