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martinkrizan.com / aarrr / pql-scoring-sales-handoff

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PQL scoring & sales handoff

Scoring in-product behavior to spot self-serve users ready for a sales conversation, and handing them off fast.

A defined threshold of product usage (a fit score for company size/industry plus an activity score for engagement) that flags a self-serve account as ready for a human sales conversation, paired with a fast, well-defined handoff process between the product-led motion and the sales or CS team that owns the follow-up.

Why this ring

One of the most battle-tested mechanics in hybrid PLG-plus-sales SaaS, with a clear, replicable definition (usage threshold → score → handoff) and strong response-time data backing it — the main failure mode is execution speed, not the concept itself.

SaaS fit

Best suited to self-serve/PLG products with a genuine expansion or enterprise upsell path; adds little for pure bottom-up products with no sales-assisted tier at all.

How to apply it

When to apply: You have reliable product event data and can point to a specific usage pattern that correlates with accounts likely to buy or expand.

First steps: Define a PQL threshold tied to a real value moment (not a vanity action), combine it with a basic firmographic fit score, and route qualifying accounts to sales within an hour, not a day.

Pitfalls: A handoff with no shared definition between product, marketing and sales teams means everyone routes leads differently; responding after 24 hours instead of within 1 hour collapses conversion from roughly 53% to 17%.

Metrics to watch: PQL-to-opportunity conversion rate, time from PQL trigger to first sales touch, and win rate of PQL-sourced deals versus outbound-sourced deals.

Resources

Who does it well

  • SlackFlags an account as a PQL once it exceeds 2,000 messages within two weeks — a threshold tied directly to experiencing the product's core value.
  • DropboxUses uploading a file within the first hour of signup as an early PQL signal of real intent to use the product for storage.