Why PQLs Fail: Product Activity Isn't User Progress

Slack counts 10,000 messages, Facebook counts 7 friends, Drift counts 100 website conversations — the canonical PQL thresholds all measure the same wrong thing: activity instead of ability. That's the core argument of a growing critique of Product Qualified Leads (PQLs), the freemium qualification model that replaces marketing-qualified leads with in-app behavioral signals. The verdict: PQLs, as defined today, fail as both a conversion tool and a retention lever.

The promise is real. HubSpot's Chris O'Donnell frames the PQL as "selling the product to folks who understand the offering and are potentially already happy." Product-Led Growth author Wes Bush goes further: "PQLs align teams to focus on helping users become successful in the product... if you embrace the PQL model, you'll have more successful users and more upgrades as a result."

What's wrong with behavioral triggers?

The problem, simply put: activity doesn't always mean progress.

Stan Massueras skewered the older model: "How qualified is someone just because they filled out a form or opened a few emails? MQLs and SQLs are remnants of the early days of SaaS when the needs of the customer took a backseat to the internal priorities and processes of the company." But strip away the MQL comparison and his objection still lands. How qualified is someone because they signed in four times in a row or bumped into a data limit?

Alan Klement of the Jobs To Be Done movement defines progress as "the process of making changes in a positive direction" — and it's new abilities, not usage counts, that make those changes possible. The critique's memorable framing: PQLs track users who eat the flower, but what you need to know is whether they can now throw fireballs.

Dr. Tom Tomkin, Senior Principal at Cornerstone OnDemand, illustrates the gap with an actor friend who learned one song's finger placements for a play — and couldn't play a different song in a different key. His test: "Simply change the context. The skills will be transferable, the behavior will not."

Where the model breaks in practice

Two failure modes surface repeatedly:

• Behavior is not a proxy for ability. A team hit Mailchimp's 2,000-subscriber free limit two months in — not through email marketing skill, but because a viral post tripled their sends overnight. Mailchimp's PQL logic flagged them for advanced insights and optimization reports they didn't know how to read.
• Past benefits don't imply future ones. A team launching the first Airbase site on Webflow hit a paywall fast but couldn't pick a plan: core-feature fluency didn't prepare them for the developer API, CMS options, or the Editor/Developer role split. WaveApps shows the same trap in reverse — its four-step invoice onboarding teaches the motion, but writing an effective dunning schedule requires understanding how billing timing affects credit card declines, knowledge the onboarding never builds.

Do HubSpot's PQLs survive the test?

HubSpot, a PQL pioneer, runs three variants: Usage PQLs (CTAs triggered by product usage), Upgrade PQLs (users hitting a locked feature), and Hand Raise PQLs (users requesting help on high-conversion features). The teardown finds fault lines in all three:

• Usage PQLs conflate behavior with ability — exhausting 10 free marketing reports says little about readiness to build custom ones.
• Upgrade and Hand Raise PQLs assume past success guarantees future success; using the chatbot doesn't qualify anyone for the full content suite.

The critique's sting: "product activity" as a sales-call qualifier is too close to the website activity PQLs were meant to replace.

What actually retains users

Without knowing which features users tried, whether they helped, and what comes next, the best you can offer self-sufficient users is an Upgrade button — instead of a path to their next goal. Kathy Sierra's Badass: Making Users Awesome states the stakes: "If [users are] no longer moving up and to the right... their enthusiasm for their new abilities and results will slowly fade." Users who stop gaining skills churn; for everyone except the self-motivated, each product update becomes spray and pray, and the product slides toward commodity.

Samuel Hulick's line is the counter-model: "When we create software, we're not creating a tool, we're creating an environment for accomplishment." As product-led growth matures, the next qualification signal will measure learned capability, not logged activity.