Somewhere in your freemium base, right now, a user is evaluating you for their whole team, and your funnel is treating them like everyone else. The freemium-to-demo motion is about catching that moment: noticing when a self-serve user's questions turn commercial, and offering a conversation at exactly that point, not before, not never.
Why is this handoff so badly served today?
PLG teams ration sales attention by crude proxies, company size from an email domain, a pricing-page visit, a PQL score, and the proxies fire late or wrong. The user researching SSO options in your docs at 9 p.m. is invisible to all of them. Meanwhile the classic interventions are either too heavy (an SDR email that reads as an ambush of someone who chose self-serve deliberately) or too light (a "talk to sales" link that asks the busiest person in the evaluation to do the work). The result: expansion-ready users self-serve badly, stall on unanswered commercial questions, and either downgrade their ambitions or evaluate a competitor who talked to them.
What signals actually mark the moment?
Behavioral, not firmographic. Commercial questions in-product: seats, roles, security reviews, plan limits, procurement. Scale behavior: inviting teammates, hitting free-tier ceilings, testing admin features. Evaluation behavior: docs pages about SSO, compliance, or API limits, the reading pattern of someone building an internal case. A live agent inside the product sees these as they happen, because it's already the thing users ask questions to, and can distinguish "curious" from "assembling a purchase" by what's being asked.
What does the right-sized intervention look like?
A conversation, offered in context, on the user's terms. The agent answers the commercial question it was actually asked, properly, with published-plan facts, then offers the next step sized to the signal: a deeper walkthrough of the team features, a summary the user can forward internally, or a meeting with a human when the deal shape warrants one, booked in the session with the context attached. No ambush email, no cold restart with an SDR who doesn't know what the user already built. The user experiences it as the product being helpful, which is the only version of sales-assist PLG users accept.
How do you measure the motion?
Sales-assist pipeline sourced from in-product conversations, conversion of flagged accounts versus proxy-scored baselines, and time from first commercial signal to first meaningful conversation, the number that used to be "weeks or never." (Disclosure: we build Skippr; its agents work inside the product where these signals live, and the free-pilot economics mean you can test the motion on your own base before believing anyone's math.)
Questions buyers actually ask
Won't conversations annoy users who chose self-serve?
Ambushes annoy them. Answers don't, the motion responds to questions users already asked, and offers more only when signals say more is wanted.
How is this different from PQL scoring?
Scores rank accounts for humans to chase later. This answers the user at the moment of intent, and books the human only when the conversation earns it.
Does it work without a sales team?
Yes, the same motion can route to founder time, which is scarcer still, and arrives with the full context attached.
See it rather than read about it
The difference between a recording and a live agent is hard to argue and easy to watch. Fifteen minutes is enough to judge whether it fits your motion.