Your Product Was Already Qualifying Buyers. We Weren’t Listening.

Forwarded to you? I am Heath. I build go-to-market systems and put AI to work in sales, the right way, then I write down exactly what I built, what broke, and what it moved. One story per week, receipts only. This one is about the pipeline that was already sitting in your product.

The reflex: we have all this usage, hand the reps a list

Every team with a product-led motion reaches for the same move. The data is right there. Thousands of weekly active users, a warehouse full of events, and a sales team starving for pipeline. So you pull the active accounts and you hand the reps a list.

I did exactly that. I pulled every domain with weekly usage, dropped it in front of the team, and told them to work it. It failed fast. The reps opened accounts they had no reason to open, wrote emails that said some version of "I see you are using our product," and got nothing back. A list of active accounts with no context is not a warm list. It is a colder cold list, because now the rep is cold and confused about why this account instead of any other.

The block was never strategy. It was data. There was no event map, so usage never turned into context, and with no context there was no motion. The usage just went into a warehouse and died there. It was exhaust.

The AE feels this as "here are the accounts that logged in." The CSM feels it as "here are the accounts where usage dropped." The marketer feels it as "here are the visitors who hit pricing." Same reflex every time: a raw signal, handed off with no reason attached.

The reframe: context turns exhaust into a channel

Product usage is not a lead list. It is a signal, and a signal is worthless until you give it context. The move is not to score every active user. It is to take the loud, useless number and drill it down to the one quiet, specific thing a rep can actually act on.

Raw usage without context is a colder cold list. Context is the whole channel.

Same move, other seats. A CSM stares at "usage is up at this account" and drills it down: which team, which feature, is it the economic buyer or a single IC playing around. A marketer stares at "traffic spiked" and drills it down: which segment, which channel, what intent. The loud number is never the thing you act on. The crux underneath it is.

How the best teams frame it

I am not the first person to argue that usage is the signal. The operators who have built this motion at scale mostly agree on where the leverage is, and it is not the score. It is the context and the play.

SOURCE

Elena Verna, "B2B Product-Led Sales Guide"

What it argues. Product-led sales is not a replacement for PLG, it is a layer on top of it. You do not sell to users, you find the accounts where product-qualified behavior is clustering and you run a human play into them. The behavior comes first, the sales motion is downstream.

My take. Agree, and this is the part teams skip. They stand up a PQL score and stop. The score is the easy 20%. The account roll-up and the play is the 80% that actually books meetings.

SOURCE

Kyle Poyar / OpenView, "Product-Led Sales: An In-depth Blueprint"

What it argues. The winning teams instrument the product first, define the handful of behaviors that correlate with buying, and only then wire sales in. Most teams get the order backwards: they hire the sales layer before the product tells them who to call.

My take. Extend. The order is the whole thing. Map the events before you touch the motion, because a motion built on the wrong events just routes noise faster.

SOURCE

Alexa Grabell / Pocus, "Product-Led Sales Playbook Examples"

What it argues. Qualifying users into PQLs is table stakes. The value is in the playbook: a prescriptive set of plays per signal type, run across sales, lifecycle, and in-product, not a single "reach out" task dumped on a rep.

My take. Agree hard. The reason my first list failed is that it was a list, not a play. The signal told the rep who. It never told them why now, or what to say.

Even a curator has to concede when the field agrees: nobody who has actually built this thinks the score is the hard part. The context and the play is the moat.

The method: Solve, Stack, Split

SOLVE THE CRUX

What is the real problem, framed as work and not a headcount?

The problem is not "we need a PQL score." It is "usage never becomes a reason to talk." So the first work is mapping: which handful of in-product events actually predict a sale. Not every event. The few that separate a buyer from a tourist. For the AE that is the event that precedes a deal, for the CSM the one that precedes a renewal or an expansion, for the marketer the one that precedes intent.

STACK THE CONTEXT

What tech and signals turn a raw event into a brief a human can act on?

Not a shopping trip. The product events live in Snowflake. Common Room enriches the spike with product and community signal so it arrives as an account, not an anonymous user. Deepline scores and routes it. It lands in Salesforce where the rep already works, already enriched, already scored, already carrying a one-line reason. The brief writes itself off the event.

SPLIT · CUT THE DRAG

What low-judgment work goes to the system?

Pull, enrich, score, route. Every spike, every account, every week, with no human in the loop until there is a reason to be. This is the part that never scaled when a person did it by hand, and the part AI does perfectly because it is mechanical.

SPLIT · KEEP THE JUDGMENT

What stays human?

The read and the conversation. The system says this account, this user, this reason, right now. The rep decides if it is the moment and owns the call that closes. One owner on the channel, a weekly review of what converted, and the winning reasons feed back into the score.

The workflow: the board that runs it

Solve, Stack, Split is the shape. Here is the actual board, lane by lane: what the agents run, what stays human, and the tool at each step. Once it is wired, the whole thing runs every week without anyone kicking it off.

The receipt

At a company I was at, a product-led SaaS with a sales team layered on top of a big free base, this is the exact build I ran. Map the events, centralize the signal, put the play on top.

The reps did not work harder. They worked accounts that had already raised their hand inside the product, at the moment they raised it, with the reason in the record. Speed and win rate came from removing the guesswork, not from adding effort.

Both of my receipts are revenue-side. Drop your own workflow in. A CSM turns the same build into an expansion channel: the event that predicts a second team adopting, routed to the account owner. A growth marketer turns it into a lifecycle trigger: the in-product moment that predicts intent, routed to a campaign instead of a rep.

WHAT I LEARNED

1. A list of active accounts is not pipeline. It is a colder cold list until it carries a reason.

2. Map the few events that predict a sale, not every event. Most usage is a tourist, not a buyer.

3. Enrich, score, and route before a human sees it, or the rep drowns in noise and stops trusting the channel.

4. The product already did the qualifying. The rep's only job is timing and the conversation.

The move this week

Do not build the whole system. Pick the single in-product event that best predicts a sale in your motion. Pull the next five accounts that hit it, add one line of context to each, which team, which user, why now, and route them to a rep or, if you are on the lifecycle side, to a campaign. Watch what converts. That is the channel in miniature, and it tells you whether the full build is worth it before you spend a quarter on it.

Two builds that sit next to this one:

• Scoring the TAM — "You have to score the whole market on one rubric, so a rep can look at any account and know its tier and its next move." The product signal is the loudest input into that score.
• Proactive Retention — "You cannot save a renewal in the last thirty days. You can save it ninety days out, when the signals first turn." Same build, pointed at churn instead of new business.

This is one build from the Build Log. Every week I take one sales or revenue problem, run it through the loop, and show the receipts. If someone forwarded this, the subscribe button is right below. Keep building. Heath.