An 82% Deal Score Built on Your Own Activity Costs You

Your deal is scored at 82%. It feels like good news, and you plan to say so on the forecast call. But ask a harder question first: how much of that 82% came from the buyer, and how much came from you?

Most reps assume a high score means the buyer is moving. Often it means the rep is moving, because emails sent, meetings booked and a stage you set yourself all feed the number. If the score rests on your own effort, you can commit a deal the buyer never agreed to.

J Moss, who writes the GTM AI Podcast newsletter, names the risk in a piece on building a better chain of evidence. "The system can appear successful by producing bad work faster," he writes.

A deal score is a good example. It arrives fast and looks certain, and nothing in the number tells you whether the evidence under it came from the buyer or from you. Below is one worked deal and a one-minute habit that shows you which kind you have.

A Score Built on Your Effort Slips Your Commit

If you're an AE, this is where commit slippage starts. You call a deal because the score is high. Your manager rolls it up because you called it. Then the buyer goes quiet in week three, and you learn the score was mostly counting your follow-ups.

Your forecast accuracy takes the hit, not the tool's. And the next time you bring a high score to the call, it carries less weight. Your manager starts to discount your whole list, including the deals that are real.

If you manage a team, the same pattern shows up in the roll-up. A column of 80s looks like a strong quarter. But if most of those scores rest on seller activity, the quarter is only as strong as your reps' calendars.

Tracing One Score Back to the Buyer

I read a deal score as the last link in a chain. Each link is a piece of evidence the model used, and the score blends them into one number without saying which came from the buyer. A chain made mostly of your own activity measures your effort, and it says very little about the buyer's intent. So the useful question is where each link came from, and how old it is.

Picture Maya, an AE with a $140K deal at Northfield Logistics. The tool scores it at 82%. She opens the score's drivers and finds four of them.

The first is email activity: 14 emails in the last 30 days. When she looks closer, 11 of those came from her. The three replies came from one person, her champion, Dana.

The second is meetings: three in the last month. Two were demos Maya scheduled. One was a call with Dana's IT lead that Maya set up to answer security questions.

The third is stage. The deal sits in Proposal because Maya moved it there after sending pricing. Nobody on the buyer's side has said the pricing works.

The fourth link is the only one that came from the buyer. On September 9, Dana said on a call that her team wants the system live by January. That's real evidence. It is also four weeks old.

So the 82% rests on one buyer statement from a month ago and three measures of Maya's own work. None of this means the deal is bad. It means the score is mostly a record of Maya's effort.

There's a reason for this, and it isn't a flaw in the tool. Much of a deal never reaches the CRM. It happens in a hallway after a meeting, in a text from Dana, on a call nobody recorded. The model can only weigh what was logged, and what gets logged is mostly what the seller does.

That makes the score directionally useful. It can tell Maya the deal is active and worth her time. It can't tell her whether Northfield has agreed to anything. Only people can confirm that, and only by checking with the buyer as the deal moves.

Count the Buyer's Links Before You Commit

When a scored deal comes up in this week's pipeline review, open its drivers and sort each one: the buyer said it, or we did it. It takes about a minute per deal. Note how old each buyer driver is, then say the count out loud.

"Northfield is at 82%, but only one of its four drivers came from the buyer. Dana said on September 9 they want to go live in January. The other three are my activity."

If no driver came from the buyer, say so:

"I can't point to anything the buyer has said behind this score yet. It's built on my outreach. I'm asking Dana to confirm the January date on Thursday."

That count tells you, and your manager, whether the number is measuring the buyer or measuring you.