Question
Which of the signals in your CRM predict nothing.
A CRM signal is noise when it looks the same on deals you won and deals you lost. Reply speed, email opens and meeting count are common examples that teams trust and rarely test. The check is to compare how often each appears on wins against losses, using activity from before each deal ended.
What noise looks like.
A signal is noise when it appears about as often on lost deals as on won ones. It can feel meaningful and be measured precisely and still carry no information about the outcome.
The usual suspects.
Email opens, which often reflect an image loading rather than a person reading. Reply speed, which varies with the buyer job and habits as much as their interest. Raw meeting count. Marketing engagement such as a webinar attended or a document downloaded. Any of these can matter in your pipeline. Many do not.
How to test each one.
For every signal, count how many of your won deals had it before they closed, and how many of your lost deals did. Divide each by the number of deals in its group. If the two rates are close, the signal is noise. If they are far apart, it deserves weight.
Why finding noise is useful.
Removing a noise signal from a score makes the score better immediately, because the points it was handing out were random. It also shows you which workflows, alerts and sequences are firing on something that does not matter.
Questions
How do I know which CRM signals are useless?
Compare how often each signal appears on your won deals with how often it appears on your lost deals, using activity from before each deal ended. A signal with a similar rate on both sides carries no information, however sensible it sounds.
Does email open rate predict a closed deal?
Often weakly or not at all. Opens can reflect an image loading or a security scanner rather than a person reading, so the count says less than it seems to. Test it on your own closed deals before giving it weight.
Is reply speed a good sign that a deal will close?
Reply speed depends on the buyer role and habits as much as their interest, so it is frequently noise. In some pipelines it separates wins from losses and in others it carries nothing. Only your own closed deals can say which.
What should I do with a signal that predicts nothing?
Give it no weight in your deal score and stop building alerts and sequences on it. A noise signal hands out random points, so removing it improves the score without adding anything.
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Related reading
Do more meetings mean a deal is more likely to close?
Meeting count is one of the most trusted sales signals and one of the least tested. Why it can point the wrong way, and how to check yours.
Running a win loss analysis from what is already in your CRM
You do not need interviews to learn why deals close or die. Most of the answer is in the activity your CRM already holds. How to pull it.
Checking whether your deal score is any good
A deal score is only accurate if the deals you won scored higher than the deals you lost, before they ended. How to check yours in an afternoon.
Why nobody uses the HubSpot deal score
HubSpot ships a predictive deal score with Sales Hub Professional, and its own documentation says not to rely on it. Why that matters.
Reviewed September 20, 2026 against the product as it behaves today.