Signal data is only useful inside context. On its own, a signal is just as likely to mislead you as to help you.

Say a prospective account posts five new marketing roles. If you sell something related to marketing, that looks like a clear signal worth acting on. Reach out now, they are clearly expanding.

Maybe. Or maybe not.

## The questions a snapshot cannot answer

Before you treat those five roles as a reason to reach out, you have to ask:

- Do they hire five marketing people every quarter? Every year?
- Is there an actual change in the rate at which they hire for marketing, or is this normal for them?
- Is this a new expansion that could be signaling a much bigger transformation inside the company?

You cannot answer any of that from the job postings that are open today. Today's postings are a snapshot. The snapshot tells you what is happening; it does not tell you whether it is unusual.

## History is what makes a signal mean something

To interpret the five roles, you need the last few years of that company's hiring, not just this month's. With the full history, the same five postings become readable.

If they hire five marketing people every quarter, this is routine replacement and not a signal at all. If they have never posted more than one marketing role at a time and suddenly there are five, that is a real shift in how they are spending, and it is worth your attention.

A handful of open roles tells a fraction of the story. The history is what tells you whether you are looking at business as usual or a genuine change. A one-off data point cannot do that, no matter how promising it looks.

## The point

Never act on a signal in isolation. The number of open roles, the funding event, the new hire, none of it means anything until you know what normal looks like for that specific company. Get the baseline, then decide whether what you are seeing is noise or a reason to call.