Buying signal or noise? How to qualify a signal before you reach out

A buying signal is only worth something if it gives you a good reason to write to the right person, now. Many teams do the opposite and track everything that moves: email opens, likes, website visits. They end up with long lists, vague messages and few replies.

Qualifying a signal means sorting before you reach out. Here is the method we use, with the most common false signals and how to turn a signal you keep into an opener.

Why aren’t all signals equal?

Because the same action can mean very different things. A signal is just a trace. It’s the context (who, on what topic, when) that tells you whether it points to a need.

Three kinds of “signals” mostly produce noise:

• Email opens. An email opened three times may come from a security filter testing the links, or from someone clearing their inbox. That isn’t interest, it’s mechanics.
• Popularity metrics. A post seen thousands of times or a one-off like tells you a piece of content is circulating, not that a company has a project.
• Website visits with no context. A student, a job applicant or a competitor leaves the same trace as a buyer. Without knowing who and which page, the visit tells you almost nothing.

There is a lesser-known trap: competitors who like. A real example, at an industrial subcontractor we work with: posts from workshops showing off their new machines are mostly liked by other workshops. In other words, by competitors, not by buyers. Keep those people and you fill your list with people who will never buy. The rule set on that account: we only keep a prospect if their role and company match a real buyer.

Which questions should you ask to qualify a signal?

Before contacting anyone, run each signal through these six questions. A no to any of the first three is enough to set it aside.

1. Can the person buy? Do their role and company match your ideal customer? An operations director, yes. A work-study student, no. A competitor, never.
2. Does the signal relate to the problem you solve? A founder reacting to a post about mental load interests an executive coach, not an accounting software vendor.
3. Is it recent? A reaction three days ago justifies a message. The same reaction four months ago doesn’t.
4. Does it show commitment? Writing takes more effort than liking. A comment asking a question, or a post about a difficulty they are facing, carries more weight than a reaction.
5. Is it repeated or combined? Three reactions on the same theme in two weeks, or a hire plus a new manager in the same team, are worth more than a one-off action.
6. Can you turn it into an opening line about their situation? This is the decisive test. If the signal doesn’t let you write something you wouldn’t send to anyone else, it isn’t helping you.

The sixth question is the one teams forget. A qualified signal is first and foremost a way to write a better message. If it changes nothing in what you are going to say, you are cold prospecting with an excuse.

Strong signal or weak signal: how do you rank them?

The table below gives an order of magnitude. Always read it alongside questions 1 and 2: a strong signal from the wrong person is still noise.

Signal	What it may point to	Level	What to do
One-off like on a post about your topic	Curiosity	Weak	Keep an eye on it, don’t write on that alone
Repeated reactions on the same topic	A topic on their mind	Medium	Write if the role matches
Comment asking a question	A problem they are thinking through	Strong	Write quickly, on the topic of the question
Post about a difficulty they are facing	A recognised need	Strong	Write starting from their situation
Reaction on a competitor’s or market player’s post	A comparison under way	Strong if right role	Write without naming the competitor
Hire linked to your offer	A funded project	Strong	Write to the head of the hiring team
Recent new role	A review of suppliers	Strong in the first months	Write about their first projects
Email open, anonymous visit	Nothing reliable	Noise	Ignore as a trigger

For a fuller list, see our 25 examples of B2B buying signals, and for the two most common cases, job postings and job changes.

Do you need a score, and how do you build a simple one?

Classic points-based scores (10 points for a white paper, 5 for an email open) have two flaws. They treat every action the same way, whatever the profile. And they accumulate: a contact can become “hot” by piling up points over six months when their interest died out long ago.

Predictive scoring fixes this by learning from won and lost deals. But it needs a large, clean history in the CRM. Most SMEs don’t have one, and a model trained on thirty deals gets things wrong with great confidence.

For an SME, three levels are enough:

• Contact today: right profile, right topic, strong and recent signal.
• Keep an eye on: right profile, weak signal. Wait for it to repeat or combine.
• Set aside: wrong profile or off-topic, however strong the signal.

What makes this sorting better over time isn’t an algorithm, it’s a feedback loop: record, for each type of signal, how many messages got a reply and how many led to a meeting. After a few weeks, you know which signals to keep.

How do you turn a qualified signal into an opener?

A well-qualified signal isn’t quoted back. You don’t say “I saw you commented”. You talk about the topic that prompted the action, from the prospect’s point of view.

Illustrative example. Signal: the finance director of an 80-person SME comments on a software vendor’s post about e-invoicing and asks how to manage several entities in the same tool.

Opener that falls flat: “Hi Claire, I saw your comment on [vendor]’s post. We offer a complete invoicing solution. Can we book 30 minutes this week?”

Opener that gets a reply: “Running e-invoicing across several entities is often where current tools get stuck: one entity goes through, the other doesn’t. Are you adapting your current tool, or looking to change it?”

The first version quotes the signal, talks about the seller and asks a stranger for a meeting. The second picks up the problem she raised herself and asks a question she can answer in one line. That reply is what opens the conversation, then the meeting.

What should you measure to know if your qualification works?

The right indicator isn’t the number of signals detected, nor the open rate. Track, for each type of signal:

1. the reply rate;
2. the share of positive replies (interest, a question, a request for information);
3. the number of meetings booked;
4. the share of those meetings held with a real decision-maker.

The fourth figure is often the most revealing. Signals that produce lots of replies but meetings with people who don’t decide cost time and bring nothing back. To find the right person before you write, read who really makes B2B buying decisions.

That is the work MeetMagnet does on LinkedIn: spot, every day, the interactions and posts linked to your offer, set aside profiles that aren’t buyers, then write the opener from the signal. On the Assisted plan, this calibration with a real person means someone reviews the results with you and adjusts the signals being tracked according to what actually produced conversations. The detail of the signals that can be spotted on LinkedIn is on the LinkedIn page of our sources, and all the others on how to detect buying signals.