A Buying Signal Is a Reason to Investigate, Not a Reason to Call
A new executive joins your target account.
The CEO talks publicly about margin pressure.
The company announces an acquisition or major strategic initiative.
Those are signals.
By signal, I mean public evidence that something changed inside the account.
That doesn’t mean there’s a sales opportunity.
It means you may have a reason to look harder.
Your job is to figure out what changed, whether it matters, and who owns the consequence before deciding whether outreach makes sense.
Fit tells you where to look. Change tells you where to look harder.
Most prospecting starts with fit.
Industry. Revenue. Employee count. Geography. Technology stack.
Those criteria can help identify companies that could buy from you.
They don’t tell you why they might change now.
That’s where signals become useful.
Suppose a company publicly commits to improving operating margins.
If you sell something that reduces cost, that sounds relevant.
But “margin improvement” is still several steps away from an opportunity.
You need to understand:
What changed?
Is the company under new pressure to improve margins?
What’s the consequence?
Which costs, processes, or performance measures may be affected?
Who owns it?
Which executive or operating leader is accountable?
Where might you help?
Can your solution credibly affect that outcome?
Now you have a hypothesis worth testing.
A signal isn’t the business case
A new CISO doesn’t automatically need your security platform.
An acquisition doesn’t automatically create a need for your integration services.
An AI announcement doesn’t mean the company is ready to fund another AI project.
The job isn’t to prove your product fits the signal.
It’s to understand the business consequence behind it.
I use a simple progression:
Signal → What changed → Business consequence → Owner → Hypothesis
The hypothesis is where outreach can become useful.
Suppose management has publicly committed to integrating two operating groups after an acquisition.
That still doesn’t mean they need your solution.
But if your product addresses a process both groups must standardize, you now have a credible reason to investigate further.
Follow the money, risk, or performance
The most useful signals eventually connect to something the business measures.
Usually that means:
Revenue
Cost
Risk
Capacity
Customer performance
Strategic commitments
Public sources can help you understand what leadership has said matters.
The point isn’t to impress the prospect by citing a filing.
It’s to form a better hypothesis.
You might ask:
“Your leadership team has talked publicly about reducing operating costs this year. Is the workflow we’ve been discussing material enough to contribute to that goal?”
That’s very different from saying:
“I know you have a problem.”
You don’t.
You have evidence that something matters and a hypothesis about where you might help.
Let the customer validate the rest.
Separate fact from inference
AI can make this research much faster.
It can summarize filings, earnings calls, interviews, job postings, and other public information.
That’s useful.
It can also make weak assumptions sound convincing.
So separate what you know from what you infer.
Verified fact: The company publicly announced a cost-reduction target.
Strong inference: Operations leaders are likely under pressure to contribute.
Weak inference: A specific workflow may be part of that effort.
Hypothesis: Your solution could materially improve that workflow.
The stronger the inference, the more directly it is supported by public evidence.
Only the first statement is a fact.
The rest need validation.
That distinction keeps good research from becoming fake personalization.
Use signals to prioritize, not manufacture urgency
The bigger value of signals isn’t a cleverer cold email.
It’s deciding where to spend your time.
If two accounts both fit your ICP, but one has publicly committed to an outcome your solution may affect, that account deserves deeper investigation.
That doesn’t mean it will buy.
It means you have a better reason to find out.
Before reaching out, ask:
What actually changed?
What measurable consequence could it create?
Who is likely accountable for that consequence?
Why might our solution be relevant?
What still needs the customer to validate?
If you can answer the first four and stay honest about the fifth, you probably have a useful hypothesis.
Then decide whether it’s strong enough to justify outreach.
Not because the signal proves they need you.
Because you have a credible reason to start a conversation.
Fit tells you who could buy.
Signals tell you where to investigate.
The customer tells you whether there’s actually a deal.
About Mark Phinick
Mark Phinick is a B2B Deal Coach who coaches founders, sales leaders, and reps on live deals to increase conversion, deal size, and ARR.
He helps teams uncover what’s keeping customers from deciding, quantify financial impact, strengthen the business case, and equip champions to build internal support when the seller isn’t in the room.
Bring me the deal that’s not moving.