Is one signal enough?
Sales teams often ask a simple question:
“How many buying signals should we see before reaching out?”
The assumption behind the question is understandable. If more signals mean a higher chance of success, then there must be an ideal number.
In reality, outbound doesn’t work that way.
The goal isn’t to collect as many buying signals as possible. It’s to understand whether the available evidence creates enough confidence to start a relevant conversation.
Imagine these two situations.
One company has published five job openings for software engineers.
Another has hired a new Chief Revenue Officer, announced expansion into two countries, and is rebuilding its sales organization.
The first company has more individual signals.
The second company may represent a much stronger opportunity.
Why?
Because buying signals differ in importance.
Some describe routine business activity. Others indicate significant organizational change that often leads to new purchasing decisions.
Counting signals without considering their meaning can produce misleading priorities.
Look for connected evidence
Buying signals become more useful when they reinforce each other.
For example, consider a company that:
- announces a new product line,
- hires several account executives,
- expands into a new market.
Each event is valuable on its own.
Together, they tell a clearer story.
The company appears to be entering a period of growth, making it more likely that new tools, partners, or processes will be evaluated.
Instead of asking, “How many signals do we have?”, ask, “What story do these signals tell?”
Confidence matters more than certainty
Many sales teams wait until they feel certain a prospect is ready.
Unfortunately, certainty usually arrives too late.
By the time a company publicly requests proposals or actively compares vendors, competitors are often already involved.
Signal-based outreach works differently.
It accepts that sales decisions involve uncertainty.
Rather than waiting for perfect proof, it uses observable evidence to identify companies with a higher probability of engaging.
The objective is not to predict every purchase correctly.
It is to consistently make better decisions than random prospecting.
Build a scoring approach, not a checklist
Instead of requiring three signals, five signals, or any fixed number, many organizations assign different levels of importance to different types of evidence.
For example:
- Strategic leadership changes may deserve a higher score than routine hiring.
- Market expansion may carry more weight than a single product update.
- Multiple related events may increase confidence more than isolated activities.
This creates a prioritization system rather than a simple checklist.
Evidence-Based Outreach follows this principle by evaluating the overall strength of available evidence instead of relying on one predefined threshold.
Why context always wins
A funding announcement might be a strong buying signal for one business.
For another, it may be almost irrelevant.
The value of a signal depends on what you’re selling.
A company investing heavily in customer support could be highly relevant for a help desk software provider but less relevant for a cybersecurity consultancy.
This is why buying signals should always be interpreted alongside Company Fit and the broader business context, rather than treated as universal indicators.
Platforms like Leadyra apply this principle by evaluating different types of evidence together before prioritizing outreach, helping sales teams focus on companies where the overall picture suggests stronger buying readiness rather than reacting to isolated events.
Better outreach starts with better judgment
There is no magic number of buying signals that tells you when to send an email.
The strongest outbound programs don’t optimise for quantity, they optimise for confidence.
Instead of counting events, they evaluate relationships between them, consider business context, and prioritise companies where multiple pieces of evidence point in the same direction.
The question isn’t, “Have we collected enough signals?”
A better question is: “Do we understand enough about this company’s situation to start a conversation that feels relevant?”
That shift from counting signals to interpreting them is what makes Evidence-Based Outreach more effective than traditional volume-driven prospecting.
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Author
Karolina Hlavova
Growth Specialist at Leadyra | We Run Evidence-Based Outreach, You Just Close
Leadyra scores company fit (0 - 100%), timing fit (0 - 100%), people fit (0 - 100%) before any Email or LinkedIn outreach even happens.
Growth Specialist at Leadyra | We Run Evidence-Based Outreach, You Just Close
Leadyra scores company fit (0 - 100%), timing fit (0 - 100%), people fit (0 - 100%) before any Email or LinkedIn outreach even happens.