"Why Two Seemingly Identical Companies Have Completely Different Probabilities of Making a Purchase"
Two companies may look nearly identical on paper—yet only one of them may actually be ready to buy right now.
Many sales organizations invest a great deal of time in defining their ideal target audience. They specify the industries in which potential customers should operate, how large these companies must be, what revenue they generate, how many locations they have, and which contacts are relevant.
The more precisely this profile is defined, the greater the hope, usually, that it will result in a particularly accurate selection.
The logic behind this is understandable: If we can describe our ideal customer precisely, we should also know exactly which companies are most likely to buy.
But this is precisely where the illusion begins.
A precise target audience profile can very well explain who is generally a good fit for an offer. However, it can hardly reliably predict who is currently in a situation where an investment is likely.
After all, the likelihood of a purchase does not arise solely from company characteristics.
It arises from a company’s current situation.
Similarity does not necessarily mean the same starting point
Let’s imagine two medium-sized manufacturing companies.
Both employ around 300 people. Both generate approximately 80 million euros in revenue. Both produce technically sophisticated components, operate at multiple locations, and belong to the same industry.
From the perspective of a traditional target audience definition, they are nearly identical.
Both meet the established criteria. Both fit the Ideal Customer Profile. Both would likely receive a similarly high rating on a target customer list.
However, a closer look reveals a completely different picture.
Company A has just acquired a new major client. Production volumes are rising, existing processes are coming under pressure, and it’s difficult to find additional skilled workers. Management is therefore exploring how certain processes can be automated and capacities expanded.
Company B is operating steadily, has already finalized its investments for the current year, and is focusing on maintaining existing structures with as few changes as possible.
On paper, both look the same.
In reality, only one is in a situation where a new solution could currently be relevant.
The target audience is identical.
The likelihood of purchase is not.
Target audiences describe structure, not dynamics
Traditional target audience characteristics are predominantly static. They describe industry, size, revenue, location, or business model.
This information is helpful because it shows whether a company might be a good fit for your offering in principle. A provider of industrial automation is unlikely to find a suitable target audience in a small tax consulting firm. A manufacturer of specialty machinery will target different markets than a provider of HR software.
The structure of a company therefore remains important.
However, it does not explain what is currently happening within that company.
A company may be growing, stagnating, or shrinking. It may be entering new markets, halting investments, changing processes, or replacing existing technologies. It may be under significant pressure to act or see no reason for change at all.
These dynamics often have a greater impact on the likelihood of a purchase than simply belonging to a target audience.
The traditional target group asks:
Does this company fundamentally align with us?
For robust prioritization, however, the sales team also needs a second question:
Why should this company act right now?
Even the perfect profile can still lead to the wrong customer
A company can meet all the criteria of the ideal customer and still be completely unattractive at the moment.
Perhaps their budget has been frozen. Perhaps they’ve just signed a long-term contract with a competitor. Maybe an internal reorganization is underway that’s delaying new projects. Perhaps the topic that’s central to the provider simply isn’t a priority within the company.
Conversely, a company that doesn’t exactly match the ideal profile can suddenly become highly interesting.
It may be slightly smaller than anticipated, but is opening a new location. It belongs to a related industry but has exactly the process that your offering can improve. Or it may not meet all the formal criteria, but is under such intense pressure to change that a quick decision is likely.
A rigid target audience model can hardly capture such differences.
It rewards formal similarity.
However, it does not automatically recognize actual relevance.
The likelihood of a purchase stems from several factors
Whether a company actually makes an investment usually depends on several conditions occurring simultaneously.
First, a relevant need must arise. A process is too slow, a piece of equipment is too prone to breakdowns, a regulation must be implemented, or a growth target must be met.
Then this task must be given sufficient priority. Companies almost always have more problems than budget. Not every identifiable challenge therefore immediately leads to a project.
Added to this are internal prerequisites. Is there a person in charge? Is the budget generally available? Is there a willingness to make a decision? Are there existing suppliers, technical specifications, or internal resistance?
And finally, timing plays a decisive role.
One company may have a need in principle, but it may still be too early. Another has already made the decision and it’s too late for a new provider.
The likelihood of a purchase therefore does not stem from a single factor.
It arises from the interplay of fit, change, pressure, priority, decision-making capacity, and timing.
Two companies, two completely different realities
Let’s take the example of a provider of energy management solutions.
Its target audience consists of energy-intensive manufacturing companies with multiple locations and high annual energy consumption.
Two companies fit this profile almost perfectly.
Company A significantly reduced its energy costs two years ago through new equipment, long-term supply contracts, and modern monitoring systems. The issue is largely resolved internally.
Company B is facing sharply rising costs, must comply with new reporting requirements, and has just hired a new sustainability manager.
Both companies belong to the same target audience.
Nevertheless, they differ fundamentally from the perspective of the same provider.
For Company A, reaching out at this point would likely be too late or of little relevance.
For Company B, several factors converge: economic pressure, regulatory requirements, new responsibilities, and a clear need for action.
This example illustrates why a target audience alone does not provide a reliable basis for prioritization.
It shows who might be a good fit.
It does not show where the likelihood of a project is currently highest.
The Ideal Customer Profile is only the first level
In sales, the Ideal Customer Profile is often treated as if it were already the definitive answer to the question of who the best target customers are.
In fact, it’s just the first level.
It describes the fundamental fit between a company and its own offering. This includes, for example, industry, size, technological requirements, business model, or geographic location.
This level is necessary. Without a fundamental fit, even a strong signal does not automatically translate into a meaningful opportunity.
But after that, a second level is needed: the current need situation.
This involves identifying what is changing, what task arises from that change, and whether that task aligns with your own offering.
A third level concerns the likelihood of action. This includes priority, budget, responsibility, decision-readiness, and timing.
Only when these levels are considered together does a much more realistic picture emerge:
Company Fit + Current Needs + Likelihood of Action
A company may have a high fit but a low likelihood of action.
Another company may not be a perfect fit on paper, but it may be under significant pressure and need a solution quickly.
For sales, this distinction is crucial.
The “perfect” target audience lulls you into a false sense of security
The more precisely a target audience profile is formulated, the more objective it appears.
This can be dangerous.
A scoring model might assign points for industry, revenue, number of employees, locations, and technologies used. The result is a ranking that looks scientific and suggests clear priorities.
But if current changes, internal priorities, and timing are not factored in, the model primarily evaluates static similarity.
A company then receives a high score because it matches the desired profile—not because it is actually on the verge of making an investment.
Scoring is therefore not necessarily wrong.
It simply answers a different question.
It measures the fit.
Not necessarily the likelihood of a purchase.
However, these two factors are often confused with one another in sales.
Fit and purchase intent are not the same thing
A good fit is a company where your offering can, in principle, be put to good use.
A company ready to buy is one where, in addition, there is a specific reason, sufficient priority, and an appropriate timing.
The distinction sounds simple, but it changes the entire sales logic.
A company may be a perfect fit and still not make a purchase for years.
Another may only partially match the ideal profile but still need a concrete solution in the short term.
Those who confuse a good fit with a willingness to buy invest a lot of time in companies that may look promising but aren’t ready to act right now.
Those who distinguish between these two levels can prioritize more effectively.
A company’s situation affects its attractiveness
A target client’s attractiveness is not constant.
A company that seems uninteresting today can become a highly relevant opportunity in just a few months. A new contract, a regulatory change, a leadership change, or a technical glitch can fundamentally alter the situation.
Similarly, a company that is attractive today may lose relevance tomorrow. A project may be halted, the budget cut, or a competitor may win the contract.
The likelihood of a purchase is therefore dynamic.
It changes along with the company.
This is precisely where the weakness of many traditional target customer models lies. They are created once, translated into campaigns, and then used for months or years.
The company remains in the “top target customer” segment, even if its situation has long since changed.
A modern sales model, on the other hand, must regularly reassess which companies are truly relevant at any given time.
From the Perfect Target Audience to the Right Situation
Perhaps that’s why sales organizations should focus less on searching for the perfect target audience.
Such a group probably doesn’t exist in that form.
There are companies that are fundamentally a better fit for your offering than others. This fit remains important.
But the real business opportunity only arises when the right situation comes into play.
A provider of automation technology doesn’t just need a manufacturing company. It needs a manufacturing company where capacity bottlenecks, a shortage of skilled workers, or quality issues make change necessary.
An IT service provider doesn’t just need a medium-sized company. It needs a company that is growing, consolidating systems, increasing security requirements, or integrating new locations.
A consulting firm doesn’t just need a company of a certain size. It needs an organization that is facing a decision, a transformation, or a specific challenge.
The market, therefore, does not consist solely of suitable companies.
It consists of suitable companies in relevant situations.
Better prioritization requires two perspectives
Meaningful sales prioritization should look at a company from two angles.
The first perspective is:
How well does the company generally align with our offering?
Traditional criteria remain important here. Industry, size, processes, technologies, and economic conditions help filter out unsuitable companies.
The second perspective is:
How likely is it that this company needs to or wants to take action right now?
Here, other factors come into play. Changes, investments, bottlenecks, new leadership, regulatory pressure, growth targets, or technical issues provide insights into the current situation.
Only the combination of both perspectives creates a reliable ranking.
A high match without an immediate need may be an interesting target customer in the long term.
A high fit with strong pressure to act may represent a short-term priority.
A low fit despite a strong signal may remain unattractive because your own offering cannot effectively solve the problem.
Commercial Intelligence must therefore avoid both overvaluation and blind enthusiasm.
Not every identical company needs the same approach
When two companies appear identical on the surface, they often receive the same message in traditional campaigns.
This makes sense if the approach is derived solely from target audience characteristics.
But if their situations differ, the communication should also differ.
Company A is expanding its production. Here, the focus might be on capacity, scaling, and process reliability.
Company B is struggling with rising costs. In that case, efficiency, cost-effectiveness, and risk reduction would be more relevant.
Company C is facing a regulatory deadline. In this case, implementation reliability, documentation, and time pressure are key.
The product can be the same in all three cases.
The reason for the purchase is not.
A relevant sales pitch must therefore not only be tailored to the target audience.
It must also fit the situation.
The better question isn’t: Who is our ideal customer?
The question about the ideal customer isn’t wrong.
It’s just incomplete.
It should be expanded to ask:
Who is generally a good customer for us—and under what conditions is this customer actually likely to make a purchase?
This addition shifts the focus.
Sales is no longer looking for a static ideal. It’s looking for the right combination of fit and situation.
This also makes it clear why two nearly identical companies must be treated differently.
Not because one company is better or worse.
But because it happens to be at a different stage right now.
Commercial Intelligence Makes Purchase Probability Explainable
Commercial Intelligence does not attempt to predict purchasing decisions with certainty.
That would be unrealistic.
However, it helps to assess the likelihood of a purchase in a more transparent way.
Instead of evaluating a company based solely on its master data, multiple levels are linked together: the fundamental fit, current changes, potential needs, identifiable priorities, and timing.
This does not result in an absolute truth.
But it does result in a more well-founded hypothesis.
The sales team can then explain why one company is currently prioritized higher than another—even though both appear nearly identical at first glance.
This is precisely what distinguishes a long list of target customers from truly intelligent sales prioritization.
Conclusion
The “perfect target audience” is an illusion if it’s equated with a high probability of purchase.
Industry, revenue, number of employees, and technological characteristics indicate which companies might generally be a good fit for your offering. However, they do not explain which of these companies is currently facing a relevant decision.
Two companies can be nearly identical on paper yet have completely different circumstances.
One is growing, investing, and under pressure to act.
The other is stable, satisfied, and currently has no reason to change.
The target audience is the same.
The situation is not.
Perhaps that’s why sales should no longer just ask:
Who is our ideal customer?
But rather:
Which suitable company currently has the right combination of need, priority, and timing?
Because the ideal company profile creates a good fit.
The right situation creates the likelihood of a purchase.
Next article: CI-007
What Is Commercial Intelligence?
Definition, Classification, and Distinctions
In the next article, we’ll bring together the ideas discussed so far. We’ll clarify what Commercial Intelligence specifically means, what role this approach plays in B2B sales, and how it differs from traditional lead generation, business intelligence, market intelligence, and mere signal monitoring.
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