The New Language of Value: Do You Really Know Why Customers Choose You?

Growth has become harder than it should be. Learn Why Customers Choose You.

Sales cycles are getting longer. Buyers are more cautious. More people are involved in decisions. Companies are investing heavily in sales technology, enablement, and now AI, yet many still struggle to create predictable growth.

One finding in Gartner’s 2026 Leadership Vision for Chief Sales Officers caught my attention.

Gartner reports that 74% of B2B sales leaders say closing deals has become more difficult, reflected in longer sales cycles. One of its three mission critical priorities for sales leaders is something it calls “The New Language of Value.” [1]

I think there is an important question for CEOs sitting underneath that idea:

Do we really understand the value our customers are buying?

It sounds obvious. I’m not convinced it always is.

Why did they choose you?

I often ask leadership teams a deceptively simple question:

Why does a customer choose you the first time… and why do they choose you again?

The answers tell you a great deal about a business.

The first part is about the decision to buy. What was happening that caused the customer to act? Why did it matter now? What alternatives did they consider? Why did they believe you were the right choice? What gave them enough confidence and trust to make the decision?

That’s the value the customer expected.

The second part is different. Why did they renew? Expand? Buy something else? Recommend you?

That’s about the value they experienced.

And the difference between those two answers can tell us something important about whether we truly understand the value our business creates.

There are really three versions of value

When I work with companies, I increasingly think about value through three lenses.

1. There is the value the company believes it provides.
2. There is the value the customer expected when they made the buying decision.
3. And there is the value the customer actually experienced after working with the company.

Ideally, those three things are closely aligned. But what if they aren’t?

A leadership team may believe customers choose them because of superior technology. Customers may actually choose them because they trust the people.

Sales may be leading with functionality while customers are buying reduced risk.

Marketing may emphasize innovation while customers care most about implementation certainty.

And a customer who originally bought because of one capability may renew because the company has become deeply embedded in how their organization operates.

None of those answers is inherently wrong. But the differences matter.

Because somewhere inside those differences is Customer Truth.

Customer Truth → Value → Positioning → Marketing → Qualification → Sales → Delivery → Retention → Expansion

If the understanding of value at the beginning is wrong, everything downstream can become less effective.

This may explain some sales and marketing misalignment

Another Gartner finding makes this particularly interesting.

Gartner reports that 51% of CSOs see fundamental misalignment between sales and marketing over what constitutes a high-quality lead. This can create what Gartner calls the “pipeline trap”: plenty of apparent pipeline without enough genuine buying intent underneath it. [2]

Gartner’s conclusion is straightforward:

“Fixing the funnel isn’t about more leads. It’s about better-qualified leads.” [3]

I agree. But I think there is a question before qualification:

Qualified against what?

If Sales and Marketing don’t share a clear, evidence-based understanding of why customers buy, how can they consistently agree on what a good prospect looks like?

The problem may not begin with the definition of a qualified lead. It may begin much earlier, with different assumptions about the customer.

Ask the customer

This is why I believe customer evidence matters so much.

Most companies have an internal explanation for why customers buy. It appears in positioning decks, sales presentations, personas, CRM fields, and leadership conversations.

Some of it will be right. Some of it may once have been right. Some of it may simply have been repeated often enough that it has become accepted as fact.

The customer provides another source of evidence.

Ask recent wins why they chose you. Ask long standing customers why they stayed. Ask expanded accounts what caused them to buy more. Ask customers who left what changed. Ask lost prospects what made another alternative more compelling.

Then compare those answers with what leadership, Sales, Marketing, and Customer Success believe.

I’m often less interested in whether everybody agrees than in where they disagree.

Those gaps create questions worth investigating.

AI makes this even more interesting

There is another reason I think this matters now.

AI is giving commercial organizations an unprecedented ability to process customer information at scale. Calls, emails, CRM notes, support interactions, interviews, win/loss data, and account histories can increasingly be analyzed for patterns that would have been difficult for humans to identify manually.

That’s enormously valuable. But AI cannot compensate for asking the wrong question.

Gartner makes a related point in its productivity research. CSOs who use AI to challenge existing productivity constraints, rather than simply layering AI onto existing processes, are 2.7 times more likely to exceed commercial targets. [4]

That distinction is important.

The opportunity isn’t simply to use AI to produce more content, send more emails, or process more leads. It’s to use AI to help us understand the business better.

AI can process. It can compare. It can identify patterns. It can challenge assumptions.

But ultimately, people still need to interpret what those patterns mean, understand the context, and decide what to do about them.

AI proposes. Humans decide.

Main Takeaway

Gartner’s “New Language of Value” is not simply about improving how sellers describe a product. It is about building a shared, evidence-based understanding of the value customers expect, experience, and are willing to pay for.

The report recommends assessing the customer journey, systematically capturing customer value, identifying the elements of the value proposition that matter to different buyers, and establishing a shared understanding of commercial value across the organization. [1]

For me, the practical takeaway is:

Before changing the sales process, adding more pipeline or deploying AI, establish why customers choose you the first time, why they choose you again, and whether the value they experience matches what the business believes it delivers.

That understanding should then shape positioning, marketing, qualification, sales conversations, delivery, retention and expansion.

Start with the truth about value

There is a natural tendency when growth slows to look for something to change.

A new sales methodology. More demand generation. Different compensation. Another technology platform. More salespeople. AI.

Any of those might be the right answer.

But before deciding what to change, I think there is a more fundamental place to begin.

Why does a customer choose you the first time… and why do they choose you again?

Then don’t settle for the first answer.

Ask Sales. Ask Marketing. Ask Customer Success. Ask the leadership team. And most importantly, ask your customers.

The differences between those answers may tell you more about your business than another dashboard ever will.

Because before we can communicate value more effectively, sell it more consistently, or use AI to scale it, we need to understand what that value actually is.

Better decisions begin with better understanding.

And perhaps that’s what the new language of value really requires.

Source

Gartner, 2026 Leadership Vision for Chief Sales Officers / The CSO Report: 3Q26. Key source sections used in this article:

[1] “The New Language of Value” — closing difficulty, customer journey, systematic capture of customer value, tailoring the value proposition, and shared understanding of commercial value.

[2] Sales and marketing misalignment over what constitutes a high-quality lead and the resulting “pipeline trap.”

[3] Gartner’s conclusion that fixing the funnel requires better-qualified leads rather than simply more leads.

[4] Gartner finding that CSOs using AI to challenge existing productivity constraints are 2.7x more likely to exceed commercial targets.

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