By the time a deal reaches the business case stage, the seller has usually done the hard relational work. The buyer agrees there is a problem worth solving. The solution has been mapped, stakeholder by stakeholder, to the pain it addresses. What remains is the part sales teams tend to treat as paperwork: turning that agreement into a number, and getting the number past finance.

The evidence says this stage, not the demo and not the negotiation, is where most B2B deals actually die. Forrester's State of Business Buying study, based on more than 16,000 global buyers surveyed for its 2024 report, found that 86% of B2B purchases stall somewhere in the buying process. Matt Dixon and Ted McKenna's JOLT Effect research, drawn from an analysis of 2.5 million recorded sales calls, puts a sharper point on it: 40 to 60% of qualified, well-fit pipeline ends not in a loss to a competitor but in "no decision," and when a buying group shows visible indecision during a call, the rep's win rate drops from roughly 30% to about 6%. The thing killing these deals is rarely a better competitor. It is a business case that never became solid enough for the buyer to act on.

That distinction matters because it points sales organizations toward the wrong fix. The instinct, faced with stalled deals, is to build a more sophisticated ROI model: more inputs, more scenarios, a slicker calculator. The research on that instinct is not encouraging.

Essi Pöyry, Petri Parvinen, and Jonas Martens studied what actually happens when B2B sales teams use value calculators, the spreadsheet or software tools built to quantify a deal's return, combining sales performance data from a B2B service firm with qualitative interviews across multiple B2B companies (Journal of Business Research, 2021). The finding cuts against the industry's default assumption: calculator usage was associated with lower value won deals and had no measurable effect on conversion rate or how long the sales cycle took. The tools broke down for predictable reasons. Deals varied too much for a standard model to fit cleanly. Much of the value at stake was not explicit or easy to quantify. And both the salespeople running the calculators and the customers receiving them were often not proficient enough with the tool to trust its output.

This lines up with a broader finding from Andreas Hinterhuber's study of value quantification capability, a firm's demonstrated ability to translate its offering into a customer-specific financial estimate, based on a survey of 131 U.S. B2B sales and account managers (246 responses from 2,904 invitations, an 8% response rate, fielded in early 2014) and analyzed with structural equation modeling (Journal of Business Research, 2017). Value quantification capability was positively related to firm level performance, explaining about 12% of the variance in relative firm performance, but it showed no significant relationship to individual salesperson performance. In other words, quantifying value well is an organizational discipline, built from consistent methodology, customer-oriented questioning, and cross-functional input, not a talent an individual rep can improvise deal by deal with a better spreadsheet. Hinterhuber's data also found the effect was stronger in stable markets than in volatile ones, meaning the payoff from a rigorous, repeatable quantification process is highest exactly where buyers have time to scrutinize it.

Put those two studies together and a pattern emerges. The lever is not tool sophistication. It is whether the organization has a disciplined, repeatable way of producing a number the buyer's own finance function will accept, and whether that number survives contact with people who were never in the room for the pitch.

The buyer side data explains why that survival test is the one that matters. TrustRadius and Pavilion's 2024 B2B Buying Disconnect report, based on surveys of 2,164 technology buyers and 243 vendors fielded in March and April 2024, found that 79% of respondents said the CFO always or frequently holds final decision making power on a purchase, and 42% named the C-suite or the top financial officer as ultimately responsible for sign-off. Yet sales teams routinely build their business case for the champion, the person who wants the solution, not for the approver, the person who has to defend spending it in a budget review. The same report found that 47% of enterprise buyers wished calculating ROI were easier so they could get budget approved, a rate 16 points higher than the general buyer population, meaning the pain gets sharper exactly as deal size grows and scrutiny increases.

G2's 2024 Buyer Behavior Report, surveying 1,940 B2B decision makers in March 2024, adds a timing constraint on top of the approval constraint: 57% of buyers expect to see positive ROI within three months of purchase, and 78% expect it within six months. Buyers are not asking for a comprehensive five-year total cost of ownership model. They are asking for a credible, near-term number, tied to a metric their organization already tracks (employee productivity and cost savings were the two most common measures cited, at 44% and 42% respectively), that someone other than the seller can stand behind when questioned.

That is the real job of the business case stage: not persuasion, and not modeling sophistication, but producing something portable enough to survive being handed to people the seller will never meet.

A useful way to evaluate any business case before it leaves the seller's hands is to ask whether it would survive a handoff: could the champion walk it into a budget meeting, alone, and defend it under hostile questioning. Four elements determine the answer.

One number, tied to one source of truth. The evidence above points the same direction from two angles: value quantification works at the organizational level when it is disciplined and repeatable, and it fails at the individual deal level when it becomes an elaborate, bespoke model no one outside the deal can audit. The practical implication is to resist the urge to present multiple ROI scenarios (conservative, moderate, aggressive) as if optionality signals rigor. A CFO who has to choose which scenario to believe is a CFO who has grounds to defer the decision. One number, built from inputs the buyer's own team supplied and can verify, is more defensible than three the seller generated internally.

A named comparison to the cost of doing nothing. The JOLT Effect data is direct on this point: the primary competitor at the business case stage is the status quo, not a rival vendor. A business case that quantifies the gain from the new solution but leaves the cost of inaction implicit is asking the buyer to do the hardest part of the argument themselves, silently, without any of the seller's input. Making that comparison explicit (what does another year at the current state actually cost, in the same units as the proposed return) turns an abstract improvement pitch into a decision between two concrete outcomes, which is the frame the buying group actually has to resolve.

An owner who is not the seller. Every one of the sources above converges on the same structural problem: sellers build cases that live or die on the seller's continued presence in the room, at exactly the moment 79% of buyers say the real approval sits with a CFO the seller rarely meets directly. The fix is to identify, during the business case conversation itself, who inside the account will actually present the number, and to build the case in that person's language and around that person's incentives rather than the seller's. If no one internally is willing to own presenting it, that is a qualification signal, not a coaching opportunity: the deal likely lacks a champion with the standing or motivation to carry it forward.

A visible trail from assumption to conclusion. Because buying committees now do a meaningful share of their evaluation without the seller present, and because finance reviewers are trained to distrust numbers they cannot trace, the business case should expose its own math rather than presenting only a final figure. A single page showing the two or three inputs that drive the result, where each input came from, and what would have to be true for the number to be wrong, does more to survive scrutiny than a polished summary slide. This is also what makes a case genuinely portable: a document a stranger can audit travels through an organization; one that only makes sense with narration does not.

Build the business case with the buyer, not for them. The Hinterhuber and Pöyry findings both point to the same operational lesson: value quantification that a seller performs alone, then presents as a finished product, underperforms value quantification built collaboratively with the people who will have to defend it. That means asking the champion, early, whose numbers the organization already trusts for productivity, cost, or revenue metrics, and anchoring the model to those sources rather than to industry benchmarks the seller supplies.

Time the business case conversation to start well before it is needed. Because 47% of enterprise buyers specifically cite difficulty calculating ROI as a barrier to getting budget approved, waiting until a late stage negotiation to introduce the financial justification means introducing friction exactly when the deal has the least slack left to absorb it. The number should exist, in draft form, by the time solution alignment is underway, so it can be pressure tested and refined rather than assembled under deadline.

Resist the request for a bigger model. When a buyer or a sales leader asks for a more comprehensive ROI tool, the evidence suggests redirecting that energy toward simplification and ownership instead. A single defensible number with a named internal owner and a visible trail outperforms a sophisticated calculator that only the seller can operate, both because it travels further inside the organization and because the data shows sophistication itself is not the variable correlated with winning.

Treat "no decision" as the outcome to design against, not competitive loss. Sales processes and forecast reviews are typically built to track wins and losses against named competitors. The research says the more common failure mode at this stage is invisible: a business case that was good enough to keep the deal alive but never good enough for a risk averse buying group to act on. Explicitly asking, at every stage gate, "who will present this number, and what happens to their credibility if it turns out to be wrong" surfaces stalled deals earlier than waiting for a buyer to stop responding.