Why Deals Go to No Decision, and Why Urgency Makes It Worse

Somewhere between 40 and 60% of B2B deals end in no decision rather than a loss to a competitor. That figure comes from The JOLT Effect, published in 2022 and built on 2.5 million recorded sales conversations. The author is Matthew Dixon, who also co-wrote The Challenger Sale eleven years earlier.

Those two books point in different directions, and almost nobody who quotes both has noticed.

The Challenger Sale says the enemy is the status quo, and the answer is to disrupt it. Create tension. Make staying put feel expensive. The JOLT Effect says indecision is a different psychological problem, and that pushing harder on urgency makes an indecisive buyer worse rather than better.

Same author. Same research shop lineage. Opposite instruction for the deal sitting in your pipeline right now with no next step.

What does "no decision" mean in sales?

A no decision is a deal that ends without the customer buying anything from anyone. The evaluation happens, the meetings happen, sometimes a proposal gets written, and then the project stops. No competitor won. The buyer stayed exactly where they were, usually while continuing to agree that the problem is real.

That last part is what makes it hard to catch. A competitive loss announces itself. Somebody tells you they went another way, and there is a name and usually a reason. A no decision goes quiet. Emails get slower, a champion goes on holiday, a reorg happens, and eventually the opportunity gets closed out at quarter end with a reason code nobody believes.

Most CRMs make this worse by offering "Closed Lost" and a free text box. The deal that lost on price and the deal that evaporated get filed as the same outcome, so the pattern never shows up in a report.

How many B2B deals are lost to no decision?

Between 40 and 60%, according to the research behind The JOLT Effect, which analyzed 2.5 million recorded sales conversations. That is a range rather than a point estimate, and it is worth treating as a range. What is not in dispute is the ordering: for most B2B teams, no decision beats every named competitor combined.

Sit with the implication. If you run a competitive battlecard program, a win-loss interview process and a compete team, all of that machinery is pointed at the smaller half of your losses.

Two structural changes since 2011 push in the same direction. Buying groups got bigger, and more people means more ways for a decision to stall. And Gartner's current research describes buyers looping through six buying jobs, revisiting each at least once, rather than moving down a funnel. A process with loops has more places to get stuck than a process with steps.

Why does the Challenger author's later research point the other way?

The Challenger Sale was built to solve a buyer who does not see the problem. The JOLT Effect was built to solve a buyer who sees it clearly and still cannot commit. Dixon's argument is that indecision is psychologically distinct from status quo bias, and that the standard urgency playbook is aimed at the wrong one.

The 2011 model is unambiguous about its target. Harvard Business Review published the case for it under the title "The End of Solution Sales," arguing that buyers who define their own solutions turn reps into order-takers, and that the fix is teaching the customer something they did not already believe. Challenger Inc still describes constructive tension as "the productive discomfort that helps customers question the status quo and recognize the need to change." We went through what that means and how it gets misread in constructive tension.

That works on a buyer who is comfortable. It does not obviously work on a buyer who is anxious.

An anxious buyer already believes the problem is real. What they cannot resolve is the risk of choosing wrong: the wrong vendor, the wrong timing, the wrong internal fight to pick. Adding cost-of-inaction pressure to that person raises the stakes on a decision they were already afraid to get wrong.

This is our reading of two books rather than a finding from either, so treat it as an argument. The verified part is narrower: Dixon frames indecision as a different problem from status quo bias, and argues that aggressive urgency creation can make it worse.

What is the difference between status quo bias and indecision?

Status quo bias is a buyer who does not think the problem is worth solving. Indecision is a buyer who thinks it is worth solving and cannot commit to solving it now, with you. The first is a belief problem and responds to information. The second is a risk problem and responds to safety.

The two look identical in a CRM. Both produce a stalled opportunity, a champion who stops replying, and a rep who logs "customer went dark."

They sound different on a call, though.

Status quo bias sounds like disagreement. "We handle that in a spreadsheet and it works fine." "That has not been a priority for us." "I am not sure the cost is as high as you are saying." The buyer is arguing with your premise.

Indecision sounds like agreement plus a delay. "This is exactly the problem." "We definitely need to fix this." "Let me get a few more people to look at it." "Can you send the deck to legal and we will pick this up after the offsite." The buyer is agreeing with your premise and adding steps.

The second one feels better on the call and closes less often. That is the part reps have to unlearn, because a meeting full of enthusiastic agreement gets forecast as strong.

One more distinction worth keeping straight. A buyer who names a competitor is doing neither of these. That deal is in a decision, and it is the one your battlecards were built for.

Why does pushing harder on urgency backfire?

Because urgency raises the perceived cost of getting the decision wrong, and an indecisive buyer is already stuck on that exact cost. Telling someone who is afraid of a bad outcome that the outcome is even more consequential than they thought does not move them. It gives them a better reason to wait.

There is also a credibility cost. The cost-of-inaction pitch works when the numbers are specific to the customer's business. Delivered generically, it reads as pressure, and pressure late in a cycle is the most reliable way to lose a champion who was quietly on your side.

Worth being precise about what is and is not being claimed here. Nobody has shown that Challenger-style urgency creation is wrong for its intended use. Acquisition selling into an account that does not see the problem is what the model was built for, and the CEB data on that was strong enough to change how a generation of enterprise teams sold. The claim is narrower: it is the wrong tool for a specific failure mode that turns out to be the most common one.

For what it is worth, the original study has its own critics on method, which we covered in what the Challenger research actually found. That does not make the JOLT finding right by comparison. It means both should be read as arguments with evidence attached rather than as settled science.

How do you tell the two apart in your own pipeline?

Split your closed-lost reason codes into three buckets rather than two: lost to a named competitor, lost to no decision, and lost to disqualification. Then read the last three calls on ten no decision deals and sort them by whether the buyer argued with your premise or agreed with it and added steps. That is a two-hour exercise and most teams have never done it.

What tends to fall out of it:

A ratio. If your no decision bucket is under 20% of losses, look at your reason codes before you look at your pipeline. In most B2B teams that have measured it, the share runs well above that.

A stage. No decisions cluster. Some teams lose them right after discovery, which usually means the problem was never quantified. Others lose them after the proposal, which usually means the buying group never got aligned. Those need different fixes and get treated identically today.

A tell. Most teams find one repeated phrase in the last call of a dead deal. "Let me socialize this internally." "We want to look at one or two other options first." "Let's revisit after the planning cycle." Once you can name it, a rep can hear it in real time.

The fix for the third bucket has nothing to do with pressure. It is about reducing the number of open questions the buyer has to resolve alone, and giving them something concrete to take into a room you will never be in. B2B customers spend only 17% of the purchase process talking to potential suppliers, according to Brent Adamson's 2022 article on sense making. Whatever you leave them with has to work in the other 83%.

None of the standard methodologies handle this well. They were built for competitive displacement or for a buyer who has not seen the problem yet. Indecision is a third case.

Where does WingRep fit?

WingRep is an AI sales teammate that works on the two moments where a no decision gets decided. It listens live, so a rep who hears "let me socialize this internally" gets prompted while the buyer is still on the call rather than a week later in a deal review. And it writes the follow-up afterwards, which is the artifact that has to survive in the 83% of the process you are not in.

Follow-up quality is underrated in this specific failure mode. A recap that restates your pitch is useless to a champion arguing your case in a meeting you are not attending. What travels is a short, concrete summary of the problem in their words, the numbers they gave you, and the decision they said they needed to make. That is a writing job reps do badly at 6pm on the fourth call of the day, and it is the exact artifact that determines whether the deal survives the offsite.

If your calls already run through Gong, WingRep sits alongside it, so none of this requires moving where your recordings live.

Our per-seat price is published on our pricing page, or you can see how WingRep works on a live call.

Common questions

What percentage of B2B deals end in no decision?

Between 40 and 60%, per the research behind The JOLT Effect, which drew on 2.5 million recorded sales conversations. Individual teams vary widely, and most underreport it because their CRM does not distinguish a competitive loss from a deal that simply stopped.

Is no decision the same as losing to the status quo?

Not quite. Losing to the status quo usually means the buyer never accepted that the problem was worth solving. A no decision often involves a buyer who fully accepts the problem and still cannot commit to acting on it. The second responds to reduced risk rather than to increased urgency.

Who wrote The JOLT Effect?

Matthew Dixon, who also co-wrote The Challenger Sale in 2011. The 2022 book draws on an analysis of 2.5 million recorded sales conversations and treats buyer indecision as a distinct problem from status quo bias.

Does that mean the Challenger Sale is wrong?

No. It means the two books solve different problems. Challenger targets a buyer who does not see the problem, which is a real and common situation in new-logo selling. JOLT targets a buyer who sees it and cannot commit. Using the first prescription on the second situation is where teams get into trouble.

How do you stop a deal from stalling?

Reduce the number of open questions the buyer has to resolve without you, and get specific about what happens next rather than about what happens if nothing does. Concretely: agree the next step inside the call, name who else has to see it, and send a recap the champion can forward without editing.

Sources

• Dixon, The JOLT Effect, Portfolio/Penguin, 2022
• Dixon & Adamson, The Challenger Sale, Portfolio/Penguin, November 2011
• Adamson, Dixon & Toman, "The End of Solution Sales," Harvard Business Review, July/August 2012
• Adamson, "Sensemaking for Sales," Harvard Business Review, January/February 2022
• Gartner, the B2B buying journey
• Challenger Inc, selling profiles
• Capon, "Revisiting The Challenger Sale," Velocity 17(3), 2015