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Matt Dixon (author of The Challenger Sale and The JOLT Effec30 May 2024

The surprising truth about what closes deals: Insights from 2.5m sales conversations

7Frameworks
13Insights

Episode overview

Matt Dixon explains research drawn from 2.5 million sales conversations showing that many deals are lost not to competitors but to customer indecision and fear of making a bad choice. He presents the JOLT method for identifying indecision, recommending a path, limiting endless research, and reducing perceived risk. He also explains how The Challenger Sale reframes selling around teaching customers about an overlooked problem that a seller's distinctive solution can address.

Key ideas

  • Between 40% and 60% of an average salesperson's qualified pipeline may ultimately be marked closed-lost because the customer makes no decision.
  • Fifty-six percent of no-decision losses involve customers who want to buy but become stuck through fear of failure.
  • Increasing fear of missing out backfires when customers are already convinced they need change but fear being blamed for a poor purchase.
  • The JOLT method means judging indecision, offering a recommendation, limiting exploration, and taking risk off the table.
  • Specific recommendations reduce choice overload and let buyers share the perceived burden of a potentially bad decision with the salesperson.
  • Transparent disclosure of weaknesses and demonstrated expertise help customers stop researching endlessly and begin trusting the seller.
  • Challenger sellers teach customers what should be keeping them up at night, then connect that insight tightly to a capability competitors cannot match.

Transcript available · source text is retained privately and is not published

Frameworks in this episode

Sales4 steps

De-Risk the Deal (The Safety Net Playbook)

Reset the business case downward and build a safety net so signing stops feeling like a solo skydive

Read →
Influence4 steps

FOMU Over FOMO (The Omission-Bias Diagnostic)

Buyers fear messing up more than missing out — diagnose which fear you're actually fighting

Read →
Sales3 steps

Limit the Exploration (Trust Then Expertise)

Stop the endless-research spiral by getting the buyer to stop being the expert and start trusting yours

Read →
Communication5 steps

Pings and Echoes

Surface a buyer's hidden fear by voicing your hypothesis and listening for the reflection

Read →
Sales4 steps

The Challenger Sale (Commercial Teaching)

Don't ask what keeps the customer up at night — show them what should be, then own the only cure

Read →
Influence4 steps

The Delegation Effect (Recommend, Don't Diagnose)

Prune the options and name your pick so the buyer no longer carries the blame alone

Read →
Sales4 steps

The JOLT Method

Four moves that convert an indecisive buyer into a signed deal without adding pressure

Read →

People & resources mentioned

Attributed to the moment in the episode. Timestamps are approximate.

People · 3

  • Matt DixonMentionsMatt is one of the world's foremost experts in sales known for his groundbreaking Research into what makes the best sales people different

    “today my guest is Matt Dixon”

    ▶ Watch at ~1:00approx.
  • April DunfordMentionsApril Dunford was on this podcast and she has this book that she put out recently called the sales pitch

    “a huge thank you to April Dunford for connecting us she's a a huge fan of your work”

    ▶ Watch at ~2:00approx.
  • Lenny RachitskyMentionstoday we've got another very special compilation episode something I've been pulling on more and more with the podcast and the newsletter

    “you know Lenny remember the demos and the proof of concept trial”

    ▶ Watch at ~12:30approx.

Resources · 19

  • The JOLT EffectCoinedbook · Matt Dixon and Ted McKenna

    “his most recent book The jolt effect Builds on his lessons and insights and will change how you do sales”

    ▶ Watch at ~1:00approx.
  • The Challenger SaleCoinedbook · Matthew Dixon and Brent Adamson

    “his first book The Challenger sale was a number one Wall Street Journal bestseller”

    ▶ Watch at ~1:00approx.
  • GartnerMentionscompany

    “at the time I was working for a company called CB which was acquired by Gartner group”

    ▶ Watch at ~3:00approx.
  • CEBMentionscompany

    “at the time I was working for a company called CB which was acquired by Gartner group”

    ▶ Watch at ~3:00approx.
  • Tiger KingMentionstv show

    “March was a time when people were getting into Tiger King and baking sour dough bread”

    ▶ Watch at ~4:00approx.
  • SPIN SellingCoinedbook · Neil Rackham

    “they a team of psychologists to produce the research that went into spin selling”

    ▶ Watch at ~4:30approx.
  • Cisco WebexUsessoftware · Cisco

    “the entire sales process for every company on Earth went to zoom and teams and web Xs and other virtual platforms”

    ▶ Watch at ~5:00approx.
  • ZoomUsessoftware · Zoom Video Communications

    “the entire sales process for every company on Earth went to zoom and teams and web Xs and other virtual platforms”

    ▶ Watch at ~5:00approx.
  • Microsoft TeamsUsessoftware · Microsoft

    “the entire sales process for every company on Earth went to zoom and teams and web Xs and other virtual platforms”

    ▶ Watch at ~5:00approx.
  • InterpretMentionssoftware

    “interpret unifies all of your customer interactions from gong calls to zenes tickets to Twitter threads to App Store reviews”

    ▶ Watch at ~6:00approx.
  • WebflowMentionssoftware · Webflow

    “that's where web flow comes in their visual first platform allows you to build launch and optimize web pages fast”

    ▶ Watch at ~7:30approx.
  • SalesforceMentionscompany · Salesforce

    “say someone has Salesforce installed and now they're like there's probably something better out there”

    ▶ Watch at ~18:00approx.
  • IBMMentionscompany

    “nobody ever got fired for buying from IBM”

    ▶ Watch at ~19:00approx.
  • Gartner Magic QuadrantMentionsother · Gartner

    “about two weeks after they won this deal the new Gardner magic quadrant on their space came out”

    ▶ Watch at ~21:00approx.
  • HeapMentionssoftware

    “this episode is brought to you by Heap the product analytics solution that shows you everything users do on your digital product”

    ▶ Watch at ~25:00approx.
  • The Challenger CustomerCoinedbook · Brent Adamson, Matt Dixon, Pat Spenner and Nick Toman

    “we wrote a sequel of the Challenger sale called The Challenger customer”

    ▶ Watch at ~49:00approx.
  • Pulp FictionMentionsfilm · Quentin Tarantino

    “you remember the scene in Pulp Fiction where they open the briefcase and that it emanates like a light emits from it”

    ▶ Watch at ~50:00approx.
  • Jolt EffectRecommendswebsite

    “visit jolt effect.com there's a ton of there's also a lot of free tools on there that you can download”

    ▶ Watch at ~55:30approx.
  • Lenny's PodcastCoinedpodcast · Lenny Rachitsky

    “you can find all past episodes or learn more about the show at Lenny's podcast.com”

    ▶ Watch at ~56:00approx.

Spot an error or want something removed? Request a correction or removal.

Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Myth Buster· 2

Myth Buster13:30

Dialing Up FOMO Backfires 87% of the Time

Salespeople are trained that the status quo is their biggest enemy, so when a customer hesitates they pile on urgency: reminders of the benefits, fear-uncertainty-and-doubt, the 10% discount that's only good this quarter. Dixon's data shows this fear-based pressure backfires 87% of the time with a hesitant late-stage buyer, actually increasing the odds the deal is lost to no decision.

  • Sellers default to FOMO tactics: benefits reminders, FUD, and expiring discounts
  • With a customer who was ready but is now waffling, dialing up FOMO backfires 87% of the time
  • It increases the odds the deal ends in no decision rather than closing it
  • This finding contradicted the fear-based playbook, including parts of Challenger

“dialing up the fomo backfires 87% of the time in other words it increases the odds the deal will be lost to no decision”

Matt Dixon · 13:30
#fomo#urgency#myth#closing
Myth Buster28:00

Buyers Think They're Decisive — 87% Aren't

Because of the Dunning-Kruger effect, buyers (especially senior executives) overrate their own decisiveness — ask 100 and 99 will call themselves decisive gut-driven leaders. The data disagrees: 87% of buyers across 2.5 million calls showed moderate or high indecision. Worse, even self-aware indecisive buyers won't admit it, because confessing they're on thin ice with their boss is embarrassing.

  • Dunning-Kruger makes buyers, and especially senior executives, overrate their decisiveness
  • 87% of buyers in the dataset showed moderate or high indecision
  • The ~13% who are fearless decide rationally on dollars and ROI — sell them everything, fast
  • Even buyers who know they're indecisive won't say so because it's embarrassing

“87% of buyers in our two and a half million sales calls we studied either showed moderate or high levels of indecision”

Matt Dixon · 28:00

“everybody especially customers suffers and Senior Executives especially especially suffer from what's called The Dun and Krueger effect”

Matt Dixon · 27:30
#dunning-kruger#decisiveness#buyer psychology#data

Hot Take· 2

Hot Take19:00

Even the 800-Pound Gorilla Isn't Safe From Buyer Fear

A big enterprise vendor felt safe as the 'IBM of their space' — the choice nobody gets fired for. Dixon pushed back: the incumbent actually amplifies buyer anxiety. They offer a confusing cornucopia of options from acquisitions, everyone has a strong opinion about them so the customer keeps digging, and their eight- and nine-figure deals raise the stakes on seeing ROI. Being the safe brand doesn't make you immune to indecision.

  • The old adage 'nobody ever got fired for buying from IBM' makes big vendors feel safe
  • Sprawling product ecosystems and many options increase the buyer's fear of choosing wrong
  • Heavy coverage means customers keep researching and leave no stone unturned
  • Bigger deal sizes raise the pressure to see promised returns

“nobody ever got fired for buying from IBM”

Matt Dixon · 19:00
#enterprise sales#incumbents#buyer anxiety#positioning
Hot Take48:00

Challenger Selling: Show Them What Should Keep Them Up at Night

Most sellers try to figure out what's already keeping the customer up at night — classic needs-diagnosis. The Challenger approach flips it: show the customer what should be keeping them up at night, a risk or opportunity they don't know about but you do. Because you talk to far more customers than they ever will, you're their window into the outside world — but the insight must lead to your unique strengths, not free consulting.

  • Solution selling diagnoses the customer's stated worries; Challenger reframes what they should worry about
  • A seller who talks to many customers can surface risks the buyer can't see
  • The provocative insight must lead to your unique benefits, or it's just free consulting
  • The metaphor: create a fire, then be the only one in town selling the extinguisher

“the Challenger approach is about showing the customer what should be keeping them up at night”

Matt Dixon · 48:00

“create a fire and then be the only person in town who sells the fire extinguisher that'll put it out”

Matt Dixon · 48:30
#challenger sale#reframe#insight selling#differentiation

Explainer· 4

Explainer08:00

You're Losing Deals to Indecision, Not the Competition

The headline finding: 40 to 60% of a salesperson's qualified pipeline ends in 'closed lost, no decision' — the customer buys nothing at all. These are engaged, qualified opportunities, not junk leads, and the number is rising in SaaS and tech. Deals most often fall apart between intent and action, after the customer has already said yes.

  • 40 to 60% of the average salesperson's qualified pipeline ends in no decision
  • These are qualified opportunities the seller invested real time and money in, then got ghosted
  • The buying journey has three phases: status quo, agreement on a vision (intent), and action
  • Deals fall apart in the gap between intent and action, when addressed concerns resurface

“the big Insight is that you're losing most of your sales deals not to competition but to indecision and that indecision stems from their fear…”

Matt Dixon · 00:00

“40 to 60% of them will”

Matt Dixon · 08:30
#indecision#pipeline#no decision#sales
Explainer16:00

The Omission Bias: People Fear Messing Up More Than Missing Out

Digging into 30 years of cognitive psychology, Dixon found a bias more powerful than status quo bias: the omission bias. People are far more afraid of losses caused by a decision they made than losses from doing nothing, because a decision can be personally blamed on them. So scaring a hesitant buyer with what they'll miss out on aims at the wrong fear entirely — the fear of messing up (FOMU) matters more than the fear of missing out (FOMO).

  • 56% of no-decision losses are customers who want to buy but can't, stuck in indecision from fear of failure
  • The omission bias means people don't want to be blamed for decisions that lead to a loss
  • A loss from acting feels worse to us than an equal loss from doing nothing
  • FOMU (fear of messing up) is a stronger driver than FOMO (fear of missing out)

“people don't want to be blamed for making decisions that lead to a loss”

Matt Dixon · 16:00

“they're not afraid of missing out they're afraid of messing up”

Matt Dixon · 00:00
#omission bias#psychology#fear of failure#fomu
Explainer20:00

The Three Fears That Freeze a Buyer

Dixon breaks down the three specific worries that drive fear-of-failure indecision. First, 'did I make the right choice?' — the right config, contract length, integrations. Second, 'will I learn something after signing that makes this look bad?' Third, 'will we actually get the ROI we were promised?' In today's environment, getting any of these wrong isn't just embarrassing — it can get someone fired.

  • Fear #1: uncertainty about whether the solution was configured and specced correctly
  • Fear #2: dread of new information surfacing after signing that makes the decision look bad
  • Fear #3: worry that the projected ROI won't materialize and their name is on the agreement
  • Each fear ties back to personal blame, not the product's merits

“the customers worried they're just not going to see the ROI they're not going to get the full benefits”

Matt Dixon · 22:00
#fear of failure#buyer psychology#roi#risk
Explainer37:30

The Delegation Effect: Why a Waiter's Recommendation Works

A great waiter doesn't ask 'what are you in the mood for?' — that dumps the problem back on you. They recommend a specific favorite. Psychologists call this the delegation effect: if the recommended dish disappoints, the fault is shared between you and the waiter. In complex sales the same thing applies — buyers want a guide who shares the risk of a bad decision, which is why recommending beats endlessly diagnosing needs.

  • Asking a customer what they want, when they can't decide, offers no help
  • A concrete recommendation shares the burden of a potential bad outcome
  • If a recommended choice disappoints, the blame is partly the recommender's — that feels safer
  • Sellers should shift from diagnosing needs to recommending what the customer should do

“what psychologists call the delegation effect”

Matt Dixon · 37:30

“customers are looking for somebody to share in the risk and the burden of making a bad decision”

Matt Dixon · 38:00
#delegation effect#recommendation#choice overload#psychology

Story· 3

Story05:30

How They Studied 2.5 Million Sales Calls With Machine Learning

Dixon explains how the JOLT Effect research became possible only when the pandemic pushed every sales meeting onto Zoom, Teams and WebEx in March 2020. His team recruited dozens of companies worldwide and captured 2.5 million recorded sales conversations, analyzing them at scale with a machine learning platform. It's a sharp contrast to the earlier Challenger research, which relied on surveys of 6,000 salespeople.

  • The dream of studying real sales conversations (like Neil Rackham's SPIN work sitting in on 30,000 calls) was historically too hard and too expensive
  • March 2020 moved the entire sales process to virtual platforms, making calls recordable at scale
  • They collected 2.5 million sales calls across dozens of companies and industries
  • The original Challenger book was built on a survey of 6,000 salespeople with performance data

“we collected two and a half million uh sales calls and studied them with a machine learning platform at scale”

Matt Dixon · 05:30
#sales research#machine learning#methodology#jolt effect
Story20:30

How a Gartner Magic Quadrant Killed a Signed Seven-Figure Deal

An early-stage company landed the biggest deal of its existence — a seven-figure win against big incumbents, cause for celebration. Two weeks later a new Gartner Magic Quadrant placed them middle of the pack, and the signing CTO got hammered by stakeholders asking why they didn't go with the leaders. Life being too short, the CTO backed out of the contract. It's a vivid illustration of fear #2: buyers dread post-decision surprises.

  • An early-stage vendor won a celebrated seven-figure deal against established competitors
  • Two weeks later a Gartner Magic Quadrant rated them as middling
  • The CTO faced pressure from every stakeholder for not choosing a 'leader'
  • They backed out of the signed contract rather than keep defending the choice

“about two weeks after they won this deal the new Gardner magic quadrant on their space came out”

Matt Dixon · 20:30

“they ended up backing out of the contract”

Matt Dixon · 21:30
#case study#analyst reports#buyer regret#no decision
Story49:00

The Dentsply Wand: A Textbook Challenger Reframe

Dentsply built the first lightweight cordless dental wand, but when they led with the product it cost three times more than the old corded ones, so dentists just put it back in the case. The fix was a Challenger reframe: start by talking about hygienist turnover, absenteeism, and workers' comp claims caused by repetitive-strain injuries from heavy corded wands — then reveal that the primary driver is the equipment, and the only fix is their XP 9000. Same product, sold second instead of first.

  • Leading with the innovative product hit a wall on price (3x the old wands)
  • They connected heavy corded wands to hygienist carpal tunnel, absenteeism and workers' comp costs
  • Ripple effects included rescheduled appointments, lost patients and bad reviews
  • Reframing on the business problem first gave dentists a reason to pay a premium

“when they told them it costs like three times more than the current oldfashioned wands are using with the heavy cord it they would gently…”

Matt Dixon · 50:30

“start with an Insight they may not be aware of”

Matt Dixon · 54:00
#case study#challenger sale#reframe#value selling

Tool· 1

Tool29:30

'Pings and Echoes': Surfacing a Buyer's Hidden Fear

Discovered after the book was published, this is how high performers get fear of failure on the table without offending a buyer who thinks they're decisive. Like a ship using sonar, the seller floats a specific hypothesis about what's worrying the customer — too many options, or an ROI they can't defend to the CFO — and listens for the customer to confirm or refute it. It reframes the hesitation as normal and gets it named so it can be dealt with.

  • Blunt open-ended questions ('are you struggling to decide?') offend buyers who see themselves as decisive
  • Instead, articulate a specific hypothesis about the buyer's concern and listen for confirmation or refutation
  • Example: 'are you and your team clear on what would be in and out of the proposal?'
  • The goal is to normalize the fear and get it named, not to embarrass the customer

“we found a technique this is actually not in the book we found it after we wrote the book called pings and Echoes that high…”

Matt Dixon · 29:30
#sales technique#discovery#questioning#jolt

Takeaway· 1

Takeaway42:30

Under-Promise the ROI, Then Over-Deliver

Average sellers happily let an excited buyer run with a 10x case study to the CFO. Top performers deliberately anchor lower — building the business case around a 5x improvement they see in 100% of implementations — so they can over-deliver. The reasoning: if you promise 10x and land 7x, the CFO asks hard questions, even though 7x should be a triumph. Resetting expectations early takes risk off the buyer.

  • Buyers get excited by the best-case case study; average sellers don't talk them down
  • Case-study wins usually assumed everything went perfectly, which rarely repeats
  • Top performers anchor the business case to a conservative, near-guaranteed number
  • Promising 10x and delivering 7x triggers CFO scrutiny, even though 7x is excellent

“what I'd rather we do is build your business case around a 5x Improvement in sales productivity because we see that at least that in…”

Matt Dixon · 42:30
#under-promise#roi#expectations#business case