Sixty percent of technology buyers involved in renewal decisions regret nearly every purchase they make (Gartner, https://www.gartner.com/en/newsroom/press-releases/2023-06-14-gartner-survey-reveals-60-percent-of-technology-buyers-involved-in-renewal-decisions-regret-nearly-every-purchase-they-make).
That stat has been sitting in the market since June 2023 and I don't think anyone in B2B GTM has properly reckoned with it. Six out of ten of the deals your team just closed will produce regret. Six out of ten of the deals your team is currently negotiating will produce regret. If your win rate feels like your growth engine, you're wrong about what your growth engine actually is.
The interesting part of the Gartner data isn't the 60% number. It's the two subgroup deltas that Gartner buried in the same release. Regret is 1.65× higher for self-service digital buyers. And 23% higher for buyers who preferred a rep-free experience.
Read those together and Gartner has quietly published the most important seller-defense stat of the AI-buying era. This piece walks through what actually drives regret — and why the deltas point at a specific missing ingredient in modern B2B buying.
Why buyer regret matters more than win rate
The traditional sales scoreboard tracks bookings and win rate. Regret is downstream of both. A closed deal that later regrets is:
- A worse renewal.
- A quieter reference.
- A slower expansion.
- A more contentious renegotiation.
- A candidate for churn as soon as the champion leaves.
Gartner tracks "low-regret" and "high-quality" as the buyer-side outcome metrics they now consider superior to raw win-rate reporting. High-confidence buyers are approximately 10× more likely to make a high-quality, low-regret purchase (Gartner, https://www.gartner.com/en/digital-markets/insights/improve-b2b-buyers-confidence). If you optimize your GTM motion for close rate, you get a certain set of behaviors. If you optimize for regret rate, you get very different ones.
Sellers who understand this shift stop measuring themselves against "did I close the deal" and start measuring "did I close a deal the buyer feels good about six months later." That's the whole game in a buyer-centric sales era.
The 1.65× delta: self-service digital buyers regret more
Gartner's 2023 release calls it out cleanly. Buyers who used self-service digital channels — configuring, buying, or renewing without a rep involved — reported regret 1.65× higher than the baseline.
That's counterintuitive if you believe the "buyers want to buy alone" narrative that has driven a decade of digital-commerce investment. Buyers do want to buy alone. And when they do, they regret it 65% more than when they don't.
The reason isn't hard to find. Self-service buyers have no external checkpoint. Nobody flagging that the requirement they wrote down is missing something obvious. Nobody surfacing an edge case that another customer hit last year. Nobody validating that their assumptions match how the product actually deploys. They make decisions on incomplete information and find out post-purchase what they didn't ask about.
This is exactly what the "buyer enablement" side of Gartner's research has been saying for six years. Buyers need help completing buying jobs. Without help, they complete the jobs badly, and regret follows.
The 23% delta: rep-free preferred buyers regret more
The subgroup with the second-highest regret is buyers who told Gartner they preferred a rep-free experience. These buyers self-selected out of seller contact. They also regretted their purchases 23% more than buyers who accepted seller involvement.
Combine this with the parallel Gartner finding that 67% of B2B buyers prefer a rep-free experience (Gartner, https://www.gartner.com/en/newsroom/press-releases/2026-03-09-gartner-sales-survey-finds-67-percent-of-b2b-buyers-prefer-a-rep-free-experience) and you have the central tension of modern B2B GTM. Buyers actively prefer a purchasing motion that produces measurably more regret. They know it, and they still prefer it.
Why? Because most seller interactions produce their own kind of regret — wasted time, misleading positioning, aggressive follow-up, pressure to close. Buyers have learned to avoid sellers not because sellers are useless but because sellers, on average, subtract from the buying experience.
That is the paradox Gartner has been quantifying for years. Buyers want less seller involvement because most sellers are bad. But buyers who take less seller involvement produce worse purchase outcomes. Both are simultaneously true.
The missing ingredient: trusted human validation
Every regret-driving pattern above has the same root cause. The buyer, at the decision moment, lacked access to a trusted, human, external validating voice.
Not "a seller." A trusted third party. Somebody who has been through the decision before, who has no incentive to sell, and who can tell the buyer whether the choice they're about to make holds up under real-world use.
Sixty-nine percent of B2B buyers turn to sales reps to validate AI-generated insights (Gartner, https://www.gartner.com/en/newsroom/press-releases/2026-05-20-gartner-survey-finds-sixty-nine-percent-of-b-two-b-buyers-turn-to-sales-reps-to-validate-ai-generated-insights). By 2030, 75% of B2B buyers will prefer sales experiences that prioritize human interaction over AI (Gartner, https://www.gartner.com/en/newsroom/press-releases/2025-08-25-gartner-says-by-2030-that-75-percent-of-b2b-buyers-will-prefer-sales-experiences-that-prioritize-human-interaction-over-ai). Gartner is telling us, in survey after survey, that buyers are asking for exactly the validating human voice that self-service and rep-free journeys strip out.
This is the missing ingredient. It's not "more seller contact." It's not "more content." It's trusted-human validation at the specific moments the buyer needs it. Reference calls. Peer intros. Customer-to-customer conversations that happen without the seller in the room.
What actually drives regret: five patterns
If I compile the deals I've seen produce buyer regret across a decade, the same five patterns show up.
1. The buying group skipped Validation
Gartner's six buying jobs framework has Validation as the fifth job — the checkpoint where the buying group re-confirms its decision by talking to peers. Deals where Validation happens quickly or gets skipped are the deals that regret. The Validation job is where trusted-human input matters most, and it's the job most under-attended by sellers.
For the mechanics of Validation, see our writeup on the six buying jobs.
2. The champion left before the value showed up
Even the best-selected product produces regret when the champion who bought it leaves the company before value accrues. The new stakeholder inherits the decision, doesn't know why it was made, and looks at the invoice with suspicion.
This is why champion tracking is a regret-prevention motion, not just a pipeline motion. Boomerang customers who instrument champion moves see $17M in aggregate pipeline from job-change signals — because they re-establish the buying context in the new org before regret sets in.
3. The buyer never met a peer using the product in production
If the closest thing the buyer heard from another customer was a marketing case study, the buyer is going to be surprised by real-world edge cases. Reference calls where the buyer talks to a peer running the product in production reduce regret specifically because they surface the edge cases before the deal closes.
4. Procurement compressed the timeline
Deals that get sped up at the end — usually to hit a quarter — produce regret out of proportion to their size. Validation gets rushed. Requirements don't get properly signed off. The exec sponsor signs on faith. Six months later, the buyer looks back and realizes they never actually verified the decision.
5. The rep never showed the buyer what the "no" looked like
Regret is downstream of not knowing the alternative. Buyers who never seriously engaged with the alternatives — who saw one demo and one PDF — are more likely to regret than buyers who did full evaluations. Counterintuitively, the best seller motion often includes helping the buyer evaluate two competitors properly, because a buyer who chose you after real comparison regrets less than a buyer who chose you by default.
Why AI SDR volume makes regret worse
Every AI SDR platform on the market is a regret-multiplier. Not because the technology is bad — because the motion it enables optimizes for the wrong outcome.
An AI SDR sends 200 emails to book 5 meetings. Of those 5, some fraction convert to a self-service or rep-lite purchase. Every one of those purchases lands in the 1.65× regret cohort Gartner already identified. The AI SDR looks great on the meetings-booked scoreboard. It looks terrible on the regret scoreboard.
By 2028, AI agents will outnumber sellers 10-to-1, yet fewer than 40% of sellers will report AI improved productivity (Gartner, https://www.gartner.com/en/newsroom/press-releases/2025-11-18-gartner-predicts-by-2028-ai-agents-will-outnumber-sellers-by-10x-yet-fewer-than-40-percent-of-sellers-will-report-ai-agents-improved-productivity). The reason 60% of sellers won't feel the lift is that AI-generated meetings produce lower-quality pipeline that closes at lower rates and produces more regret.
The AI-native GTM stack that wins the next five years isn't the one that generates the most meetings. It's the one that surfaces the right trusted-human validators at the exact moments buyers ask for them.
How to design a low-regret sales motion
Three principles.
One: build a Validation motion, not a POC motion. Most enterprise sellers over-invest in POCs and under-invest in structured customer references. Reverse the ratio. A well-run reference call from a peer in the buyer's exact vertical closes deals faster and produces less regret than a two-month POC.
Two: measure champion durability. If your customer champion changes role or leaves in year one, that's a regret risk. Instrument job changes and treat every champion move as a data point on regret exposure. Our champion tracking workflow walks through the mechanics.
Three: make the trusted-human intro a default step, not an escalation. Every enterprise deal in stages 4-5 should include at least one customer-to-customer call that the seller organized but wasn't on. This is the single highest-leverage anti-regret move available. Boomerang customers see 3-5× higher meeting conversion vs. cold on these intros — and 25% higher win rates on deals where they run.
What CROs should be measuring in 2026
If regret is downstream of revenue, then the CRO scorecard needs to include regret proxies alongside close rate. Some to consider:
- Reference-call attach rate: percentage of closed-won deals with a customer-to-customer reference call in stages 4-5.
- Champion durability: percentage of prior-year customers whose original champion is still in role at renewal.
- Second-buyer familiarity: for renewals, percentage of second-buyer stakeholders who report positive familiarity with the vendor before the renewal conversation opens.
None of these show up in a standard CRM report. All three predict regret with more accuracy than close rate does.
Frequently asked questions
How does Gartner define B2B buyer regret? Gartner defines regret as post-purchase dissatisfaction where the buyer, if given the chance to redo the decision, would choose differently or not at all. Their 2023 survey found 60% of technology buyers involved in renewal decisions regret nearly every purchase they make.
Why do self-service B2B buyers regret their purchases 1.65× more? Self-service buyers lack an external checkpoint. There's no trusted third party surfacing edge cases, validating assumptions, or connecting them to peers who've been through the same decision. They make choices on incomplete information and encounter surprises post-purchase.
Are rep-free buyers just being irrational? No. Buyers who prefer rep-free experiences do so because most seller interactions subtract from the buying experience. The paradox is that rep-free journeys produce measurably more regret. Both are true simultaneously. The solve isn't more seller volume — it's higher-quality trusted-human involvement at Validation.
What's the strongest predictor of a low-regret purchase? Purchase confidence. Gartner found high-confidence buyers are approximately 10× more likely to make a high-quality, low-regret purchase. Confidence is built primarily by external validation from peers and trusted third parties — not by seller-produced content.
Does AI SDR outreach increase buyer regret? On average, yes. AI SDR volume optimizes for meetings booked, which downstream produces lower-quality pipeline and higher regret. The productive use of AI in sales is to surface trusted-human validators, not to replace human interaction with more automated outreach.
What can sellers do about the 60% regret rate? Build a Validation motion. Instrument champion durability. Make trusted third-party intros a default step, not an escalation. Structured customer-to-customer reference calls in stages 4-5 are the single highest-leverage anti-regret move in enterprise B2B sales.
