I've watched enterprise revenue teams spend two years nurturing a lead, then lose the deal at the finish line because the POC turned into a stall.

The math on this has gotten ugly. A POC costs $35K to $70K to run. Six out of ten end in no decision. Enterprise win rates have dropped from 25% to under 18% in the last few years.

So I sat down with Noam Harel (Demostack), John Care (author of Mastering Technical Sales), and Gilad Komorov (three-time CRO) for a working session on why.

John dropped the number I keep repeating to sales leaders.

42% of enterprise deals end up won by Do Nothing Incorporated. DNI. The customer chose to keep their current system, reallocate the budget, or just not decide.

Competitive analysis in enterprise sales usually stops at the named vendors in the deal. DNI almost never makes the matrix, which means teams are building tactics for a fight they're less likely to lose while ignoring the fight they're more likely to lose.

John's fix is structural. Put DNI in every competitive matrix. Build a battlecard for it. Track win rate against it.

The counter to indecision is consensus. Every additional stakeholder you pull into the buying group is one more person who has to say no to preserve DNI's win. Multithreading isn't a nice-to-have. It's the only real weapon against no decision.

Gilad and John kept coming back to the same reframe from different angles.

The default frame for a POC is technical validation. The product either does the thing or it doesn't. When it does, the assumption is that the deal moves.

Gilad's counter: the POC is about building alignment around value, impact, and what the customer actually needs to move forward. The technical win is table stakes, and everything past it is where the sale actually happens.

John made the case with a story from his years as a CIO.

He was evaluating $4.5M in programmer productivity software. Three vendors ran POCs. They scored 74, 70, and 58 on the technical evaluation. Normal logic says the 74-point vendor wins.

The 70-point vendor won.

Their SE walked through the demo feature by feature and said: "John, by doing this, you save two and a half weeks off your development schedule. By doing this, you save another twelve days." Eight weeks of savings, mapped directly to the eight-week delay John was trying to avoid.

The 70-point vendor didn't have the better product. They had the better linkage from product to business outcome.

The Challenger Sale research backs it up: 53% of the purchase decision came down not to the product itself but to the customer's experience of the evaluation process.

John's team at Up 2 Speed has run the numbers across hundreds of clients.

Roughly 60% of demos and 50% of POCs happen too early in the sales cycle. The reason is structural: when a sales team doesn't know what to do next, the default move is to escalate. Rep says "let's do a demo." Customer says yes. Rep says "let's do a POC." Customer says yes. Everyone is doing something. Nobody is qualifying.

John's mental model: seven levels of sales effort. References. Reference visits. Three tiers of increasingly customized demos. POC. Full production pilot.

Sales teams skip levels one through five and dash straight to six by default. The teams that win use levels one through five to earn the right to run a POC that will actually convert.

Gilad's rule from his CRO seat: no POC starts without full MEDDPICC completion and executive validation that budget will be allocated on success. If the champion can't confirm that, the POC doesn't happen.

Enterprise win rates have dropped from 25% to under 18% in the last few years. The POC is the stage where most of that erosion is happening.

It's also the stage where the most leverage exists to reverse it.

The full breakdown goes deeper on Gilad's three-by-three alignment framework, the paid POC debate, the AI monitoring bot every POC should have, and the six specific patterns that kill enterprise deals at this stage.

Want to learn from more Revenue Creators? Join the RevGenius community and be part of the movement rewriting the GTM playbook.

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