The deals you lose after you have already won.

You win the evaluation. The champion is enthusiastic. The pilot delivers.

Then the deal moves to next quarter. Then the quarter after. Then it becomes a no decision, and your CRM records the reason as price. It was not price. Price is the polite exit.

The four wrong fixes

• Replace the sales leader. This is a design problem, not a person problem. A new leader inherits the same cycle and spends a year discovering what the last one already knew.
• Add pipeline. More top of funnel into a stage where deals already stall does not produce more revenue. It produces a longer queue and a worse conversion rate.
• Discount. Concessions buy nothing when the blocker is risk to production. They teach buyers to wait.
• Open another category. PLM is slow, so you push into QMS. Different buyer, different trigger, different stall point. Now you have two underperforming categories and a team carrying two learning curves.

What is actually happening

Your buyer is not purchasing software. They are purchasing a change to a running production environment.

Nobody in their organisation is rewarded for putting new software into a working line. Everybody is exposed if output drops. So the rational answer is later, and later has no owner.

You do not sell seven. You sell one.

That is exactly the point. There is no generic manufacturing software sale. PLM does not stall where QMS stalls, and MES does not stall where maintenance stalls, so any benchmark built on industrial software as a whole is an average of seven unrelated cycles and describes none of them accurately.

Most software go to market playbooks were built for a sale that never had to enter a running production line. The stages, the exit criteria, the forecast categories, all designed around a different kind of risk. They work well, right up to the point where they meet a plant.

Your category has a stall point of its own, and it usually sits later in the cycle than a standard funnel assumes. The work is to design the cycle around it: stages that follow how your category is actually bought, exit criteria that test for production risk early, and a forecast that behaves accordingly.

That is a go to market design decision, which is why it sits at your level rather than inside the sales team. Segmentation, hiring and forecasting all follow from it, and all three get considerably easier once the cycle reflects the category you sell into.

If your pipeline holds deals that are technically won and commercially stuck, that is a cycle design question, and it is a solvable one.