Ideal Deal Profile

Teams that adopt qualification run into the same problem. A checklist like BANT confirms budget, authority, need and timing, and once it's in place deals start passing. Everything that passes goes onto the sales pipeline — the board that lays out live deals by stage — and at the start of a quarter that board looks reassuring.

The problem surfaces at the end of the quarter. Sofia faced exactly this at Pagedeck. Twenty deals had cleared qualification and gone onto the board, and three of them closed. The other seventeen weren't rejected; they simply never moved. The contacts still said they were interested, the budget was still there, and the next meeting kept sliding another two weeks.

A qualification checklist separates the companies that can buy from the ones that can't. But among the ones that can, speed varies enormously. Some deals reach signature in three weeks and others sit in a qualified state for eight months. The checklist says nothing about that gap, so a rep staring at twenty open deals ends up ranking them on instinct.

An ideal deal profile turns that instinct into a record. Instead of predicting which deals will go well, it writes down the shape of the deals that actually went well over the past year and holds new opportunities against it.

Lay out every deal that closed in the last year in one table, then extract the traits the fast, durable ones had in common. The exercise runs in five steps.

1. Collect every closed deal. Record more than the contract value: alongside it, write the sales cycle — the elapsed time from first contact to signature — and whether the customer is still active a year later. Without those two columns there is no way to tell a good deal from a large one.
2. Draw the line for a good deal. Usually that means it closed faster than the average cycle and is still running after a year. Not the largest contracts. A big deal that drags for six months and then lapses at the first renewal is a common story.
3. Look at the losses too. Keep the deals that stalled after qualifying and the ones that went to a competitor in their own group. Comparing against them is how you tell a trait that belonged only to the winners from a trait that both groups shared.
4. Keep only facts that were observable while the deal was live. "The customer was engaged" is a verdict available after the fact, so it can't be a condition. "A department head joined the first meeting," "they were already running another collaboration tool," "an internal migration with a fixed deadline was underway" all get confirmed on the first call, so they can.
5. Cut the list to three or four conditions. Write ten and nobody checks them all. It has to be something a rep can cover inside a thirty-minute first call.

One more condition shows up on most of these lists: whether the deal has a champion, someone inside the customer's organization who advocates for the purchase. At the same company, a deal with a champion moves through internal approval on its own, while a deal without one leaves the seller pushing each approval step from the outside.

The conditions get rebuilt about every six months. Change pricing or ship a major capability and the shape of the deals that close well changes with it.

The first moment for this list is right after the opening conversation. When a discovery call — the first session spent understanding the customer's situation and problems — ends, the rep checks what they heard against the three or four conditions. Three out of three books a follow-up this week; one out of three moves to next week's queue. This is where the same working day gets allocated.

It also changes how the pipeline reads. Two deals at the same stage do not have the same odds if one meets three conditions and the other meets none. Assigning a flat probability per stage inflates the sales forecast; reading the condition count alongside the stage takes some of that inflation out.

It gives weight to the decision to walk away. When a deal that meets none of the conditions has sat in the same place for three months, disqualification — the decision to drop a poor-fit prospect early — becomes much easier to argue. The reason stops being "it doesn't feel right" and becomes "it looks nothing like the deals that closed last year."

Finally, it trains new reps. Three conditions compress what a team learned across a year, so someone with no history at the company can decide in their first week which deals deserve more of their time.

"This one hits two of our three conditions. I'm putting it at the top of the week."

It resembles last year's winners, so it gets time first.

"No department head on the first call. We should expect a long cycle."

Nobody inside the account is pushing yet, so signature will take a while.

"I'll keep it on the board, but it meets none of the conditions, so I left it out of the quarter's number."

Worth working, not worth forecasting.

Pagedeck built its list in the company's second year. Sofia moved the forty-one deals closed that year into a table and sorted by cycle length. The top ten shared three things: a department head attended the first meeting, another collaboration tool was already in use, and an internal migration with a fixed deadline was in progress.

The bottom ten had almost none of that. What they had instead was a single contact evaluating alone, with the deal stalling at the point where that person had to escalate. Grace put the three lines on the first page of the sales deck, and weekly reviews started opening with "how many does this one hit?"

The most common misreading is treating the conditions as the signature of a large contract. "Good deal" suggests revenue, so the jump is easy. What this list actually separates is speed and durability. Large deals usually carry more approval layers, which makes them slow, and the longer they run the more likely the contact changes jobs mid-deal. Build the conditions around deal size and the whole team ends up working the slowest opportunities, with fewer deals closing by quarter end than before.

The other error is reading the conditions as a guarantee rather than a prior. A deal that hits all three resembles last year's winners; it is not promised to close. That means the conditions never justify skipping a verification step. Their job ends at ranking twenty deals against each other, and everything after that gets checked the usual way.