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The Quota Lie
If more than half your reps miss the number, that is not a talent problem. That is a math problem you signed off on.
TL;DR
If 60% of your team is behind quota, the quota is the problem. Not the reps.
Stretch goals do not stretch performance. They walk your top reps to the door and reset everyone else's baseline down.
Real coverage math is 4x for enterprise. 5x when the market softens. The 3x figure everyone quotes is a comfort blanket, not a plan.
Monday Morning Move: Pick one person whose content you consume without engaging. Comment with a real point of view, then DM them what you took from it.
4-minute read below. Hit reply and let me know what you are seeing on your side.
I have to take a moment to recognize the beauty of where I am writing from today. Dale and I (along with Jake) had the privilege of presenting at the Arcadia Leadership Experience this week in Bozeman. Without hijacking this entire newsletter, it is safe to say that this was the single best “event” I’ve ever attended. More on that in a future podcast episode. But, if you are a Director+ looking to grow and develop your leadership skills and make lifelong friends, I highly recommend you check them out here.
A CRO I coach opened his Q2 board deck last week with the same slide I have seen ten times this year. 42% attainment, but a green forecast on H2. The board asked one question. "Is the team good enough?" He said yes. I told him after the call the answer he owed them was different. The team is fine, but the damn model is broken, and we need to get real honest about that real fast.
I have built and rebuilt comp plans across several companies in the last 18 months. More than I’d like to admit. In every one, the reps missing quota were not the problem. The reps missing quota were the tell. When more than 40% of a team lands under the number, the number itself is fiction. The effed up part is that 8/10 times, the board doesn’t want to hear that.
Quota is not a target. It is an assumption stack. Ramp time. Segment quality. Coverage ratio. Comp mix. Get one of them wrong and the whole plan lies to you every Friday. The reps take the fall, and the forecast rots. The best reps quietly update their LinkedIn and begin searching for a new gig behind your back while you spend Q4 hiring to fix a Q3 lie.
STRETCH GOALS ARE ATTRITION
The pitch is comforting. Set the number 15% above what the team can hit and the "stretch" pulls performance up. In practice, stretch quotas do the opposite. They tell your top reps they are behind on day one and tell your middle 60% that the game was rigged before they signed their comp plan.
The top reps don’t stretch… they leave. Recruiters know exactly when comp plans go live and exactly what target got moved. I have watched three deals close in a week for AEs who were at 130% the prior year and got handed a 20% quota bump with no segment change. If you built your model to keep the middle honest, understand you also built it to lose the top.
THE FIVE INPUTS THAT ACTUALLY MATTER
If you are re-cutting quotas for H2 right now, look at these before anything else:
Ramp curve by segment. Enterprise reps do not ramp at the same slope as mid-market. Model them separately.
Coverage assumption by stage. Not just pipeline in aggregate. Coverage on stage 3+ is what pays the number.
Comp mix vs. deal profile. If your reps close six deals a year at $250K, a 60/40 base-variable split is a retention risk. Weight it toward base at that deal profile.
Attainment distribution, not average. Two teams with a 78% average look identical on the board deck. One has half the team at 105%, and the other has half the team at 40%. Those are not the same company.
Ramp-adjusted quota. If a rep hits month five carrying a 12-month quota that assumed month three, you are penalizing tenure math you set yourself.
Set these five and the number stops being a lie. Miss one and you are back where you started, blaming the team for a model they never got to see.
THE 3X COVERAGE MYTH
95% of the rep-to-quota decks I see quotes 3x pipeline coverage. The 3x figure is a legacy of a market where win rates were 33% and cycle times were half what they are now. Neither is true in mid-market or enterprise B2B in 2026.
If your enterprise team is closing 18% and your average cycle is 91 days, you need 4x. If procurement adds another 30 days and CFO scrutiny doubles the touch count, you need closer to 5x. The 3x plan is not conservative. It is denial. And the CFO you build the plan with would thank you the first quarter your forecast holds instead of collapsing at 60%.
THE FIX IS BORING, THAT IS WHY NO ONE DOES IT
The fix for a broken quota is not a new SPIFF, a new stretch goal, or a new sales kickoff. The fix is pulling last quarter's attainment by rep, comparing it to the assumption stack behind that quota, and rebuilding the assumption stack. That is a two-day exercise if RevOps has clean data and a two-week exercise if they do not.
Most leaders skip it because the answer is uncomfortable. The board asked for stretch. You gave them stretch. Admitting the model was off means admitting you signed off on a forecast the math never supported. Every fractional CRO I know has had this conversation with a founder in the last 90 days. The ones who ran the exercise re-forecasted H2 with confidence. The ones who did not are burning through their top reps right now and calling it a talent issue.
MONDAY MORNING MOVE
Pick one person in your network whose content you have been consuming without engaging.
Do not just like it. Leave a comment that adds a point of view. Then DM them and say exactly what you took from it.
See what comes back. If nothing does, your network is not a network yet. It is a feed. The difference is reciprocity.
Add value from your point of view before you try to broadcast across your channel.
ON THE AIR
Jared Robin, founder of RevGenius and its 65,000 revenue professionals, joined Adam and Dale to argue that cold outbound is not dead. It is crowded. Response rates are down 40% year over year, and every team in the category is running the same sequences at the same ICP list.
Some key themes that came up:
Why response rates dropped 40% year over year and what actually changed
Why last year's winning teams are this year's mediocre ones
Context engines and the human layer AI cannot replace yet
Owned vs. rented audience, and what a real demand channel costs to build
What separates a community that drives pipeline from one that drives engagement
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