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Sales Capacity Planning: How Many Reps to Hit Your ...
orm-tech.com
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“It assumes thirty reps each produce a full quota in the same twelve months.” Here is the claim I will defend for the rest of this guide: any plan that ends in a single number of reps has already failed. The only output worth shipping is a hiring schedule, a list of dated starts, because capacity is a function of when people sell, not how many of them you eventually employ. Two reps with identical quotas can differ by a full quarter of production depending on whether they started in January or July. A headcount cannot see that. A schedule is built from it.
Need $30M, quota is $1M, hire thirty reps. That arithmetic sits on a slide in roughly every annual planning deck I have reviewed, and it is wrong before the meeting ends. It assumes thirty reps each produce a full quota in the same twelve months. Not one will. The new hires are ramping. Half the existing team lands below quota. Someone resigns in April. The slide says the number is covered. The team it describes does not exist. “any plan that ends in a single number of reps has already failed.” I have built revenue and forecast models for B2B SaaS companies for two decades. The capacity models that survive contact with the year share one habit: they treat every rep as a fraction of a quota, discounted on purpose, and they treat a start date as the most important field in the row.
Discount one: ramp “Ramp is also not a switch: nobody sits at zero for six months and then jumps to 100%.” So hire dates belong in the model as a primary field. A January start on a six-month ramp sells at partial capacity for half the year. A July start contributes almost nothing this year. Same quota, same rep quality, and a headcount total cannot tell them apart. The schedule is the only place the difference shows up.
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