Their best rep ranked third in their biggest segment
We grouped 2,420meetings from an EdTech sales team into segments by what prospects said on the intake form, then laid each rep's close rate over every segment. The team's highest-volume closer won one segment outright and ranked third in the largest one, where another rep closed 23 points higher. No single rep was best everywhere.
The takeaway: routing every lead to your "best" rep quietly underfills the segments where someone else closes more.
Same leads, one routing rule: round-robin
MedLeague books pre-med students into sales calls off a single intake form. With round-robin assignment, every prospect was spread evenly across the team, so each segment landed on strong-fit and poor-fit reps in equal measure. The blended close rate looked healthy at 52.9%. The blend was hiding who actually closed what.
Close rate by segment, by rep
The same five reps, working five segments off identical inbound demand. Read it down a column and the rep-fit jumps out: nobody is best at everything.
| Segment (prospects) | Rep A | Rep B | Rep C | Rep D | Rep E |
|---|---|---|---|---|---|
Pre-Med Research Beginners 765 prospects | 45%n=114 | 68%n=33 | 49%n=36 | 36%n=31 | 24%n=125 |
Cancer Research Explorers 447 prospects | 50%n=61 | 31%n=20 | 42%n=35 | 26%n=17 | 20%n=72 |
MCAT-Stage Research Seekers 390 prospects | 37%n=66 | 49%n=18 | 12%n=15 | 20%n=22 | 15%n=71 |
Close rate by prospect segment, for prospects who completed the intake form. The best-fit rep in each segment is outlined. Rates are empirical-Bayes smoothed; per-cell sample sizes (n) range 15 to 125. Rep A is the team's highest-volume closer.
The same rep wins one segment and trails in another
Pre-Med Research Beginners
765 prospects, the largest pool and the one that drives the most revenue. Rep B closes it at 68%. Rep A, the team's highest-volume closer, manages 45% here and ranks third. Routing this segment by rep rank instead of rep fit leaves roughly a quarter of its winnable deals on the table.
Cancer Research Explorers
In the next-largest segment, the order reverses. Rep A closes it best at 50%, while Rep B, who dominated the beginners, drops to 31%. There is no single "best rep" to route everything to. Fit is a property of the pairing, not a line on the leaderboard.
This is the pattern segment-aware routing is built to catch: send each segment to the rep who actually closes it, and the same team converts more from the same pipeline. The deeper logic is in our write-up on prospect segmentation and rep fit.
The gap is the opportunity
The segment-by-rep gaps above are measured. Closing the routing and reliability gaps they expose, applied to MedLeague's real numbers, models out to +55.2% in annual revenue, about $150,793, from the same booked demand and the same 28.1% no-show rate they started with. The full revenue model, with the no-show side included, is in the original MedLeague case study.
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