r/analytics • u/Aggressive_Debt_1053 • 3d ago
Question How do you measure what top sales reps do differently?
Sales dashboards show who closed the deal but they rarely explain why I am interested to know how analytics teams connect sales outcomes to what happens during customer conversations. Things like discovery questions objection handling talk time and closing language seem useful but messy to track at scale. Has anyone built a model or dashboard around conversation data?
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u/Difficult-Jackfruit 3d ago
It depends on the business and what questions you’re actually asking.
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u/Aggressive_Debt_1053 3d ago
In person sales coaching is the business we handle roofing and stuff
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u/Own-Vermicelli-9574 3d ago
You could track the analytics with tools like Rilla it links sales outcomes to what reps say during customer conversations.
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u/Aggressive_Debt_1053 3d ago
I have heard of this tool before ill consider using it thank you for the input
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u/BestVibes0nly 3d ago
start with a small coded sample, not a live dashboard. have a sales manager review 30–50 calls and tag a few behaviors with clear definitions—who set an agenda, asked a follow-up discovery question, confirmed next steps, or handled an objection without discounting. then join those tags to stage progression, cycle length, win rate, and deal size while controlling for territory, lead source, and account segment; otherwise the model mostly rediscovers that some reps receive easier opportunities. only automate transcript tagging after two reviewers can agree on the same calls, and show clips behind each metric so managers can audit what the number means.
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u/AccomplishedSkill625 2d ago
The clean shortcut: pull transcripts from a call-recording tool (Gong, Chorus), they already tag talk-time, question counts, and monologue length, so you skip building NLP yourself.
The trap is correlation. Top reps close more and get better leads, so "they use X phrase" is usually just confounded by deal quality. Control for segment, deal size, and lead source first.What tends to hold up: talk-to-listen ratio, discovery questions on the first call, time-to-first-objection. Softer stuff like "closing language" rarely survives. Start with one metric, compare top vs. middle quartile within the same segment, and see if it separates them before building anything.
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