ThinkWork
Leader Calculator/Tool Free

Sales Coaching ROI Calculator

A step-by-step ROI model that turns extra coaching hours into a dollar business case, using your own ramp-time, win-rate, and coaching-cost numbers.

How to use it

Pull the ten inputs from your CRM, comp plan and Manager Self-Audit Quiz results, run them through the five formulas (or drop them straight into the worked-example structure), and use the ROI multiple as the business case for adding coaching hours.

What's inside

  • Ten defined inputs (ramp time, win rate, coaching hours, deal value, etc.) and where to source each
  • Explicit formulas for ramp-time value, win-rate lift value, and coaching cost
  • A net ROI and ROI-multiple formula
  • A fully worked numerical example end to end
  • A blank fill-in-your-own-numbers version
  • Guardrails for keeping the underlying assumptions honest

This models the revenue impact of investing more manager hours in coaching, using two levers coaching demonstrably moves, ramp time and win rate, plus the fully-loaded cost of the coaching hours themselves. Every assumption is exposed so you can swap in your own numbers.

Step 1: Gather your inputs

InputWhat it isWhere to find it
Reps on team (N)Headcount receiving coachingRoster
Fully-ramped quota (Q)Annual quota per ramped repComp plan
Current average ramp time (R_current, months)Time to first full quota-carrying quarterRamp reports / HR
Target ramp time with more coaching (R_target)Your assumption10–25% faster is a defensible planning range
Current win rate (W_current)Closed-won ÷ (closed-won + closed-lost)CRM
Target win rate with more coaching (W_target)Your assumption2–5 points is a defensible planning range
Average deal value (V)ACV or average deal sizeCRM
Current coaching hours/rep/month (H_current)Manager time actually spentManager Self-Audit Quiz results
Target coaching hours/rep/month (H_target)Proposed increaseYour plan
Fully-loaded manager hourly cost (C)Manager comp ÷ working hours/yearFinance/HR

Step 2, Ramp-Time Value

Faster ramp = more months at full productivity per rep per year.

`` Months saved per rep = R_current − R_target Ramp value per rep = (Months saved ÷ 12) × Q Total ramp value = Ramp value per rep × N ``

Step 3: Win-Rate Lift Value

`` Point lift = W_target − W_current Extra deals won per rep = (Opportunities per rep per year) × Point lift Total win-rate value = Extra deals won per rep × V × N ` (If opportunities/rep isn't tracked cleanly, substitute: Total win-rate value = Current team revenue × (Point lift ÷ W_current)`)

Step 4: Coaching Cost

`` Extra hours/month = H_target − H_current Annual extra coaching hours = Extra hours/month × 12 × N Coaching cost = Annual extra coaching hours × C ``

Step 5: Net ROI

`` Gross value = Total ramp value + Total win-rate value Net value = Gross value − Coaching cost ROI multiple = Gross value ÷ Coaching cost ``

Worked Example

Assumptions: N=8 reps · Q=$300,000 quota · R_current=5 months · R_target=4 months · W_current=22% · W_target=26% · V=$28,000 average deal · Opportunities/rep/year=40 · H_current=3 hrs/month · H_target=6 hrs/month · C=$85/hour

Ramp value:

  • Months saved = 5 − 4 = 1
  • Ramp value/rep = (1÷12) × $300,000 = $25,000
  • Total ramp value = $25,000 × 8 = $200,000

Win-rate value:

  • Point lift = 26% − 22% = 4 points (0.04)
  • Extra deals/rep = 40 × 0.04 = 1.6 deals
  • Total win-rate value = 1.6 × $28,000 × 8 = $358,400

Coaching cost:

  • Extra hours/month = 6 − 3 = 3
  • Annual extra hours = 3 × 12 × 8 = 288 hours
  • Coaching cost = 288 × $85 = $24,480

Net ROI:

  • Gross value = $200,000 + $358,400 = $558,400
  • Net value = $558,400 − $24,480 = $533,920
  • ROI multiple = $558,400 ÷ $24,480 ≈ 22.8x

Your Numbers (blank template)

InputYour value
N (reps)
Q (quota)
R_current / R_target/
W_current / W_target/
V (avg deal)
Opportunities/rep/year
H_current / H_target/
C ($/hour)
Ramp value
Win-rate value
Coaching cost
Net value
ROI multiple

Keeping the assumptions honest

  • Treat 10–25% ramp-time reduction and 2–5 point win-rate lift as a reasonable planning range, not a guarantee, pressure-test against your own historical data where you have it.
  • Re-run this quarterly with actuals; the first run is a business case, the second run is proof.
  • If ramp-time or win-rate data is too noisy at your team size, lean on the ramp-time calculation alone, it's the more stable of the two.
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