Sales Rep Payback Period: Month-by-Month Calculation for B2B
· 2 min read
Forget annual ROI — track the month your new sales hire actually breaks even. A step-by-step payback-period model with ramp curves and pipeline lag built in.
Step 1: Calculate Fully-Loaded Cost
Base salary is only 55–65% of total cost. Add: employer social contributions (25–45%), variable compensation (commissions/bonuses), tools and software licenses (CRM, engagement, data — €200–€500/month), equipment and workspace, management overhead (allocate 10–15% of sales manager salary). The fully-loaded number depends on your structural choice — see [build in-house SDR team vs hire remote talent](/blog/build-in-house-sdr-team-vs-hire-remote-talent) for the model comparison and [what a remote SDR costs in Europe](/blog/what-does-remote-sdr-cost-europe) for the baseline benchmark.
Example: €48,000 base + €16,800 social costs (35%) + €12,000 target variable + €3,600 tools + €6,000 management overhead = €86,400 annual fully-loaded cost (€7,200/month).
Step 2: Attribute Pipeline and Revenue
For SDRs: track meetings set → opportunities created → revenue closed from SDR-sourced pipeline. Use your CRM's pipeline source field consistently. Apply a fair attribution window — typically 90 days from meeting to opportunity creation.
For AEs: revenue closed directly attributed to their pipeline, plus a weighted contribution from SDR-sourced meetings they worked. Multi-touch attribution gets complex — start simple and refine over time.
Step 3: Account for Time Lag
B2B sales cycles mean today's activity produces revenue in 3–9 months. A rep who started in January might not show meaningful closed revenue until Q3. Evaluating ROI too early leads to premature termination of reps who are actually building healthy pipeline.
Use leading indicators during ramp: activity volume (weeks 1–4), meeting quality scores from AEs (weeks 4–8), opportunity creation rate (months 2–4), and pipeline value (months 3–6). Lagging revenue confirms what leading indicators predicted.
Still comparing hiring models?
The payback-period math changes depending on whether you build in-house or use flexible remote capacity. For the full model comparison, see [build in-house SDR team vs hire remote talent](/blog/build-in-house-sdr-team-vs-hire-remote-talent). To compare sourcing economics, read [TalentBridge vs recruitment agencies](/blog/talentbridge-vs-recruitment-agencies).
Step 4: Calculate and Interpret
1. ROI Formula: (Revenue Attributed to Rep − Fully-Loaded Cost) ÷ Fully-Loaded Cost × 100. 2. Target: 3–5x for SDRs (they generate pipeline, not close deals — attribute a fair share of closed revenue). 3. Target: 5–8x for AEs (directly closing revenue). 4. If an SDR costs €86,400/year and generates pipeline that produces €350,000 in closed revenue, ROI = (€350,000 − €86,400) ÷ €86,400 = 3.05x. 5. Below 2x after 12 months signals a problem — with the rep, the process, or the market.
Frequently Asked Questions
What is the payback period for a new sales hire?
The month when cumulative revenue attributed to the rep exceeds cumulative fully-loaded cost. For B2B SDRs in Europe, typical payback is 4–7 months; for AEs, 6–10 months — depending on sales cycle length and ramp speed.
How do you model month-by-month sales hire ROI?
Track fully-loaded cost per month (constant) against cumulative attributed revenue (rising as the rep ramps). Plot both curves — the crossover point is your break-even month. Include ramp productivity: 0% month 1, 30% month 2, 70% month 3, 100% month 4+.
What leading indicators predict payback speed?
Activity volume weeks 1–4, meeting quality scores weeks 4–8, opportunity creation rate months 2–4, and pipeline value months 3–6. Reps hitting leading-indicator benchmarks typically break even 2 months faster.