SDR Ramp Calculator

What SDR Ramp Actually Measures

Ramp is the window between an SDR's start date and the month she produces the meeting volume, SQL quality, and downstream pipeline of a tenured peer. The Bridge Group's 2024 SDR Metrics Report — the most-cited public dataset on this role — puts the industry average at roughly 3.2 months, a figure that has barely moved across their annual benchmarks. That average hides a wide spread: SMB velocity SDRs ramp in 2–3 months, mid-market in 4–6, and enterprise SDRs carrying six-figure ACVs typically need 9–12.

Ramp matters because the dollars keep flowing out even when the pipeline isn't flowing in yet. Every month of ramp is a month of full salary paid against partial output, and most capacity plans quietly ignore that cost. This tool surfaces it explicitly as a ramp drag number — the sum of monthly loaded cost × (1 − productivity) across the ramp window. For a $119K fully-loaded SDR on a 6-month slow-start curve, ramp drag lands near $34K per head — roughly 28% of the loaded cost paid while productivity is still climbing.

How to Calculate SDR Productivity

Start with meetings-per-month at full productivity. At $20K–$40K ACV mid-market, that number lives in the 15–25 range. Multiply through the funnel: meetings × meeting-to-SQL rate × SQL-to-Opp rate = opportunities per month. Opps × ACV × pipeline-credit share gives pipeline dollars created; opps × win rate × ACV gives booked ACV. The four dials that move this output most are meetings volume, meeting-to-SQL quality, ACV size, and credit share (how much of sourced pipeline your comp plan attributes to the SDR versus marketing).

The flywheel SVG above renders those conversions as animated particles. Faster spin = better funnel. If the meeting → SQL rate drops from 50% to 30%, the first-stage particle visibly slows down and the mature monthly pipeline figure falls proportionally. That visual coupling is why tuning the funnel inputs produces an instant read on whether a rate change meaningfully moves payback or barely registers.

SDR Unit Economics Explained

Unit economics for an SDR is the ratio of gross profit created per year to fully-loaded cost. Annual booked ACV × gross margin ÷ fully-loaded cost = the multiple that matters. Programs clearing 2× are investable. Programs clearing 4–5× at maturity are top-quartile and typically indicate a tight ICP, strong sales engagement tooling, and a motion where outbound leverage compounds with tenure.

Programs under 1× at maturity are structurally broken — the SDR doesn't pay for herself even after ramp completes. That usually means one of four things: ACV is too low for outbound economics (below ~$8K it rarely works), meeting cadence is sub-15/mo (broken tooling or bad list hygiene), meeting-to-SQL rate is under 30% (ICP drift), or loaded cost is inflated by manager allocation on a tiny team (one manager over two SDRs is expensive per head). The Report Card's Unit Economics dimension grades this explicitly.

Fully-Loaded Cost per SDR: What to Include

A fully-loaded SDR cost is not the base salary on the offer letter — it is everything the business actually spends to keep that seat productive. Five components: base salary (US mid-market ~$55K), OTE variable (typically 30–40% of base = $17K–$22K), benefits and employer taxes (20–30% load ≈ $17K–$23K on a $77K comp), tooling ($3K–$6K for sales engagement, dialer, data, and LinkedIn Navigator), and an allocated slice of the SDR manager's cost ($15K–$25K per rep at a 6–8 span of control).

For a typical mid-market setup those components roll up to about $119K/year. Enterprise SDRs carrying six-figure ACVs push this to $130K–$150K between higher base, richer benefits, and more expensive tooling stacks. The Inputs panel above lets you tune each component independently, and the "Fully-loaded cost" readout updates live so you can see which line is actually moving the number.

SDR Ramp Benchmarks by Deal Size and Industry

Deal size dictates ramp length more than anything else. SMB velocity ($6K–$15K ACV) ramps fast because cycles are short and product demos are self-evident: 2–3 months is typical, and anyone still under-indexing at month 4 is usually miscast for the role. Mid-market SaaS ($20K–$50K ACV) runs the standard 4–6 month arc because multi-stakeholder sales cycles give fewer feedback loops per quarter. Enterprise ($100K+ ACV) extends to 9–12 months — deals are measured in quarters, not weeks, so judging an SDR's quality takes two cycles of data before the signal exceeds noise.

Vertical matters less than deal size. DevTools SDRs selling to engineering teams ramp on roughly the same timeline as horizontal SaaS SDRs selling to the same ACV tier — the gating factor is how long it takes to see a meaningful number of closed-won outcomes, and that is a function of cycle length. The Presets row above loads calibrated defaults for each of these archetypes.

The Hidden Cost of SDR Attrition

The Bridge Group reports 14–16 month average SDR tenure with about 12.8 months of full productivity before someone quits, transfers, or gets promoted to AE. At a 40% annualized attrition rate — consistent with a roughly 30-month implied tenure — every hire triggers about 0.4 replacements over 24 months, and every replacement carries the same ramp drag as the original. The true 24-month cost per SDR isn't one loaded cost; it is one loaded cost plus 0.4 ramp-drag cycles.

The zone logic in this tool flips to "broken" when implied tenure runs shorter than payback. That test is the most important one a board will ask about any outbound program: will the SDR stay long enough to cover her own cost? If the answer is no, the program is a net drain on company cash no matter how good the funnel looks. The Attrition Re-Ramp panel above shows the true 24-month cost per seat once replacement math is included.

SDR First-Year Pipeline Expectations

First-year pipeline from a new SDR is front-loaded zero and back-loaded everything. On a 6-month slow-start curve, months 1–3 produce close to nothing (5–15% of mature output), months 4–6 climb from 25% to 75%, and months 7–12 operate at roughly 100% of mature productivity. First-year booked ACV for a mid-market SDR at 20 meetings/mo with a 50% / 60% / 22% funnel and $24K ACV lands near $350K–$450K against a $119K cost — a ~3× return that looks great on paper but only shows up in months 9–12.

Budget accordingly. If you hire an SDR in January expecting a pipeline contribution to Q1, you will be disappointed and so will your board. The honest conversation is: this hire is a Q3-and-forward bet. The 24-month ramp chart above shows exactly where the productive and ramping headcount lives across the horizon — and where the payback line crosses.

Building an SDR Hiring Plan That Does Not Break Unit Economics

A hiring plan that works backward from an ARR target needs three constraints: AE absorption (you cannot feed more meetings than your AEs can work), manager span of control (one SDR manager handles 6–8 reps before quality craters), and payback math (a cohort cannot be bigger than your cash runway can absorb if payback is 14 months). The reverse calculator above solves for SDR count given a target ARR, then sanity-checks the implied AE bench.

A common failure mode: a founder hires 4 SDRs at once because the target needs 4 SDRs worth of pipeline, without noticing that 80 meetings/month will overflow a 2-AE bench with 50 meetings/month of capacity each. Half the pipeline rots; payback stretches from 12 to 20 months; the board asks why the motion is not working. The AE Absorption panel flags this before it happens — if the ratio is above 1.2×, add an AE seat before you add the third and fourth SDR.

SDR Quota Math for SaaS

SDR quota is typically stated as meetings-per-month or SQLs-per-month rather than bookings — SDRs do not close, so they are measured at the top of the funnel. Standard B2B SaaS quotas: 15–25 qualified meetings/mo at mid-market, 10–15 at enterprise, 25–40 at SMB velocity. Paid-on-quota commissions run $50–$200 per booked meeting plus a modifier on SQL acceptance rate to prevent meeting-farming.

The quota math this tool cares about is downstream: pipeline created from those meetings. A 20-meeting quota with 50% meeting → SQL and 60% SQL → Opp yields 6 opps/mo; at $24K ACV and 100% pipeline credit that is $144K of pipeline created per month per SDR — $1.7M annualized. Most teams only credit 50–100% of that pipeline to the SDR depending on policy; the Pipeline Credit slider in the Advanced panel tunes this directly.

Outsourced SDR vs In-House — The Decision Matrix

Outsourced SDR (RaaS) vendors like MemoryBlue, Operatix, SalesRoads, and Belkins price at roughly $3K–$8K per booked SQL, ramp in about 30 days, and can be torn down with a month's notice. That speed and flexibility matters for three use cases: validating a new ICP before committing in-house headcount, bridging a sudden AE absorption gap, or running a second motion in a market where your in-house team has no domain expertise.

In-house wins past month 12–18 for most B2B SaaS with ACVs above $20K. Institutional knowledge compounds, feedback loops tighten, downstream conversion improves because the SDR actually knows the product, and per-unit cost drops as the team moves up the productivity curve. Below $15K ACV the math often flips — outsourced stays cheaper per SQL at that scale, and in-house rarely clears payback. The In-House vs Outsourced mode above runs both tracks side-by-side against a 24-month horizon.

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