» Direct answer
The fully loaded cost of a quota-carrying SDR is roughly 2× base salary — not the 1.25–1.4× loading factor most revenue plans use. A $62K base becomes $127K–$131K once variable comp, employer payroll taxes, benefits, 401(k) match, equity amortization, equipment, recruiting, and ramp drag are counted. The standard factor covers taxes and benefits and stops — which is exactly why headcount plans come in over budget every year.
Ask a CRO what an SDR costs and you will get the base salary times a polite loading factor — usually 1.25×, sometimes 1.4× if finance insisted. Ask the CFO to reconcile what the sales development function actually consumed at year end, and a different number appears: close to double the base, every seat, every year.
Neither person is lying. They are counting different things. The loading factor in most planning models was built for salaried back-office roles: it covers statutory taxes and benefits and nothing else. A quota-carrying seat breaks that model in four places at once — variable comp, equity, turnover, and ramp — and each omission compounds the others.
This article decomposes the multiplier line by line, from the $62K offer letter to the $127K+ reality. It is the compensation layer of the full model in The True Cost of a Seven-Person SDR Team; the tooling layer lives in The tech stack tax.
» Key takeaways
- The real multiplier is ~2.05× base without equity, ~2.1× with it. The common 1.25–1.4× factor misses roughly $44K per seat per year.
- Variable comp is the biggest omission. For an $85K-OTE role, $23K of earnings never appears in a base-salary-driven budget.
- PTO drag is a divisor, not a line item. ~230 productive days against 260 paid days makes every unit of output ~13% dearer than the salary math implies.
- Recruiting and ramp must be amortized over realistic tenure — under two years for SDRs — not over the forever-employee your model assumes.
Where does the standard loading factor come from — and why is it wrong here?
The 1.25–1.4× factor is a back-office artifact. It was derived for stable salaried roles where taxes and benefits are the only meaningful additions to base pay. Apply it to a quota-carrying, high-turnover, slow-ramping role and it fails on all three properties at once.
The statutory portion it covers is real and predictable: employer FICA at 7.65%, federal and state unemployment insurance, workers' compensation — call it $7,600 on our benchmark seat. Benefits add the next tranche: employer share of health, dental, and vision premiums plus a 3% 401(k) match — about $14,200. Base plus those two categories is $83,800, or 1.35× base. This is the number most models stop at, and it is the last point in the calculation where the model still feels defensible.
Everything after this point is what separates a planning artifact from a cost model.
What do the missing categories add?
Roughly $44K a year per seat, in four categories the standard factor never touches. Each one is defensible to exclude in isolation; excluding all four is how a plan misses by a third.
1. Variable compensation — $23,000
An SDR is hired against an $85K OTE, and a functioning team pays most of it: that is the point of the plan. Budgeting the base and treating commissions as "self-funding from pipeline" double-counts the pipeline — the meetings were the job, not a bonus surprise. At plan, variable comp is the single largest gap between the offer letter and the truth.
2. Equity — ~$3,800/year
A typical mid-market SDR grant of ~$15K vests over four years: $3.8K a year of stock-based compensation. It never touches payroll, so it never enters the sales budget — but it dilutes the cap table and lands on the P&L all the same. Multiply by every seat on the go-to-market org and the "invisible" line becomes material.
3. Recruiting and backfill — ~$7,600/year amortized
A recruited SDR costs $12–15K to land — agency fee or the loaded cost of internal recruiting — and stays under two years. Amortize acquisition cost over realistic tenure, not over an assumed forever, and each seat carries ~$7,600 a year in perpetual re-hiring cost. This is not a one-time expense; at SDR turnover rates it is an annuity.
4. Ramp drag — ~$9,200/year amortized
A new SDR takes roughly three months to reach full productivity, producing at about half rate while drawing full compensation. That is ~$16K of paid-but-unproductive cost per hire — re-purchased at every backfill. Spread across the tenure of the average seat: ~$9,200 a year.
Table 1 — From base salary to fully loaded: the complete decomposition
| Layer | Annual $ | Running total | Multiplier |
| Base salary | $62,000 | $62,000 | 1.00× |
| + Variable comp (at plan) | $23,000 | $85,000 | 1.37× |
| + Employer payroll taxes | $7,600 | $92,600 | 1.49× |
| + Benefits & 401(k) match | $14,200 | $106,800 | 1.72× |
| + Equipment & workspace | $3,000 | $109,800 | 1.77× |
| + Recruiting/backfill (amortized) | $7,600 | $117,400 | 1.89× |
| + Ramp drag (amortized) | $9,200 | $126,600 | 2.04× |
| + Equity (typical grant, amortized) | $3,800 | $130,400 | 2.10× |
» LOADING_FACTOR — sdr_seat_benchmark# what the plan says vs what the seat costs...
» plan_model $62K × 1.25 = $77,500
» taxes+benefits statutory + insurance = covered
» variable_comp $23,000/yr = MISSING
» equity_amort $3,800/yr = MISSING
» recruit+ramp $16,800/yr = MISSING
# true multiplier: 127–130K / 62K
REAL FACTOR: ≈ 2.05× base — plan understates by ~$50K/seat/yr
» Decompose your own seats
Your plan is off by ~$50K per seat. Multiply by your headcount.
MatrixLabX runs this decomposition against your actual comp bands, benefits invoices, and turnover history — then models the same output delivered by governed digital labor, where the loading factor is exactly 1.0×: the price is the price.
2.05×
real multiplier on base
~$50K
understated per seat per year
1.0×
loading factor on digital labor
Book a Discovery Call →
What is PTO drag — and why does every model miss it?
PTO drag is the gap between days you pay for and days you get output from — and it hides because it is a divisor on productivity, not a line item on a budget. Nothing gets added to the cost; the output the cost buys quietly shrinks.
The benchmark seat is paid for 260 working days. Subtract 15 PTO days, 10 company holidays, and 5 sick days, and the business receives about 230 productive days — 88.5% of what it paid for. Every meeting, every SQL, every dollar of sourced pipeline therefore costs ~13% more than a naive per-day calculation implies.
This matters most exactly where planning models are most confident: capacity math. A model that staffs "seven SDRs × 15 meetings a month" has silently assumed 260 productive days per seat. Layer PTO drag under the ramp and turnover effects from the pillar model and theoretical capacity erodes to roughly three-quarters of what the plan promised — while cost stays at 100%.
"When midmarket enterprises embed AI into their core operations, they eliminate bureaucratic drag, allowing them to out-maneuver larger competitors who are constrained by legacy silos."
» George Schildge · CEO & Chief AI Officer, MatrixLabX
How should a CRO use the corrected multiplier?
Three ways: budget with it, benchmark with it, and buy with it. A corrected loading factor is not an accounting curiosity — it changes real decisions.
- Budget with it. Any headcount request below 2× base for quota-carrying roles is understated. Present the fully loaded number to finance first; credibility compounds.
- Benchmark with it. Cost per meeting and cost per SQL must divide the fully loaded run rate by effective output. On the benchmark seat that is ~$1,250 per held meeting — not the $344 the base-salary math suggests.
- Buy with it. Every make-vs-buy comparison — agency, outsourced SDR firm, or a governed AI SDR — is distorted when the in-house column shows 1.25× base. Compare against 2.05×, and the alternatives reprice dramatically. Most AI SDR vendors don't publish a number; the one that does is on the Sales Accelerator pricing page.
The third use is where the multiplier earns its keep. Governed autonomous agents carry none of the loading stack — no payroll tax, no benefits, no equity, no PTO, no recruiter, no ramp. Labor as a Service pricing maps spend to executed workflows and outcomes, so the number in the plan is the number on the invoice. The loading-factor error class simply does not exist.