Research ยท September 2, 2026
What the published methods actually are, who publishes them, and what the numbers are. Sources and dates on everything.
There is no percentage of revenue, so practitioners swap the denominator. Four are in common use: percent of capital raised, percent of burn, working backwards from a next-round ARR target, and zero-based from the funnel. Only one of the four has a fully published, step-by-step process behind it, and that is Emily Kramer's at MKT1. Everything else is a benchmark range rather than a method.
There is no primary dataset for pre-revenue marketing budgets. Gartner's CMO Spend Survey, The CMO Survey, SaaS Capital and Forrester all measure companies that have revenue, which is exactly the population that does not answer this question. Every number below is either an operator framework, an agency's observed client data, or a synthesis. Treat the ranges as calibration, not as evidence.
| Method | Published figure | Source, date |
|---|---|---|
| Percent of capital raised | 10–20% of funds raised at seed, producing $50K–$250K/yr | AAJ Consult, How Much Should a Startup Spend on Marketing?, 2026-06-08 |
| 10–25% of raised capital, deployed across the 18–24 months after a Series A | Stackmatix Series A analysis, cited by Zulu Method, 2026-06-30 | |
| 10–20% of total seed capital toward go-to-market preparation (brand, site, foundational assets), explicitly not ad spend | C-I Studios, 2026-03-29 | |
| Percent of burn | 20–30% of monthly burn at pre-seed; 15–30% of quarterly burn pre-revenue generally | Stackmatix, Startup Marketing Spend Benchmarks by Stage, 2026-08-24 |
| Pre-revenue/seed: sales and marketing combined at 80–120% of burn rate, marketing taking 30–40% of that, so 25–45% of burn | Pipeline Road, 2026-01-29 | |
| 30–60% of a small revenue base, framed as percent of burn, producing $0–$100K/yr pre-PMF | AAJ Consult, 2026-06-08 | |
| Backwards from a next-round ARR target | Three interchangeable formulas. See section 2. | MKT1 (Emily Kramer), 2024-12-11, updated 2025-06-12 |
| Zero-based from the funnel | New ARR → customers needed → opportunities needed → pipeline needed → channel budget at a cost per opportunity | Pipeline Road, 2026-01-29 |
MKT1 is the only source with a complete published process rather than a range. Emily Kramer ran marketing at Asana, Carta and Astro, advises 100+ B2B startups, and publishes the template. Her seven steps:
Step 1 has three interchangeable formulas. Run all three deliberately, because each returns a different number and the spread is the point.
Benchmarks: CAC ratio 0.7 to 1.2. Marketing share of total CAC 35 to 45%.
Benchmarks: payback 12 to 18 months. Target customers = new ARR target / ACV.
Benchmark: 3:1, which Kramer notes is the version founders and investors already understand.
Note what step 2 does: headcount comes out before categories get filled. That ordering is why comparing your number to someone else's is usually meaningless, which is the subject of section 4.
| Stage | Monthly | Annual | Basis given | Source, date |
|---|---|---|---|---|
| Pre-seed, $0–1M raised | $1,000–5,000 | $12K–60K | 20–30% of monthly burn | Stackmatix, 2026-08-24 |
| Pre-seed / pre-PMF | — | $0–100K | % of burn | AAJ, 2026-06-08 |
| Pre-revenue B2B tech specifically | $3,000–8,000 | $36K–96K | % of monthly runway | Salient PR, 2026-07-16 |
| Pre-revenue to $500K ARR | $5,000–15,000 | $60K–180K | Excludes founder time | Pipeline Road, 2026-01-29 |
| Seed, $1–5M raised | $5,000–20,000 | $60K–240K | Channel validation | Stackmatix, 2026-08-24 |
| Seed | — | $50K–250K | 10–20% of funds raised | AAJ, 2026-06-08 |
| Seed / pre-PMF | $3,000–15,000 | $36K–180K | Prove one or two channels | Zulu Method, 2026-06-30 |
| Series A, $5–20M raised | $20,000–80,000 | $240K–960K | Scale proven channels | Stackmatix, 2026-08-24 |
| Series A | — | $300K–1.5M | 20–30% of ARR | AAJ, 2026-06-08 |
The ranges cluster tightly: a pre-revenue company that has raised a seed round is described almost everywhere as spending somewhere between $3K and $20K a month, and the gap between the low and high end is mostly whether headcount is counted.
"The denominator shifts as you scale. Early on you're spending against funds raised or cash burn; later you're spending against revenue or ARR. Mixing those up is the single most common benchmarking error."
AAJ Consult, 2026-06-08
Two companies can both say they spend 10% and be running completely different programs, because one counts fully loaded team cost and the other counts only paid media. A fully loaded number includes salaries and benefits, agencies and contractors, software, paid media, content and creative production, and events.
markcmo.com, 2026-07-10; Artisan Growth Strategies, 2026-07-15
Before quoting any benchmark, pin down two things about it: what the denominator is, and whether headcount is inside the numerator. Most published figures do not say, which is why they disagree so widely.
The only source found with a full category split specifically for the pre-revenue to $500K stage:
| Category | Share | Monthly | Covers |
|---|---|---|---|
| Outbound tools and prospecting | 30% | $1,500–4,500 | Apollo, Sales Navigator, sending infrastructure |
| Content and SEO | 25% | $1,250–3,750 | Freelance writer, Ahrefs, basic design |
| Paid ads | 20% | $1,000–3,000 | Small targeted campaigns for demand capture |
| Website and landing pages | 10% | $500–1,500 | Webflow or site improvements |
| Tools and analytics | 10% | $500–1,500 | CRM, GA4, email |
| Events and networking | 5% | $250–750 | Local events, industry meetups |
| Total | 100% | $5,000–15,000 | Excludes founder time |
Pipeline Road, SaaS Marketing Budget: Allocation Frameworks, Benchmarks, 2026-01-29. Their stated benchmark inputs: OpenView SaaS Benchmarks 2025, KeyBanc SaaS Survey 2025, Bessemer Cloud Index, Gartner MarTech Survey 2025, plus their own client programs.
The consensus process, stripped of the agency content wrapped around it:
Sources split on whether pre-PMF companies should run paid at all. Salient PR says paid acquisition rarely makes sense before product-market fit because there is no validated message to scale. Directive says the opposite, that high-intent demand capture should be the priority precisely because it produces the clearest commercial feedback. Both are arguing about the same thing: whether the goal is to learn what converts or to build a narrative first.