marketing-plan · budget-planning

Budget Planning — Scientific Methods for Setting the Marketing Budget

The problem with most SaaS marketing budgets is that they're pulled out of thin air — a number that hopefully doesn't constrain growth too much, but doesn't anchor in customer-acquisition economics either. The result: when someone asks "why this number?" there's no answer.

Two scientific methods solve this. Use one (not both) in Section 8 (Revenue) and Section 10 (12-month outlook) of every plan.

Excerpted and adapted from Founding Marketing by Corey Haines.

Method 1 — Revenue-Based (5–40% of annual revenue)

Direction: budget → revenue goal.

You start with what the company can comfortably spend on marketing, then forecast what revenue that spend can plausibly generate.

The ranges

Posture % of ARR When to use
Conservative (profit-preserving) 5% Established business focused on profit distribution; bootstrapped; founder-paid customer base
Standard growth 15–25% Most healthy SaaS in the seed-to-Series-A range
Aggressive growth (deploying raised capital) up to 40% Recently funded round, mandate to deploy fast, board accepts burn

For reference: public SaaS companies routinely report sales-and-marketing spend between 20% and 55% of revenue (Zoom historically ran between 20% and 55% across years).

The math (Conservative example)

Business at $1M ARR, 5% allocation:

The math (Aggressive example)

Business at $1M ARR, 40% allocation:

Two keys to making this method work

  1. Know your blended CAC (see "Calculating CAC" below)
  2. Match the allocation percentage to your actual ambition. A founder running 5% allocation while telling the board they expect to triple revenue is showing two incompatible signals.

Method 2 — Goal-Based (reverse-engineered from the revenue target)

Direction: revenue goal → budget.

You start with the revenue goal and work backward through the unit economics to derive the budget required to hit it. Best for:

The formula

Marketing budget = [(New ARR / (ARPC × 12)) × CAC] / annual retention rate

Worked example: $1M ARR → $2M ARR

Step 1 — How much new ARR per customer?
ARPC × 12 = $50 × 12 = $600 ARR per new customer

Step 2 — How many new customers do we need?
$1,000,000 / $600 = 1,667 new customers

Step 3 — What's the raw acquisition cost?
1,667 × $100 CAC = $166,700

Step 4 — Account for churn (15% annual = 85% retention)
$166,700 / 0.85 = $196,118 (round to $200K)

When someone asks how you got to the budget, walk them through the four steps. It's defensible.

Why this formula and not something simpler

The four steps each correspond to a real economic reality:

Required buffer

Always add 10–20% as "experimental budget" on top of the formula output. CAC is the main dependency; if CAC comes in 50% higher than estimated, the cascading effect is missing the revenue goal. It is much cheaper to overestimate CAC than to underestimate it.

The experimental budget also funds the experiments that find your next channel before your current one plateaus (see growth-patterns.md — channel S-curves).

The VC growth path (3-3-2-2-2 rule)

Once a company has crossed $1M ARR and taken a Series A, the implicit benchmark VCs expect is:

Year ARR multiple Cumulative ARR (from $1M start)
Year 0 — $1M
Year +1 3× $3M
Year +2 3× $9M
Year +3 2× $18M
Year +4 2× $36M
Year +5 2× $72M
Year +6 2× $144M
Year +7 2× $288M

That's the 3-3-2-2-2 rule. Useful when:

Most companies miss it. That's fine. Knowing the benchmark gives the team a defensible reason to either match it or explicitly choose not to.

Calculating CAC (blended, not paid-only)

If there's no historical CAC, use a baseline: one year of revenue from the smallest paid plan. Deploy the budget, capture actual CAC data, replace the baseline with the measured number for the next planning cycle.

For an established CAC calculation, CAC must be blended. Include:

Then divide by the number of new customers acquired in the period. That blended number is the one to use in either budgeting method.

The mistake to avoid: calculating CAC from paid ad spend alone. A company that "doesn't run ads" still has a CAC — it's just hidden in the content team, the founder's time, the SEO contractor, the conference booth.

The reality check on forecasting

This whole framework derives a budget and a revenue goal — not a 12-month month-by-month forecast accurate to the dollar.

Unless the company is publicly traded, all forecasts are educated guesses. No startup under $100M ARR reliably hits forecasts to the month. The honest framing for the plan:

What's actionable: how to deploy the budget, what concrete moves to execute, what to adjust when real data comes in.

What's not actionable: trying to forecast traffic, pipeline, retention curves, conversion rates, and channel mix all down to the decimal point and expecting that forecast to hold. Founders who over-engineer the forecast tend to spend the plan period explaining variance instead of executing.

Rule for the plan: the budget number is honest. The annual goal is honest. The month-by-month projection is illustrative.

How this flows into the plan

Section What to include
3 (Current state) Current monthly marketing spend broken down by line (paid, tools, content, headcount, retainers). Compute current %-of-ARR allocation.
8 (Revenue) The unit-economics table (CAC, ARPC, churn) that feeds whichever budget method you're using.
10 (12-month outlook) Apply Method 1 or Method 2 to derive the 12-month budget and the resulting revenue goal. Anchor against the 3-3-2-2-2 rule if Series A+ and VC-backed.
11 (Ops stack) Show the budget allocation across the AARRR stages — what % to Acquisition, Activation, etc. The ops-stack mapping informs which line items grow when the next funding tier unlocks.
13 (Open decisions) If CAC is unknown or contested, flag it as the highest-impact open decision — every other number depends on it.

When to choose which method

For most plans in the seed-to-Series-A range, Method 2 is more useful — it forces the conversation about whether the goal is funded.


Source: https://github.com/coreyhaines31/marketingskills/skills/marketing-plan/references/budget-planning.md · v1.1.1 · MIT License (c) 2025 Corey Haines.