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LazarevychGrowth Tools

Marketing planning & scaling risk

Marketing Budget Calculator & Growth Planner

Estimate how much to invest to reach a monthly revenue-growth target — without assuming customer acquisition cost stays flat as marketing spend scales.

Compare Conservative, Base and Upside scenarios, then add 12-month benchmarks or Historical Data to test how defensible the plan is.

Calculate Your Budget

Planner workspace

Start with your latest completed month

Use one completed month as your baseline. Advanced adds optional 12-month benchmarks and historical data.

Preview the calculator with realistic sample data.

All monetary inputs must use the same currency.

Current baseline — one completed month

Total acquisition-focused marketing spend for the last completed month.

Marketing spend divided by newly acquired customers using the same customer definition as revenue per customer.

Revenue attributed to one acquired customer for the same measurement window and customer definition.

Growth versus the last completed month. Enter 20 for a 20% increase.

Use one attribution, customer and currency definition across every input. Do not mix a partial current month with completed-month data.
How this works

Quick uses your latest completed month to build a transparent assumption-based range.

Advanced adds comparable 12-month benchmarks, scaling sensitivity and optional monthly history.

Scaling sensitivity controls how strongly CAC may change as spend grows. It changes forecast assumptions, not evidence quality.

Historical evidence improves reliability only after valid completed months are saved and the model checks pass.

Decision preview

Plan with a range—not false precision

Add your latest completed month to compare Conservative, Base and Upside outcomes.

Recommended budget
—

Calculated from your inputs

Expected revenue
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Calculated from your inputs

Expected customers
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Calculated from your inputs

Planning risk
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Calculated from your inputs

Conservative

Compared at one planning budget

Base

Compared at one planning budget

Upside

Compared at one planning budget

Why the model is different

Flat-CAC forecasts hide scaling risk

Acquisition efficiency can deteriorate as spend expands into higher-cost audiences, channels or placements. The planner models that uncertainty explicitly instead of multiplying the latest CAC forever.

Conservative

Tests a wider CAC increase and a more demanding scaling curve.

Base

Uses the central planning assumptions and anchors the recommended range.

Upside

Shows potential over-performance without presenting it as a guarantee.

Evidence depth

Quick first, Advanced when the evidence supports it

Historical Data is an optional evidence layer inside Advanced — not a third competing top-level mode.

01

Quick

4 inputs · assumption-based forecast

Start with the last completed month and receive a transparent risk-adjusted planning range.

02

Advanced

12M benchmarks · scaling assumptions

Add longer-term CAC, spend, conversion-rate and revenue benchmarks when they are comparable.

03

Historical Data

Optional layer inside Advanced

Use completed monthly observations for diagnostics and regression only when the evidence gates are satisfied.

Methodology overview

How the forecast becomes a decision

The deterministic model keeps inputs, assumptions and interpretation separate so the same structured input produces the same result in the browser and on the server.

  1. 01

    Keep the actual baseline

    Last-month spend, CAC and revenue per customer define the factual starting point in every mode.

  2. 02

    Set one revenue target

    The planner converts the monthly growth target into a common revenue objective for all scenarios.

  3. 03

    Model scaling risk

    Scenario curves allow CAC to change as spend grows instead of assuming efficiency remains flat.

  4. 04

    Compare at one budget

    Conservative, Base and Upside outcomes are evaluated at the same planning budget for a consistent decision view.

Decision path

Use the forecast to choose the next evidence step

The budget range answers one planning question. Continue with the tool, service or case study that resolves the constraint behind the result.

Size the test before scaling

Translate a conversion assumption into an experiment with a defensible sample size and decision rule.

Open the A/B Test Calculator

Frequently asked questions

Marketing budget planning questions

Concise answers about inputs, evidence levels, historical data and the limits of the recommendation.

How do I calculate a marketing budget from a revenue target?

Start with the last completed month: marketing spend, customer acquisition cost (CAC), revenue per acquired customer and target monthly revenue growth. The Planner converts that baseline into one target revenue level, then solves the budget required under Conservative, Base and Upside scaling assumptions.

Why does the calculator use CAC instead of a percentage of revenue?

A percentage-of-revenue rule does not describe how many customers the spend may acquire. CAC connects marketing investment to acquired customers, while revenue per acquired customer connects those customers to the revenue target.

Does CAC remain constant when marketing spend increases?

Not necessarily. Additional spend may reach more expensive audiences, placements or channels. The Planner therefore tests explicit scaling assumptions instead of extending the latest CAC as a guaranteed constant.

What is the difference between Quick and Advanced mode?

Quick uses the four last-month inputs and versioned stress assumptions. Advanced can add comparable 12-month benchmarks and scaling sensitivity. Historical Data sits inside Advanced and can add monthly diagnostics when enough valid observations are available.

How much historical data is needed?

Six completed months are the minimum for Historical diagnostics. Eight or more valid months may support the forecast only when every model-quality gate passes, while 12 or more months are recommended for stronger evidence.

Is the recommended budget range a confidence interval or guarantee?

No. It is a deterministic Base-to-Conservative planning range, not a statistical confidence interval, probability of success or guaranteed outcome. The result should be used with staged validation and business judgment.

What should I validate before increasing the budget?

Confirm that spend, CAC and revenue use comparable definitions; check attribution and conversion quality; review LTV and payback constraints; and test whether channels can absorb more spend without unacceptable efficiency loss.

When should I use LTV/payback analysis or a growth audit?

Use LTV and payback analysis when profitability or capital recovery constrains the decision. Use a growth audit when tracking, attribution, historical consistency or the assumptions behind a high-risk plan need independent review.

When a calculator is not enough

Turn the forecast into a funded growth plan

Channel allocation, LTV and payback constraints, unreliable tracking or a target outside the supported range require a staged decision roadmap — not only a larger budget number.

Turn This Forecast Into a Growth PlanDiscuss Your Growth Plan

Disclaimer

Results are planning estimates based on user-provided data and versioned deterministic assumptions. They do not guarantee growth, future acquisition efficiency or financial performance. Read the full Disclaimer