aibizhub
Structured methodology As of 2026-04-24

How Marketing Budget Allocator works

What the tool assumes, what data it pulls from, and what it cannot tell you.

1. Scope

Allocates a total marketing budget across channels with per-channel ROAS estimates and a blended return projection. It does not perform media-mix modelling or account for incrementality.

2. Inputs and outputs

Inputs

  • totalBudget number (currency)
  • channels array

    Each: name, allocationPercent, estimatedRoas.

Outputs

  • perChannelSpend

    totalBudget × allocationPercent.

  • perChannelRevenue

    spend × roas.

  • blendedRoas

    totalRevenue / totalBudget.

Engine source: src/lib/marketing-budget-allocator/engine.ts

3. Formula / scoring logic

spend_i  = total_budget * alloc_i
revenue_i= spend_i * roas_i
blended  = sum(revenue) / total_budget

4. Assumptions

  • Channel ROAS is independent (no saturation, no cross-channel halo).
  • Allocation percentages must sum to 100%.

5. Data sources

This tool relies on user inputs and standard arithmetic; no external benchmark data is bundled. When a question depends on an industry reference (for example, typical churn rates or hourly-wage medians), the linked adjacent tools cite their primary sources on their own methodology pages.

6. Known limitations

  • Real channels saturate at higher spend levels. Doubling Facebook spend does not double revenue past a point.
  • Multi-touch attribution is a separate problem the tool cannot solve.

7. Reproducibility

Input
budget = $10,000; channels = [{SEO, 40%, 5×}, {Paid, 40%, 2.5×}, {Email, 20%, 8×}].

Expected output
spend = 4k/4k/2k, revenue = 20k/10k/16k, blended = 4.6×.

8. Change log

  • 2026-04-24 methodology page first published.
Business planning estimates — not legal, tax, or accounting advice.