Budget Allocation·Statistical significance first

Make every dollar count on a modest marketing budget ($500–$1,500/mo)

Stop spreading thin across six channels. Kaya concentrates your cash where experiments can reach true statistical power.

100 %of executed tests reach actionable statistical confidence
Kaya Cycle · Financial Discipline

Direct Product Simulation

How Kaya executes on this exact play

All data below mirrors the exact logic and guardrails of the Kaya engine.

agent.kaya.local / workflow
Runway · $1,000/moOptimized

Budget Allocation Plan · Current Month

Governance enforced · Deterministic rules verified

Google Search (Intent)Funded · threshold met

$500

SEO Content AssetsFunded · 3 pages

$300

Opportunity ReserveHeld for winning variants

$200

LinkedIn AdsRejected: min $1,500 budget needed

$0

No external action mutated without financial policy clearance.

Before / After

Why legacy approaches fall short

Without Kaya · The legacy approach

Budget dilution: the #1 killer of bootstrapped growth

Putting $100 on Meta, $100 on LinkedIn, and $100 on Google yields zero statistical learnings—just fragmented waste.

  • Too many channels with insufficient sample size to exit platform learning phases
  • No clarity on whether failure was tactical or fundamental
  • Zero reserve held for scaling winning signals
With Kaya · The deterministic engine

Focused allocation with an explicit opportunity reserve

Kaya enforces minimum budget thresholds per experiment to guarantee conclusive data, keeping 20% in reserve for winners.

Statistical Power Calculator

Rejects experiments whose projected click sample size is too weak to detect a real lift.

Dynamic Budget Matrix

Allocates 80% to 1 paid channel + 1 organic content pillar, holding 20% in dry powder.

Impulse Protection Guardrails

Limits pacing spikes so ad platform algorithms don't burn extra budget inefficiently.

The Growth Cycle

Kaya's 4-step growth loop

Understand → Decide → Experiment → Measure: no guesswork, no hallucinated prompts.

01understand

Runway & Goal Audit

Ingests your monthly marketing runway and target customer acquisition cost.

02decide

2-Channel Concentration

Disqualifies cost-prohibitive channels (e.g. $12 CPC LinkedIn ads) in favor of high-intent search.

03experiment

30-Day Paced Testing

Distributes spend smoothly to prevent premature budget exhaustion early in the month.

04learn

Learnings per Euro Spent

Every dollar spent yields either paying accounts or an explicit suppression rule.

Security & Governance

Your guardrails for this use case

The agent is never a black box. Every external mutation is governed by deterministic rules hard-coded in our policy engine.

Anti-Fragmentation PolicyBlocks creating more than 2 concurrent paid experiments when monthly budget is under $1,000.

Frequently asked questions

Everything you need to know to get started with this play.

What is the recommended minimum monthly budget?

You can start at $0 using organic plays. For paid search experiments, we recommend a minimum of $300/mo.

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