Attribution & Revenue·100% Stripe Reconciled

Know exactly which touchpoint generated your Stripe revenue

No more phantom attribution where Google, Meta, and LinkedIn all claim credit for the same customer. Kaya ties every dollar to verified Stripe invoices.

0 $double-counted revenue across overlapping advertising channels
Kaya Cycle · Financial Truth

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
Reconciled Attribution · R0Stripe Verified

Attribution Ledger · August Cohort

Governance enforced · Deterministic rules verified

Verified MRR Added

+$3,420/mo (confirmed by Stripe)

Top Channel (Revenue)

Comparison SEO Pages (54% of MRR, CAC $18)

#2 Channel (Revenue)

Google Search Ads (32% of MRR, CAC $64)

Unprofitable Channel

LinkedIn Ads (CAC $310 for 1 subscriber)

No external action mutated without financial policy clearance.

Before / After

Why legacy approaches fall short

Without Kaya · The legacy approach

Every ad platform claims credit for every single conversion

Add up Google, Meta, and LinkedIn self-reported conversions and you'll find they claim 2× your real bank deposits.

  • Platform pixels taking credit for existing word-of-mouth users
  • Lack of an objective, neutral attribution ledger
  • Distorted CAC numbers leading to disastrous scaling decisions
With Kaya · The deterministic engine

The explicit mathematical formula behind every conversion

Kaya shows the exact attribution equation, recorded touchpoints, and bridges anonymous clicks to actual Stripe subscriptions.

Native Stripe Invoice Matching

Only verified Stripe bank transactions count toward true ROAS and CAC metrics.

Transparent Multi-Touch Attribution

Clearly shows first-touch discovery, mid-funnel nurture, and last-touch closing interactions.

True LTV & Blended CAC Engine

Auditable mathematical formulas surfaced right in the UI, zero black-box magic.

The Growth Cycle

Kaya's 4-step growth loop

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

01understand

Touchpoint Journey Tracking

Logs UTM parameters, organic referrers, and entry pages without cookie bloat.

02decide

Neutral Attribution Modeling

Applies neutral multi-touch formulas with stated limits and full transparency.

03experiment

Budget Re-weighting

Recommends cutting channels that generate vanity signups with high immediate churn.

04learn

True Channel CAC Update

Real CAC per paying account is updated to guide subsequent growth cycles.

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.

Deterministic Math GuaranteeAll revenue, ROAS, and CAC equations are computed by deterministic TypeScript math, never LLM output.

Frequently asked questions

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

Is Kaya's attribution privacy and GDPR compliant?

Yes. Kaya uses a privacy-first attribution architecture that avoids invasive cross-site fingerprinting.

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