Trust the signals behind every growth decision.
GrowthBlueprint maps the events your public funnel should send, observes browser-visible runtime evidence, and packages the difference into a clear QA and implementation workflow.
Revenue signal report
Browser-visible QA · linear.app
Expected specification compared with observed runtime evidence
Expected events
Observed events
Needs validation
Lifecycle coverage
Observed in browser evidence
QA workflow
Expected spec
Ready
Runtime evidence
Observed
Internal systems
Validate
Why it matters
Your dashboard sees outcomes. It does not explain the signal path.
Tracking plans, shipped implementation, and destination reporting can drift apart quietly. GrowthBlueprint gives teams a browser-visible layer for comparing intent with observable behavior, without overstating what public evidence proves.
01 · Strategy
Expected specification
What the funnel should measure, with event intent and properties.
02 · Implementation
What shipped
Client-visible tags, requests, storage, consent, and page behavior.
03 · Reporting
What teams act on
CAC, ROAS, cohorts, lifecycle reporting, and experiment decisions.
How it works
From public URL to actionable QA workflow.
Map expected signals
GrowthBlueprint reads the public page structure and turns conversion moments into an implementation-ready event spec.
Observe browser evidence
A live browser session watches client-visible analytics, tag activity, campaign context, and direct-URL handoffs.
Compare and hand off
Expected signals and observed evidence become a scoped QA report, prioritized fixes, exports, and acceptance criteria.
What you get
One workbench for specification, evidence, and handoff.
Built for growth, analytics, and engineering teams that need shared language around what was expected, what was observed, and what still requires internal validation.
Signal specification
Lifecycle events, properties, intent, and implementation guidance inferred from real page structure and conversion paths.
Browser-visible QA
Client-visible requests, tags, events, cookies, storage signals, consent state, and cross-step continuity in one evidence view.
Implementation packet
A practical route from finding to fix, with prioritized actions, exports, QA checks, and report links.
CRO experiment kit
Turn the highest-impact friction hypothesis into a test plan.
Hypothesis, target metric, audience, holdout guidance, and a deployable JavaScript variation using the existing report data.
Evidence stays scoped.
Public browser scans cannot prove backend-only CAPI, CRM enrichment, warehouse joins, or every custom persistence path. Ambiguous evidence remains validation-needed.
Built for
Growth PMs
Connect tracking quality to campaign, activation, and experiment decisions.
Built for
Performance marketers
Inspect the browser-visible signals feeding reporting and retargeting workflows.
Built for
Analytics engineers
Compare expected taxonomy with observable implementation before migrations and launches.
Start with browser evidence
See what your public funnel is sending.
Run a signal check, review observed and validation-needed findings, then hand the team a clearer implementation and QA packet.