A high-performance product analytics platform and real-time user event ingestion engine. Built with Next.js, TypeScript, Tailwind CSS, and ClickHouse/PostgreSQL, offering an agile alternative to bloated enterprise analytics suites with zero cookie-banner requirements.

Modern privacy regulations and ad-blockers break up to 35% of standard Google Analytics tracking. Metrix Analytics provides a first-party, privacy-compliant event ingestion pipeline that restores 100% data visibility, tracks user product engagement, and optimizes conversion funnels.

Metric

Target Achieved

Business Impact

Event Ingestion Latency

< 10ms

Real-time live visitor stream without processing delays

Data Recovery vs GA4

+28% Events

Immune to ad-blockers via first-party subdomain routing

Privacy Footprint

0 Cookies Required

Fully compliant with GDPR, CCPA, and PECR standards

Throughput Capacity

50M+ Events/mo

Columnar database compression and fast aggregations

⚡ Lightweight First-Party Tracking Script: Under 2KB JavaScript snippet with asynchronous non-blocking beacons that preserve 100/100 Lighthouse performance.

🔄 Conversion Funnel Visualization: Interactive step-by-step conversion drop-off analysis to pinpoint checkout and onboarding friction.

📊 Real-Time Live Event Stream: Visual waterfall of user sessions, page views, custom event triggers, and geographic presence.

🎯 Cohort Retention Analysis: Weekly and monthly cohort heatmaps tracking organic retention curves and feature adoption.

🛡️ Zero Personal Data Exposure: Cryptographic one-way daily salt hashing for session uniqueness without fingerprinting or storing IP addresses.

🔌 Unified SDK Ecosystem: Native client SDKs for Next.js, React, Node.js, Python, and raw REST webhooks.

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flowchart LR subgraph ClientWebsites["First-Party Client Apps"] SDK["2KB Metrix Tracking SDK"] Beacon["navigator.sendBeacon API"] end subgraph IngestionGateway["Edge Ingestion Gateway"] EdgeWorker["Edge Ingest Endpoint (&lt;10ms)"] SaltHash["Daily Cryptographic Salting"] end subgraph AnalyticalStore["High-Scale Analytical Core"] Queue["Async Event Batching Queue"] ColumnarDB[(ClickHouse / Columnar Store)] DashboardUI["Next.js Real-Time Analytics UI"] end SDK --> Beacon Beacon --> EdgeWorker EdgeWorker --> SaltHash SaltHash --> Queue Queue --> ColumnarDB ColumnarDB --> DashboardUI

Frontend Dashboard: Next.js (App Router, Turborepo Monorepo)

Language: TypeScript (Strict Mode)

Data Storage: ClickHouse / PostgreSQL

UI & Components: Tailwind CSS & shadcn/ui

Charts: Tremor Visualizations & D3.js primitives

Open http://localhost:3000 to view the analytics console.

Architected and maintained by Niall.M — Senior Webmaster, Principal Frontend Engineer & E-Commerce Architect.

🌐 GitHub: github.com/niallmuk

📧 Email: niall@nialluk.com

💬 Telegram: @nialluk

📱 WhatsApp: +44 7446317825

💼 Contra Profile: Available for bespoke analytics instrumentation, event pipelines, and product tracking contracts.

Privacy-Centric Real-Time Product Analytics Engine & Event Ingestion Pipeline

Readme

AGPL-3.0 license

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