OWN YOUR DATA
Nameless Analytics is a self-hosted and privacy-first digital analytics platform for power users, based on Client and Server side Google Tag Manager, Firestore and BigQuery.
Collect, analyze, and activate first-party data with total ownership and privacy by design.
DATA FLOW
Every event travels through infrastructure you own, from the first click in the browser to the tables and dashboards your team queries.
Discover the full architecture on GitHub.
KNOWLEDGE HUB
Detailed implementation guides and technical references for every layer of the stack.
From server-side tagging and infrastructure setup to advanced data modeling and AI-powered analysis.
What is Nameless?
Self-hosted, privacy-first, server-side data collection on Google Cloud. Total ownership of your raw, first-party event data.
Quick Start
Set up your server-side GTM, BigQuery warehouse, and Firestore database. Deploy the custom templates to launch your pipeline in minutes.
AI Support
Q&A agents for implementation plus a conversational BigQuery Studio assistant. Query your warehouse in plain natural language.
Client-Side
A first-party tracker tag for granular interactions, with persistent IDs, a sequential event queue, and smart Consent Mode support.
Server-Side
Origin validation, bot protection, and IP-based geolocation. Process, enrich, and forward every event inside your own GCP project.
Data storage
Firestore for real-time user snapshots, BigQuery for deep historical analysis: a structured timeline of every state transition.
Reporting & Tables
16 pre-built SQL table functions for users, sessions, pages, events, ecommerce, funnels, and consents, plus a full fields catalog.
Attribution & Campaigns
Single and multi-touch attribution, model comparison, and media plan analysis on your own campaign taxonomy and channel grouping.
Streaming Protocol
Send events straight from your backend or offline sources. Attribute purchases to existing sessions through a secure API protocol.
Privacy & Governance
A GDPR deletion script wipes any client ID from BigQuery and Firestore. Consent tracking and privacy-by-design geolocation included.
Google Cloud costs
Pay-per-use only: free below 500k events a month, $1-3 at 2M, around $15 at 5M. Small and medium sites stay inside the Free Tier.
Open Source
Released under the Apache License 2.0. Read it, fork it, and run it on your own Google Cloud project with zero vendor lock-in.