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.

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 Analytics?

A first-party analytics pipeline built on Google Tag Manager, Firestore and BigQuery. You own the raw, unsampled event data and how it is reported.

Quick start

A web and a server GTM container, a Google Cloud project, BigQuery and Firestore. Create the tables, import the three templates, verify in GTM Preview.

AI support

A Q&A notebook for implementation questions, and a conversational analysis agent in BigQuery Studio that queries your tables in plain language.

Client-side collection

The Tracker Tag builds each event, applies consent and page context, and sends it in order to your server endpoint. Ready for SPAs and cross-domain.

Server-side processing

The Client Tag validates every request, resolves user and session in Firestore, writes the enriched event to BigQuery and can forward it in real time.

Data storage

Firestore keeps the latest state of every user and session; BigQuery keeps every event with its full context, for unsampled historical analysis.

Reporting scopes

16 scopes in BigQuery turn raw events into users, sessions, pages, ecommerce, funnels, attribution and campaign datasets, plus a fields catalog.

Streaming Protocol

Send backend or offline events into an existing user and session, through an endpoint protected by an API key and a dedicated User-Agent.

Privacy & governance

Raw IP addresses are never stored, the tracker can respect Google Consent Mode, and a deletion script removes a user from both BigQuery and Firestore.