Google Tag Manager Expert Services

Product Analytics Data Warehouse in BigQuery

Transform raw product events into clean analytics tables for product teams.

Build a product analytics data warehouse in BigQuery. Model raw event streams into session, funnel, retention, and feature adoption tables for self-service product reporting.

200+
GTM Containers Audited
98%
Tracking Accuracy Rate
40+
Platforms Integrated
5★
Average Client Rating
Raw product events from Segment or Mixpanel need modelling before they are useful for product analytics. Our BigQuery product analytics warehouse service designs and builds the session model, funnel model, retention model, and feature adoption tables from your raw event data, writes the SQL transformations in dbt, and connects them to Looker Studio or Metabase for self-service product reporting.

Ready to Get Your Tracking Set Up Properly?

What's Included in This Service

Everything you need for accurate, reliable tracking — delivered end-to-end.

Raw event data integration

Session model design and implementation

Funnel step table design

Retention cohort model

Feature adoption mart

User journey model

dbt transformation layer

BI tool connection (Looker Studio / Metabase)

How We Work

Our proven 4-step process delivers results every time.

01

Discovery & Audit

We review your existing tracking setup, identify gaps and issues, and define the exact scope of work needed.

02

Implementation Plan

We design the data layer schema, tag architecture, and consent configuration before touching anything.

03

Build & QA

All tags, triggers, and variables are built in a GTM workspace and verified in Preview mode before publishing.

04

Verify & Handover

Test conversions, GA4 DebugView confirmation, and full documentation handed to your team.

Why Choose Adslytics?

Google Tag Manager Experts Only

Our GTM experts focus exclusively on GTM, GA4, and conversion tracking — not generalist digital marketing.

Data-Verified Results

Every implementation is cross-referenced against backend data — not just assumed to be working.

Full Documentation

You receive a complete implementation specification — not a black box you are dependent on us to maintain.

Fast Turnaround

Most setups and audits are delivered within 2–5 business days, not weeks.

What Our Clients Say

Real results from real businesses.

"Adslytics did a great job with our GA4 analysis and report. They were able to put complex analytics data into a very understandable document for our client. Highly recommend!"

Eric H.

Digital Agency Owner

"The team was quick with responses, very knowledgeable about issues, and helpful throughout the process. I appreciated their work habits and would hire Adslytics again."

Nick T.

Marketing Manager

"Adslytics is a very professional agency that managed our project successfully. They delivered exactly what was promised and I will definitely hire them again in the future!"

Hady M.

E-commerce Business Owner

Ready to Get Started with Product Analytics Data Warehouse in BigQuery?

Get accurate conversion tracking that powers smarter ad decisions. Book a free 30-minute consultation.

Frequently Asked Questions

Sessions are typically defined as a sequence of events from the same user where no gap exceeds 30 minutes — we implement this sessionisation logic in SQL.
Yes — we build parameterised funnel queries in BigQuery that allow flexible step definition without a separate product analytics platform.
Cohort-based retention: for each user cohort (grouped by first active month), we calculate the percentage active in each subsequent month.
Via a BI tool like Looker Studio or Metabase on top of the mart tables — they can filter and explore without writing SQL.
We design schema-stable mart tables that absorb event changes at the source, and include dbt tests that alert on breaking changes.

Product Analytics Data Warehouse in BigQuery — Done Right, First Time.

Stop losing revenue to broken tracking. Get it fixed today.

Talk to Us, It's Free

We are always willing to help. Let us know what you are looking for, and we will develop a unique solution for you.

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Business Hours

Our support Hotline is available 24 Hours

Toll Free

+1 (818) 245-8385