Google Tag Manager Expert Services

Marketing Data Lakehouse on BigQuery

Build a scalable marketing data lakehouse that handles any data format or volume.

Build a marketing data lakehouse on BigQuery. Ingest raw data from all marketing sources into a data lake layer, then transform into structured analytics tables for reporting.

200+
GTM Containers Audited
98%
Tracking Accuracy Rate
40+
Platforms Integrated
5★
Average Client Rating
A marketing data lakehouse combines the flexibility of a data lake (store raw data in any format) with the reliability of a data warehouse (structured, queryable tables). Our BigQuery lakehouse service designs a raw ingestion layer for your marketing data (ad platforms, CRM, website, email), builds a transformation layer using dbt or Dataform into clean analytics tables, and implements governance and access controls across the entire architecture.

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 ingestion layer design

Multi-source data connector setup

BigQuery external table configuration

dbt or Dataform transformation layer

Analytics mart design

Data governance and access control

Cost management strategy

Documentation and architecture diagram

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 Marketing Data Lakehouse on BigQuery?

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

Frequently Asked Questions

A data lake stores raw data in native formats without predefined schema. A data warehouse stores cleaned, structured data in tables. A lakehouse combines both in a single platform.
Yes — BigQuery supports external tables (querying data in GCS in its raw format) alongside native tables (structured, optimised warehouse format).
Data that needs real-time querying, joining with other sources, or self-service access should be promoted to warehouse tables. Raw data that is rarely queried stays in the lake.
Yes — BigQuery's external table support allows SQL queries on data stored in GCS (JSON, Parquet, CSV) without loading it into native tables.
Start with a simple 3-layer BigQuery warehouse (raw, staging, mart) using dbt. Add lake functionality only when you have data sources or formats that don't fit the warehouse model.

Marketing Data Lakehouse on 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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Our support Hotline is available 24 Hours

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