Google Tag Manager Expert Services

dbt Analytics Engineering for Product Data

Transform raw product events into trusted analytics assets with dbt.

Build a dbt data transformation layer for your product analytics data. Model raw event data into clean, documented, tested tables that power reliable product reporting.

200+
GTM Containers Audited
98%
Tracking Accuracy Rate
40+
Platforms Integrated
5★
Average Client Rating
Raw product event data is messy — event names change, schemas drift, and direct reporting on raw tables is unreliable. Our dbt analytics engineering service builds a transformation layer on top of your product data warehouse, modelling raw events into clean staging, intermediate, and mart tables with tests, documentation, and version control, so your product analytics always reflect accurate, consistent data.

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.

dbt project setup

Source and staging model creation

Intermediate model design

Product mart tables (sessions, funnels, retention)

dbt tests (not_null, unique, referential)

dbt documentation generation

CI/CD pipeline for dbt

BigQuery / Snowflake integration

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 dbt Analytics Engineering for Product Data?

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

Frequently Asked Questions

dbt (data build tool) is an open-source tool that lets analytics engineers write SQL transformations as code with version control, testing, and documentation.
Not always — but if you have multiple data sources and more than 2–3 analysts, dbt pays dividends in reliability and maintainability.
BigQuery, Snowflake, Redshift, Databricks, and PostgreSQL are all fully supported.
dbt Core is free and open-source; dbt Cloud adds scheduling, orchestration, and a managed IDE. We can set up either.
Initial project setup with core models typically takes 3–6 weeks depending on source complexity.

dbt Analytics Engineering for Product Data — 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