ECOMMERCE DATA WAREHOUSE IN BIGQUERY

Ecommerce Data Warehouse in BigQuery

Unified ecommerce data warehouse combining all your business data

Data warehouse schema design (orders, customers, products, sessions)
Shopify/WooCommerce → BigQuery pipeline
Ad spend data integration (Google, Meta, TikTok)
Customer lifetime value calculation queries

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Founder Muhammad Farooq: Top Rated Plus on Upwork · 100% Job Success · 237+ projects · $100K+ earned

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Fixed Price

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2–5 Days

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30-Day

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About This Service

What Is Ecommerce Data Warehouse in BigQuery?

An ecommerce data warehouse in BigQuery brings together all your business data sources — Shopify or WooCommerce orders, customer records, product inventory, GA4 behaviour events, and ad platform spend — in one place, queryable with SQL. Instead of toggling between disconnected platforms, every business question is answerable from one source of truth. We design the schema, implement the data pipelines, and build the foundational queries your team will use daily.

Quick Facts

Delivery 2–5 business days

Pricing Fixed upfront quote

Access Needed GTM + relevant account

Support 30 days post-delivery

Certification Google-certified specialist

Output Written documentation

What You Get

Every Ecommerce Data Warehouse in BigQuery Engagement Includes

Data warehouse schema design (orders, customers, products, sessions)

Shopify/WooCommerce → BigQuery pipeline

Ad spend data integration (Google, Meta, TikTok)

Customer lifetime value calculation queries

Cohort analysis query library

Data freshness monitoring

Our Process

How We Deliver Ecommerce Data Warehouse in BigQuery

Audit & Review

We examine your existing setup, ad accounts, and analytics to understand exactly what needs to be built or fixed.

Scope & Price

You receive a clear, fixed-price quote with defined deliverables before any work begins. No surprises.

Build & Test

We implement and verify everything in GTM Preview mode, DebugView, or the relevant platform debugger before going live.

Deliver & Document

We launch, confirm all tracking fires correctly, and hand over full written documentation of everything built.

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Why Adslytics

The Difference a Specialist Makes

Google-Certified Specialists

Every project is handled by a Google-certified tracking specialist. Not an account manager. Not a junior contractor. The person on your project is the expert.

Fixed-Price, No Surprises

You see the exact price before work starts. We scope every project fully before quoting — so you know what you are getting and what it costs, with no ongoing meter running.

Full Written Documentation

Every delivery includes documentation of what was built, what triggers each event, and how to verify it. Your team can maintain it without coming back to us.

Direct Access to Your Specialist

You communicate directly with the person doing the work. No ticketing systems, no account managers relaying messages. Direct Slack or WhatsApp contact throughout.

Verified Reviews

What Clients Say

"We had purchase events firing but zero product detail, add-to-cart or checkout step data. After the enhanced ecommerce setup we can see exactly where customers drop off in the funnel. We've already improved checkout completion by 12%."

Oliver Grant

Head of E-commerce

"Our Shopify store had the standard GA4 integration but none of the enhanced ecommerce events were passing product revenue correctly. The fix was fast, the data is now accurate and we can finally trust our revenue reports."

Mia Santos

Digital Analytics Manager

"Getting GA4 enhanced ecommerce working with our custom WooCommerce checkout was something three agencies had failed to do. This team delivered it in three days, complete with refund tracking and promotional click data. Exceptional."

Jake Williams

E-commerce Director

FAQ

Frequently Asked Questions

Real answers to questions we hear from clients before starting a Ecommerce Data Warehouse in BigQuery project.

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Orders and customers from your store platform (Shopify/WooCommerce), website behaviour from GA4, ad spend from Google/Meta/TikTok, and optionally email platform, loyalty, and support data.

A foundational warehouse with 3–5 data sources takes 2–4 weeks to implement, test, and document. Complex multi-brand or international setups take longer.

Not for a well-designed warehouse. We build with maintainability in mind — scheduled queries, dbt transformations, and clear documentation so a data-literate marketer or analyst can run day-to-day.

BigQuery is the data layer; BI tools are the presentation layer. They work together — BigQuery stores and computes the data; Looker Studio, Tableau, or Power BI visualise it.

We implement a daily exchange rate table (from a free or paid exchange rate API) and normalise all revenue to your reporting currency at query time or in transformation layer.

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