Digital & growth teams
- You want cohort, funnel and channel views that go beyond what GA4 UI gives you.
- You need revenue and performance models your CMO and CFO both trust.
Platform · BigQuery
If BigQuery is a dumping ground, you don't have a data strategy.
We turn your BigQuery environment into a clean, documented analytics warehouse — centered on GA4 export, Stripe, Shopify, HubSpot and product data — so your team can actually ship models, dashboards and decisions off it.
- GA4 export structured and joined with business data (CRM, billing, product) instead of living in isolation.
- Query patterns, models and views that directly answer growth, product and finance questions.
- A structure your team can extend without praying they don't break something upstream.
Built for teams who can't afford "we'll pull it from the warehouse later" as an excuse: data, growth, product and finance.
From reactive queries → stable analytics warehouse
Today
- Raw GA4 export nobody fully understands.
- Ad-hoc queries copied from old notebooks.
- No clear "source of truth" tables or views.
After
- Modeled tables for sessions, users, funnels and revenue.
- Joined with Stripe, Shopify, HubSpot and product events.
- Stable views powering dashboards and ad-hoc analysis.
Structure
Layered schemas: raw → modeled → marts.
Performance
Queries tuned for cost, speed and maintainability.
Clarity
Documented models aligned with business definitions.
Who this BigQuery work is for
For teams that want a real analytics warehouse, not just a BigQuery bill.
If you're serious about measurement, BigQuery is where all the signals meet. We make sure it's structured, governed and actually used — not just something a couple of people are afraid to touch.
Product & data teams
- You’ve got product events, GA4, and backend logs — but no coherent user model.
- You’re tired of one-off queries and want reusable, tested models and views.
Founders & leadership
- You’re investing in acquisition, product and retention without a single, defensible data backbone.
- You want the warehouse to answer business questions, not just store them.
BigQuery issues we keep seeing
A warehouse without modeling is just expensive storage.
Most BigQuery environments grow organically: raw tables dumped in, ad-hoc queries scattered around, and no consistent layer that everyone aligns on. We come in to impose structure and ship decision-ready data.
Nobody is sure which tables are safe to use, so the same metric is defined five different ways.
GA4 export is sitting in BigQuery, but all your reporting still relies on the GA4 UI.
Joining GA4 data with CRM, Stripe, or Shopify is slow, brittle, and depends on one person’s notebook.
Dashboards break whenever schemas change because there are no modeled layers or contracts.
BigQuery services
BigQuery as your analytics backbone — not just another data sink.
We treat BigQuery as part of a full Track · Analyze · Optimize stack. That means modeling from real business questions backwards — not just loading data in and hoping someone will figure it out later.
Warehouse architecture & modeling
From raw chaos to layered, documented structure.
- Design schemas and datasets: raw, staging, modeled and data marts.
- Create core models for users, sessions, events, orders, subscriptions and revenue.
- Define table/view contracts aligned with business definitions (what is a "customer", a "session", a "conversion"?).
- Implement naming conventions, partitioning and clustering for maintainability.
GA4 export & web analytics modeling
Unlock what GA4 UI can’t give you.
- Configure and validate GA4 export into BigQuery.
- Model sessions, users, funnels and attribution from GA4 event data.
- Build views for channel, campaign and journey analysis beyond the GA4 interface.
- Align GA4 models with backend and finance views of revenue and customers.
Joining CRM, billing & product data
One user, one truth — across tools.
- Bring in Stripe, Shopify, HubSpot and other business systems to BigQuery.
- Engineer join keys and ID stitching strategies that survive real-world mess.
- Create unified customer and account models for B2C and B2B contexts.
- Enable lifecycle, LTV and retention analysis powered by joined data.
Performance & cost optimization
Fast, predictable queries — without surprise bills.
- Optimize table partitioning, clustering and storage layouts.
- Refactor heavy queries into reusable, incremental models and materialized views.
- Introduce query patterns that keep dashboards snappy under load.
- Set up guardrails so exploration doesn’t double your costs overnight.
Analytics marts for BI & self-serve
Stable layers your tools can safely point at.
- Design & build marts tailored for Looker Studio, Power BI or other BI tools.
- Expose subject-area views for growth, product and finance teams.
- Create semantic-style layers: "one place" to pull key metrics from.
- Document how each mart should be used, and where not to improvise.
Governance, testing & docs
You don’t have to be in the room for this to stay healthy.
- Put change management around schemas, views and pipelines.
- Introduce automated checks on row counts, freshness and anomalies.
- Maintain living documentation of models, sources and business logic.
- Equip internal teams with playbooks for adding new data safely.
BigQuery across Track · Analyze · Optimize
BigQuery is where the pillars meet — and where decisions get real.
Once BigQuery reflects your Track work and fuels your Analyze + Optimize motions, it stops being a nice-to-have and becomes part of how your company thinks, prioritizes and spends.
Track · BigQuery
Capture clean events, revenue and lifecycle data designed to land in BigQuery the right way.
Analyze · BigQuery
Build models, cohorts and funnels that turn raw data into sharp insight.
Optimize · BigQuery
Feed high-quality metrics into experiments, bidding and strategic decisions.
Selected BigQuery engagements
Different stacks, same outcome: a warehouse the whole company can stand on.
Whether you're running PLG SaaS, e-commerce, healthcare or something in between, the pattern is consistent: once BigQuery is structured around your real questions, everything else gets easier.
SaaS · PLG funnel + billing
Board-ready funnel and LTV models straight from BigQuery.
We modeled GA4, product events and Stripe data into a single warehouse layer, giving leadership a trusted view of signup → activation → paid → expansion, by cohort and channel.
E-commerce · GA4 + Shopify + ads
From inconsistent reports to a single performance backbone.
We aligned GA4 export, Shopify orders and ad platform data in BigQuery, then exposed stable marts for performance, merchandising and finance teams.
Healthcare · multi-system tracking
Stitched a messy stack into usable insight.
We joined GA4, booking tools and CRM data in BigQuery to show full patient journeys and channel impact, without breaking compliance or relying on hand-stitched reports.