Patterson Consulting, home
SESSION······STACKGTM → sGTM → BigQueryCONSENTanalytics:pending ad:pendingPIPELINEliveDASHBOARDSMetabaseATTRIBlast-click · Shapley plannedSESSION······STACKGTM → sGTM → BigQueryCONSENTanalytics:pending ad:pendingPIPELINEliveDASHBOARDSMetabaseATTRIBlast-click · Shapley planned

I build
measurement
infrastructure.

This site runs on the same stack I sell, consent, sGTM, BigQuery, Dataform, live dashboards. Instead of describing it, I built on it.

Most consultants describe what they build. I'd rather you watch it run. Every scroll, every click on this page flows through a real server-side tag manager, into a real warehouse, through a real transformation pipeline, live on your session, right now. The instrumentation is the portfolio.

Explore the demos

Your session is
being measured
right now.

Every scroll, click, and page view on this site flows through the same measurement pipeline I deploy for clients.

The events aren't simulated. The warehouse is real. The dashboards are running.

Fig. 01Event flow · browser → dashboard
  1. Source

    Browser

    dataLayer.push() every click, scroll, and pageview into the web container.

  2. Consent gate

    Client GTM

    Consent Mode v2 decides what leaves the browser.

  3. Processor

    Server GTM

    Self-hosted sGTM on Cloud Run, enriches payloads, hashes PII, fans out to GA4, BigQuery, Meta CAPI, and Google Ads.

  4. Warehouse

    BigQuery

    Streaming inserts land in iampatterson_raw.events_raw within seconds.

  5. Consumption

    Dashboards

    Dataform transforms the raw table into session, attribution, and LTV marts; Metabase serves them.

Demo · Ecommerce · Tiers 2 + 3

Shop a little. Watch the events land in BigQuery.

Browse, add a plush to cart, check out with a test card. Every interaction fires a real GTM event through server-side GTM into BigQuery. The cart and checkout pages show the staging-layer transforms and data-quality checks running against your own session.

The confirmation page loads a Metabase dashboard built from the events you just fired.

Evidence · What the infrastructure has done

The stack running
under this page is the
same one I deploy.

A MarTech consulting practice that also runs a 2.5M-follower pet brand and produced AI-generated calendars that made $45k. The measurement infrastructure isn't a case study, it's the proof.

Audience2.5MFollowers on the Tuna Melts My Heart brand, a Chiweenie with an overbite. Serious infrastructure, applied to a dog.
Revenue proof$45KProduced by an AI-generated calendar program, measured end-to-end on the same pipeline running under this site.
Live events24/7Every visitor to this site generates real events flowing through the full stack. Open the overlay to watch yours.
contact, ian@iampatterson.com

See your
session first.
Then hire me.

Your session, live. Every event it fires, every destination it reaches, every consent decision, every transformation. Then we can talk about what you'd build.

Start a conversation