STACK · FIVE LAYERSI — V

The stack.

HubSpot, n8n, Claude, BigQuery and Measurement — each layer with its own page, setup and example workflow.
  1. I01

    HubSpot

    HubSpot runs as the pipeline engine here. Lifecycle changes, lead routing and task creation happen in workflows that I set up and document so your team can maintain them later without me.

    Workflows · Lists · Properties · Sequences

    Layer detail
  2. II02

    n8n

    n8n self-hosted on a Hetzner VM. Multi-step sequences, webhook triggers and whatever HTTP call a tool happens to need. The instance is yours — data, backups and update timing included.

    Webhook Triggers · HubSpot Node · HTTP Request · Slack Node

    Layer detail
  3. III03

    Claude

    Claude sits right on the HubSpot record via MCP. The prompts are built per use case and run in batch, and every token lands as a log in BigQuery — you can watch along.

    Anthropic API · MCP Server · Vercel AI SDK · Prompts-as-Code

    Layer detail
  4. IV04

    BigQuery

    Sink for HubSpot, GA4 and LinkedIn Ads, with a joined fact table behind it. Looker Studio or Metabase as the frontend — C-level gets one URL and clicks around on their own.

    BigQuery · Airbyte · Looker Studio · Metabase

    Layer detail
  5. V05

    Measurement

    Since the iOS updates and cookie banners, client-side tracking only shows you a slice of your conversions. Statistical MMM works on aggregate data instead, with no PII or cookies involved, and still makes channel contribution and saturation curves measurable.

    PyMC-Marketing · BigQuery · Airbyte · Cloud Run

    Layer detail
One system

Each layer works on its own. It gets interesting once all five hang together.

No tool zoo. Every layer has a clear job and a traceable hand-off.
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