STUDIO / REFERENCE ARCHITECTURE

A martech reference implementation for sporting organizations

Most fan-data stacks are fragmented: ticketing here, the app there, CRM somewhere else, and ad platforms downstream of all of it. This Studio shows the whole lifecycle resolved into one governed, activated system, using the 4,291 metros of the ranking dataset as a stand-in first-party audience. Every pattern is real; the consent states and destination syncs are synthetic, included to make governance and activation demonstrable without an NDA.

The fan-data lifecycle

1 · Ingest & connectLive
Source registry & pipeline

Ticketing, CRM, app, web, and ad-platform feeds landing in one governed foundation.

Connected Identity & Data Foundations

For your data: Map your real feeds to a single orchestrated ingestion layer; the warehouse stays the source of truth.

2 · Resolve identityLive
Identity graph

One fan resolved across ticketing, app, email, and ad IDs, with provenance retained.

Connected Identity & Data Foundations

For your data: Deterministic resolution with survivorship rules, so a fan is one person across every system.

3 · GovernLive
Consent & suppression console

Consent states, purposes, and suppression lists, honored before anything activates.

Connected Identity & Data Foundations

For your data: Privacy-first by construction: suppression overrides inclusion, consent gates eligibility.

5 · SegmentLive
Audience Builder

Describe a cohort in plain English or compose it across 16 dimensions and fan-level scores, size it live, read its signature, expand with lookalikes, save and share.

Audience, Activation & Commerce Media

For your data: The everyday segmentation workflow a marketer lives in, on governed first-party data.

6 · ActivateLive
Reverse-ETL activation

Push the addressable cohort to Meta, Google, CRM, a clean room, or CSV, with the gate enforced.

Audience, Activation & Commerce Media

For your data: Activation is the missing verb most stacks never close; here it runs from the same surface.

7 · MeasureLive
Lift & incrementality

Exposed-versus-holdout lift on a KPI, so a campaign proves it moved the number.

Audience, Activation & Commerce Media

For your data: Measurement that an executive and an agent can both trust because the foundation is governed.

8 · Decision & agentsPlanned
NL query & decisioning

Natural-language audiences and an agent that picks the best audience, offer, and channel.

AI-Enabled Marketing & Operating Models

For your data: Agentic operations land safely once resolution, consent, and lineage are already visible.

How I would do this for your first-party data

The unglamorous parts are the point: identity resolution with retained provenance, consent that gates eligibility, lineage an executive and an agent can both trust, and activation that honors suppression every time. That is the work most vendors skip and most buyers have been burned by. I lead these as the primary integration partner, from foundations through activation and the operating model around them.

Everything synthetic (consent, identifiers, scores, syncs) is labeled as such. Credibility comes from the patterns being correct, not from faking live integrations.