Odyssey Lab

Design, dev, analytics, tagging, Google Ads, SEO, AIO, GEO, and CMS run as one practice on the same foundation. Codified AI implementers handle work usually split across vendors. Mastery-tier execution at boutique-agency prices.

The lab in one line

Mastery-tier work at boutique-agency prices. The implementers are real systems with names.

One operator with 18 years in marketing and web directs the roster of codified AI implementers and remains accountable for strategy, code, copy, acquisition, and measurement.

The integrated stack

What the lab does

Design, dev, analytics, tagging, Google Ads, SEO, AIO, GEO, and CMS run as one integrated practice. The Odyssey design skill produces layouts and patterns. The ad-ops skill runs Google Ads optimization from managed-spend experience. GTM and GA implementation sits inside the same foundation. Per-client copywriting bots train on each client's voice substrate. Mobile UX puts actions at thumbs and content at fingertips, with schema-first, component-driven implementation underneath.

Built and running

Receipts

Approaching $1M in managed Google Ads spend

Across years and accounts of Google Ads work. The codified ad-ops skill now targets high-value, low-demand search, with ad landing pages built into the site system.

The analytics + reporting backend

Vercel + Inngest + Tremor + Anthropic API. Inngest functions retrieve data from Google Ads, GA4, and GTM. The Anthropic API drafts weekly client reports. Tremor renders the dashboards. The same runtime handles custom backend logic.

“marketing unicorn… the prototype for a new breed of Marketing DevOps professionals”

Baker Johnson, then VP Marketing at Serenova

The arc

How an engagement unfolds

Foundation

Opens with the deep-dive intake, web scrape, and voice-of-customer pass that produces the per-client knowledge set. From there: integrated foundation off the old stack, conversion baseline, on-page SEO + AIO + GEO, mobile UX that behaves like an app, lead-delivery email design, GBP where local. Ships live.

Punch-up

Surfaces from real-user data 30 to 60 days post-launch. Conversion-pattern audits against actual traffic, review-count social proof, A/B test setup, additional ad landing pages where search demand maps, deeper analytics-tracking-reporting infrastructure.

Depth

60 to 90 days past Phase 1. Custom CMS where content scope warrants, advanced portfolio or schema architecture, foundations that reuse across the multi-tenant platform, retainer transition where it fits the cadence.

Engagement model

Working with the lab

Selective by design. Premium pricing, intentionally small caseload. See the About page for the full engagement model.

Start a conversation

Replies within 2-3 business days. If the fit is wrong, you'll get a fast no.