Utility
Site Atlas.
All pages, playbooks, frameworks, essays, platform guides, and utilities — mapped by job, not just alphabet. The search box is for when you know the word. The Atlas is for when you know the problem.
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The fastest routes in — diagnose, browse services, or read the thinking.
- Page Home Operator-led advisory for AdTech, MarTech, and data companies scaling into the US.
- Service Services Vertical playbooks, operating playbooks, and the three engagement shapes.
- Utility Readiness Scorecard Six-path diagnostic. ~6–8 minutes, no email, browser-stored.
- Service Who it’s for The ICP map — five stage tiers by employees and ARR.
- Page About Why this advisory exists, and what I’m brought in to fix.
- Building Building Live proof — AdCP discovery, Signal-Stack pre-call intelligence, and a live agentic-orchestration prototype.
- Building AdCP Signals Adaptor Reference implementation of the Ad Context Protocol — MIT-licensed open source, with a live demo at adcp.signal-stack.io.
- Building Signal-Stack AI-powered pre-call sales briefs synthesized from Gong, Gmail, LinkedIn, Salesforce, HubSpot, and Clay — on Cloudflare’s edge.
- Building AdCP Ecosystem Live visual prototype for agentic advertising orchestration — how signals, identity, governance, creative, buying, measurement, and clean-room workflows could coordinate as connected agents around a live brief. Experimental, not a production claim.
- Writing Writing Bylines on agentic advertising, data collaboration, GTM, and operating design.
- Page Contact Book a 30-min call, or send a note. Replies in 1–2 business days.
Engagements
The three engagement shapes plus how the work runs.
- Engagement Market Entry Audit 2–3 week diagnostic. Five lenses → a 90-day GTM plan.
- Engagement GTM & BD Sprint 6–8 week execution sprint — pipeline, partner co-sell, pricing tests.
- Engagement Advisory Retainer 3, 6, or 12 months of senior operator partnership on a weekly cadence.
- Engagement Sponsored Market Intelligence Sprint A disclosed, sponsor-funded advisory sprint — educates a market segment, returns aggregated, anonymized intelligence. Independent, confidential, never a lead list.
- Service Common problems Ten patterns where growth-stage companies stall — named in the buyer’s voice.
- Service Operating method How the work runs — diagnose, decide, ship, prove.
Vertical playbooks
Category-specific GTM playbooks.
- Playbook Travel & Hospitality Travel tech operator + travel data insider — for vendors unifying portfolios or modernizing the data graph.
- Playbook Audio When audio platforms fight for US brand budget, the bottleneck isn't reach — it's the buyer narrative.
- Playbook Gaming Game advertising is now a scaled media channel — not a niche buy. Translating that into Americas GTM.
- Playbook Performance & Native Native + recommendation platforms grow fast — the US enterprise bottleneck is rep productivity and ACV expansion.
- Playbook Attention Attention measurement is a category that has to be created — not just sold.
- Playbook Mobile App Growth & In-App Programmatic App-first DSPs and mobile growth platforms turning existing US demand into a focused, lean commercial engine — not a cold market entry.
Operating playbooks
How the commercial system itself is built and scaled.
- Playbook Growth Operating System Operating model for aligning marketing, sales, data, and customer feedback into one revenue system for scale-up growth.
- Playbook Org Design for Scale-Ups Org design is GTM infrastructure. This playbook helps scale-ups move from heroic execution to clear ownership, decision rights, capacity planning, and repeatable operating cadence.
- Playbook Retention & Expansion Post-sale operating system for retention, expansion, renewal confidence, churn prevention, and Net Dollar Retention (NDR). It turns reactive renewal management into a designed expansion motion — customer health, expansion triggers, and a board-grade NDR number.
- Playbook Enterprise Data Collaboration The governed path from signal to decision — clean rooms as an operating model, not a platform pick.
- Playbook Agentic Transformation From AI pilots to governed agentic workflows, decision systems, evaluation, and measurable outcomes.
- Playbook Commercial Productization Turn capability into packaged products, pricing, proof, POC-to-production, and repeatable enterprise revenue.
- Playbook Commercial Architecture Turn a portfolio of capability into one buyable story — portfolio, packaging, enablement, proof, and adoption telemetry.
Enterprise Data Collaboration
The cluster: overview, the operating spine, and multi-cloud orchestration.
- Service Enterprise Data Collaboration — Overview The hub for the data collaboration operating playbook.
- Service Data Collaboration — Foundation Map the data footprint, governance model, sensitivity, consent, access policy, and collaboration canvas before platform selection.
- Service Data Collaboration — Platform Fit Compare clean rooms, secure sharing, warehouse-native collaboration, walled gardens, activation destinations, and cloud paths by use case.
- Service Data Collaboration — Use Cases Translate data collaboration into business questions across measurement, planning, activation, enrichment, suppression, and vertical-specific workflows.
- Service Data Collaboration — Productization Decide whether you are selling a data product, model product, native app, workflow, marketplace listing, or enterprise capability.
- Service Data Collaboration — Agent-Ready Move from dashboards into governed metrics, semantic context, business-user analytics, monitored feedback loops, and agent-ready workflows.
- Platform guide Multi-Cloud Orchestration For brands using several data clouds, clean rooms, BI tools, media platforms, and activation systems. Start here when the real question is not which platform wins, but which platform owns which decision.
- Utility Data Collaboration Assessment Specialist diagnostic that routes to the insight, measurement, activation, identity, or model path — with surface and agent-readiness scoring.
Platform guides
Vendor-neutral platform-fit deep dives.
- Platform guide Snowflake Best when the workflow depends on data sharing, clean rooms, native apps, marketplace or private listings, and governed collaboration close to customer data gravity.
- Platform guide Databricks Best when governance, discovery, open connectivity, AI/BI, semantic curation, ML, and agent-ready workflows need to operate around a lakehouse intelligence layer.
- Platform guide AWS Best when the buyer is AWS-native and the workflow needs to sit close to S3, Redshift, Glue, Lake Formation, IAM, analytics, and ML infrastructure.
- Platform guide Google / GMP / ADH Best when the workflow connects GA4, BigQuery, ADH, DV360, Google Ads, Meridian, and privacy-safe measurement into a marketing analytics path.
- Platform guide Amazon Marketing Cloud Best when the job centers on Amazon Ads, Amazon DSP, Amazon retail / commerce signals, custom SQL analysis, audience creation, and privacy-safe media measurement.
- Platform guide Meta Advanced Analytics Best when the job centers on Meta media measurement, first-party signal enrichment, custom attribution, campaign overlap, path-to-purchase, lift, Advantage+ insight, and privacy-safe optimization inside the Meta ecosystem.
- Platform guide InfoSum Best when the collaboration requires a neutral, privacy-enhancing clean room model built around non-movement of data, decentralized processing, strict permissions, and multi-party analysis without centralizing raw data.
- Platform guide LiveRamp Best when identity resolution, RampID-enabled matching, governed clean room collaboration, activation, measurement, and cross-cloud interoperability are central to the workflow.
Ecosystem surfaces
Where governed data becomes activation, measurement, and decisioning.
- Service Ecosystem Surfaces — Overview Where governed data collaboration becomes activation, measurement, and agentic decisioning.
- Ecosystem CDP / DMP / First-Party Data Control Plane Where first-party customer data becomes usable for activation, measurement, personalization, clean rooms, and agentic workflows.
- Ecosystem DSP / Agentic Buying Layer Where governed audiences, signals, budgets, and business goals become executable media decisions.
- Ecosystem Retail Media Network Where first-party purchase data becomes closed-loop, shoppable media.
- Ecosystem Publisher Platform / SSP / Curation Where publisher audience and content become governed, curated supply.
- Ecosystem BI / MMM / Decision Intelligence Where data outputs become budget and growth decisions.
- Ecosystem Semantic Infrastructure The universal navigation layer that makes fragmented data usable by humans, platforms, and AI agents.
Frameworks
The named models behind the work.
Standards & Protocols
The agentic-advertising standards stack — AdCP, IAB Tech Lab agentic work, the core adtech rails, privacy and consent constraints, media-quality trust, and research evidence.
- Standard Standards & Protocols The agentic-advertising standards stack — AdCP, IAB Tech Lab AAMP, ARTF, Agentic Audiences, MCP, A2A, plus the core adtech, privacy/consent, and media-quality rails agents still depend on.
- Standard AdCP — Advertising Context Protocol Vendor-neutral guide to AdCP: agentic media workflows, MCP/A2A transport, protocol domains, AdCP 3.1 RC, signals, governance, and implementation paths.
- Standard IAB Agentic Standards AAMP, ARTF, Agentic Audiences, Agent Registry, and how IAB Tech Lab extends OpenRTB, AdCOM, OpenDirect, and Deals API for agents.
- Standard Research & Measurement Science The evidence layer behind advertising standards: ARF, MSI, CIMM, JAR, attention, MMM, incrementality, currency, cross-platform measurement, and agentic measurement validation.
- Standard Core AdTech Standards The transaction rails agentic advertising still runs on — OpenRTB 2.6, AdCOM, OpenDirect, Deals API, VAST and the CTV addendum, ads.txt / app-ads.txt, sellers.json, the SupplyChain Object, content and audience taxonomies, SIMID, and ads.cert.
- Standard Privacy & Consent Standards The constraint layer agents must respect — GPP, TCF v2.2, the Data Deletion Request Framework, Privacy Taxonomy, Accountability Platform, plus platform and OS constraints: SKAdNetwork, AdAttributionKit, ATT, and the retired-status Privacy Sandbox ad APIs.
- Standard Measurement & Media Quality The verification and trust layer — MRC viewability and invalid-traffic standards, annual audit-based accreditation, OM SDK / OMID, and TAG certification programs covering fraud, malvertising, brand safety, and transparency.
- Standard Video & Mobile Ad Delivery Standards Execution-layer deep dive — VAST 4.x and the CTV Addendum 2024, SSAI via the VAST Macros Guidance, SIMID and OMID replacing the deprecated VPAID, MRAID 3.0, OM SDK on CTV with device attestation, SKAdNetwork, AdAttributionKit, ATT, and Android identifiers (AAID, App Set ID).
- Standard DOOH & Place-Based Media Standards Place-based deep dive — DOOH transacts inside OpenRTB 2.x, not via a standalone spec: the OpenRTB 2.6 DOOH and Qty objects (fractional, statistically modeled audience multipliers), estimated fulfillment timestamps, burl billing with the AUCTION_MULTIPLIER macro, the OpenOOH Venue Taxonomy, OAAA, Geopath, proof-of-play as an operational concept, and location privacy.
- Standard Audio & Podcast Advertising Standards Audio deep dive — audio ad serving via VAST 4.x after DAAST’s deprecation, the IAB Podcast Measurement Technical Guidelines (downloads, IP/UA filtering, caching windows — downloads are not listens), the Tech Lab podcast measurement compliance program, dynamic ad insertion, and attribution caveats.
- Standard Prebid & Header Bidding Infrastructure Infrastructure deep dive — Prebid is not a protocol standard; it is the open-source publisher execution layer where many standards become operational: Prebid.js, Prebid Server, Prebid Mobile, first-party data via ortb2, consent modules (TCF, GPP, USP), User ID modules, price-floor and analytics modules, and Activity Controls.
- Standard Retail / Commerce Media Measurement Commerce deep dive — the IAB/MRC Retail Media Measurement Guidelines (January 2024: begin-to-render impressions, MRC viewability in outcome attribution, incrementality as causal impact), the IAB / IAB Europe In-Store Retail Media standards (December 2024: store zones, Ad Play, Gross Impression, Opportunity To See, LTS Impressions), closed-loop attribution and its limits, and clean-room verification.
- Standard Data Clean Rooms, PETs & PAIR Collaboration deep dive — IAB Tech Lab’s Data Clean Room Guidance v1.0, PAIR v1.1 for activation (donated by Google, finalized July 2025), ADMaP v1.0 for attribution, the OPJA deprecation, privacy-enhancing technologies in plain language (commutative ciphers, PSI, TEEs, differential privacy), and output policy — the decision PETs cannot make for you.
- Standard Event & Conversion APIs and Outcome Signals Outcome deep dive — IAB Tech Lab ECAPI 1.0 (finalized 2026, available for implementation): standardized server-to-server marketing events, the named event taxonomy (purchase, add_to_cart, generate_lead, install, subscribe and more), payload and deduplication governance, consent metadata via GPP (gpp_string, gpp_sid, mmt_only), and what trustworthy outcome signals mean for agentic optimization.
- Standard CTV, Streaming & Live Event Advertising Streaming deep dive — the IAB Tech Lab CTV Ad Format Portfolio (Pause, Menu, Screensaver, In Scene, Overlay, Squeeze Back — public-comment stage, not verified final), the Live Event Ad Playbook (LEAP) with the Concurrent Streams API v1.0, SSAI, the VAST CTV Addendum, OM SDK on CTV with device attestation, and household-level measurement.
- Standard Sustainable Media & Carbon Measurement Sustainability deep dive — the Ad Net Zero Global Media Sustainability Framework (v1.2: voluntary, channel-level GHG estimation formulae across digital, TV, print, audio, OOH, cinema), the IAB Tech Lab Sustainability Playbook (supply-path efficiency, fewer requests and hops), supply-path emissions, methodology fragmentation, the carbon-versus-effectiveness trade-off, and claims risk — estimates, not measurements.
Writing & topics
The bylines hub and the topic reading paths.
- Writing Writing The bylines hub — search, topic hubs, and the full archive.
- Writing The No Fluff Orrery An interactive orbital map of the writing — explore every essay by topic, follow a curated reading route, or browse the full archive.
- Topic Embeddings in Advertising Topic hub — vector representations as semantic infrastructure for agentic advertising, contextual targeting, lookalikes, clean rooms, privacy, and signal activation.
- Topic Agentic Advertising Protocols, agents, and the shift from rules to reasoning.
- Topic AI, Attention & EARO Cognitive science applied to media — relevance over reach.
- Topic AdTech & Measurement Programmatic, MMM, attribution, embeddings, and the plumbing beneath.
- Topic Contextual Intelligence Story, emotion, archetypes — and context agents in media planning.
- Topic US Market & Operating GTM, hiring, communication — operator notes from the field.
- Topic Reading & Personal Books, philosophy, life — what shapes how I think.
Reference & proof
Glossary, credentials, library, and the utilities.
- Glossary Glossary Operator vocabulary — GTM, operating, data, standards, engagements.
- Credentials Credentials 53+ certifications across AI, data, GMP, leadership, and privacy.
- Library Library 285 books — strategy, leadership, AI/data, philosophy, GTM.
- Utility Artifact Library What actually ships — maps, matrices, operating models, scorecards, and proof systems, by category.
- Page Proof Proof, not posture — builds, bylines, frameworks, credentials, and operator receipts.
- Page Press kit Bio, headshot, speaking topics, brand assets.
- Page Now What I’m working on right now.
- Utility Saved Your locally-saved pages and essays.
- Utility Search Search across writing, playbooks, services, and the library.
- Utility Site Atlas Every page, mapped by job — for when you know the problem, not the word.
- Page Privacy Privacy policy and data-handling notes.
Not sure where to start?
Use the scorecard if the problem is live. Use search if you know the word. Use the Atlas if you want the map.