Sources and provenance

#How this course was built

This course was researched from scratch for this platform — unlike AI Agency or COVER, it doesn't compile an existing research brief. Every module was built from live web research conducted at build time, cross-checked where possible against primary or near-primary sources, and confidence-tagged using the same [Established] / [Directional] / [Speculative] system as the rest of this platform's research-backed courses. Where a claim could only be traced to a secondary aggregator or an SEO-content site with no disclosed methodology, that is stated plainly in the lesson itself rather than smoothed over — see especially the repeated warning about "2026 benchmark" content-marketing pages in the course index and the acquisition-economics and measurement lessons.

#Tier 1 — primary or near-primary sources

• Kyle Bagwell, "The Economic Analysis of Advertising," Chapter 28 in the Handbook of Industrial Organization, Vol. 3 (Armstrong & Porter, eds., North-Holland, 2007). The standard academic taxonomy of the informative/persuasive/complementary views of advertising, cited in Why paid attention has a price.
• Edelman, Ostrovsky & Schwarz, "Internet Advertising and the Generalized Second-Price Auction" — the canonical mechanism-design paper on the GSP auction model Google's ad auction is built on.
• Google's own Ads Help documentation on Ad Rank and Quality Score — the primary source for the auction-pricing mechanics described in Why paid attention has a price.
• Google's Privacy Sandbox blog (privacysandbox.google.com), specifically its 2025 posts on the retirement of Privacy Sandbox technologies and the reversal on third-party-cookie deprecation — the primary source for the cookie-status claims in Measurement and attribution fundamentals.
• The Ehrenberg-Bass Institute for Marketing Science's body of purchase-panel research, most accessibly summarized in Byron Sharp's How Brands Grow (2010) — the empirical basis for mental/physical availability and the double-jeopardy law, cited in Positioning and differentiation.
• Les Binet and Peter Field, The Long and the Short of It (IPA, 2013) — the primary published source for the 60/40 brand/activation finding, cited (and critiqued) in Brand building vs. performance marketing.
• David Skok, "SaaS Metrics 2.0," For Entrepreneurs blog (circa 2010) — the primary, named origin of the 3:1 LTV:CAC rule, cited in CAC, LTV, and the economics of acquisition.

#Tier 2 — credible secondary and trade sources

• WARC (warc.com) coverage of the public Byron Sharp / Binet & Field methodological dispute — a named trade publication reporting a real, ongoing disagreement between two well-known marketing researchers, used with appropriate hedging since this course could not independently verify Sharp's exact wording from a primary transcript.
• Al Ries and Jack Trout, Positioning: The Battle for Your Mind (1981) — hugely influential practitioner theory, explicitly flagged in Positioning and differentiation as case-narrative-based rather than empirically validated.
• Alex Hormozi, $100M Offers (2021) — the origin of the Value Equation, explicitly flagged in Copywriting and positioning frameworks as a single-author heuristic, not a tested model.
• Industry analytics and ad-tech vendors with access to real aggregate ad-account data (e.g. TripleWhale for paid-social benchmarks) — more credible than an anonymous content-marketing blog, but still vendor-disclosed aggregate data without an independently published methodology.
• Large-scale third-party query-sampling studies on AI Overview prevalence and click-through impact — stronger methodology (millions of tracked queries) than most figures cited in this course, but not Google's own disclosed numbers.

#Tier 3 — treat with active skepticism

A large share of what currently ranks for "marketing benchmark 2026," "CAC by industry 2026," and similar queries is SEO-optimized content-marketing material: no named analyst, no disclosed sample or methodology, and suspiciously precise figures repeated near-verbatim across dozens of nominally competing sites. This course used figures from this tier only where no better source existed, always as a labeled range rather than a false-precision point number, and always tagged [Speculative] or, at best, weak [Directional]. This pattern is itself a real, observed data point about the state of the 2026 search and content ecosystem — see the discussion in The 2026 channel landscape of AI Overviews and zero-click search — and this course treats noticing it as part of its own honesty obligation, not an excuse to repeat the numbers anyway.

#What this course does not cover, and why

This course deliberately does not build out a full paid-media tactical playbook (specific ad-account setup, campaign-structure best practices, creative testing methodology at the execution level) — that level of channel-specific tactical detail is exactly what SMMA and Ad Agency already own for paid social, and what AMZ owns for the Amazon-specific version of the same problem. It also does not cover the psychology of closing a conversation once a prospect is engaged — that is the Sales course's territory, referenced throughout this course wherever the demand-generation-to-conversion handoff comes up. Treat this course as the shared foundation those courses build on, not a competing or redundant version of any of them.