Modules
1. GA4 Architecture
2. GTM Deep Dive
3. Server-Side GTM
4. BigQuery for Marketers
5. Event Taxonomy Design
6. Consent Mode v2
7. Meta CAPI Setup
8. Hubspot Architecture
9. CRM Data Modeling
10. n8n Workflows
11. Make.com Patterns
12. Technical SEO Fundamentals
13. Keyword Research Framework
14. Content Marketing Strategy
15. Marketing Attribution Models
16. Email Marketing Automation
17. Lead Scoring Models
18. Google Ads Campaign Structure
19. Programmatic SEO
20. Conversion Rate Optimization (CRO)
21. Marketing Mix Modeling (MMM)
22. Customer Data Platforms (CDP)
23. UTM Parameters & Campaign Tracking
24. A/B Testing & Statistical Significance
25. MarTech Stack Architecture
26. Zapier Automation Patterns
27. Looker Studio Dashboards
28. Schema Markup & Structured Data
29. Facebook Ads Pixel & Tracking
30. Marketing Analytics & KPIs
31. API Integrations for MarTech
32. Marketing P&L Fundamentals
33. P&L Component Details: Revenue, COGS & Marketing Expense
34. Managing the Marketing P&L
35. Measuring Marketing Effectiveness
36. Measuring Marketing ROI
37. Marketing Financial Planning & Budgeting
38. Improving Response Through Modeling & Analytics
39. Building a Marketing Financials Worksheet
40. What Marketing Automation Needs From Your Data
41. Integrating Financial & Marketing Information
42. Marketing Customer Information Management
43. Marketing Data Acquisition Strategies
44. Data Storage & Retrieval Architecture for Marketing
45. Data Warehouse Infrastructure for Marketing Automation
46. Marketing Data Access & Delivery Methods
47. Organizing Marketing Information for Self-Service
48. Building a Marketing Information Map
49. Using Information for Campaign Targeting
50. Using Information for Customer Segmentation
51. Direct Marketing Response Testing
52. Predictive Modeling for Marketing Campaigns
53. Optimizing Contact Strategy & Frequency
54. Strategic Marketing & Customer Lifecycle Planning
55. Cohort Analysis in Marketing
56. Funnel Analysis & Drop-off Diagnosis
57. Multi-Channel Funnel Reporting
58. BI Tool Comparison: Looker Studio vs Tableau vs Power BI
59. Web Analytics Fundamentals
60. Heatmap & Click Analysis Tools
61. Session Replay Tools
62. GA4 Explorations
63. Data Layer Design Patterns
64. First-Party Cookie Tracking
65. Cross-Domain Tracking
66. E-commerce Tracking in GA4
67. Meta Ads Campaign Structure
68. Programmatic Advertising Basics
69. Real-Time Bidding (RTB)
70. Demand-Side Platforms (DSPs)
71. Retargeting & Remarketing Strategy
72. TikTok Ads Fundamentals
73. LinkedIn Ads B2B Targeting
74. Amazon Ads Fundamentals
75. Google Shopping Ads
76. Ad Fraud Detection
77. Bid Strategy Optimization
78. Creative Testing & Ad Fatigue
79. Salesforce Marketing Cloud Basics
80. HubSpot Workflows Deep Dive
81. Drip Campaign Design Patterns
82. Customer Onboarding Automation
83. Churn Prediction Modeling
84. Win-Back Campaign Design
85. Loyalty Program Design
86. Referral Program Mechanics
87. Net Promoter Score (NPS)
88. Customer Health Scoring
89. Link Building Strategy
90. Local SEO Fundamentals
91. International SEO & Hreflang
92. Core Web Vitals Deep Dive for SEO
93. Featured Snippets & SERP Features
94. Topic Clusters vs. Content Silos
95. Content Gap Analysis
96. SEO Content Briefs
97. AI Search Optimization (LLM SEO)
98. Voice Search Optimization
99. GDPR & CCPA Marketing Compliance
100. The Cookieless Tracking Future
101. Data Clean Rooms
102. Consent Management Platforms (CMPs)
103. First-Party Data Strategy Deep Dive
104. Data Minimization in Marketing
105. Google Privacy Sandbox
106. Identity Resolution Deep Dive
107. Growth Loops vs. Funnels
108. The North Star Metric Framework
109. Pirate Metrics (AARRR)
110. Product-Led Growth (PLG)
111. Viral Coefficient & Referral Loops
112. Building an Experimentation Culture
113. Multi-Armed Bandit Algorithms for Optimization
114. Landing Page Optimization Framework
115. Pricing Page Optimization
116. Onboarding & Activation Metrics
117. MarTech Vendor Evaluation
118. Marketing Ops Team Structure
119. Campaign Management Workflow
120. Creative Asset Management (DAM)
121. Marketing Project Management
122. Agency vs In-House MarTech
123. The MarTech RFP Process
124. MarTech Stack ROI Audit
125. Email Deliverability Deep Dive
126. Email List Hygiene
127. Transactional vs. Marketing Email
128. Subject Line Optimization
129. Email Platform Comparison
130. SMS Marketing Strategy
131. Push Notification Strategy
132. Omnichannel Messaging Orchestration
133. Dunning Management for Failed Payments
134. Subscription Churn Analytics
135. XML Sitemap Optimization
136. Canonical Tags Deep Dive
137. Pagination SEO
138. JavaScript SEO & Rendering
139. SEO for Single-Page Applications
140. Site Migration SEO Checklist
141. Redirect Management & 404s
142. Crawl Budget Optimization
143. Log File Analysis for SEO
144. E-E-A-T & YMYL Content
145. GA4 vs. Adobe Analytics
146. BigQuery Cost Optimization
147. Looker Studio Calculated Fields Cookbook
148. Attribution Window Selection
149. View-Through vs. Click-Through Attribution
150. Geo-Lift Incrementality Testing
151. Marketing Mix Modeling Tools Comparison
152. Marketing Dashboard Best Practices
153. Executive Marketing Reporting
154. Marketing Data QA Processes
155. Lead Routing Rules
156. Lead-to-Opportunity Tracking
157. Sales & Marketing Alignment (SLA)
158. Account-Based Marketing (ABM) Strategy
159. Intent Data Providers
160. Sales Enablement Content
161. CRM Data Deduplication
162. Pipeline Velocity Metrics
163. RevOps Metrics Framework
164. Forecasting & Pipeline Coverage
165. Performance Max Deep Dive
166. YouTube Ads Strategy
167. Podcast Advertising
168. Connected TV (CTV) Advertising
169. Out-of-Home (OOH) Advertising Attribution
170. Affiliate Marketing Programs
171. Influencer Marketing Measurement
172. Native Advertising
173. Display Ads Creative Specs & Best Practices
174. Audio Ads & Spotify Ad Strategy
175. Brand Tracking & Awareness Measurement
176. Content Performance Scoring
177. Video Marketing Strategy
178. Podcast Marketing Strategy
179. User-Generated Content (UGC) Strategy
180. Community-Led Growth
181. Activation vs. Retention Tradeoffs
182. Expansion Revenue Strategy
183. Upsell & Cross-Sell Playbooks
184. Usage-Based Pricing Models
185. Cart Abandonment Recovery
186. Post-Purchase Marketing
187. Subscription Box Marketing
188. Marketplace Marketing: Amazon & Etsy
189. B2B E-commerce Marketing
190. CAN-SPAM Compliance
191. TCPA & SMS Marketing Compliance
192. Cookie Consent Banner UX
193. COPPA & Children's Privacy in Marketing
194. WCAG Accessibility for Marketing Sites
195. Segment vs. mParticle vs. RudderStack
196. Reverse ETL Deep Dive
197. Zapier vs. Workato vs. Tray.io
198. Marketing Data Governance Framework
199. Data Contracts for Marketing Teams
200. Braze vs. Iterable vs. Customer.io
201. Klaviyo Deep Dive
202. Marketo Deep Dive
203. Pardot (Salesforce Marketing Cloud Account Engagement) Deep Dive
204. MarTech Contract Negotiation
205. Localization Strategy for Marketing
206. Multi-Currency E-commerce Marketing
207. GDPR vs. Global Privacy Laws
208. Data Processing Agreements (DPAs)
209. Marketing Calendar Planning
210. Crisis Communication in Marketing
211. Marketing During a Rebrand
212. Freemium Conversion Optimization
213. KPI Metric Trees
214. Weekly Marketing Reporting Cadence
215. Search Ads 360 Basics
216. Microsoft Ads (Bing) Strategy
217. Pinterest Ads Strategy
218. Snapchat Ads Strategy
219. Reddit Ads Strategy
220. B2B Intent-Based Advertising
221. Marketing Attribution Vendor Comparison
222. Customer Journey Mapping
223. Voice of Customer (VoC) Programs
224. Competitive Intelligence for Marketing
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COPPA & Children's Privacy in Marketing

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A different rulebook once children are the audience

The Children's Online Privacy Protection Act (COPPA) applies in the US to operators of websites or online services that are either directed at children under 13 or that have actual knowledge they're collecting personal information from children under 13 — and it imposes obligations well beyond what general marketing compliance (CAN-SPAM, standard cookie consent) requires. If a product, app, or marketing campaign's audience includes or is likely to include children under 13, the general ecommerce/email/ad-tech playbook covered elsewhere in this track does not simply apply with minor tweaks; it needs a separate compliance review, because the consent model, data collection limits, and advertising restrictions are all substantially stricter. This module describes the concepts involved; treat specific obligations, thresholds, and enforcement details as something to verify against current FTC guidance or counsel before launching anything aimed at or likely to reach children.

General marketing compliance vs. COPPA-covered services

DimensionGeneral marketing (adult audience)COPPA-covered (under-13 audience)
Consent modelVaries by law (opt-in or opt-out)Verifiable parental consent generally required before collection
Behavioral ad targetingPermitted with appropriate consent/disclosureRestricted — targeted advertising to children under 13 is a major compliance risk area
Data minimization expectationBest practice, varies by lawCore requirement — collect only what's reasonably necessary
Who must consentThe individual themselvesA parent or guardian, verified through an approved method
Retention expectationPolicy-drivenDelete when no longer reasonably needed for the stated purpose

What "directed at children" actually covers

COPPA's scope isn't limited to products explicitly labeled for kids — regulators look at factors like subject matter, visual design, use of child-oriented characters or language, and audience composition data a service may already have, to determine whether a site or app is "directed at children" even if its terms of service say it's for adults. A general-audience platform that turns out to have actual knowledge a meaningful portion of its users are under 13 (through self-reported age data, for instance) can also trigger COPPA obligations for that portion of its user base, separate from whether the whole platform was designed with children in mind. This is a fact-specific determination, not a simple labeling exercise, and it's a frequent point of enforcement action against platforms that assumed a general audience meant no obligation existed.

Age-gating alone is not a compliance strategy

A simple "enter your birthdate" or "are you over 13" checkbox with no real verification does little to limit liability if the service is otherwise directed at children or if there's reason to know younger users are getting through anyway — regulators have treated weak or cosmetic age gates as insufficient, and in several enforcement actions have pointed to evidence the operator knew or should have known the gate was being routinely bypassed. If a marketing team's plan for children's privacy risk is "we'll just ask for a birthdate," that's a sign the underlying compliance question hasn't actually been addressed.
coppa_risk_screening_checklist.txt
text
Before launching a product, app, or campaign with any plausible
reach to under-13 users:

[ ] Review audience: is the product/content directed at children,
    even partially, by subject matter, design, or characters?
[ ] Check existing user data: any signal a meaningful share of
    users are under 13?
[ ] If yes to either: route to legal/compliance review BEFORE
    launch, not after
[ ] Data collection limited to what's reasonably necessary for
    the stated activity, nothing speculative "for later use"
[ ] No behavioral/targeted advertising directed at identified
    under-13 users
[ ] Verifiable parental consent mechanism in place before any
    personal information is collected from a child
[ ] Clear, parent-facing privacy disclosure describing exactly
    what is collected and why
[ ] Defined deletion process once data is no longer needed

Verifiable parental consent, conceptually

The core mechanism COPPA relies on is that a parent, not the child, has to affirmatively consent before most personal information is collected, and that consent has to be obtained through a method reasonably designed to confirm the person consenting actually is the parent (approaches used in practice have included things like verified payment methods, signed consent forms, or video-call verification, among others recognized over time). Exactly which methods qualify, and what's required for lower-risk uses like internal operations versus third-party disclosure, has been refined by regulators over the years — this is a core area to confirm against current guidance rather than assume, since getting the consent mechanism wrong undermines the entire compliance structure built on top of it.

Illustrative data-practice risk tiers (concept, not a legal ruling)

PracticeRelative risk levelWhy
Collecting only what's needed for a stated activity, deleted afterLowerAligns with data minimization expectations
Collecting broad profile data for undefined future useHigherExceeds reasonably necessary scope
No behavioral ad targeting to child usersLowerAvoids a frequently scrutinized practice
Third-party ad SDKs collecting data without clear consent flowHigherA common source of enforcement — operator is responsible for third-party conduct on its platform

Third-party tools are the operator's responsibility too

A recurring pattern in COPPA enforcement actions involves an operator's own practices being reasonable while a third-party SDK or ad network embedded in the product collected data from child users in ways the operator didn't fully vet. Regulators have generally held the operator responsible for what its integrated third parties do, which means a marketing or product team embedding any analytics or ad SDK into a product with child-audience exposure needs to vet that vendor's data practices specifically, not just its own.

What's next

Children's privacy is one audience-specific compliance layer; accessibility is another dimension that touches nearly every marketing surface a brand builds. Next: WCAG Accessibility for Marketing Sites →

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