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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MarTechQuick
Advanced

Site Migration SEO Checklist

12 min read

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Static guide & reference tables

Migrations are the highest-risk event in SEO

A domain change, a platform replatform (WordPress to a headless CMS, Magento to Shopify), or even a large-scale URL restructure can lose double-digit percentages of organic traffic within weeks if handled carelessly — and recovering that traffic can take months, because every lost signal (link equity, crawl history, indexed URL trust) has to rebuild from near-zero. The core risk isn't the new site being worse; it's the transition itself failing to preserve what search engines already trust about the old one.

Step 1: full URL inventory before anything changes

Before writing a single redirect rule, crawl the live site (and cross-reference against Search Console, analytics, and the existing XML sitemap) to produce a complete list of every indexed, traffic-receiving, or link-receiving URL. This inventory is the baseline you'll map against — skipping it means discovering missed URLs only after they start 404ing in production, which is the single most common migration failure mode.

Step 2: one-to-one URL mapping

Every old URL needs an explicit mapping to its new-site equivalent — not a generic redirect to the homepage or category root, which is often called a 'lazy redirect' and preserves only a fraction of the original equity. Mapping is tedious at scale (tens of thousands of URLs on a large catalog), but it's the highest-leverage work in the entire migration. Where no true equivalent page exists on the new site, map to the closest topically relevant page rather than the homepage by default.

url-mapping.csv
text
old_url,new_url,redirect_type
/shop/mens-shoes,/men/shoes,301
/shop/mens-shoes/trail-runner-xl,/men/shoes/trail-runner-xl,301
/blog/2021/how-to-choose-running-shoes,/learn/how-to-choose-running-shoes,301
/shop/discontinued-item-882,/men/shoes,301  # no direct equivalent, mapped to nearest category

Step 3: redirect strategy and implementation

301 redirects should be implemented at the server or CDN/edge level, not via client-side JavaScript or meta-refresh, both of which are slower to resolve and less reliably followed by crawlers. Redirect chains — URL A to B to C — should be collapsed to a single hop (A to C directly), since each additional hop both dilutes equity transfer and slows crawl resolution. Validate the full mapping file against a staging environment before the domain cutover, not after.

Launching without redirects live is often irreversible in effect

If the new site goes live before redirects are active — even for a few hours — crawlers that happen to hit old URLs during that window record them as 404s. Recovering from that requires the URL to be recrawled and found healthy again, which can take weeks even after the redirect is fixed. Redirects must be live and tested before DNS or platform cutover, not patched in afterward.

Pre-launch vs. post-launch migration tasks

PhaseKey tasksRisk if skipped
Pre-launchFull URL inventory, 1:1 mapping, redirect staging tests, updated sitemap/robots.txt ready, baseline ranking/traffic snapshotBlind to what's actually at risk; no way to measure impact later
LaunchRedirects live before DNS cutover, canonical tags updated, internal links updated to new URLs (not redirected old ones)404 spikes, equity loss, crawl confusion
Post-launch (weeks 1-4)Daily crawl error monitoring, Search Console coverage checks, rank tracking on priority terms, log file reviewIssues compound unnoticed; recovery window extends
Post-launch (month 2+)Redirect cleanup (remove unneeded chains), old sitemap decommissioned, stable ranking confirmationResidual technical debt and unresolved crawl waste

Don't forget the supporting signals

URLs and redirects get the most attention, but a migration touches everything: the XML sitemap needs to reflect new URLs only, robots.txt needs re-review (a staging-environment block that accidentally ships to production is a recurring disaster), internal links across the site should point directly to new URLs rather than relying on redirects to patch old links, and structured data/canonical tags need to be re-verified against the new templates rather than assumed to have carried over correctly.

Monitoring: before, during, and after

Capture a pre-migration baseline — organic traffic by landing page, keyword rankings for priority terms, indexed page count — so that any post-launch drop has something concrete to compare against. In the days immediately after launch, monitor Search Console's Coverage and Crawl Stats reports daily for spikes in 404s or 'not found' errors, and spot-check that redirects resolve correctly for a sample of high-traffic URLs. Expect a temporary dip even in a well-executed migration, since re-crawling and re-evaluating the new URLs takes time; the signal to worry about is a dip that doesn't start recovering within several weeks.

Log files are the ground truth during a migration

Rankings and Search Console data lag behind reality by days. Server log files show, in near real-time, whether Googlebot is actually hitting the new URLs, still crawling the old ones, or hitting redirect chains unexpectedly — making them the fastest diagnostic tool in the first week after launch.

What's next

Redirects are the backbone of any migration, and getting the distinction between redirect types — and between a 404 you should fix versus one that's actually fine — right is worth its own deep dive.

Next: Redirect Management & 404s →

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