Marketing & Content Topics
Marketing strategy, content marketing, campaign management, and digital marketing. Covers content strategy, campaign execution, and marketing analytics.
Search Engine Optimization Metrics and Analytics
Comprehensive coverage of measuring and interpreting search engine optimization performance and designing key performance indicators that map to business goals. Includes which metrics to track and why, such as organic traffic, impressions, clicks, click through rate from search results, keyword rankings and average position, backlink profile metrics, Core Web Vitals and page speed, user engagement and bounce behavior, conversion rates and conversion attribution for organic channels, organic customer acquisition cost, and revenue attributable to organic search. Covers diagnostic signals and tradeoffs including how to interpret ranking versus traffic signals, click yield versus ranking, the typical lag between optimization work and ranking changes, and how to set realistic expectations by objective. Also describes practical use of tools and data sources such as Google Search Console and other search analytics platforms, methods for identifying technical and content opportunities from search data, designing dashboards and reporting for marketing and product stakeholders, prioritizing KPI sets by stakeholder and objective, and common attribution challenges and approaches.
Google Analytics and Web Metrics
Comprehensive knowledge of Google Analytics 4 and broader web analytics practices for measuring, analyzing, and translating website and application behavior into business decisions. Candidates should be able to navigate the Google Analytics 4 interface and configure properties and data streams, explain how data is collected through tracking snippets and event instrumentation, and distinguish user based metrics such as users from session based metrics such as sessions. Core metric fluency includes sessions, users, engagement rate, bounce rate, average session duration, pages per session, and conversion rate and when to use each. The scope includes designing and implementing conversion tracking and conversion events, defining goals and funnels, analyzing user behavior flows and identifying funnel drop off points, creating segments and performing cohort analysis, and using campaign tagging parameters for marketing attribution. Candidates should also understand attribution models including first click, last click, and multi touch, be able to diagnose data quality and tracking issues such as missing events, duplicate hits, cross domain problems, and consent related gaps, interpret campaign and product performance, and recommend measurement improvements and controlled experiments to validate hypotheses.
Content and Editorial Performance Optimization
Measures and improves the performance of content and editorial work by combining quantitative analytics and qualitative research to increase discoverability, engagement, and conversions. Core skills include defining and tracking key performance indicators such as organic traffic, engagement metrics, and conversion rates; diagnosing whether pages suffer from low traffic versus low engagement; using analytics platforms and search console data to identify opportunity pages, content gaps, and keyword opportunities; applying on page search engine optimization including titles, headers, and metadata; designing and running A B testing for headlines, layouts, placements, and calls to action; prioritizing improvements by impact and effort to build data driven content roadmaps; iteratively testing and measuring changes; translating insights into editorial and product decisions; and documenting results and learnings to scale improvements across the content portfolio.
SEO Analytics and Attribution
Measurement and attribution for organic search encompassing analytics platform proficiency, key performance indicators, conversion tracking, and return on investment calculation. Candidates should be able to describe setup and configuration of analytics and search platforms such as Google Analytics 4 and Google Search Console, event and goal tracking, server side and client side conversion tagging, and use of UTM and campaign tracking for experiments. Discuss primary SEO metrics including organic sessions and users, keyword visibility and rankings, click through rate trends, engagement metrics such as bounce rate and time on page, organic conversions and conversion value, and cost per acquisition attributed to organic. Explain attribution model trade offs including first click, last click, multi touch, assisted conversions, attribution windows, and model limitations, as well as practical workarounds such as modeled conversions, data blending, and incremental lift or holdout experiments to measure true organic impact. Cover segmentation approaches by landing page type, device, geography, and audience to surface optimization opportunities, methods for setting realistic benchmarks and targets, and how to synthesize and communicate SEO impact and ROI to leadership in business terms.
Search Engine Optimization Fundamentals and Strategy
Comprehensive knowledge of search engine optimization principles, terminology, and practical strategies for improving organic search performance. Candidates should understand how search engines crawl and index content, the primary categories of ranking factors, and the difference between on page optimization such as content quality and Hypertext Markup Language elements and off page optimization such as backlinks and external signals. Technical search engine optimization topics include site architecture, sitemaps, robots instructions and directives, canonicalization, mobile friendliness, page speed and performance optimization, secure protocols and redirects, structured data markup, and diagnosing crawlability and indexability issues. On page topics include keyword research and search intent, title tags, meta descriptions, header usage, content structure and quality, appropriate keyword usage and density considerations, and internal linking strategies. Off page topics include link acquisition, anchor text strategy, domain authority and page authority concepts, and how backlinks and reputation signals influence rankings. Candidates should be able to describe the search engine optimization lifecycle from research and keyword strategy through content creation, implementation, and monitoring with organic traffic and ranking metrics, click through rate and conversion analysis, the use and interpretation of search engine optimization tools such as Google Search Console and Google Analytics and other industry tools, and ongoing optimization and prioritization. Be prepared to explain trade offs between organic and paid search and to present clear non technical recommendations, remediation plans, and stakeholder communication strategies.
Content Marketing and Search Optimization
Covers content marketing as a long term organic growth channel together with the full breadth of search engine optimization. Candidates should be able to explain how content drives awareness and organic traffic, map content types to funnel stages, and design distribution strategies and editorial workflows to scale content production. Core search engine optimization skills include keyword research and long tail targeting, on page optimization such as title tags, meta descriptions, headings, internal linking, and content structure, off page strategies such as link building and outreach, and technical search engine optimization topics including crawlability, index management, mobile indexing, site speed, structured data, canonicalization, and redirect management. The topic also covers using organic search and content performance insights to inform adjacent marketing work (for example, sharing keyword and content performance data with paid or performance marketing teams), measurement and analytics skills such as selecting and tracking content and organic traffic KPIs, understanding attribution and cross channel reporting at a conceptual level, measuring organic traffic, leads, and conversions, and estimating content ROI. Finally, this topic assesses operational collaboration and playbooks such as keyword ownership and prioritization, editorial calendars and handoffs, and practical workflows for coordinating content and search optimization work with adjacent marketing teams.