SEO is one of the most cost effective ways to drive long-term traffic, but only if you know how to measure and improve it. In this course, you’ll learn how to analyze SEO performance data and turn insights into actionable growth strategies.

You’ll start by understanding key search performance metrics such as impressions, clicks, click-through rate (CTR), and average position. Using real-world datasets inspired by Search Console exports, you’ll learn how to identify underperforming keywords and uncover “low-hanging fruit” opportunities that can increase traffic without changing rankings. From there, you’ll move beyond analysis into decision making. You’ll learn how to identify content gaps, evaluate whether issues are content related or technical, and apply a structured prioritization framework using impact vs. effort. You’ll also explore modern workflows, including AI-assisted keyword analysis, to surface new opportunities at scale. Through hands on activities, you’ll calculate visibility gaps, estimate missed traffic, and build a practical SEO growth roadmap. By the end of the course, you’ll be able to confidently interpret SEO data, prioritize improvements, and recommend strategies that support organic growth.