How to determine the actual effect of Schema markup on improving page click-through rates?

When needing to determine the actual effect of Schema markup on page click-through rates, it is usually evaluated comprehensively by comparing the search display format and traffic data before and after markup. Specifically, it can start from three aspects: Display format check: Search for the core keywords of the target page in search engines and observe whether rich snippets (such as review stars, product prices, event times, etc.) appear in the results. Pages with effective Schema markup usually have richer visual displays. Traffic data comparison: Use tools such as Google Search Console and Baidu Resource Platform to compare changes in "impressions" and "click-through rates" of the page before and after markup. If the click-through rate increases while impressions are stable, it may be related to the rich snippets brought by Schema. Competitor reference analysis: Compare the click-through rate differences with similar pages that do not use Schema or use different types of Schema, especially focusing on click performance in the same search position. It is recommended to regularly monitor the display status of search results, optimize Schema types (such as Article, Product, etc.) in combination with user behavior data (such as heat maps), and continuously improve the attractiveness of the page in search results.