[[{"@type":["Article"],"@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Article","@context":{"@vocab":"http:\/\/schema.org\/","kg":"http:\/\/g.co\/kg"},"url":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/","publisher":[{"@id":"https:\/\/www.schemaapp.com\/#Organization"}],"audience":"https:\/\/schema.org\/PeopleAudience","inLanguage":"en-CA","image":[{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_0_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/Google-Search-Consoles-main-interface-showing-a-Performance-graph-600x225.png?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_1_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/GSC-clicks-and-impressions-example-600x201.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_2_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-30-54-600x528.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_3_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-31-51-600x590.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_4_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-32-44-600x223.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_5_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-33-46-600x304.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_6_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-38-06-600x286.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_7_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-39-05-600x315.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_8_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-39-20-600x420.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_9_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-37-15-600x288.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_10_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-40-44-600x357.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_11_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2020\/12\/2025-03-20_14-41-45-600x802.jpg?strip=all&lossy=1&ssl=1"},{"@type":"ImageObject","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Highlight20251010191959150-393688_12_Article_image_ImageObject","url":"https:\/\/ezk8caoodod.exactdn.com\/wp-content\/uploads\/2025\/12\/Martha.png?strip=all&lossy=1&resize=100%2C100&ssl=1"}],"dateModified":"2026-07-09T14:18:00+00:00","datePublished":"2020-12-22T22:35:14+00:00","mainEntityOfPage":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/","timeRequired":"PT12M","potentialAction":[{"@type":"ScheduleAction","@id":"https:\/\/www.schemaapp.com\/schema-markup\/how-to-measure-the-impact-of-structured-data\/#Article_potentialAction_Schedule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to Measure the Impact of Structured Data for Rich Results in Google Search Console","name":"How to Measure the Impact of Structured Data for Rich Results in Google Search Console","description":"A step by step guide on how to measure the impact of structured data for rich results in Google Search Console.","keywords":["Explainers","Google Search Console","Rich Results","Schema Markup","Schema Performance Analytics","Structured Data"],"articleBody":"If you measure site performance, you already know about Google Search Console and probably use it regularly. When it comes to gauging the validity and performance of structured data on your site, it provides comprehensive, customizable reports that reflect how Google understands (and renders) your markup. \nIn this article, we\u2019ll take you through:\n\nMeasuring the Performance of Your Structured Data\nCapture your Starting Point\nInterpreting the Data\nMonitoring Rich Results with Enhancement Reports\nNext Steps\nFrequently Asked Questions\n\nNote: If you\u2019re looking for a more general introduction to Google Search Console, see Google\u2019s documentation on getting started.\nHow to Measure the Performance of Your Structured Data\nWhen you first log into Search Console, it will open with an Overview page, as shown below.\n\nTo dig into the search engine results page (SERP) data, click on \u201cFull Report\u201d. You can also access this information by choosing \u201cSearch results\u201d from the sidebar on the left under \u201cPerformance\u201d.\nYou will now be presented with the site performance for organic traffic. This includes total clicks, total impressions, average click-through rate, and average position. The default setting will display the last three months\u2019 worth of data.\nYou can click on any of the squares to toggle their metrics on and off in the graph. For a cleaner result, we recommend starting with only \u201cTotal clicks\u201d and \u201cTotal impressions\u201d.\n\nCapture your Starting Point\nIf you\u2019re just starting to implement your structured data, we recommend benchmarking the current site performance trends to date. There are two relevant types of data to benchmark. The first is performance data, the second is enhancement report data.\nGoogle Search Console provides a 16-month window of metrics, which means there is always a three-month overlap with the previous year. This data can be used to measure year-over-year progress. You have a window of opportunity to record the data now so that you have a larger frame of reference moving forward.\nEnhancement report data provides a 3 month window of metrics, which means that the data will disappear relatively quickly. Tracking the volume of indexed valid instances will help you provide context for changes in performance over time. We recommend capturing these metrics every 3 months to ensure you maintain a log of indexing over time.\nBelow we will outline how to apply filters to capture specific segments of your data.\nInterpreting the Data\nGoogle Search Console has several options for displaying data including by specific date range, page set, query, and search appearance. These parameters can be combined using filters in the \u201cPerformance on Search Results\u201d view.\nYou\u2019ll also find Enhancement reports which provide a breakdown of the health of individual rich results and their associated URLs, which we will discuss in detail later in the \u201cMonitoring Rich Results with Enhancement Reports\u201d section.\nDate Range\nThis filter allows you to segment the time period you want to explore.\nBy default, GSC presents data for the last 3 months, but this can be easily modified by clicking on the \u201cMore\u201d date filter. Then, you can select a preset or custom date range.\nSetting a date range that includes before and after you implemented structured data can help you measure its impact on performance.\n\nTime Period Comparison \nGoogle Search Console provides some predefined comparison periods. These can be found under the \u201cCompare\u201d tab within the Date range selection tool. To capture the largest amount of year over year data, select \u201cCompare last 3 months year over year\u201d.\nTo capture the largest amount of year over year data, select \u201cCompare last 3 months year over year\u201d.\n\nDue to how the years line up, sometimes the graph won\u2019t portray the data in an easily accessible view.\n\nTo accommodate for this, you can manually select the comparison period (start and end dates) to align with the same day of the week (e.g. Saturday or Monday). This will provide a better-aligned view when it comes to gauging growth.\nPage\nThe Page filter allows you to look at the performance of an individual URL, or a set of pages that have the same URL pattern. You can implement this filter by clicking the \u201c+ Add filter\u201d button beside the Search type filter and selecting the \u201cPage\u201d option.\n\nNext, you can either copy and paste the URL of a unique page you\u2019d like to measure, or a URL segment that represents a page set. Maybe you want to gauge the performance of all pages on your site containing \/blog\/ or \/products\/.\n\nThis is useful for assessing types that aren\u2019t eligible for rich results or don\u2019t have a related Enhancement Report.\nEx. If you have \u201cService\u201d markup deployed to all pages within your \/health subfolder, you can implement that subfolder as the Page filter to measure your results.\nMonitoring Rich Result Performance with Search Appearance\nIf a page is eligible for rich results, use the \u201cSearch Appearance\u201d filter within the \u201c+ Add filter dropdown to display the performance of specific rich result types.\n\nFrom here you can filter by the specific type you\u2019re curious about, like \u201cReview snippet\u201d or \u201cProduct snippets\u201d.\n\nIf the pages weren\u2019t previously receiving rich results, you\u2019ll likely see a steep increase from zero. Comparing the clicks and impressions from these reports to those of the overall \u201cPerformance on Search Results\u201d allows you to see what percentage of clicks and impressions can be attributed to rich results.\n\nMonitoring Rich Results with Enhancement Reports\nEnhancement reports come in handy when you want to assess both the validity and performance of specific rich result types. Currently, Google Search Console provides reports for the following features:\n\nBreadcrumb\nCourse info\nDatasets\nForum postings\nEducation Q&As\nEvents\nFAQs\nFact checks\nHotels\nImage metadata\nJob postings\nLearning videos\nMath solvers\nMerchant listings\nPractice problems\nProduct snippets\nProfile pages\nQ&As\nRecipes\nReview snippets\nSpecial announcements\nSubscribed content\nVacation rentals\nVehicle listings\nVideos\n\nThese Enhancement reports show the number of instances that are valid, instances that contain errors or warnings, and the number of impressions associated with each rich result type. You\u2019ll generally see the number of impressions rise with the number of valid instances.\n\nIf you\u2019re deploying markup to a large number of pages, the error and warning reports give you an overview of the health of your markup. These can either inform you that something in your markup is broken, or that a required piece of information is missing.\n\nThese reports are broken down into types which can, themselves, be clicked on in order to see which URLs are being impacted. Once you\u2019ve resolved any issues in your markup, you can click \u201cValidate fix\u201d to get Google to recrawl and revalidate.\nAlways remember, \u201cError\u201d means you\u2019re missing something that\u2019s required in order to be eligible for rich results. \u201cValid with warning\u201d means you\u2019re only missing recommended properties. These instances will still be eligible for rich results, they just won\u2019t include all the available features.\nFor more information about troubleshooting and resolving errors, check out Google\u2019s documentation on Rich result status reports.\nNext Steps\nNow that you understand the basics of using Search Console to monitor your structured data, you can create and compare any number of segments to gather interesting data points. \nThe following list provides some ideas for how you can use filters to gather new metrics: \n\nCalculate the percentage of impressions or clicks that your rich result segments are achieving compared to the sitewide performance. \nCalculate the change in growth rate by determining the difference between the average month-over-month growth before and after structured data implementation. Optimally, this would use the same number of months before and after for an accurate representation of this change.\nCalculate the growth of rich results as a percentage of total growth by determining the difference between two time periods for both rich results and sitewide and then calculating the rich results difference as a percentage of the sitewide difference.\n\nGoogle Search Console is an excellent tool with a lot of opportunities for customization. That being said, it does have a bit of a learning curve. Having pushed Search Console to its reporting limits ourselves (at least where structured data is concerned), we\u2019ve been working to develop an automated way to answer the kinds of questions schema users want to know.\nIf you\u2019re less interested in playing with Search Console\u2019s filters and want an easier way to access schema-specific reports, contact us and ask about our Schema Performance Analytics.\nMake Reporting Easier with Schema Performance Analytics\nIf you\u2019re eager to go beyond the basics of Google Search Console and want a faster, clearer way to measure the impact of your structured data, Schema App\u2019s Schema Performance Analytics (SPA) can help.\nSPA is our purpose-built reporting solution designed to give you a deeper, more flexible view of your Schema Markup performance. It integrates data from Google Search Console with your structured data deployment through Schema App\u2019s tools, allowing you to build reports that are tailored to your business and show the true ROI of your schema strategy.\nWith SPA, you\u2019re no longer limited by GSC\u2019s row caps or rigid interface. You get access to the full data set across all rich result types, with powerful filtering and segmentation options. Whether you\u2019re reporting to executives or optimizing pages, SPA makes it easier to track, analyze, and communicate the value of structured data.\nIf you\u2019re less interested in playing with Search Console\u2019s filters and want an easier way to access schema-specific reports, contact us and ask about our Schema Performance Analytics.\nStart reaching your online business goals with structured data.Get Started\nFrequently Asked Questions\nHow do I know if my Schema Markup is working?\nYou can test whether your structured data is valid on individual pages by using the Schema Markup Validator (SMV), which officially replaced Google\u2019s Structured Data Testing Tool on August 9th, 2021, and Rich Results testing tool. \nFor sitewide validation, run your site through the Schema App Analyzer. The number of rich-result-eligible items can also be measured in Google Search Console\u2019s Enhancement Reports, though it can take some time for these reports to be populated.\nTo measure the impact of rich results on site performance, apply \u201cSearch appearance\u201d filters to the Google Search Console Search results report. You can also explore our blog post: How Do I Know If My Schema Markup Is Working?. \nIf you want to go beyond rich results to measure the impact of structured data as a whole, ask us about Schema Performance Analytics. \nWhat kind of SEO impact should I expect from structured data and rich results?\nImplementing structured data makes your content eligible for rich results, and provides search engines with a deeper understanding of your content. By including it in your SEO strategy, you can expect to see an increase in digital marketing objectives like clicks, impressions, click-through-rate, and conversions.\nFor more information about the impact our clients have experienced, check out our case studies.\nHow do I get rich results?\n\nApplying the appropriate structured data to your content can make it eligible for rich results.  Not sure where to start? Check out Google\u2019s list of Rich Result Features for the required types and properties, and make sure your markup follows Google\u2019s General structured data guidelines.\nStill have questions? Contact Schema App to learn about our full-service enterprise solutions.\nHow do I fix errors in my structured data?\nIt\u2019s very important that you check your schema markup so you can be sure that it is working hard behind the scenes for your website! While you\u2019re waiting for the Google Search Console results to appear, there are a variety of tools that allow you to check for any errors or warnings that your markup may be generating. \nWe recommend the following:\n\nGoogle\u2019s Rich Results Testing Tool (for single-page validation)\nThe Schema Markup Validator (to check for errors in your schema markup syntax)\n\nIf you need a hand getting started with your structured data strategy, we\u2019ve helped customers such as SAP and Marshfield Clinic Health System drive more quality search traffic to their websites. \nStart reaching your online business goals with structured data.Let\u2019s Talk\nMartha van Berkel CEO, Co-founder Martha van Berkel is the co-founder and CEO of Schema App, a semantic technology company that helps enterprise brands control how they are represented in AI and search. By building a semantic data layer, Schema App enables organizations to improve visibility, protect their brand, and drive more efficient organic growth. 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