If you are managing the Schema Markup for a large organization, there’s a good chance you’re also managing the markup for different departments or lines of business within your organization.
Schema Markup (aka Structured Data) can help your websites stand out in search and drive traffic to your site. However, calculating the return on investment on your Schema Markup efforts can be tough – even more so when you’re trying to measure value by department, geography location, or line of business.
To solve this challenge, we’re excited to announce Page-Level Report – a new reporting dashboard on Schema App’s Schema Performance Analytics (SPA) platform.
What is the SPA Page Level Report?
The new SPA Page Level Report combines data from Google Search Console and Schema App’s Highlighter and Editor. This allows users to customize their reporting and gain more granular, page-level insights on their Schema Markup strategy and performance.
Users can see the performance metrics (clicks, impressions, click-through rate) by URLs, date, and query, as well as the performance of a specific URL and the corresponding query in a single table.
What insights can I gain from the SPA Page Level Report?
With the Page Level Report, users can filter their data by groups of pages/URLs using the URL Match and URL Wildcard filters. This feature enables users to view their performance based on certain groups of URLs, departments or lines of business.
They can then report to each business unit on their Schema Markup share, allowing each area of the business to better measure the ROI of Schema Markup on their business unit and the impact SEO has on their business results.
Identify Opportunities for Content Improvement
With the Page Level Report, users can get insights on their top-performing keywords, rich results, and Schema App template. These insights can help users identify areas in their Schema Markup strategy that are working / not working and implement these learnings across their sites.
URLs without Schema Markup – Users can view the URLs that do not currently have any Schema Markup on the page and look at expanding their Schema coverage to those pages to be eligible for more types of rich results.
Filter by search appearances – Users can also see their mix of rich results. This information can help users identify opportunities to diversify their rich results and inform their content strategy moving forward.
Compare Performance over Different Time Periods
The Time Periods Comparison tab in Page Level Report will allow users to compare the performance of specific URLs over two time periods. Users can see trends or match the changes with their Schema Markup efforts to gain insights into the effectiveness of their strategy.
Downloads for Further Analysis
Unlike Google Search Console, Schema Performance Analytics enables users to export more than 1000 lines of data for further analysis. They can download an entire dashboard to PDF or download specific widgets to Excel. This dashboard can then be shared with different stakeholders and used for further analysis.
Learn more about the 6 main reporting tabs in the Page Level Report dashboard here.
Difference between Schema Performance Analytics and Google Search Console
Schema Performance Analytics provides users with data from Google Search Console, with the added ability to view more data. Users can also drill down further into data dimensions such as their Schema App template and branded keywords that are not available on GSC.
Here are some key differences between SPA and GSC.
|Key Differences||Google Search Console (GSC)||Schema Performance Analytics (SPA)|
|Data Limitations||GSC only allows users to export 1000 rows of data per query – which can cause marketers with a huge website to miss out on many useful query data.||SPA allows users to export their entire data set and every single query for a more granular analysis.|
|Data Retention||GSC only stores and processes 16 months of data at a time – Which means that users can only view 16 months of historical data on the platform unless they export the data.||SPA stores and processes ALL historical data from the date of integration with Google Search Console.|
|Additional Dimensions||The GSC dimensions that users can query are Date, Page, Query, Search Appearance, Device and Country.||The SPA dimensions that users can query are Date, Page, Query, Search Appearance, Branded / Non-Branded Keywords and Schema App template.
The Schema App Template dimension allows Schema App users to identify opportunities for improvement to their markup.
|Filtering Capabilities||GSC only allows users to filter their data one rich result at a time.||SPA allows users to select multiple rich results to filter their data each time.|
|Data View||In GSC, the query and page data are separated – If users want to see the queries for each page on GSC, they’ll have to first click on pages, select the page, and then click on the Query tab. They’ll have to do this on a page-by-page basis.||In SPA, users can see the query data for every page / URL in a single view. They can also filter the data by Search Appearance, Search Type, Date Range, groups of URLs, and more.|
Who can get access to SPA Page Level Report?
Schema Performance Analytics is available to all Schema App Enterprise Customers. The analytics reporting tool will help your SEO team better visualize the performance of their Schema Markup efforts and gain insights to inform their content strategy and continue to stand out in search.
If you are currently a Schema App Enterprise Customer, please contact your Customer Success Manager to set up SPA.
If you’re not currently a Schema App customer, we’d love to help you leverage Schema Markup to stand out in search. Get in touch with us today to learn more!
Martha van Berkel is the co-founder and CEO of Schema App, an end-to-end Schema Markup solution provider based in Guelph, Ontario. She focuses on helping SEO teams globally understand the value of Schema Markup and how they can leverage Schema Markup to boost their SEO strategy and drive results.
Prior to Schema App, Martha was a Senior Manager at Cisco Systems for 14 years responsible for the global online support strategy. She has a degree in Applied Mathematics and Engineering, attended MIT for Innovation and Strategy, is a Mom of two, as well as an avid rower.