However, Schema Markup is a very technical aspect of SEO, and navigating the complexities requires technical expertise, ongoing effort, and costs. As a result, we frequently encounter questions from our customers, digital marketers, and IT teams alike, seeking clarity on Schema Markup.

This article addresses some of these common questions head-on, providing insights to help you understand Schema Markup’s role in your SEO strategy to help you confidently implement it on your pages.

Let’s start with one of the most pressing questions newcomers to Schema Markup often ask…

Does Schema Markup help SEO?

Yes. Schema Markup contributes to SEO by improving click-through rates (CTR), which can indirectly support conversions. It aids SEO efforts in two main ways.

Firstly, it helps search engines comprehend and contextualize page content. Schema Markup enhances search engine understanding by identifying and describing entities on a page, which improves comprehension of the page’s topics and their connections within the site and across the web. This precision leads to more relevant search results, driving qualified traffic to your site.

In the context of AI search, where most search engines are powered by Large Language Models (LLMs) prone to errors and hallucinations, this understanding becomes even more critical. Schema Markup can ground and train the Large Language Models (LLMs) with factual information. This, in turn, allows them to provide more accurate search results and helps you control how the AI search engine interprets your brand and content, conveying that information accurately within search results.

Secondly, Schema Markup facilitates the generation of rich results. Rich results enable your content to stand out on the SERP as an enhanced organic search result, making it more attractive and engaging to users. This enhancement often leads to higher user engagement and CTR.

Specific types of rich results, such as Review Snippets, also play a crucial role in bolstering trust and credibility for your brand by fostering trust and positive brand perception through reviews and star ratings. For example, physician pages with Review Snippets tend to have higher CTRs than those without. Similarly, products featuring pricing information in the SERP through Product rich results typically garner more clicks.

Our customer, Baptist Health, saw a 491% increase in CTR for physician pages with review snippets compared to those without. Similarly, our customer Avid Technology experienced a substantial 241% increase in CTR for product pages with rich results compared to those without.

Is Schema Markup a search ranking factor?

No. Implementing Schema Markup does not directly impact your search rankings. However, it can indirectly impact rankings in certain ways.

While Schema Markup is not a direct ranking factor – like quality content, page speed, or backlinks – implementing Schema Markup can enhance your website’s appearance in the SERP by providing search engines with more clarity about your content, your organization and other associated entities.

This structured data enables search engines to better comprehend the content on your web pages. As a result, the search engine can more accurately align your page with the intent and meaning behind users’ relevant search queries, which could potentially improve your page’s ranking.

Can bad Schema Markup cause ranking loss?

Yes, it’s possible. Incorrect or poorly implemented Schema Markup can negatively affect your website’s search rankings.

What constitutes “bad” Schema Markup?

It could be markup that…

• Doesn’t accurately reflect the content on your page, aka schema drift.
• Goes against Google’s Content Guidelines – i.e. marking up invisible, irrelevant, or misleading content or engaging in other manipulative behaviors, which can be considered problematic.

If search engines encounter Schema Markup that is inaccurate, unclear, or violates their guidelines, they may ignore it or even penalize your site.

Some ways incorrect Schema Markup can impact your rankings include:

• Penalties: If search engines determine that your Schema Markup is manipulative or deceptive, they may penalize your website, resulting in lower rankings or even removal from search results.
• Misinterpretation: Incorrect Schema Markup can confuse search engines about your web pages’ content and context. This can lead to misinterpretations and may cause search engines to display your site less prominently or inaccurately in search results.
• User Experience: “Bad” Schema Markup can result in inaccurate or irrelevant information displayed on the SERP. This can lead to poor user experience, indirectly impacting your rankings as search engines aim to provide the most relevant and helpful results to users.

Can duplicate Schema Markup affect rankings?

While duplicate Schema Markup may not have a direct impact on rankings, it can diminish the effectiveness and clarity of your Schema Markup.

What is duplicate markup?

Duplicate markup refers to having two separate sets of markup describing the same entity, like a product, on a single page. If both markup sources provide identical content, such as the same product name and price, it’s typically not an issue. However, if the content differs between the two sources, for example, one block of Product markup shows a price of $15 while the other lists it as $15.99, it can confuse search engines like Google.

This confusion may reduce the likelihood of your page being awarded that result, resulting in uncertainty and potentially incorrect information on the SERP.

To conclude, duplicate markup may make your markup less effective if:

• The intent of the page is unclear
• There is conflicting information

Can there be two Schema Markup blocks on one page?

Yes, but let’s clarify. It is acceptable to have two primary entities that are neither identical nor nested and accurately describe the page. Ideally, the markup should be connected and/or nested, but this isn’t always possible given the hierarchy of entities on a page.

For instance, a Product Detail Page may have Product markup alongside BreadCrumb markup as primary entities. Since the breadcrumb isn’t related to the product entity, nesting it under the top-level Product markup doesn’t make sense.

However, if the page contains reviews and ratings related to the product, it’s advisable to nest the Review and AggregatingRating markup under the top-level Product markup. This accurately reflects the relationship between the product and these additional elements.

Ultimately, the goal is to clarify what’s on the page and how these content elements relate to each other. If there’s a connection, nesting is recommended; if not, having separate markup on a page is acceptable.

While Google won’t penalize you for failing to nest your markup, nesting is crucial for accurately representing relationships on your site and building a useful content knowledge graph.

How can I measure the performance of Schema Markup on my website?

How you measure performance may depend on the kinds of markup you’re adding to your page and your desired outcomes. You can assess performance either by individual URLs or by aggregating multiple URLs into groups, such as sitewide results or all pages within a specific subfolder.

There are a variety of tools you can use for this purpose, such as:

Google Search Console

Google Search Console (GSC) provides insights into how Google indexes your markup, quality improvements, and offers limited ROI reporting. Let’s dive into the feature within GSC that best helps you monitor and maintain Schema Markup.

Search Results Performance Report by Search Appearance

The Search Appearance dimension report in Google Search Console will show you the clicks, impressions, click-through rates, and ranking by rich result. You can dive deeper into each rich result to see which URLs are achieving it and how the URLs with rich results are performing.

There are some limitations when using GSC. Namely, their 1000-row user interface limitation. This impacts websites with a large number of pages and those that rank for a large volume of queries. Additionally, creating the complex groupings required for strong ROI reporting can be a challenge in the GSC’s UI. It can be hard to isolate URLs without the use of regular expressions and complex queries that look for specific patterns in a text string.

Schema Performance Analytics

The Schema App team created Schema Performance Analytics (SPA) for in-depth markup performance reporting. It combines the markup performance data from Google Search Console and the Schema App Highlighter and Editor, and gives users more filtering options to analyze their markup by page level or line of business.

Additionally, SPA’s Page Level Report is not limited to 1000 rows of data. Our team imports the entire set of metrics using Google Search Console’s API so you can analyze the entirety of your dataset with ease.

A recent addition to Schema Performance Analytics is the “Incremental Clicks from Rich Results” feature.

This feature divides the results for an individual URL into instances where a rich result was attained versus when it appeared solely as a standard blue link. It calculates distinct clicks, impressions, and CTR for each group.

By leveraging this data, we can assess the frequency of achieving a rich result, the percentage change in CTR when a rich result is achieved, and extrapolate insights into the additional clicks achieved due to the enhanced appearance. For further details, refer to this documentation.

You can combine these platforms and methods to get a well-rounded overview of your Schema Markup’s performance. By assessing its impact on your website’s performance, you can make informed decisions to optimize its implementation for better results.

You can learn how to calculate ROI from Schema Markup by reading this article. 

When will I start to see the impact of Structured Data in organic search?

The timeline for observing results from structured data in organic search depends on your markup strategy and the result you want to achieve.

For rich result-eligible markup, the impact can be evident quite quickly as soon as Google indexes your markup. There are a few key steps that must occur in order to see results:

1. Markup deployment: Your team’s changes to your markup are reflected in our system within 5 minutes of making changes in the Schema App Editor or Highlighter. If your website uses caching technology, it could take longer for the JSON-LD to appear in your rendered HTML. For more info, refer to this support document.
2. Markup indexing: After deployment, Google needs to index the Markup, which depends on how frequently Google crawls your site. This point in the process is also when we may discover technical limitations preventing Google from seeing and using your markup. These discoveries could cause further delays.
3. Google may begin awarding Search Features as soon as it indexes your results. The shortest time period for this is 2-3 days, but this process typically takes closer to a week or more.

When evaluating the impact of using structured data for semantic or entity-related objectives, it becomes more challenging to measure the direct impact of implementing Schema Markup. Over time, you may notice your page appearing on the SERP for more relevant keywords and observe an increase in click-through rates.

However, as per information from this Google SEO Starter Guide, these outcomes may take weeks or months to materialize. Unlike Rich Results, semantic efforts do not have a performance report filter in GSC. To report on results, we recommend a combination of approaches, including monitoring the SERP for key queries and in-depth data analysis on performance metrics.

How can we separate the impact of Schema Markup from other SEO initiatives?

Identifying the distinct impact of Schema Markup can be relatively straightforward because implementing Schema Markup is typically the primary method of achieving a rich result. However, there are exceptions, such as Merchant Listing Results, which can originate from markup or a Google Merchant Center account.

To separate the impact effectively, you can utilize Schema Performance Analytics tools like Page Level Analysis and Incremental Rich Result Clicks. However, in cases where other initiatives target the same group of URLs as the markup, isolating the direct impact becomes challenging.

There are, however, some strategies to consider:

1. Clear Team Communication! To isolate the impact of Schema Markup from the work of your content team, it’s important to know what your team is working on that could impact results, including URLs, types of content and site improvements made, etc.
2. Do A/B Testing or use control groups: Try to create equal groups of URLs with similar traffic volumes and formatting. You can use Schema Performance Analytics to compare the results over time between the experimental group (with Schema Markup) and the control group and assess any significant differences.
3. Acknowledge Challenges: Sometimes, it might be challenging to completely isolate Schema Markup’s impact from other initiatives. SEO is a cross-functional industry, and accepting the reality that shared efforts lead to shared results may be necessary.

Supporting you on your Schema Markup journey

Understanding the significance of Schema Markup is crucial for optimizing website content and driving success in SEO, AI, and semantic search initiatives. Digital teams must understand and measure the impact of Schema Markup on their SEO goals to craft and implement an effective strategy tailored to their organization’s goals.

If you’re looking to develop and implement an advanced Schema Markup strategy at scale and build your knowledge graph, Schema App offers an end-to-end solution that combines our semantic Schema Markup platform with High Touch Support services to drive results. Contact our team to get started.

The post Common Questions About Schema Markup for SEO appeared first on Schema App Solutions.

Example of a Product rich result.

Schema Markup has been around since 2011 and is now considered a must-do SEO strategy. As search engines shift to become more semantic and competition heats up, Schema Markup provides organizations with a measurable way to stay relevant on the SERP and differentiate themselves from other competitors in the market.

However, implementing a semantic Schema Markup strategy is often challenging and costly. Some organizations lack the expertise and internal resources to manage their markup. Other organizations have complicated web architectures or multiple domains, adding further complexity to the implementation process.

Fortunately, you can overcome the challenges of managing Schema Markup by partnering with Schema App. Our team provides an end-to-end scalable Schema Markup solution to help enterprise SEO teams execute their Schema Markup strategy with scale and agility.

Not sure if Schema App’s end-to-end Schema Markup solution is right for your organization? Here are five distinct benefits of our Schema Markup solution:

Benefit 1: Ability to Manage Schema Markup at Scale

Managing your Schema Markup on a page-by-page basis is incredibly complicated and time-consuming. This approach is not nearly scalable enough to facilitate implementation across a large-scale site.

For instance, let’s say that you wanted to add Review Schema Markup to all of your company’s location pages. To accomplish this, you would have to write the Schema Markup for each location page, and then add it to the individual pages manually. If you change the content on your page, you’ll also need to go back and update the Schema Markup to avoid Schema Drift.

As a Schema App customer, you would gain access to our Schema App platform, including our Highlighter. The Schema App Highlighter allows users to create semantic Schema Markup templates for pages with similar layouts (i.e. blogs, location pages, etc.) and deploy Schema Markup to those pages in a scalable manner.

When you first become a Schema App customer, you will be assigned a Customer Success Manager (CSM) who will help you customize your Schema Markup strategy and create your templates on the Highlighter accordingly.

After setting up the templates, the Highlighter will dynamically generate and deploy Schema Markup based on the content on your page. Your team can make content updates to the page without manually updating the markup.

When you create a new blog post, for example, the Highlighter will automatically deploy the appropriate Schema Markup to the page if it fits the template. This avoids the need for teams to take the time to add Schema Markup to these new pages each time.

Adding to this scalability, once your entities have been identified using Schema Markup, our Omni Linked Entity Recognition (LER) can link the known entities on your page to external authoritative knowledge bases.

Benefit 2: Develop a Reusable Knowledge Graph to Future-Proof for AI

Many organizations implement Schema Markup to help their pages stand out on search through rich results. They use plugins to automatically add Schema Markup that offers easy implementation. However, plugins restrict Schema Markup to a surface-level approach without establishing connections among entities on the site or linking them to external knowledge bases. This impedes the creation of a robust knowledge graph.

In doing so, they miss out on the semantic value of implementing Schema Markup. The main purpose of doing Schema Markup is to help search engines understand and contextualize the content on your site so that they can provide more relevant results to searchers.

Knowledge graphs are important for understanding the relationship between your entities and disambiguating what your content is about.

At Schema App, we go beyond the mere generation of Schema Markup; we leverage our semantic technologies to connect the entities on your site using Schema Markup and help you develop a reusable content knowledge graph. This involves not only defining entities but also establishing connections on and off the site, using features such as Omni LER.

The outcome is a comprehensive RDF knowledge graph that informs search engines about your business. This graph consolidates all your Schema Markup into a single, accessible marketing data layer.

On top of informing search engines, you can go on to re-use this knowledge graph to ground your Language Model Models (LLMs) with factual information about your business in a structured manner. This puts you in control of how your brand content is being interpreted by these intelligent systems.

Benefits of a Content Knowledge Graph

Implementing semantic Schema Markup and entity linking helps build your content knowledge graph, which:

1. Enhances search engines’ understanding of your entity relationships, optimizing content relevance and query accuracy in the SERP.
2. Facilitates effective matching of pages with user queries and driving higher qualified traffic and click-through rates.
3. Positions your content to be AI-search ready, improving search engines’ understanding and ensuring a refined user experience as AI becomes integral to delivering relevant answers.

Benefit 3: Access to Schema Markup Experts

Schema Markup is one of the most technical strategies in SEO. On top of learning the Schema.org vocabulary, one would also need to be able to implement the code and manage the markup on an ongoing basis to succeed.

So, while most SEO teams undoubtedly understand the benefits of implementing Schema Markup, they are unlikely to have the time or expertise to do it well.

It’s essential to view Schema Markup as more than a one-off SEO task; it’s an ongoing business strategy shaping your brand’s search presence.

Therefore, it’s crucial to have a dedicated, knowledgeable resource like Schema App managing your Schema Markup strategy on an ongoing basis and ensuring that it aligns with your business objectives.

You will partner with a team of experts and a dedicated CSM, ensuring effective Schema Markup management from strategy to results.

To start, your CSM will create a customized Schema Markup strategy to fit your organization’s desired outcomes. Next, they will bring your strategy to life by setting up, authoring, and deploying your Schema Markup on the Schema App platform.

As an extension of your SEO team, your CSM will also monitor your Schema Markup strategy regularly and provide content recommendations and improvements to it during your monthly High Touch Support hour. This ensures that you maximize your return from our solution.

Here’s what our customer, Laura Losito from Sonova, has to say about their Customer Success Manager.

Our customer success manager is very responsive and helpful whenever we find errors in Google Search Console or see a decline in certain metrics. She’s always able to assist and willing to investigate the issue and provide explanations or solutions.

Read the Sonova Audiological Care Business case study to learn about the value and services provided by a Schema App CSM.

Benefit 4: Reduce Dependency on IT and Increased Agility

One of the primary reasons enterprises struggle to implement an effective Schema Markup strategy is the limited bandwidth of their IT team.

To deploy and update the markup, SEO teams often require support from IT. If the IT team has other competing priorities, they often delay the implementation and management of Schema Markup.

With our Schema App platform and Customer Success team, your SEO team can operate with more agility. After the initial integration process, your SEO team can rely on their Schema App Customer Success Manager to make any updates to the markup using our Editor or Highlighter tool.

They’ll no longer require the assistance of the IT team to implement and manage their Schema Markup strategy.

Ultimately, that will prevent markup implementation delays and help your SEO staff manage your new strategy more effectively.

Benefit 5: Measurable ROI

According to a 2021 survey, 84% of marketing professionals feel pressured to demonstrate their ROI to justify marketing spending. While paid digital advertising offers an easy-to-measure ROI, the results are often lackluster.

Although measuring the ROI of SEO is widely considered quite difficult, many view SEO as one of the most effective marketing tactics.

Schema Markup offers a perfect balance between the two, as you can clearly measure the impact of it on your business objectives and achieve an exceptional ROI.

When you incorporate Schema Markup on your site, you will start achieving rich results on Google’s search engine results pages (SERPs). Results of rich results can be measured through Google Search Console as well as our Schema Performance Analytics (SPA) platform. On SPA, you can view detailed reports about the impressions, clicks and click-through rates (CTR) you generate from those rich results and more.

One of the reports in Schema Performance Analytics shows the CTR for a URL or group of URLs when it achieves a rich result and when it does not achieve a rich result. Most often, URLs with rich results yield a higher click-through rate and contribute to higher conversion.

By using these ROI measurement methods, Schema App clients can see a positive return on their work with Schema App.

The Value of Schema Markup Beyond Rich Results

It’s important to note, however, that the value of Schema Markup goes beyond rich results. Your content should be tailored to your audience’s needs and not produced solely for the purpose of achieving a rich result. Instead of only focusing on rich result eligibility in your Schema Markup strategy, focus on the semantic value of implementing Schema Markup and identifying and connecting your entities within a knowledge graph. This is where you will see the true return on investment.

Read our customer stories to see how we’ve helped clients across different industries gain measurable results from implementing Schema App.

Schema App: The Ideal Solution for Schema Markup Management

Our Schema Markup solution can help you accelerate your Schema Markup, provide measurable results, and yield a strong ROI. Our customers, like SAP, CAPREIT, Avid Technology, and Baptist Health have all seen significant growth in organic traffic through our Schema App solution.

Not only have they been able to get measurable results, but they have also increased their agility as search evolves and used our expertise to execute their Schema Markup strategy with confidence.

If you need help implementing a semantic Schema Markup strategy at scale, we can help. Get in touch with us today.

The post 5 Benefits of Hiring Schema App to Manage Your Schema Markup appeared first on Schema App Solutions.

Rich Result Changes in October 2022

Product, Reviews and Video are steady

After a turbulent last few months, we are happy to report that we are seeing growth in Product rich results, and steady increases in clicks on Review Snippets and Video rich results. It is definitely a relief to see some calming results after the stormy summer.

We are also happy to start to be able to share some industry data. In 2022, we’ve seen the most rich results being awarded to our Enterprise customers in the area of Video, Product and FAQ.

Data source: Schema App – Schema Performance Analytics

FAQ Rich Results Continue to Change

FAQ is one of the rich results that has had significant fluctuations this year. We continued to see an impact on the FAQ rich results, which is congruent with other reports in the industry.

52.17% of our customers saw a drop in clicks for their FAQ rich results in the October however, impressions are increasing. The decrease in clicks is subtle, but not growing with impressions. We are seeing this across industries and are monitoring it closely to be able to attribute it to a specific strategy or content approach.

Data source: Schema App – Schema Performance Analytics

Other SEOs have observed this similar trend occurring in October but across a wider time frame. Is this the result of the October 2022 Spam update? The rollout was completed on October 21st, so the timing is off.

Is Google showing fewer FAQ rich results and maybe other results recently? https://t.co/F1idQOaN6J via @randymajors and @RankRanger pic.twitter.com/KSlXbV08wb

— Barry Schwartz (@rustybrick) October 25, 2022

Barry for the win, with additional insight that another algorithm change had occurred on October 28th. This aligns more with the data we are seeing. There are additional changes going on with Google’s algorithm AFTER the spam update, and these changes are specifically impacting FAQ clicks.

Google search ranking algorithm update or adjustment on October 28th (unconfirmed) https://t.co/NfejjTKS4Y pic.twitter.com/mGmFa6olwK

— Barry Schwartz (@rustybrick) November 1, 2022

@rustybrick It seems Google drastically reduced showing FAQ Rich Results in SER across the board about the same time as the Oct 19 spam rollout. Checked several queries on both desktop and mobile and only saw 1 site with a few FAQs appear. Any confirmation of this? Policy change?

— Randy Majors (@randymajors) October 24, 2022

Source: Marie Haynes Report

The good news is that the FAQ rich result has grown overall in 2022, and the early days of November are showing hopeful results. We’ll be monitoring performance week-over-week to see if there is any correlation with content or industry.

Data source: Schema App – Schema Performance Analytics

Google Updates in October 2022

Schema.org V15 Released with more properties for Products

Schema.org released another version with a focus on adding new properties in pending for products. One of the new properties to highlight is the positiveNotes and negativeNotes for use on Product. This property allows users to showcase the pros and cons of a product, and was created in support of a new structured data feature announced in August for Product Reviews.

Good news! Schema App already supports Schema.org v15 if you want to try out the new pros and cons new search feature.

Provide a site name on Google by adding WebSite Structured Data

When Google lists a page on the search engine results page, the result shows the name of the site that the page is from – also known as the site name.

Previously, Google would automatically generate a site name by using sources such as

• Content in <title> elements
• Heading elements, such as <h1> elements
• Og:site_name

This October, Google announced that you can indicate your preferred site name by adding WebSite Structured Data. The site names are currently supported at a domain level, and not at the subdomain or subdirectory level.  

These changes indicate Google’s increased use of Structured Data as a key source of information. 

New Image Structured Data Properties

Google has added 3 new Structured Data properties – creditText, creator and copyrightNotice – that can be used with the ImageObject type to provide support for image credits, copyright and creator information. 

“Previously, you could only provide image credit information with IPTC photo metadata.”

By adding these Structured Data properties, web publishers can simplify the way they add creator data and add it in a scalable way across their sites. 

According to Schema.org, this is what each property is for:  

• creditText: Text that can be used to credit person(s) and/or organization(s) associated with a published Creative Work.
• creator: The creator/author of this CreativeWork. This is the same as the Author property for CreativeWork.
• copyrightNotice: Text of a notice appropriate for describing the copyright aspects of this Creative Work, ideally indicating the owner of the copyright for the Work.”

Unlike the IPTC photo metadata, you will need to add Structured Data every time you use the photo on your site. 

What’s interesting about this new use of Structured Data is that it is being used beyond search. This information is helping Google understand the copyright of the image. Are more teams at Google using Structured Data beyond search features? Only time will tell. 

To do machine learning, Google needs to broaden its data sources. They now get data from their crawls, Merchant Center, user clicks, and Structured Data.

Measure ROI of Schema Markup using Schema Performance Analytics

One of the things we love about Schema Markup is that you can attribute clicks directly to this nerdy SEO strategy. To help our customers measure the impact, we’ve recently released our Schema Performance Analytics Page-Level Reporting Dashboard.

This new Page Level Report combines data from Google Search Console and the Schema App Highlighter and Editor, to provide users with more granular page-level insights on their Schema Markup performance. 

Users can also filter their data by groups of URLs to better understand how the Schema Markup is performing for different lines of business or departments. This allows our customers to better measure the ROI of Schema Markup on each business unit and the impact SEO has on their business outcomes. 

Read more about Schema Performance Analytics Page Level Report on our blog.

Conclusion

This last quarter, we have seen a record number of core algorithm changes from Google. 

We are seeing rich results – like FAQs – fluctuate, which further emphasizes the need for diversity in your Schema Markup portfolio so that you can not only weather these changes but also thrive in them. 

Want to hear more? Listen to Martha’s latest podcast on Voices of Search, on how you can manage your Schema Markup like a financial portfolio. 

The post October 2022 Rich Results Weather Report Update appeared first on Schema App Solutions.

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?

Stakeholder Reporting

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.

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!

The post Introducing Schema Performance Analytics Page Level Report appeared first on Schema App Solutions.

Schema Performance Analytics vs Google Search Console

Schema Performance Analytics provides similar data to Google Search Console, but with the added ability to dig a little deeper into the data with different visualizations and customizable reports. We put an infographic together to explain these benefits:

With SPA, you are able to see performance (clicks, impressions, rich results) over a myriad of visualizations. You have the flexibility to select one, two or more time periods and compare how metrics have performed over the periods selected. You can also compare how different search types, search appearances, and branded vs non-branded keywords have performed over time.

You’re able to see the growth of your schema markup efforts over time with high level insights.

All of these insights can then help you to enhance your website content, so that you’re actually using structured data opportunities to inform your content strategy. Many users have reported using the data from SPA during their periodic reporting, comparing data from specific marketing periods and also identifying their highest performing Schema App templates.

Learn more about Schema Performance Analytics here.

Why Schema Performance Analytics?

At Schema App, we love using data to support our customers and to help them reach their online business goals. That’s why we created Schema Performance Analytics! Use the data to:

• Identify structured data opportunities on your website
• Use structured data opportunities to inform your website content strategy
• Quantify the results of your schema markup efforts

Who is Schema Performance Analytics for?

Schema Performance Analytics is offered to enterprise-level customers with growth mindsets, looking for a scalable structured data reporting solution. This expert tool empowers your SEO team to visualize the performance of their schema markup efforts, and to use that data to inform their content strategies.

Are you ready to unleash the power of structured data through Schema Performance Analytics? Reach out to your customer success manager to get started!

If you aren’t yet a Schema App customer, we’d love to help you reach your structured data potential. Let’s start building some meaningful connections.

The post Introducing Schema Performance Analytics appeared first on Schema App Solutions.