The Strategic Value of Structured Data Implementation on SME Websites

Posted by CrystalontheWeb

Structured data is one of the most effective ways to increase the visibility of your website content and increase the sustainability of your SEO as Google implements regular updates to the SERP environment. Over the last five years, many of Google’s most game-changing SERP features have been driven by the use of structured data from across the web. Google for Jobs, Google Shopping, featured snippets, how-to instructions, recipe cards, knowledge panels, and other rich snippets all serve content from sites with structured data.

So, when we think about how small and medium-sized enterprises (SMEs) can compete in today's ever-evolving SERP landscape, time and time again, well-implemented structured data is what makes the difference.

In this blog I’ll explain the following:

In my experience, well-implemented structured data is effective for websites of all sizes and in all verticals. For my own clients, schema implementation has enabled growth, improved performance on search and created opportunities to reach new audiences.

Though the target markets, objectives and audiences differed in each case, I was able to use schema markup as a strategic underpinning of a wider SEO and marketing strategy. This is because schema has become a fundamental element of scalable SEO.

What is structured data in SEO?

On a website, structured data is a means of defining content with a uniform set of names and values, so that bots and machines can better read, index, understand, and serve the content of your site. While the phrase “structured data” can include elements like open graph for social media, microdata, or indeed any set of data that is organized uniformly (think of your CRM), generally when SEOs talk about structured data, we’re referring to structured data markup in JSON-LD as specified by Schema.org and recommended by Google.

Why is Schema.org structured data so strategically important?

Schema.org has become structured data HQ, because its framework — sets of vocabularies and relationships — was created and is maintained through a cross-platform partnership between Google, Microsoft, Yandex, and other major search engines. They regularly create new schema types and relationships aimed at making the information on the web more easily accessible to users.

Schema.org breaks down content into common vocabulary of predefined @types, which each have predefined properties, and can then be expressed using a common Javascript notation (JSON-LD). Like entries to the Oxford English Dictionary, the team behind Schema.Org are constantly adding new @types and properties in order to keep pace with user needs. At present, there are 778 types, but that number will continue to grow. Each new type brings more clarity, consistency, and ease of access to the information on the web — something that’s brilliant for search engines, and great for your traffic.

What does that mean in practice?

Sometimes when I'm explaining structured data to clients, I describe it as a means of essentially turning your beautiful website into a spreadsheet for robots. They can prioritize and process the critical information about the content of the page without having to understand the layout of your particular Wordpress theme, reams of CSS, or navigate your Joomla configuration.

This means that information a bot has on a page can be more consistent and resilient, even if the content changes day-to-day. So, in the example of a retailer with seasonal specials and campaigns that change the front end home page layout, structured data tells Google the same information about the page in the same way every time:

Why should SMEs prioritize structured data implementation?

Simply put, structured data gives you the chance to jump the queue on the SERP.

When we look at the ways in which Google has enhanced its SERPs over the last few years, what we see consistently is the use of JSON-LD structured data in combination with Google APIs to create new features and new channels for content. Rich snippet SERP features like Google for Jobs, Google Shopping, featured snippets, how-to instructions, recipe cards, knowledge panels, and other monumental changes to the SERP have all been driven or improved by the creation and utilization of structured data frameworks.

Users love these features because they’re multi-media search enhancements, and are impossible to miss as they often take up the entire viewport on mobile:

Not a plain blue link in sight.

In many cases, your content cannot be included in these attractive rich snippets without structured data. So, if you literally want to get ahead of the competition, structured data needs to be a component in your SEO strategy.

What are the other advantages of structured data for small businesses?

Along with increased visibility, structured data implementation offers the following advantages for small businesses:

How do you identify which structured data is best for SEO strategy?

With almost 800 types of schema markup available to add to a website, it can be difficult to decide which are the best for your page, but to start, you can introduce or improve some new elements to help you better perform online and complement your existing content or e-commerce SEO strategy.

Does your site pass the schema markup need-to-have checklist?

There are certain sets of schema markup that apply to almost every site, and others — like Product and Job Postings — that are niche critical to effective SEO. As a general rule of thumb, every time I get a new client, I run through the following initial checks:

If you answered “no” to any of these questions and the site doesn’t have the appropriate markup, then you should add schema markup to your site.

If the answer to these questions is “yes”, then it’s important to test the quality of the implementation before moving on to the next step. To do this, take a look at Search Console’s Rich Results Report to review pages at scale, or use their Structured Data Testing Tool and Rich Results Test to inspect individual pages. If you see errors, they should be addressed.

How to Find Address Schema Errors

First, take a look at Search Console’s Rich Results Report to review pages at scale and identify which content is being read as Valid, Valid with Errors or Error.

Valid: If your markup is ‘Valid’, then it is being crawled and indexed correctly. These pages are unlikely to require further action.

Errors: Pages with markup that is identified with an ‘Error’ tend to have incorrect syntax, so you should review the individual page and correct the code as soon as possible. When the changes are complete, use the Validate Fix button, to request reassessment.

Valid with Warning: If your content is showing as ‘Valid a Warning’, then you are likely displaying schema markup with a Missing field. These warnings do not make the page or the markup invalid, but they can make the page less competitive, because the content is less targeted. Review your content to ensure that your schema is reflecting as much of the on page content as possible in order to reduce these errors, and therefore increase the performance of your schema markup.

Structured Data Testing Tool and Rich Results Test allow you to troubleshoot improvements to structured data on individual pages. Each of these tools you can enter the URL in question and you will receive itemised information on any errors or warnings.

The missing fields highlighted here correspond to properties within the Event schema type. So, to improve this markup, you would look up the definitions of the relevant properties on schema.org and, where applicable, use their example HTML to guide your optimizations.

In this instance, to improve the performance of my schema, I may need to build new performer fields into the CMS, or to work with the dev team to add the content from existing CMS data fields into the schema regex.

In either case you will be making improvements that help you better target and serve users.

Strategies for adding schema to your site

If you need to add schema to your site there are a few options for implementation.

For some single pages with largely static content, adding markup types like Local Business, Organization, or a single FAQ page, can be a straightforward process of generating the code and placing it into the HTML of the page. Major CMS platforms like Shopify and Wordpress have plugins to assist with generating the markup for these pages which is easy to implement. Those with custom CMS configurations can use tools like the Schema Markup Generator to generate the JSON-LD, then pass it onto the development team to push it live.

Bulk schema implementation is almost essential for high volume content creators. This applies to e-commerce shops, but also to those who regularly post standard format content like recipes, blogs, articles, job vacancies, events, training courses, etc.

For these pages, the most effective way to get the most out of the schema on your site is to automate the process by building it into the structure of your site. In most instances, this involves a four phase approach, working in coordination with your developers and clients.

Examples of Schema Types with Dedicated Google APIs

How to measure and demonstrate the impact of schema markup

Measuring Schema Enable Rich Results in Search Console

The impact of schema markup which generates rich results, can be easily monitored and measured in Search Console. Within the Enhancements tab, you can monitor the quality of your implementation and any current or recent errors.

To monitor impressions, rankings, clicks and CTR, visit the Search Appearance tab under Performance. This tab provides historic data that can be compared to earlier configurations of the site.

Within Google Analytics, your tracking and monitoring will depend upon your implementation. For instance, google-jobs-apply clicks may show as a separate source from standard search results within Organic. But I’ve also seen Google Shopping clicks show as part of the (other) channel. In either case, annotate your implementation dates to monitor relevant content for changes in clicks, impressions, and conversions.

For many small businesses, Search Console data should be sufficient but there are also tools which can help you drill down further into the data.

In summary

Taking a strategic, integrated approach to structured data implementation helps SMEs to stay competitive in today’s search environment because of its scalability, versatility and measurability. Furthermore, the applicability of schema markup as the underpinning of a cohesive content and advertising strategy, brings much needed efficiencies for SME marketers who want to make the most out of their content.

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