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7 Ad Copy Tests To Boost PPC Performance [With Examples]

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It’s safe to say that online advertising is a must for any business.

We’re living in a digital age and, if you’re going to stand any chance of selling your products or services, you’re going to need to make sure your ads are landing right in front of your target demographic.

But simply paying for ads in the right places isn’t going to cut it. Forbes has found that the average American is exposed to between 4,000 and 10,000 ads every day.

When you take these statistics into account, it’s not surprising that 27% of Americans are using ad blockers.

Those who don’t block ads have their own mental filters that help them to decide what they want to look at and what they’re going to ignore.

No matter what products or services you’re selling, one thing is growing increasingly clear: You’re going to need some pretty engaging copy to help yours stand out from this ever-growing crowd.

Of course, what’s engaging and what isn’t is a pretty subjective matter. You’re going to want to know what actually works and what doesn’t. This is where ad copy tests can come to the rescue.

To help you create the best ads possible and improve your PPC performance, here are some ground rules, tips, and tricks for your upcoming ad copy tests.

Don’t Test For Testing’s Sake

As a starting point, it is essential to have a hypothesis of what you think will enhance your conversion rate and why – at all times.

Here’s the testing methodology my company follows:

Screenshot by author, April 2022Adwords Testing Methodology

Aim For Producing Clear Results

Always have ample data when you’re running tests!

Statistical significance should be your goal (in addition to that increased performance).

According to Google, your test should run until it meets one of two conditions:

  1. At least one variant has a 95% probability to beat baseline (this free A/B calculator should help).
  2. Two weeks have passed, to account for cyclical variations in web traffic during the week.

This leads us to the last testing ground rule.

Set A Testing Timeframe

Remember that tests shouldn’t be left running forever. Define a specific time frame to gain valuable data and stick to it.

Not every test will result in significance one way or the other and that’s ok. Chalk that test up as inconclusive and move on.

Now, with those ground rules out of the way, onto the tests!

1. Numerical Abbreviations Vs. Full Numerical Values

It’s no secret that ads with numbers help quantify information, whether it’s your inventory, a discount, or the price of your products.

Using numbers makes your ads more attention-grabbing and helps them cut through all the noise that other PPC ads are creating (more about that here).

Numbers also show that you’re a brand worth taking seriously – after all, you have data to back up your claims, right?

So basically, numbers are good.

The question then becomes:

  • What do you think your targets will respond to?
  • Would it be numerical abbreviations, for example, 15M, or full numerical values, for example, 15,000,000?

When creating an ad copy, it turns out that manipulation of numerical values is a great method of grabbing attention and differentiating ads.

2. Add, Modify, And Remove Pricing

Prices can be a double-edged sword when it comes to PPC ads.

In fact, a recent analysis of top-performing ads shows just 40% of top-performing branded ads and 37% of non-branded ads included numbers.

What?

On one hand, being upfront with your pricing gives users the information they need to know and can subsequently help them make a faster purchase decision.

On the other hand, the price can turn people off by reminding them that they need to spend money. This is especially true if your product and/or service isn’t the cheapest that’s showing up in the search engine results.

So how do you know which approach works? Testing.

We worked with a homebuilder client to test variations of price inclusion. After setting up a few tests, it became clear that by generalizing the number, we could increase CTRs across these communities.

Number TestingScreenshot by author, August 2017Number Testing

You can also frame your price as a discount to make it more attractive to readers. And speaking of discounts…

3. Experiment When Quantifying Promotions

In PPC marketing, it’s a common practice to quantify promotions with numbers, usually in the form of discounts, conditional pricing, and other special offers.

For example, instead of writing you have “cheap car accessories on sale,” you can write something more compelling, like “50% off on car accessories.”

But you can maximize your CTRs even further by changing the language you use in your promotions, as well as testing ads that feature percentages, actual pricing, and fully written offers.

Better yet, try testing your ‘discount’ with the top numbers that drive engagement:

7 Ad Copy Tests To Boost PPC Performance [With Examples]Screenshot from Buzzsumo, August 20217 Ad Copy Tests To Boost PPC Performance [With Examples]

4. Punctuation?!.

One of the easiest places to start with testing is around punctuation, and yet, few focus on tests this “simple.”

An analysis of 612 top-performing branded paid ads revealed that 48% of ads used exclamation points while just 11% used a dollar sign and even fewer used a question mark.

Punctuation in best branded adsScreenshot from WordStream, December 2021Punctuation in best branded ads

According to that same survey, the following punctuations were most common in non-brand paid ads:

  • Exclamation: 42%
  • Commas: 25%
  • Question Mark: 11%
  • Percentile: 9%
  • Dollar Sign: 8%

Based on our own testing, the use of an exclamation point makes sense:

Exclamation TestingScreenshot by author, April 2022Exclamation Testing

That said, the opportunity to test the use of punctuation (question marks, percentages, etc.) are worth exploring and align well with the use of emotion to drive incremental performance.

5. Appeal To Emotion

Most ads are extremely similar. They’re boring. They’re all the same. See?

Big Data SolutionsScreenshot from search for [big data solutions], Google, August 2017Big Data Solutions

Ads that appeal to people on a more emotional level can result in big gains in click-through rate.

Determine what your customer’s emotions are.

  • What do they love/hate?
  • What’s the biggest problem they face?
  • How are you going to solve it?

Worst case, take a hint from headline categories that drive engagement on Twitter and Facebook.

7 Ad Copy Tests To Boost PPC Performance [With Examples]

7 Ad Copy Tests To Boost PPC Performance [With Examples]

While traditionally reserved for content ideation, using a headline analyzer like this one or this one can also help with the application of emotional headlines for ad copy.

6. Test Your CTA

Let’s face it, different people have different reactions to ads.

A key ingredient in shaping people’s reactions to your ads is presentation – basically, the way you ask them to trust your brand or try your product or service.

This is where language comes in, and it’s especially important when writing your CTAs.

As trivial as it may sound, the first word of your CTA has the potential to create a positive or negative impression of the ad itself.

The first word in your CTA could be the defining factor, so you need to test different first words (all of which should be verbs) in your CTA, and use the high converting copy.

For example, beginning with “Call us now,” instead of “Contact us today,” could lead to a noticeable difference in CTRs.

Likewise, “Shop now,” instead of “Order now” could lead to different levels of audience reaction.

Here’s a mashup of potential calls to action variations for you to test:

  • Get
  • Shop
  • Buy
  • Build
  • Discover
  • Book
  • Order
  • Purchase
  • Get Started
  • Call
  • Request
  • Reserve
  • Make Reservation
  • Join
  • Try
  • Take
  • Download
  • Sign up
  • Learn
  • Subscribe
  • See
  • Find Out
  • Estimate
  • Start

7. Play Around With Your Landing Pages

Naturally, landing pages are a great marketing tool, because they give your target market a chance to decide whether they should interact further with the business.

As a result, testing your landing pages is a fundamental part of doing business online.

Within Google Ads, there are a couple of landing page tests that you can easily do without making any changes to your website:

  • Link directly to the most popular product in a category you’re advertising.
  • Link directly to the category page.
  • Try out different sorting methods on your category pages:
    • Best selling first.
    • Cheapest first.
    • Newest first.
    • Best reviewed first.
    • Promotions first.
    • Manual placement.
  • Link to a search made for a particular brand, product or type of product.
  • Link to your homepage (yes, it might work for you).

Pro Tip: Google Optimize is a godsend for this type of A/B and multi-variant testing (for both paid media and SEO).

When it comes to campaign optimization, you need to constantly be split testing like this and then analyzing your results. Otherwise, you’re doing your company – and your campaign – a huge disservice.

What’s Next?

Anyone in marketing knows that well-placed ads don’t come cheap.

Thorough ad copy testing can give you confidence in your ads and boost your chances of making a return on those that you do decide to run.

Following the steps above can help you to test your ad copy as best as possible before investing money in their placement. But what’s next?

Whether you experience success or find that you need to make further changes or improvements, ad testing should stay at the forefront of your list of priorities.

It’s important that you track your ads’ performance and analyze the data you collect.

This will help you to alter and edit ads as needed and make even more informed decisions going forward, maximizing success and profit.

Remember A.B.T: Always. Be. Testing.

More Resources:


Featured Image: Minimallista/Shutterstock

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What Is Schema Markup & Why Is It Important For SEO?

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What Is Schema Markup & Why Is It Important For SEO?

Schema.org is a collection of vocabulary (or schemas) used to apply structured data markup to web pages and content. Correctly applying schema can improve SEO outcomes through rich snippets.

Structured data markup is translated by platforms such as Google and Microsoft to provide enhanced rich results (or rich snippets) in search engine results pages or emails. For example, you can markup your ecommerce product pages with variants schema to help Google understand product variations.

Schema.org is an independent project that has helped establish structured data consistency across the internet. It began collaborating with search engines such as Google, Yahoo, Bing, and Yandex back in 2011.

The Schema vocabulary can be applied to pages through encodings such as RDFa, Microdata, and JSON-LD. JSON-LD schema is preferred by Google as it is the easiest to apply and maintain.

Schema is not a ranking factor.

However, your webpage becomes eligible for rich snippets in SERPs only when you use schema markup. This can enhance your search visibility and increase CTR on your webpage from search results.

Schema can also be used to build a knowledge graph of entities and topics. Using semantic markup in this way aligns your website with how AI algorithms categorize entities, assisting search engines in understanding your website and content.

This means that search engines should have additional information to help them figure out what the webpage is about.

You can even link your entities directly to sites like Wikipedia or Google’s knowledge graph to build explicit connections. Using Schema this way can have positive SEO results, according to Martha van Berkel, CEO of Schema App:

By helping search engines understand content, you are assisting them in saving resources (especially important when you have a large website with millions of pages) and increasing the chances for your content to be interpreted properly and ranked well. While this may not be a ranking factor directly, Schema helps your SEO efforts by giving search engines the best chance of interpreting your content correctly, giving users the best chance of discovering it.

Listed above are some of the most popular uses of schema, which are supported by Google and other search engines.

You may have an object type that has a schema.org definition but is not supported by search engines.

In such cases, it is advised to implement them, as search engines may start supporting them in the future, and you may benefit from them as you already have that implementation.

Google recommends JSON-LD as the preferred format for structured data. Microdata is still supported, but JSON-LD schema is recommended.

In certain circumstances, it isn’t possible to implement JSON-LD schema due to website technical infrastructure limitations such as old content management systems). In these cases, the only option is to markup HTML via Microdata or RDFa.

You can now mix JSON-LD and Microdata formats by matching the @id attribute of JSON-LD schema with the itemid attribute of Microdata schema. This approach helps reduce the HTML size of your pages.

For example, in a FAQ section with extensive text, you can use Microdata for the content and JSON-LD for the structured data without duplicating the text, thus avoiding an increase in page size. We will dive deeper into this below in the article when discussing each type in detail.

JSON-LD encodes data using JSON, making it easy to integrate structured data into web pages. JSON-LD allows connecting different schema types using a graph with @ids, improving data integration and reducing redundancy.

Let’s look at an example. Let’s say that you own a store that sells high-quality routers. If you were to look at the source code of your homepage, you would likely see something like this:

Once you dive into the code, you’ll want to find the portion of your webpage that discusses what your business offers. In this example, that data can be found between the two

tags.

The following JSON-LD formatted text will markup the information within that HTML fragment on your webpage, which you may want to include in your webpage’s

section.



This snippet of code defines your business as a store via the attribute"@type": "Store".

Then, it details its location, contact information, hours of operation from Monday to Saturday, and different operational hours for Sunday.

By structuring your webpage data this way, you provide critical information directly to search engines, which can improve how they index and display your site in search results. Just like adding tags in the initial HTML, inserting this JSON-LD script tells search engines specific aspects of your business.

Let’s review another example of WebPage schema connected with Organization and Author schemas via @id. JSON-LD is the format Google recommends and other search engines because it’s extremely flexible, and this is a great example.



In the example:

  • Website links to the organization as the publisher with @id.
  • The organization is described with detailed properties.
  • WebPage links to the WebSite with isPartOf.
  • NewsArticle links to the WebPage with isPartOf, and back to the WebPage with mainEntityOfPage, and includes the author property via @id.

You can see how graph nodes are linked to each other using the"@id"attribute. This way, we inform Google that it is a webpage published by the publisher described in the schema.

The use of hashes (#) for IDs is optional. You should only ensure that different schema types don’t have the same ID by accident. Adding custom hashes (#) can be helpful, as it provides an extra layer of insurance that they will not be repeated.

You may wonder why we use"@id"to connect graph nodes. Can’t we just drop organization, author, and webpage schemas separately on the same page, and it is intuitive that those are connected?

The issue is that Google and other search engines cannot reliably interpret these connections unless explicitly linked using @id.

Adding to the graph additional schema types is as easy as constructing Lego bricks. Say we want to add an image to the schema:

{
   "@type": "ImageObject",
   "@id": "https://www.example.com/#post-image",
   "url": "https://www.example.com/example.png",
   "contentUrl": "https://www.example.com/example.png",
   "width": 2160,
   "height": 1215,
   "thumbnail": [
     {
        "@type": "ImageObject",
        "url": "https://example.com/4x3/photo.jpg",
        "width": 1620,
        "height": 1215
      },
      {
        "@type": "ImageObject",
        "url": "https://example.com/16x9/photo.jpg",
        "width": 1440,
        "height": 810
      },
      {
        "@type": "ImageObject",
        "url": "https://example.com/1x1/photo.jpg",
        "width": 1000,
        "height": 1000
      }
    ]
}

As you already know from the NewsArticle schema, you need to add it to the above schema graph as a parent node and link via @id.

As you do that, it will have this structure:



Quite easy, isn’t it? Now that you understand the main principle, you can build your own schema based on the content you have on your website.

And since we live in the age of AI, you may also want to use ChatGPT or other chatbots to help you build any schema you want.

2. Microdata Schema Format

Microdata is a set of tags that aims to make annotating HTML elements with machine-readable tags much easier.

However, the one downside to using Microdata is that you have to mark every individual item within the body of your webpage. As you can imagine, this can quickly get messy.

Take a look at this sample HTML code, which corresponds to the above JSON schema with NewsArticle:

Our Company

Example Company, also known as Example Co., is a leading innovator in the tech industry.

Founded in 2000, we have grown to a team of 200 dedicated employees.

Our slogan is: "Innovation at its best".

Contact us at +1-800-555-1212 for customer service.

Our Founder

Our founder, Jane Smith, is a pioneer in the tech industry.

Connect with Jane on Twitter and LinkedIn.

About Us

This is the About Us page for Example Company.

Example News Headline

This is an example news article.

This is the full content of the example news article. It provides detailed information about the news event or topic covered in the article.

Author: John Doe. Connect with John on Twitter and LinkedIn.

If we convert the above JSON-LD schema into Microdata format, it will look like this:

Our Company

Example Company, also known as Example Co., is a leading innovator in the tech industry.

Founded in 2000-01-01, we have grown to a team of 200 dedicated employees.

Our slogan is: Innovation at its best.

Contact us at +1-800-555-1212 for Customer Service.

Example Company Logo

Connect with us on: Facebook, Twitter, LinkedIn

Our Founder

Our founder, Jane Smith, is a pioneer in the tech industry.

Connect with Jane on Twitter and LinkedIn.

About Us

This is the About Us page for Example Company.

Example News Headline

This is an example news article.

This is the full content of the example news article. It provides detailed information about the news event or topic covered in the article.

Author:

Example image

This example shows how complicated it becomes compared to JSON-LD since the markup is spread over HTML. Let’s understand what is in the markup.

You can see

tags like:


By adding this tag, we’re stating that the HTML code contained between the

blocks identifies a specific item.

Next, we have to identify what that item is by using the ‘itemtype’ attribute to identify the type of item (Person).


An item type comes in the form of a URL (such as https://schema.org/Person). Let’s say, for example, you have a product you may use http://schema.org/Product.

To make things easier, you can browse a list of item types here and view extensions to identify the specific entity you’re looking for. Keep in mind that this list is not all-encompassing but only includes ones that are supported by Google, so there is a possibility that you won’t find the item type for your specific niche.

It may look complicated, but Schema.org provides examples of how to use the different item types so you can see what the code is supposed to do.

Don’t worry; you won’t be left out in the cold trying to figure this out on your own!

If you’re still feeling a little intimidated by the code, Google’s Structured Data Markup Helper makes it super easy to tag your webpages.

To use this amazing tool, just select your item type, paste in the URL of the target page or the content you want to target, and then highlight the different elements so that you can tag them.

3. RDFa Schema Format

RDFa is an acronym for Resource Description Framework in Attributes. Essentially, RDFa is an extension to HTML5 designed to aid users in marking up structured data.

RDFa isn’t much different from Microdata. RDFa tags incorporate the preexisting HTML code in the body of your webpage. For familiarity, we’ll look at the same code above.

The HTML for the same JSON-LD news article will look like:

vocab="https://schema.org/" typeof="WebSite" resource="https://www.example.com/#website">

Our Company

Example Company, also known as Example Co., is a leading innovator in the tech industry.

Founded in 2000-01-01, we have grown to a team of 200 dedicated employees.

Our slogan is: Innovation at its best.

Contact us at +1-800-555-1212 for Customer Service.

https://www.example.com Example Company Logo

Connect with us on: Facebook, Twitter, LinkedIn

Our Founder

Our founder, Jane Smith, is a pioneer in the tech industry.

Connect with Jane on Twitter and LinkedIn.

About Us

This is the About Us page for Example Company.

https://www.example.com/about

Example News Headline

This is an example news article.

This is the full content of the example news article. It provides detailed information about the news event or topic covered in the article.

Author: John Doe Profile Twitter LinkedIn

Example image

Unlike Microdata, which uses a URL to identify types, RDFa uses one or more words to classify types.

vocab=”http://schema.org/” typeof=”WebPage”>

If you wish to identify a property further, use the ‘typeof’ attribute.

Let’s compare JSON-LD, Microdata, and RDFa side by side. The @type attribute of JSON-LD is equivalent to the itemtype attribute of Microdata format and the typeof attribute in RDFa. Furthermore, the propertyName of JSON-LD attribute would be the equivalent of the itemprop and property attributes.

Attribute Name JSON-LD Microdata RDFa
Type @type itemtype typeof
ID @id itemid resource
Property propertyName itemprop property
Name name itemprop=”name” property=”name”
Description description itemprop=”description” property=”description”

For further explanation, you can visit Schema.org to check lists and view examples. You can find which kinds of elements are defined as properties and which are defined as types.

To help, every page on Schema.org provides examples of how to apply tags properly. Of course, you can also fall back on Google’s Structured Data Testing Tool.

4. Mixing Different Formats Of Structured Data With JSON-LD

If you use JSON-LD schema but certain parts of pages aren’t compatible with it, you can mix schema formats by linking them via @id.

For example, if you have live blogging on the website and a JSON-LD schema, including all live blogging items in the JSON schema would mean having the same content twice on the page, which may increase HTML size and affect First Contentful Paint and Largest Contentful Paint page speed metrics.

You can solve this either by generating JSON-LD dynamically with JavaScript when the page loads or by marking up HTML tags of live blogging via the Microdata format, then linking to your JSON-LD schema in the head section via “@id“.

Here is an example of how to do it.

Say we have this HTML with Microdata markup with itemid="https://www.example.com/live-blog-page/#live-blog"

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We can link to it from the sample JSON-LD example we had like this:



If you copy and paste HTML and JSON examples underneath in the schema validator tool, you will see that they are validating properly.

The schema validator does validate the above example.The schema validator does validate the above example.

The SEO Impact Of Structured Data

This article explored the different schema encoding types and all the nuances regarding structured data implementation.

Schema is much easier to apply than it seems, and it’s a best practice you must incorporate into your webpages. While you won’t receive a direct boost in your SEO rankings for implementing Schema, it can:

  • Make your pages eligible to appear in rich results.
  • Ensure your pages get seen by the right users more often.
  • Avoid confusion and ambiguity.

The work may seem tedious. However, given time and effort, properly implementing Schema markup is good for your website and can lead to better user journeys through the accuracy of information you’re supplying to search engines.


Image Credits

Featured Image: Paulo Bobita
Screenshot taken by author

 

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Chuck Price

Founder at Measurable SEO

Looking for a Content Marketing Solution to Increase Traffic and Revenue? I’m the founder of Measurable SEO and former COO ...

Advanced Technical SEO: A Complete Guide



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Gen Z Ditches Google, Turns To Reddit For Product Searches

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In this photo illustration, the Reddit logo is displayed on a smartphone screen.

A new report from Reddit, in collaboration with GWI and AmbassCo, sheds light on the evolving search behaviors of Generation Z consumers.

The study surveyed over 3,000 internet users across the UK, US, and Germany, highlighting significant changes in how young people discover and research products online.

Here’s an overview of key findings and the implications for marketers.

Decline In Traditional Search

The study found that Gen Z uses search engines to find new brands and products less often.

That’s because they shop online differently. They’re less interested in looking for expert reviews or spending much time searching for products.

There are also frustrations with mobile-friendliness and complex interfaces on traditional search platforms.

Because of this, traditional SEO strategies might not work well for reaching younger customers.

Takeaway

Companies trying to reach Gen Z might need to try new methods instead of just focusing on being visible on Google and other search engines.

Rise Of Social Media Discovery

Screenshot from Reddit study titled: “From search to research: How search marketers can keep up with Gen Z.”, June 2024.

Gen Z is increasingly using social media to find new brands and products.

The study shows that Gen Z has used social media for product discovery 36% more frequently since 2018.

This change is affecting how young people shop online. Instead of searching for products, they expect brands to appear in their social media feeds.

1719123963 547 Gen Z Ditches Google Turns To Reddit For Product SearchesScreenshot from Reddit study titled: “From search to research: How search marketers can keep up with Gen Z.”, June 2024.

Because of this, companies trying to reach young customers need to pay more attention to how they present themselves on social media.

Takeaway

To succeed at marketing to Gen Z, businesses will likely need to focus on two main things:

  1. Ensure that your content appears more often in social media feeds.
  2. Create posts people want to share and interact with.

Trust Issues With Influencer Marketing

Even though more people are finding products through social media, the report shows that Gen Z is less likely to trust what social media influencers recommend.

These young shoppers often don’t believe in posts that influencers are paid to make or products they promote.

Instead, they prefer to get information from sources that feel more real and are driven by regular people in online communities.

Takeaway

Because of this lack of trust, companies must focus on being genuine and building trust when they try to get their websites to appear in search results or create ads.

Some good ways to connect with these young consumers might be to use content created by regular users, encourage honest product reviews, and create authentic conversations within online communities.

Challenges With Current Search Experiences

The research shows that many people are unhappy with how search engines work right now.

More than 60% of those surveyed want search results to be more trustworthy. Almost half of users don’t like looking through many search result pages.

Gen Z is particularly bothered by inaccurate information and unreliable reviews.

1719123963 785 Gen Z Ditches Google Turns To Reddit For Product SearchesScreenshot from Reddit study titled: “From search to research: How search marketers can keep up with Gen Z.”, June 2024.

Takeaway

Given the frustration with search quality, marketers should prioritize creating accurate, trustworthy content.

This can help build brand credibility, leading to more direct visits.

Reddit: A Trusted Alternative

The report suggests that Gen Z trusts Reddit when looking up products—it’s their third most trusted source, after friends and family and review websites.

1719123963 403 Gen Z Ditches Google Turns To Reddit For Product SearchesScreenshot from Reddit study titled: “From search to research: How search marketers can keep up with Gen Z.”, June 2024.

Young users like Reddit because it’s community-based and provides specific answers to users’ questions, making it feel more real.

It’s worth noting that this report comes from Reddit itself, which probably influenced why it’s suggesting its own platform.

Takeaway

Companies should focus more on being part of smaller, specific online groups frequented by Gen Z.

That could include Reddit or any other forum.

Why SEJ Cares

As young people change how they look for information online, this study gives businesses important clues about connecting with future customers.

Here’s what to remember:

  • Traditional search engine use is declining among Gen Z.
  • Social media is increasingly vital for product discovery.
  • There’s growing skepticism towards influencer marketing.
  • Current search experiences often fail to meet user expectations.
  • Community-based platforms like Reddit are gaining trust.

Featured Image: rafapress/Shutterstock

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Google Clarifies Organization Merchant Returns Structured Data

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Google updates organization structured data for merchant returns

Google quietly updated their organization structured data documentation in order to clarify two points about merchant returns in response to feedback about an ambiguity in the previous version.

Organization Structured Data and Merchant Returns

Google recently expanded their Organization structured data so that it could now accommodate a merchant return policy. The change added support for adding a sitewide merchant return policy.

The original reason for adding this support:

“Adding support for Organization-level return policies

What: Added documentation on how to specify a general return policy for an Organization as a whole.

Why: This makes it easier to define and maintain general return policies for an entire site.”

However that change left unanswered about what will happen if a site has a sitewide return policy but also has a different policy for individual products.

The clarification applies for the specific scenario of when a site uses both a sitewide return policy in their structured data and another one for specific products.

What Takes Precedence?

What happens if a merchant uses both a sitewide and product return structured data? Google’s new documentation states that Google will ignore the sitewide product return policy in favor of a more granular product-level policy in the structured data.

The clarification states:

“If you choose to provide both organization-level and product-level return policy markup, Google defaults to the product-level return policy markup.”

Change Reflected Elsewhere

Google also updated the documentation to reflect the scenario of the use of two levels of merchant return policies in another section that discusses whether structured data or merchant feed data takes precedence. There is no change to the policy, merchant center data still takes precedence.

This is the old documentation:

“If you choose to use both markup and settings in Merchant Center, Google will only use the information provided in Merchant Center for any products submitted in your Merchant Center product feeds, including automated feeds.”

This is the same section but updated with additional wording:

“If you choose to use both markup (whether at the organization-level or product-level, or both) and settings in Merchant Center, Google will only use the information provided in Merchant Center for any products submitted in your Merchant Center product feeds, including automated feeds.”

Read the newly updated Organization structured data documentation:

Organization (Organization) structured data – MerchantReturnPolicy

Featured Image by Shutterstock/sutlafk

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