Rich results (often referred to as Rich Snippets) present a big opportunity to improve CTR. When it comes to rich results in eCommerce SEO, there are probably a few different types that spring to mind if you’re familiar with that space.
Typical rich result types for eCommerce sites (detailed in Google’s documentation) stem from Product Structured Data, including details such as product pricing, availability, and review ratings.
Many SEO professionals are however unaware that there are an additional 8 rich snippet types for eCommerce pages, which don’t necessarily require the use of Product Structured Data or any Structured Data for that matter.
Within my guide, I’ll be detailing each of the 8 rich result types that I’ve discovered, the primary inputs used for generation, along with other important details that are good to keep in mind with each.
Anatomy of a Standard eCommerce Rich Result
When it comes to eCommerce rich results, there are several components to a web page snippet that are important to be aware of.
In particular, a familiar rich snippet in the eComm space for many SEO professionals will be seeing a star rating, the number of reviews that the rating was calculated from, the price (or a range), along with whether it’s currently in stock.
Here’s an example of what this tends to look like for websites that use Product Structured Data and are using all of the valid fields mentioned:
The above example shows four different components that can make up an eComm rich result. My guide will go a step further by naming an additional 8 sections, along with how each is triggered.
The additional set of rich results includes: Price Drop, Approx. Price Range, Delivery Price, Return Policy, Pros & Cons, Seller Ratings, Coupon Codes, and Loyalty Programs. Each function in its own unique way. Here’s my explanation of each.
Fundamental Differences
With the previous set of rich results that can appear for eComm sites, this data has historically been provided to Google via Structured Data.
The new set of rich results, which I’ll be covering in detail within the sections to come, primarily use product feeds submitted through Merchant Center, and in one specific case, the HTML extracted from the page.
With that said, as with many areas of how SEO is progressing, there aren’t always clear-cut answers. For instance, just because most results seem to use product feeds, that doesn’t mean Structured Data can’t also be of influence.
It’s also important to note that the majority of the new rich results that I’m about to discuss are currently only active in US search results. So if you want to preview them and you’re outside of the US, you’ll need to use a VPN.
Now that we’ve got some of the fundamental differences between the previous set of eComm rich results and the new types, let’s get into each of the 8 little-known rich result types that I’ve discovered.
New Rich Result Types
1. Price Drop Rich Results
Primary method: Structured Data
Google’s Price Drop Rich Result has been active in search results in the US for the longest out of the 8 types I’ll be covering. I’ve written about Price Drop in more detail in the past, which I would recommend reading up on.
Price Drop is identifiable through the word “typically” being included in the snippet within brackets. This is to show what the price of the product has been historically (another word for the “normal” price).
As Google’s documentation states, Offer needs to be used within the Structured Data for eligibility, not AggregateOffer (how price ranges are determined).
Once your page is eligible to show with Price Drop, it’s now with Google to decide whether the page has the Price Drop Search Appearance through monitoring the price of the product over time.
Note: it is my experience that Price Drop shows quite rarely for product pages. It’s not something you can force your page to have, Google will show it for the page when the time is right when there has been a noteworthy drop in pricing.
2. Automatic Price Range Rich Results
Primary method: HTML
Google’s automatic price ranges are one that can easily be confused as price ranges that are enabled through Structured Data. But on inspection of the page shown below, you’ll find no relevant markup related to pricing.
Google’s Automatic Price Range Rich Result now looks identical to if you were to mark up a price range on a page with Product Structured Data. The difference is that the price range is usually accompanied by other attributes, such as ‘in stock’ or the review count.
In my experience, most of the pages that have the Automatic Price Range treatment are for “top product” type lists for specific years. These pages often include products presented in a table, alongside the price of each product.
This rich result type is again one that site owners have little control over. Specifically developed for non-product pages (that use Structured Data for price ranges), this rich result isn’t currently detailed in Google’s documentation and will only appear if Google deems the treatment to be relevant.
3. Delivery Price Rich Results
Primary method: Merchant Center product feeds
Google’s Delivery Price Rich Result is a new entry into my list of rich result types. They’re also a rich result type that I have already started to cause issues with site owners since launch.
If you’re noticing the word “delivery” with a figure assigned to it within the snippet, and that data isn’t located within the Product Structured Data, then you’re likely dealing with the new Delivery Price Rich Result.
The data that populates the delivery component of the snippet is based on Merchant Center product feeds in most cases. And interestingly, this data has a lot of flexibility to change based on searcher location.
For instance, the pricing can be less if located within close proximity, or more if located further away. And even showing in a different currency (as shown above) if Google can see that the searcher is based in a different country.
If you’re having issues with this specific rich result, like I have more recently with a client of mine, or similar to what Mike King of iPullRank has experienced, then you’ll need to look to the data being fed to Merchant Center. But again, this is a completely brand-new launch by Google, so issues are expected.
4. Returns Policy Rich Results
Primary method: Merchant Center product feeds
Google’s Returns Policy Rich Results are one that is currently in a heavy testing phase, but has the capacity to show quite broadly for various eComm pages.
It’s my experience that Returns Policy Rich Results show primarily for category pages on sites. And in many cases, it can be the only rich result that appears alongside a result in Google’s SERPs.
The data source for Return Policies is again within product feeds that are submitted in Merchant Center. The above page only uses Breadcrumb Schema (which isn’t related to this situation) and the HTML doesn’t specify the returns policy.
This rich result type is one that can only be controlled via the information that is submitted within your product feeds. If your page is showing incorrect returns policy information, this is a more deep-rooted issue that will need to be addressed at the source by tweaking your feed settings.
5. Pros & Cons Rich Results
Primary method: Structured Data & Algorithmically
When it comes to Pros & Cons Rich Results, this rich result type has historically been one that solely functioned algorithmically by Google. Pros and cons detailed on a page would be picked up in the HTML, then placed within the snippet.
It was only recently that Google announced that pros and cons data could now be controlled by using Structured vData. This now meant that sites could directly control how this data was presented in SERPs, rather than leaving it to Google to figure out the most relevant parts.
Because Pros & Cons Rich Results (with Structured Data being the input) are still quite new, there are very few examples of the treatment being live in Google’s search results. The best example I could locate is shown above.
The above page has the highlighted information being presented in Google’s SERPs by using specific markup, not through the HTML, which would be the algorithmic method that many sites are currently using.
Pros & Cons Rich Results are a rich result that SEO professionals can have a good amount of control over when developing review content for products. I believe there are still many in the industry that aren’t aware of the ability to have direct control over this rich result.
6. Seller Rating Rich Results
Primary method: ‘Site’ Reviews via Merchant Center
Seller Ratings are a new entrant to this list, with the recent ability to have the rich result type show on both mobile and tablet in the US, with desktop still yet to come.
This rich result type hasn’t been confirmed by Google as launched as of yet, but has been available for all users in the US for some time now. As a twist, the Seller Rating rich result looks similar to a product page that might be using Structured Data for reviews, but is purely based on Site reviews in Merchant Center.
For more details on how to get a Seller Rating showing for your pages, make sure to read through Google’s latest guidelines and eligibility requirements for this feature.
7. Coupon / Discount Rich Results
Primary method: Merchant Center settings
Coupon code rich results launched in the US in January of 2024, with the ability for the rich result type to show on both mobile and desktop with a code that can be copied from Google’s search results.
This is again another rich result that hasn’t been publicly confirmed by Google to be fully launched yet, but is now showing for all users in the US when triggered and relevant to a query and page. Coupon codes also a feature that can display within product grid results, allowing search results to become large and more prominent in Search.
To manage your coupon code rich results, this should be done via Merchant Center within the Marketing > Promotions tab with respect to ‘free listings’ as the surface.
8. Loyalty Program Rich Results
Primary method: Merchant Center settings
Similar to the coupon code rich results that can appear in Search, Google is currently testing out a loyalty program variant that transforms the price tag icon into a heart.
The loyalty program rich result shows details on a store loyalty program if applicable and enabled within Merchant Center. The CTA can be customised within the rich result, where I’ve seen it showing with either a ‘Details’ or ‘Join Now’ as the button text.
To quality for the loyalty programs rich result, this should be managed within Merchant Center in Growth > Manage programs where the feature can be enabled for an account.
Key Takeaways
It is my experience that there are still many SEO professionals that aren’t aware that Google can generate rich results for eCommerce pages through various methods, outside of standard approaches.
My guide has covered 8 rich result types that have gone under the radar for many in recent times, which I will be looking to expand upon as new types become available.
Here are the primary takeaways from my post:
- Standard eComm rich results include aspects such as: review rating, review count, price, and availability.
- New eComm rich results include: Price Drop, Approx. Price Range, Delivery Price, Returns Policy, Pros & Cons, Seller Ratings, Coupon Codes, and Loyalty Programs.
- Fundamental differences among the standard types and the new variations covered in my post are focused around data source, seeing the expansion of more reliance on product feeds and HTML.
- All of the rich results covered in my post are currently active in at least some capacity within US search results. eComm features in Google’s SERPs take longer to expand globally, but I would expect some of the rich results mentioned to be available more broadly soon.
- While I’ve detailed the primary data source for each rich result type, things aren’t generally so clear cut within the SEO space, especially with eCommerce. Various factors can be at play to power the data that’s presented in Google’s SERPs.
If you have any questions related to any of the rich results mentioned above, you can reach me here or on Twitter.
