The overarching theme of the updates is visualization and personalization.
Visualization Shopping Features
Google emphasized that users spend a lot of time researching, exploring, and discovering their options before purchasing. Four visual features for users Google announced:
- Search with the word “shop”. By starting your search with “shop” followed by what you’re searching for, you’ll now see a visual feed that includes products, research tools, and nearby inventory. This update also expands the shopping experience beyond apparel. It’s now available in all categories on mobile.
- Shop the look. For the apparel category, users will now be able to “shop the look” which showcases individual products to help create an entire outfit. Google’s tool will show complimentary products to the main product a user is searching for, such as handbags or shoes to go along with a top or jacket.
- Trending products feature. This is a new feature in Search which will show popular products in the category users are searching for. Google confirmed this will be available later this Fall.
- 3D shopping. Expanding on the earlier launch of 3D shopping for home goods, 3D visuals of sneakers are coming in the following months.
Further, Google announced a way to build and create 3D visuals because they understand creating this type of asset takes a lot of time and resources. Their tool will use machine learning to automate 360-degree spins using a few still images.
Encouraging Confident Purchasing
The next set of tools announced from Google are geared to help users make more informed decisions when purchasing.
- Guides for complex purchases. Google announced a buying guide for complex purchase decisions. The buying guide will consist of insights about that category from a range of trusted sources.
- See what others are saying. Specifically, in the Google app, Page Insights will be available. This feature bridges content on a website users are on or a product being researched, along with ratings, pros and cons, in one single view.
A More Personalized Shopping Experience
The last set of updates focuses on the individual shopping experience, including privacy preference enhancements.
- More personalized results. Users will start getting personalized shopping results based on their previous shopping habits. To protect user privacy with this enhancement, users will have the ability to tell Google their preferences directly, as well as easy-to-use controls to toggle the feature on or off.
- Shop with dynamic filters. Search filters will now adapt to real-time Search trends, meaning the filters are not static.
- Using Discover app for more inspiration. Users who have the Google app will start seeing style suggestions in the Discover tab based on their shopping behavior.If a user sees something they like, they can click on the product and Lens will open up to provide available options on where to buy.
Next Steps For Advertisers
While the Search On event focused on the user experience, many advertisers are wondering how they should prepare for these updates.
For advertisers in the E-Commerce space, make sure your Merchant Center for Shopping Ads is in tip-top shape. This can include optimizing images, descriptions, titles, and including as many specifications as possible so users can better find your products.
More information is coming for marketers to help understand how these user experience updates will affect advertisers. We’ll continue to report on follow-ups from Google as they are announced.
Featured image: Vladimka production/Shutterstock
How To Optimize The Largest Contentful Paint & Rank Higher
How To Measure The Largest Contentful Paint Of Your Website
Run a free website speed test to find out. Your LCP speed will be displayed immediately.
The results of your speed test will tell you if:
- The LCP threshold is met.
- You need to optimize any other Core Web Vital.
How Is The Largest Contentful Paint Calculated?
Google looks at the 75th percentile of experiences – that means 25% of real website visitors experience LCP load times of 3.09 seconds or higher, while for 75% of users the LCP is below 3.09 seconds.
In this example, the real-user LCP is shown as 3.09 seconds.
What Are The Lab Test Results On My Core Web Vitals Data?
With this specific web speed test, you’ll also see lab metrics that were collected in a controlled test environment. While these metrics don’t directly impact Google rankings, there are two advantages of this data:
- The metrics update as soon as you improve your website, while Google’s real-time data will take 28 days to fully update.
- You get detailed reports in addition to the metrics, which can help you optimize your website.
Additionally, PageSpeed Insights also provides lab data, but keep in mind that the data it reports can sometimes be misleading due to the simulated throttling it uses to emulate a slower network connection.
How Do You Find Your Largest Contentful Paint Element?
When you run a page speed test with DebugBear, the LCP element is highlighted in the test result.
Sometimes, the LCP element may be a large image, and other times, it could be a large portion of text.
Regardless of whether your LCP element is an image or a piece of text, the LCP content won’t appear until your page starts rendering.
For example, on the page below, a background image is responsible for the largest paint.
In contrast, this page’s LCP is a paragraph of text.
To improve the Largest Contentful Paint (LCP) of your website you need to ensure that the HTML element responsible for the LCP appears quickly.
How To Improve The Largest Contentful Paint
To improve the LCP you need to:
- Find out what resources are necessary to make the LCP element appear.
- See how you can load those resources faster (or not at all).
For example, if the LCP element is a photo, you could reduce the file size of the image.
After running a DebugBear speed test, you can click on each performance metric to view more information on how it could be optimized.
Common resources that affect the LCP are:
- Render-blocking resources.
- Images that are not optimized.
- Outdated image formats.
- Fonts that are not optimized.
How To Reduce Render-Blocking Resources
Render-blocking resources are files that need to be downloaded before the browser can start drawing page content on the screen. CSS stylesheets are typically render-blocking, as are many script tags.
To reduce the performance impact of render-blocking resources you can:
- Identify what resources are render-blocking.
- Review if the resource is necessary.
- Review if the resource needs to block rendering.
- See if the resource can be loaded more quickly up, for example using compression.
The Easy Way: In the DebugBear request waterfall, requests for render-blocking resources are marked with a “Blocking” tag.
How To Prioritize & Speed Up LCP Image Requests
For this section, we’re going to leverage the new “fetchpriority” attribute on images to help your visitor’s browsers quickly identify what image should load first.
Use this attribute on your LCP element.
When just looking at the HTML, browsers often can’t immediately tell what images are important. One image might end up being a large background image, while another one might be a small part of the website footer.
Accordingly, all images are initially considered low priority, until the page has been rendered and the browser knows where the image appears.
However, that can mean that the browser only starts downloading the LCP image fairly late.
The new Priority Hints web standard allows website owners to provide more information to help browsers prioritize images and other resources.
In the example below, we can see that the browser spends a lot of time waiting, as indicated by the gray bar.
We would choose this LCP image to add the “fetchpriority” attribute to.
How To Add The “FetchPriority” Attribute To Images
Simply adding the fetchpriority=”high” attribute to an HTML img tag will the browser will prioritize downloading that image as quickly as possible.
<img src="https://www.searchenginejournal.com/optimize-largest-contentful-paint-debugbear-spcs/471883/photo.jpg" fetchpriority="high" />
How To Use Modern Image Formats & Size Images Appropriately
High-resolution images can often have a large file size, which means they take a long time to download.
In the speed test result below you can see that by looking at the dark blue shaded areas. Each line indicates a chunk of the image arriving in the browser.
There are two approaches to reducing image sizes:
- Ensure the image resolution is as low as possible. Consider serving images at different resolutions depending on the size of the user’s device.
- Use a modern image format like WebP, which can store images of the same quality at a lower file size.
How To Optimize Font Loading Times
If the LCP element is an HTML heading or paragraph, then it’s important to load the font for this chunk of text quickly.
One way to achieve this would be to use preload tags that can tell the browser to load the fonts early.
The font-display: swap CSS rule can also ensure sped-up rendering, as the browser will immediately render the text with a default font before switching to the web font later on.
Monitor Your Website To Keep The LCP Fast
Continuously monitoring your website not only lets you verify that your LCP optimizations are working, but also makes sure you get alerted if your LCP gets worse.
DebugBear can monitor the Core Web Vitals and other site speed metrics over time. In addition to running in-depth lab-based tests, the product also keeps track of the real-user metrics from Google.
Try DebugBear with a free 14-day trial.
How To Optimize The Largest Contentful Paint & Rank Higher
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