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Research: Core Web Vitals Ranking Boost by Industry


Research: Core Web Vitals Ranking Boost by Industry

Enterprise SEO Platform provider BrightEdge produced a report comparing for industries to understand Core Web Vitals performance. They discovered which kinds of sites were best positioned to receive a Google ranking boost and why some others were missing out.


BrightEdge reviewed the top sites across four verticals across five hundred keywords. They selected the pages that ranked for those top five hundred keywords so that the results of the study reflected an approximation of the actual Core Web Vitals in the search engine results pages.

BrightEdge noted about their methodology:

“Mobile page speed performance on all URLs was measured and aggregated from the CrUX Database. We tested this specifically for mobile because of the importance and roll-out of Mobile-First Indexing.”

Google has said that the Core Web Vitals scores will be an aggregate of groups of pages on a site. As pages are reached by actual users who are opted in to report back CWV scores, these are archived and publicly made available as the CrUX Database.

Google’s Mueller commented on how core web vitals are calculated:

“…What happens with the field data is we don’t have data points for every page.

So we, for the most part, we need to have kind of groupings of individual pages.

And depending on the amount of data that we have, that can be a grouping of the whole website (kind of the domain).

…I think in the Chrome User Experience Report they use the origin which would be the subdomain and the protocol there.

So that would be kind of the overarching kind of grouping.

And if we have more data for individual parts of a website then we’ll try to use that.”

Using the CWV scores of the top ranked pages and also the CrUX data is a realistic place to begin for finding out how likely the businesses in these sectors will receive a ranking boost related to Core Web Vitals.

Four Industries Ranked for Core Web Vitals

BrightEdge ranked four business niches.

Four Niches Ranked:

  • Finance
  • Business to Business (B2B)
  • Educational
  • Retail

Finance Core Web Vitals – #1 Winner

The most competitive niche in this comparison of four industries is finance and that’s hardly surprising.

Banking, loans, mortgages, credit cards and most anything to do with money have traditionally been highly competitive in terms of search engine optimization.

24% of top URLs in the finance sector would receive a boost. Informational sites were the best optimized and positioned to receive a ranking boost. Banking and aggregator sites need most improvement

B2B – Second Most Competitive CWV Niche

B2B is a niche comprising a wide range of industries. It could be anything from restaurant supplies to human resources management software. My experience working with B2B companies is that they are fairly text heavy and not overly burdened by media files.

So it wasn’t too surprising to see that this niche had the second most competitive rankings.

A full 13% of top ranked sites would likely receive a ranking boost.

Although this means that most sites in the B2B niche would probably not receive a ranking boost, sites in this niche shouldn’t count on that. SEO (and winning in general) is about doing the best that can possibly be done, after all.

According to the BrightEdge report, informational sites in the B2B niche tended to do well. B2B transactional sites did less well because of video and other interactive content.

Educational Sites – Third Place

Education related websites came in third place with a dramatically lower amount of sites on the receiving end of a Core Web Vitals ranking boost.

Less than than 5% of sites in the educational sector would get a ranking boost. Similar to B2B and the Finance areas, informational and resource pages performed best.

App stores and sites with dynamic content performing less well.

Retail Sites – Biggest Losers

Retail sites brought up the bottom end, representing the most challenged niche of all four.

Of the top three niches it was the informational sites that tended to do well and the transactional end of those niches representing the least likely to receive a ranking boost.

Seen from that perspective perhaps it’s not surprising that the mostly purely transactional Retail sector may struggle to achieve a Google Page Experience ranking boost.

Nearly zero retail sites would receive a ranking boost. The top reasons for the poor performance were hero images and sales pop-ups dragging down LCP and Layout Shift scores.

The bright spot in the retail sector was review sites. Review sites in the retail sectors are the best optimized to receive a ranking boost.

BrightEdge Report Key Findings

The report by BrightEdge summarized their findings:

  1. “The Mobile Experience is critical for all categories.
  2. Image compression seems to be a leading challenge for leading brands.
  3. Pages doing well for CWV tend to be informational in nature.
  4. Retail, in particular, could see significant disruption if second-tier retailers receive a boost.”

According to Jim Yu, CEO, BrightEdge:

“We see that some sectors may be more prepared than others for Google’s Page Experience Update and Core Web Vitals. Our research shows that there are some commonalities across industries.

For example, challenges with mobile image compression. However, it’s important to remember that – especially in large enterprises, nuances and challenges differ- and what the roll-out may look like today may differ entirely over time and in May.

That will all depend on how Enterprise Search and Digital Marketers work to prescribe the right course of action to meet core vital benchmarks and how they convince and collaborate with the rest of the organization including IT and web development”

Core Web Vitals is a Challenge

Achieving top scores for the Core Web Vitals metrics is challenging because many of the issues needing to be fixed are not the fault of the publishers and businesses. The issues needing to be fixed tend to be related to how the content management system (CMS) and themes used are designed.

For example, a retail site depends on the shopping platform they choose to be coded in a way that reduces the amount of code necessary to render a web page and to have that code presented in a way that doesn’t block the main thread rendering.

That has not traditionally been a typical coding practice by most CMS and shopping platform developers because until this year there hasn’t been a demand from publishers and retailers for that kind of coding.

But that’s not an excuse to use to not try to fix the issues that are inherent in many, perhaps most content management systems and themes.


Watch the full and complete BrightEdge Report on Core Web Vitals



Vad kan ChatGPT göra?


ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Produktrecensioner Uppdatering påverkar mer än engelska webbplatser? via @sejournal, @martinibuster


Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”


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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.


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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.


Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]


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Undersökningen säger: Amazon, Google litar mer på dina personuppgifter än vad Apple är



MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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