Analytics
Optimize Google’s new Interaction to Next Paint metric
30-second summary:
- Good page speed and user experience help your site stand out in search results
- The Interaction to Next Paint metric is replacing First Input Delay
- You can improve make your site respond faster to user input by reducing CPU processing times
The Core Web Vitals are a set of metrics that Google has defined to measure how good a website’s user experience is. They first became a ranking signal in 2021.
While the metric definitions have been tweaked over time, the introduction of the Interaction to Next Paint metric is the biggest change since the launch of the Core Web Vitals initiative.
What is Interaction to Next Paint (INP)?
Interaction to Next Paint is a metric that evaluates how quickly your website responds to user interaction. It measures how much time elapses between the user input, like a button click, and the next time the page content refreshes (the “next paint”).
To rank better in Google this interaction delay should be less than 200 milliseconds. This ensures that the website feels responsive to users.
How are the Core Web Vitals changing?
Google has announced that Interaction to Next Paint will become one of the three Core Web Vitals metrics in March 2024. At that point a website that responds to user input too slowly could do worse in search result rankings.
INP will replace the current First Input Delay (FID) metric. While FID also measures responsiveness, it is more limited as it only looks at the first user interaction. It also only measures the delay until the input event starts being handled, rather than waiting until the user can see the result.
Currently only 64.9% of mobile websites do well on the Interaction to Next Paint metric and it will be harder to get a good INP score than a good First Input Delay score.
How can I measure the Interaction to Next Paint metric on my website?
Run a website speed test to see how fast your website loads and how quickly it responds to user input.
Open the “Web Vitals” tab once your test is complete. You can see the Interaction to Next Paint metric at the bottom of the page.
In this case only 38% of users have a good INP experience.
How can I optimize Interaction to Next Paint?
Interaction delays happen when the browser needs to perform a lot of CPU processing before it can update the page. This can happen for two reasons:
- Ongoing background tasks prevent the user input from being handled
- Handling the user input itself is taking a lot of time
Background tasks often happen during the initial page load, but can happen later on as well. They are often caused by third party code embedded on the website.
Responding to a user interaction can require a lot of processing. If that can’t be optimized you can consider showing a spinner to provide visual feedback until the processing task is complete.
Running JavaScript code is the most common type of processing, but complex visual updates can also take a long time.
Use Chrome DevTools to analyze performance
The Chrome DevTools performance profiler shows what tasks are taking a long time and should be optimized. Start a recording, click on an element on the page, and then click on the longest bars in the visualization.
This allows you to identify whether the code comes from a third party or from your own website. You can also dive deeper to see how the task can be sped up.
Check the Total Blocking Time metric to identify background tasks
The Total Blocking Time metric tracks how often there are background CPU tasks that could block other code from running. If the user interacts with the page while a task is already in progress then the browser first completes that task before handling the input event.
You can use tools like Google Lighthouse to see how this metric can be optimized.
If processing-heavy tasks on your website are part of your core website code you’ll need to work with your development team to optimize these. For third parties you can review whether the script is still needed, or contact customer support of the vendor to see if it’s possible to optimize the code.
Monitor Interaction to Next Paint
Want to keep track of how you’re doing on INP and other Core Web Vitals? DebugBear can keep track of your website speed and help you optimize it.
Start a free 14-day trial today and deliver a better user experience.
Conclusion
The Interaction to Next Paint metric represents the biggest change to Google’s Core Web Vitals since they were originally announced. INP addresses the deficiencies of the previous First Input Delay metric and provides a better representation of how users experience a website.
Check how your website does on the Interaction to Next Paint metric before the ranking change is rolled out in 2024. That way you’ll have plenty of time to identify optimizations and make your website faster.
Try DebugBear with a free 14-day trial.
The post Optimize Google’s new Interaction to Next Paint metric appeared first on Search Engine Watch.
Changes in GA4 Attribution Models
Starting September 20203, GA4 is making changes to their attribution models.
The first-click, linear, time-decay, and position-based attribution models will be removed from the attribution reports, property-level reporting-model setting, and Admin API. Cross-channel data-driven attribution, cross-channel last click, and Ads preferred last click will continue to be available.
You will start to see the impact of these changes starting in May. In May any newly created properties will no longer be able to select these models.
As per google: Rules-based attribution models assign value to each advertising touchpoint based on predefined rules. These models don’t provide the flexibility needed to adapt to evolving consumer journeys. Data-driven attribution uses advanced AI to understand the impact each touchpoint has on a conversion. That’s why we made data-driven attribution the default attribution model in Google Analytics 4 and Google Ads. For these reasons, first click, linear, time decay, and position-based attribution models across Google Analytics 4 will be going away.
Increased Number of Properties and Sub-Properties in an Account
Google Analytics has increased the number of Properties allowed in an account from the previous default value of 100 to 2000 (learn more). This change will allow for more flexibility in organizing properties and removes the need to request an increase from the support team. This change impacts GA4 free accounts.
In addition, a new limit on the number of sub-properties allowed on a property was introduced (learn more). This limit is set at 400; it may be increased via a request to support. These requests will be closely scrutinized and approved on a case-by-case basis. Subproperties are only available in GA4 360, the paid version of Google Analytics.
Is GA4 adding Optizime, renaming it to Experience?
Craig Sullivan, a prominent authority in the Web Analytics, UX and Experimentation field, shared a screenshot from one of his Google Analytics 4 (GA4) accounts.
He wrote in his LinkedIn message:
“Now that’s interesting. Haven’t seen that screen in GA4 before!
Anyone else out there seeing this experiences icon and tab on the UI like me? Have I struck gold on a new beta? Is this a bug?”
and here is the screenshot her shared
Another Twitter thread mentioned that this screenshot was shared by a few others on LinkedIn.
Now, we looked at several of our accounts but did not find “Experience” in any of them. So maybe some of the users who saw are part of A/B testing or a beta release.
So seems like Google Optimize is not dead, it will likely become part of GA4.
Can you check your account and see if you have this feature in your GA4 account?
Seven tips to optimize page speed in 2023
30-second summary:
- There has been a gradual increase in Google’s impact of page load time on website rankings
- Google has introduced the three Core Web Vitals metrics as ranking factors to measure user experience
- The following steps can help you get a better idea of the performance of your website through multiple tests
A fast website not only delivers a better experience but can also increase conversion rates and improve your search engine rankings. Google has introduced the three Core Web Vitals metrics to measure user experience and is using them as a ranking factor.
Let’s take a look at what you can do to test and optimize the performance of your website.
Start in Google Search Console
Want to know if optimizing Core Web Vitals is something you should be thinking about? Use the page experience report in Google Search Console to check if any of the pages on your website are loading too slowly.
Search Console shows data that Google collects from real users in Chrome, and this is also the data that’s used as a ranking signal. You can see exactly what page URLs need to be optimized.
Run a website speed test
Google’s real user data will tell you how fast your website is, but it won’t provide an analysis that explains why your website is slow.
Run a free website speed test to find out. Simply enter the URL of the page you want to test. You’ll get a detailed performance report for your website, including recommendations on how to optimize it.
Use priority hints to optimize the Largest Contentful Paint
Priority Hints are a new browser feature that came out in 2022. It allows website owners to indicate how important an image or other resource is on the page.
This is especially important when optimizing the Largest Contentful Paint, one of the three Core Web Vitals metrics. It measures how long it takes for the main page content to appear after opening the page.
By default, browsers assume that all images are low priority until the page starts rendering and the browser knows which images are visible to the user. That way bandwidth isn’t wasted on low-priority images near the bottom of the page or in the footer. But it also slows down important images at the top of the page.
Adding a fetchpriority=”high” attribute to the img element that’s responsible for the Largest Contentful Paint ensures that it’s downloaded quickly.
Use native image lazy loading for optimization
Image lazy loading means only loading images when they become visible to the user. It’s a great way to help the browser focus on the most important content first.
However, image lazy loading can also slow cause images to take longer to load, especially when using a JavaScript lazy loading library. In that case, the browser first needs to load the JavaScript library before starting to load images. This long request chain means that it takes a while for the browser to load the image.
Today browsers support native lazy loading with the loading=”lazy” attribute for images. That way you can get the benefits of lazy loading without incurring the cost of having to download a JavaScript library first.
Remove and optimize render-blocking resources
Render-blocking resources are network requests that the browser needs to make before it can show any page content to the user. They include the HTML document, CSS stylesheets, as well as some JavaScript files.
Since these resources have such a big impact on page load time you should check each one to see if it’s truly necessary. The async keyword on the HTML script tag lets you load JavaScript code without blocking rendering.
If a resource has to block rendering check if you can optimize the request to load the resource more quickly, for example by improving compression or loading the file from your main web server instead of from a third party.
Optimize with the new interaction to Next Paint metric
Google has announced a new metric called Interaction to Next Paint. This metric measures how quickly your site responds to user input and is likely to become one of the Core Web Vitals in the future.
You can already see how your website is doing on this metric using tools like PageSpeed Insights.
Continuously monitor your site performance
One-off site speed tests can identify performance issues on your website, but they don’t make it easy to keep track of your test results and confirm that your optimizations are working.
DebugBear continuously monitors your website to check and alerts you when there’s a problem. The tool also makes it easy to show off the impact of your work to clients and share test results with your team.
Try DebugBear with a free 14-day trial.
The post Seven tips to optimize page speed in 2023 appeared first on Search Engine Watch.
How to harness RankBrain for ecommerce websites
30-second summary:
- Let’s make this clear, RankBrain is not a Google algorithm, it is a component of Google’s Hummingbird algorithm
- RankBrain is a powerful AI-based system that helps Google understand search queries better and generate more accurate results
- If you want to break through the clutter of 12+ million ecommerce websites, marketers need to understand and align with Google’s RankBrain-driven search algorithm
- This step-by-step guide will help you make RankBrain work in favor of your ecommerce website’s search visibility
Lack of search engine visibility is one of the top reasons ecommerce businesses fail. And it is understandable why.
Data shows that 38 percent of an ecommerce store’s traffic comes through organic sources. When an ecommerce website fails to rise in the search results, it loses touch with a massive chunk of its prospects. And with around 12 to 24 million ecommerce websites out there, disappearing in the search results and failing to interact with the audience means losing to vicious competition.
Attempting to rank higher, on the other hand, means understanding and aligning with Google’s RankBrain-driven search algorithm.
For relevance between search queries and results, Google uses RankBrain to rank websites. Any seller who wishes to rank high and gain exposure must optimize their ecommerce store for RankBrain. But how do you get about harnessing RankBrain for ecommerce?
What is RankBrain?
Google is very secretive about how its algorithms work, so we have little information about what RankBrain is.
But from what we do know, RankBrain is a powerful AI-based system that helps Google understand search queries better and generate more accurate results.
RankBrain helps Google understand the pattern in user search and browsing behavior. With this understanding, Google uncovers the intent behind a search and generates results that are conceptually and contextually relevant to the search.
From the example below, we searched for “Edison” in Google. Now, it could have been the city of Edison in New Jersey. But Google must have known most people who search “Edison” are looking for information on Thomas Edison, and hence generated results accordingly.
This is courtesy of RankBrain.
RankBrain is exceptionally accurate at matching search queries with results. In fact, it outperformed Google’s experts by 10 percent in doing that.
Google now uses RankBrain in all of its search queries. Therefore, it is critical for any ecommerce store looking for search visibility to optimize for RankBrain.
Before moving forward, it is essential to note that RankBrain is not a Google algorithm. It is a component of Google’s Hummingbird algorithm.
Now since that’s out of the way, let’s go ahead and talk about how you can optimize your ecommerce store for RankBrain.
How to optimize and make the most of RankBrain for ecommerce stores
Optimizing for RankBrain involves no rocket science. Here’s how you can do it:
1. Rethink your keyword research
If you are still optimizing your ecommerce store around one primary keyword, please stop. The search engine world has evolved far beyond that.
Yes, keywords are still relevant. But Google no longer uses exact-match keywords to find relevance.
You can see how the search query and keywords in the top search results differ:
Therefore, identify a core keyword and brainstorm other similar keyword ideas around it.
For example, when optimizing your crockery ecommerce store, your main keyword may be imported china crockery, but Google may also associate words like “imported plates” and “China sweet bowls” with your primary keyword.
Additionally, consider including medium-tail keywords. According to digital marketing maestro Shane Barker, medium-tail keywords are the perfect choice when optimizing for RankBrain.
Also, don’t forget question-based keywords. According to research, almost 8 percent of all search queries are questions.
Given that Google processes billions of search queries daily, 8 percent would form an appreciable number of questions.
Therefore, search for and include question-based keywords.
Finally, remember it’s no longer about keyword density. Optimization is all about user experience. Therefore, include keywords in a way that doesn’t disrupt the flow of the content.
2. Create in-depth and quality content
RankBrain is big on user experience. This is why it gives extra weight to well-written content that offers value to the users.
So, first, identify your target audience’s struggles, and figure out their unasked questions and unsolved problems. And then create detailed content around it.
For example, you have realized your prospects are keen on learning about laptops. You have a topic on hand. Now, you can create a long-form blog or an ebook explaining all the types of laptops, what makes them good and bad, and how they can choose the right laptop for themselves.
Also, keep your readers in mind when creating this content and ensure that the style and language align with their preferences.
Keep your tone conversational. Write like you talk so the readers can feel a human-to-human connection and stay longer on the page, demonstrating satisfaction – something the RankBrain rewards.
3. Work on increasing your CTR
CTR is another indicator of user satisfaction. Google uses a quality-score algorithm. And CTR is an integral part of the quality score.
Activating featured snippets may help since listings containing featured snippets are reported to have 2x higher CTR than those without featured snippets.
When running an ecommerce store, you can use rich snippets to display your product’s reviews or your catalog and price.
Branding may also help increase CTR.
88 percent of customers say authenticity is critical when deciding what brands they want to support.
Therefore, invest in building your brand authority. Generating clicks will become much easier when prospects recognize and trust your brand.
Imagine searching for “running shoes” and coming across two listings, one of Nike and another of an unknown seller. Which one would you click? Nike, most likely because it is a trusted and recognized brand.
4. Focus on user intent and search intent
User intent is defined as the goal or intention of a user behind entering a search term into a search engine.
Imagine you have driven traffic to your ecommerce store. How are you confident that the traffic is here for shopping and not simply browsing?
This is where user or search intent comes into play.
To get more leads and generate more revenue, you have to focus more on the commercial and transactional intent of the user.
Your website ranks higher if you are using intent-specific words.
These transactional intent keywords often include the words discount, buy, deal, promo codes, coupons, cheapest, and purchase.
Thus, you are directed to the right customers using these transactional keywords.
5. Increase dwell time. Decrease bounce rate.
RankBrain collects information about user satisfaction and assigns ranks based on that.
When a user enters your website and leaves quickly, RankBrain thinks your website isn’t satisfactory enough for the user. And hence, your website may suffer in ranking.
As opposed to that, if a user visits your website and stays back for a long time, this tells RankBrain how users are satisfied with what you have on your website. Consequently, you may be rewarded.
This is why you must work on increasing your website’s dwell time and decreasing bounce rate. Here are some ways you can do that:
Work on site navigation
Site navigation is the process of clicking and looking through the pages of a website. It is a collection of user interface components and it helps customers to flow from one page of a website to another easily.
Simple site navigation allows the user to complete the task in less time. This increases the user experience as the user encounters fewer confusions related to the website.
Simple site navigation also allows search engines to crawl your website more easily and effectively.
Content
Effective content designing and formatting increases users’ engagement on a website and positively impacts the experience. According to a survey, 66 percent users prefer to interact with “beautifully designed” content.
User-friendly layout
Layout design and text size on a website can improve or disrupt the user experience. User-friendly layout of a website can be attained by using images and videos, organizing and formatting content interactively, and adding links to other related content.
User-friendly layout can also be achieved by adding related graphics, CTAs throughout the site and using clear headers.
Website structure
Website structure defines the arrangement of your site’s content, its design, and the way the pages are related to one another. A good website structure has various elements including taxonomies, internal links, breadcrumbs, navigation, and schema.
The most popular type of website structure is the hierarchical structure. This type of structure is useful for websites having a large amount of data. As ecommerce websites have a large amount of data, the hierarchical structure makes it easy for search engines to crawl your website. Thus it becomes easier for your website to be indexed.
Website load speed
Website load speed is the time it takes for your website to load as well as the time it takes for search engines to crawl your website.
Customers prefer fast-loading websites. This is why improving your website load speed enhances your user experience.
More importantly, website load speed is a search engine ranking factor. Google uses it to judge a website’s UX while determining its rank.
Therefore, optimizing your website’s load speed is critical when enhancing your ecommerce store.
Some of the methods to reduce website load speed are improving server response time, reducing redirects, and enabling compression for CSS, HTML, and JavaScript files.
Internal links
Internal links help users navigate from one page on your website to the other, keeping them on the site for longer and prolonging dwell time.
So, build a solid internal linking structure and make sure to link only relevant pages with one another.
High-quality product images and include product details
Since you are optimizing an ecommerce site, use clear product photos and include as many details as you can about your products to keep the customers on your website for longer.
Conclusion
With the advent of Machine Learning and advanced SEO techniques, avoiding new marketing technologies can drastically harm your ecommerce business.
RankBrain is a machine learning (AI) algorithm that Google uses to sort search results. It also helps Google process and understands search queries. RankBrain understands the user intent and provides relevant search results.
RankBrain will only increase in popularity with time and become even more crucial for ecommerce store optimization. Working to get yourself acquainted with RankBrain today will help you run your ecommerce store more successfully in the future. So, start now to foster your long-term success.
Atul Jindal is a web design and marketing specialist. He has worked on website/app optimization for SEO with a core focus on conversion optimization. He creates web experiences that bring conversations and transform web traffic into paying customers or leads.
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The post How to harness RankBrain for ecommerce websites appeared first on Search Engine Watch.
Turning data into results with data-driven attribution
Showcasing how Mercedes-Benz Germany increased performance with data-driven attribution, and introducing new ways to see success with this model.
Google Analytics Blog
Google market pulse for search marketers
30-second summary:
- Google is always testing new spots on the page for SERP components
- In simple terms, the #1 position in organic or paid ads does not guarantee that your paid ad listing will be visible without scrolling
- Organic position #1 reported by Google Search Console is not the actual position 1 on page
- A lot of anomalies and assumptions impact your paid and organic clicks – is there a smart way to counter this problem?
- Leading advisor and performance marketing expert, Prasanna Dhungel unravels four key insights marketers to maximize performance marketing initiatives in 2023
Over the last two decades, Google’s search engine results page (SERP) has evolved a lot. The Google SERP, which once only had organic listings now features dynamic paid ads and other organic SERP components as well.
Currently, Google SERP has many organic features like –
- People also ask (PAA),
- Popular products,
- featured snippets,
- Google MAP,
- image packs,
- videos,
- Tweets, and many more that I believe we are just scratching the surface of
Paid features currently seen on Google SERP are –
- Shopping ads,
- text ads, and
- MAP local search ads
These are some paid features advertisers should not ignore if they want to build better advertising and content strategies for maximum search marketing ROI.
Google varies the composition of SERP by keyword, geography, time of day, and device. Google is testing new spots on the page for SERP components. What does all this mean, you may ask? In simple terms, the #1 position in organic or paid ads does not guarantee that your listing will be visible without scrolling. It means that an organic position #1 reported by Google Search Console is not actual position 1 on the page. So, you have a much lower CTR than you expect, and all these impact your paid and organic clicks.
With this dynamic nature of SERP, search marketers must understand the SERP landscape and their brand’s true rank on Google vs competition. This view will enable search marketers to deploy the right paid and SEO tactics to maximize visibility and clicks.
Based on my experience and understanding of the dynamic SERP, here are four key insights marketers should focus on to maximize their performance marketing initiatives.
1. Analyze the composition of SERP for your keywords
Marketers must understand SERP features visible for their keywords. The graph below suggests that along with organic, SERP features like PAA and popular products are taking significant real estate for “apparel” and “accessories” keywords. Search marketers that are not targeting these components will miss acquiring customers in different stages of their buying journey that are clicking on People Also Ask.
2. Monitor emerging and contracting SERP features
Marketers must understand new SERP features that have appeared and are getting popular for their keyword traffic. This helps develop a long-term advertising and content plan that targets popular SERP features.
In the last quarter, we identified Map Local Search Ads and App Install (in mobile devices) SERP features appearing in the “apparel” and “accessories” keywords. We saw growth in the popularity of PAA and popular products across many keyword groups.
3. Keep track of above-the-fold SERP features
Understanding the SERP features visible above-the-fold real estate is critical. These insights will help marketers understand the dynamics of rising and falling SERP click-through rates. You may wonder why the clicks are declining even though your average position reported on Google Reports is improving. Such questions can be answered with true ad position in SERP.
As shown in the below graph, the usual organic component in this keyword landscape has lower above-the-fold coverage compared to SERP features like PAA and popular products.
Insights like these help marketers understand the fastest gateway to the first page above the fold position. Marketers can build a holistic search strategy to correctly allocate their search marketing budget across organic and paid SERP features.
4. Monitor competitor’s through SERP features
Google is an ultra-competitive channel. You have many domains appear on Google SERP from aggregators to publishers to actual competitors of your business model. To build the right marketing tactics -it is imperative to understand the top domains by SERP features, their competitive tactics, and the SERP landscape changes.
From planning link building to acquiring secondary traffic to improving authority score to crafting advertising and content strategies – SERP-driven insights like these help you maximize search advertising performance.
Additionally, monitoring your top emerging competitors’ tactics across SERP formats allows you to timely optimize your advertising campaigns. As shown in the graph below, Amazon has tremendously improved its Google Shopping Ads Share of Voice from May to July 2022.
When brands like this are heavily advertising in a category, marketers will need to advertise products in categories Amazon is not aggressively pushing and come back when Amazon advertising slows down.
Conclusion
Google is increasingly sharing less data. Google ad data doesn’t show advertisers which low impressions may be appearing and creeping up on your CPCs. Google search console data doesn’t show true rank, and the organic rank shared isn’t representative of the actual location on the page.
Going into 2023, it is imperative for search marketers to use SERP-driven insights to gain an edge in their performance marketing campaigns.
Prasanna Dhungel co-founded and runs GrowByData, which powers performance marketing for leading brands such as Crocs and top agencies like Merkle. GrowByData offers marketing intelligence for search, marketplace, and product management to win new revenue, boost marketing performance and manage brand compliance.
Prasanna also advises executives, board & investors on data strategy, growth, and product. He has advised leading firms such as Melinda & Bill Gates Foundation, Athena Health, and Apellis Pharma.
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The post Google market pulse for search marketers appeared first on Search Engine Watch.
6 Reasons Why Your GA4 Reports Might Be Wrong
- Missing Tags – This is the most common error of wrong data. This generally happens when new pages are added or the existing pages are redesigned/recoded and the developer forgets to include the tags. Make sure all of your pages are tagged with Google Analytics code. You can use a tool like GAChecker, to verify if the Google Analytics tags are missing on any pages of your site.
- Mistagged Pages – Incorrect implementation or double tagging leads to wrong data in Google Analytics. Double tagging results in increased page views and a low bounce rate. If your bounce rate is lower than 20% then that’s the first thing you should check.
- Location of GA Tags – Placing the tag towards the bottom of the page could result in no data, particularly for users with slow connections or pages that are slow to load. This happens when a user tries to load a page and clicks on another link before the first page is loaded. Since the Google Analytics tag is towards the bottom of the page, it might not get a chance to execute. To avoid this issue, put your Google Analytics JavaScript in the <head> section of the page.
- Incorrect Filters – Wrong Filters can mess up the data and distort the view. Always create an unfiltered view so that you have the correct data to fall back on.
- Tags Not Firing Properly – This can happen when your page(s) have JavaScript errors. A JavaScript error on any part of the page can result in an error in Google Analytics code. Verify the JavaScript on your site to make sure there are no errors.
- Sampling – Sampling happens on highly trafficked sites. Sampling in Google Analytics is the practice of selecting a subset of data from your traffic and reporting on the trends available in that sample set. For most purposes, this might not be a non-issue however it can be of concern in eCommerce sites where sampling can (will) result in wrong sales figures. You can get more information about GA sampling on “How Sampling Works“.
Posted in: Implementation
How to Filter out Bots and Spiders from Google Analytics
A common misconception is that Google Analytics or any other JavaScript-based Web Analytics solution filters out Spiders and Bots automatically. This was true till few years ago because most of the spiders and bots were not capable of executing JavaScript and hence were never captured by JavaScript-based Web Analytics solutions. As shown in 4 reasons why your bounce rate might be wrong, these days bots and spiders can execute JavaScript and hence are showing up in your Web Analytics reports.
Google Analytics has released a new feature that will let you filter out known spiders and bots. Here are few things to keep in mind
- The data will only filter spiders and bots from the day you enable this setting. It won’t be allied to the data already processed.
- Since this will filter out bots, you might notice a drop in your visits, page views etc.
Here are the steps to filter out Spiders and Bots
- Go to the Admin section of your Google Analytics report
- Click “View” section and choose the right report view
- Click on “ View Settings” (see image 1 below)
- Check the box under “Bot Filtering” which says “Exclude all hits from known bots and spiders” (see image 2 below)
- Click “Save” button at the bottom and you are done.