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How I Beat Google’s Core Update by Changing the Game

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how i beat googles core update by changing the game

Google released a major update. They typically don’t announce their updates, but you know when they do, it is going to be big.

And that’s what happened with the most recent update that they announced.

A lot of people saw their traffic drop. And of course, at the same time, people saw their traffic increase because when one site goes down in rankings another site moves up to take its spot.

Can you guess what happened to my traffic?

Well, based on the title of the post you are probably going to guess that it went up.

Now, let’s see what happened to my search traffic.

dropintraffic

My overall traffic has already dipped by roughly 6%. When you look at my organic traffic, you can see that it has dropped by 13.39%.

searchdrop

I know what you are thinking… how did you beat Google’s core update when your traffic went down?

What if I told you that I saw this coming and I came up with a solution and contingency strategy in case my organic search traffic would ever drop?

But before I go into that, let me first break down how it all started and then I will get into how I beat Google’s core update.

A new trend

I’ve been doing SEO for a long time… roughly 18 years now.

When I first started, Google algorithm updates still sucked but they were much more simple. For example, you could get hit hard if you built spammy links or if your content was super thin and provided no value.

Over the years, their algorithm has gotten much more complex. Nowadays, it isn’t about if you are breaking the rules or not. Today, it is about optimizing for user experience and doing what’s best for your visitors.

But that in and of itself is never very clear. How do you know that what you are doing is better for a visitor than your competition?

Honestly, you can never be 100% sure. The only one who actually knows is Google. And it is based on whoever it is they decide to work on coding or adjusting their algorithm.

Years ago, I started to notice a new trend with my search traffic.

searchtraffic

Look at the graph above, do you see the trend?

And no, my traffic doesn’t just climb up and to the right. There are a lot of dips in there. But, of course, my rankings eventually started to continually climb because I figured out how to adapt to algorithm updates.

On a side note, if you aren’t sure how to adapt to the latest algorithm update, read this. It will teach you how to recover your traffic… assuming you saw a dip. Or if you need extra help, check out my ad agency.

In many cases after an algorithm update, Google continues to fine-tune and tweak the algorithm. And if you saw a dip when you shouldn’t have, you’ll eventually start recovering.

But even then, there was one big issue. Compared to all of the previous years, I started to feel like I didn’t have control as an SEO anymore back in 2017. I could no longer guarantee my success, even if I did everything correctly.

Now, I am not trying to blame Google… they didn’t do anything wrong. Overall, their algorithm is great and relevant. If it wasn’t, I wouldn’t be using them.

And just like you and me, Google isn’t perfect. They continually adjust and aim to improve. That’s why they do over 3,200 algorithm updates in a year.

But still, even though I love Google, I didn’t like the feeling of being helpless. Because I knew if my traffic took a drastic dip, I would lose a ton of money.

I need that traffic, not only to drive new revenue but, more importantly, to pay my team members. The concept of not being able to pay my team on any given month is scary, especially when your business is bootstrapped.

So what did I do?

I took matters into my own hands

Although I love SEO, and I think I’m pretty decent at it based on my traffic and my track record, I knew I had to come up with another solution that could provide me with sustainable traffic that could still generate leads for my business.

In addition to that, I wanted to find something that wasn’t “paid,” as I was bootstrapping. Just like how SEO was starting to have more ups and downs compared to what I’ve seen in my 18-year career, I knew the cost at paid ads would continually rise.

Just look at Google’s ad revenue. They have some ups and downs every quarter but the overall trend is up and to the right.

googleadrevenue

In other words, advertising will continually get more expensive over time.

And it’s not just Google either. Facebook Ads keep getting more expensive as well.

facebookadrev

I didn’t want to rely on a channel that would cost me more next year and the year after because it could get so expensive that I may not be able to profitably leverage it in the future.

So, what did I do?

I went on a hunt to figure out a way to get direct, referral, and organic traffic that didn’t rely on any algorithm updates. (I will explain what I mean by organic traffic in a bit.)

I went on my mission

With the help of my buddy, Andrew Dumont, I went searching for websites that continually received good traffic even after algorithm updates.

Here were the criteria that we were looking for:

  • Sites that weren’t reliant on Google traffic
  • Sites that didn’t need to continually produce more content to get more traffic
  • Sites that weren’t popular due to social media traffic (we both saw social traffic dying)
  • Sites that didn’t leverage paid ads in the past or present
  • Sites that didn’t leverage marketing

In essence, we were looking for sites that were popular because people naturally liked them. Our intentions at first weren’t to necessarily buy any of these sites. Instead, we were trying to figure out how to naturally become popular so we could replicate it.

Do you know what we figured out?

I’ll give you a hint.

Think of it this way: Google doesn’t get the majority of their traffic from SEO. And Facebook doesn’t get their traffic because they rank everywhere on Google or that people share Facebook.com on the social web.

Do you know how they are naturally popular?

It comes down to building a good product.

That was my aha! moment. Why continually crank out thousands of pieces of content, which isn’t scalable and is a pain as you eventually have to update your old content, when I could just build a product?

That’s when Andrew and I stumbled upon Ubersuggest.

Now the Ubersuggest you see today isn’t what it looked like in February 2017 when I bought it.

ubersuggestio

It used to be a simple tool that just showed you Google Suggest results based on any query.

Before I took it over, it was generating 117,425 unique visitors per month and had 38,700 backlinks from 8,490 referring domains.

All of this was natural. The original founder didn’t do any marketing. He just built a product and it naturally spread.

The tool did, however, have roughly 43% of its traffic coming from organic search. Now, can you guess what keyword it was?

The term was “Ubersuggest”.

In other words, its organic traffic mainly came from its own brand, which isn’t really reliant on SEO or affected by Google algorithm updates. That’s also what I meant when I talked about organic traffic that wasn’t reliant on Google.

Now since then I’ve gone a bit crazy with Ubersuggest and released loads of new features… from daily rank tracking to a domain analysis and site audit report to a content ideas report and backlinks report.

In other words, I’ve been making it a robust SEO tool that has everything you need and is easy to use.

It’s been so effective that the traffic on Ubersuggest went from 117,425 unique visitors to a whopping 651,436 unique visitors that generates 2,357,927 visits and 13,582,999 pageviews per month.

ubersuggesttraffic

Best of all, the users are sticky, meaning the average Ubersuggest user spends over 26 minutes on the application each month. This means that they are engaged and will likely to convert into customers.

ubersuggestemail

As I get more aggressive with my Ubersuggest funnel and start collecting leads from it, I expect to receive many more emails like that.

And over the years, I expect the traffic to continually grow.

Best of all, do you know what happens to the traffic on Ubersuggest when my site gets hit by a Google algorithm update or when my content stops going viral on Facebook?

It continually goes up and to the right.

ubersuggestovertime

Now, unless you dump a ton of money and time into replicating what I am doing with Ubersuggest, but for your industry, you won’t generate the results I am generating.

As my mom says, I’m kind of crazy…

But that doesn’t mean you can’t do well on a budget.

Back in 2013, I did a test where I released a tool on my old blog Quick Sprout. It was an SEO tool that wasn’t too great and honestly, I probably spent too much money on it.

speedtest

Here were the stats for the first 4 days of releasing the tool:

  • Day #1: 8,462 people ran 10,766 URLs
  • Day #2: 5,685 people ran 7,241 URLs
  • Day #3: 1,758 people ran 2,264 URLs
  • Day #4: 1,842 people ran 2,291 URLs

Even after the launch traffic died down, still 1,000+ people per day used the tool. And, over time, it actually went up to over 2,000.

It was at that point in my career, I realized that people love tools.

I know what you are thinking though… how do you do this on a budget, right?

How to build tools without hiring developers or spending lots of money

What’s silly is, and I wish I knew this before I built my first tool on Quick Sprout back in the day, there are tools that already exist for every industry.

You don’t have to create something new or hire some expensive developers. You can just use an existing tool on the market.

And if you want to go crazy like me, you can start adding multiple tools to your site… just like how I have an A/B testing calculator.

So how do you add tools without breaking the bank?

You buy them from sites like Code Canyon. From $2 to $50, you can find tools on just about anything. For example, if I wanted an SEO tool, Code Canyon has a ton to choose from. Just look at this one.

seotoolfree

Not a bad looking tool that you can have on your website for just $40. You don’t have to pay monthly fees and you don’t need a developer… it’s easy to install and it doesn’t cost much in the grand scheme of things.

And here is the crazy thing: The $40 SEO tool has more features than the Quick Sprout one I built, has a better overall design, and it is .1% the cost.

Only if I knew that before I built it years ago. :/

Look, there are tools out there for every industry. From mortgage calculators to calorie counters to a parking spot finder and even video games that you can add to your site and make your own.

In other words, you don’t have to build something from scratch. There are tools for every industry that already exists and you can buy them for pennies on the dollar.

Conclusion

I love SEO and always will. Heck, even though many SEOs hate how Google does algorithm updates, that doesn’t bother me either… I love Google and they have built a great product.

But if you want to continually do well, you can’t rely on one marketing channel. You need to take an omnichannel approach and leverage as many as possible.

That way, when one goes down, you are still generating traffic.

Now if you want to do really well, think about most of the large companies out there. You don’t build a billion-dollar business from SEO, paid ads, or any other form of marketing. You first need to build an amazing product or service.

So, consider adding tools to your site, the data shows it is more effective than content marketing and it is more scalable.

Sure you probably won’t achieve the results I achieved with Ubersuggest, but you can achieve the results I had with Quick Sprout. And you can achieve better results than what you are currently getting from content marketing.

What do you think? Are you going to add tools to your site?

PS: If you aren’t sure what type of tool you should add to your site, leave a comment and I will see if I can give you any ideas. 🙂

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No Algorithmic Actions For Site Reputation Abuse Yet

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Looking up at an angle at the Google sign on the Head Office for Canada

Google’s Search Liaison, Danny Sullivan, has confirmed that the search engine hasn’t launched algorithmic actions targeting site reputation abuse.

This clarification addresses speculation within the SEO community that recent traffic drops are related to Google’s previously announced policy update.

Sullivan Says No Update Rolled Out

Lily Ray, an SEO professional, shared a screenshot on Twitter showing a significant drop in traffic for the website Groupon starting on May 6.

Ray suggested this was evidence that Google had begun rolling out algorithmic penalties for sites violating the company’s site reputation abuse policy.

However, Sullivan quickly stepped in, stating:

“We have not gone live with algorithmic actions on site reputation abuse. I well imagine when we do, we’ll be very clear about that. Publishers seeing changes and thinking it’s this — it’s not — results change all the time for all types of reasons.”

Sullivan added that when the actions are rolled out, they will only impact specific content, not entire websites.

This is an important distinction, as it suggests that even if a site has some pages manually penalized, the rest of the domain can rank normally.

Background On Google’s Site Reputation Abuse Policy

Earlier this year, Google announced a new policy to combat what it calls “site reputation abuse.”

This refers to situations where third-party content is published on authoritative domains with little oversight or involvement from the host site.

Examples include sponsored posts, advertorials, and partner content that is loosely related to or unrelated to a site’s primary purpose.

Under the new policy, Google is taking manual action against offending pages and plans to incorporate algorithmic detection.

What This Means For Publishers & SEOs

While Google hasn’t launched any algorithmic updates related to site reputation abuse, the manual actions have publishers on high alert.

Those who rely heavily on sponsored content or partner posts to drive traffic should audit their sites and remove any potential policy violations.

Sullivan’s confirmation that algorithmic changes haven’t occurred may provide temporary relief.

Additionally, his statements also serve as a reminder that significant ranking fluctuations can happen at any time due to various factors, not just specific policy rollouts.


FAQ

Will Google’s future algorithmic actions impact entire websites or specific content?

When Google eventually rolls out algorithmic actions for site reputation abuse, these actions will target specific content rather than the entire website.

This means that if certain pages are found to be in violation, only those pages will be affected, allowing other parts of the site to continue ranking normally.

What should publishers and SEOs do in light of Google’s site reputation abuse policy?

Publishers and SEO professionals should audit their sites to identify and remove any content that may violate Google’s site reputation abuse policy.

This includes sponsored posts and partner content that doesn’t align with the site’s primary purpose. Taking these steps can mitigate the risk of manual penalties from Google.

What is the context of the recent traffic drops seen in the SEO community?

Google claims the recent drops for coupon sites aren’t linked to any algorithmic actions for site reputation abuse. Traffic fluctuations can occur for various reasons and aren’t always linked to a specific algorithm update.


Featured Image: sockagphoto/Shutterstock



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WP Rocket WordPress Plugin Now Optimizes LCP Core Web Vitals Metric

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WP Rocket WordPress Plugin Now Optimizes LCP Core Web Vitals Metric

WP Rocket, the WordPress page speed performance plugin, just announced the release of a new version that will help publishers optimize for Largest Contentful Paint (LCP), an important Core Web Vitals metric.

Large Contentful Paint (LCP)

LCP is a page speed metric that’s designed to show how fast it takes for a user to perceive that the page is loaded and read to be interacted with. This metric measures the time it takes for the main content elements has fully loaded. This gives an idea of how usable a webpage is. The faster the LCP the better the user experience will be.

WP Rocket 3.16

WP Rocket is a caching plugin that helps a site perform faster. The way page caching generally works is that the website will store frequently accessed webpages and resources so that when someone visits the page the website doesn’t have to fetch the data from the database, which takes time, but instead will serve the webpage from the cache. This is super important when a website has a lot of site visitors because that can use a lot of server resources to fetch and build the same website over and over for every visitor.

The lastest version of WP Rocket (3.16) now contains Automatic LCP optimization, which means that it will optimize the on-page elements from the main content so that they are served first thereby raising the LCP scores and providing a better user experience.

Because it’s automatic there’s really nothing to fiddle around with or fine tune.

According to WP Rocket:

  • Automatic LCP Optimization: Optimizes the Largest Contentful Paint, a critical metric for website speed, automatically enhancing overall PageSpeed scores.
  • Smart Management of Above-the-Fold Images: Automatically detects and prioritizes critical above-the-fold images, loading them immediately to improve user experience and performance metrics.

All new functionalities operate seamlessly in the background, requiring no direct intervention from the user. Upon installing or upgrading to WP Rocket 3.16, these optimizations are automatically enabled, though customization options remain accessible for those who prefer manual control.”

Read the official announcement:

WP Rocket 3.16: Improving LCP and PageSpeed Score Automatically

Featured Image by Shutterstock/ICONMAN66

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Optimizing Interaction To Next Paint: A Step-By-Step Guide

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Optimizing Interaction To Next Paint: A Step-By-Step Guide

This post was sponsored by DebugBear. The opinions expressed in this article are the sponsor’s own.

Keeping your website fast is important for user experience and SEO.

The Core Web Vitals initiative by Google provides a set of metrics to help you understand the performance of your website.

The three Core Web Vitals metrics are:

This post focuses on the recently introduced INP metric and what you can do to improve it.

How Is Interaction To Next Paint Measured?

INP measures how quickly your website responds to user interactions – for example, a click on a button. More specifically, INP measures the time in milliseconds between the user input and when the browser has finished processing the interaction and is ready to display any visual updates on the page.

Your website needs to complete this process in under 200 milliseconds to get a “Good” score. Values over half a second are considered “Poor”. A poor score in a Core Web Vitals metric can negatively impact your search engine rankings.

Google collects INP data from real visitors on your website as part of the Chrome User Experience Report (CrUX). This CrUX data is what ultimately impacts rankings.

Image created by DebugBear, May 2024

How To Identify & Fix Slow INP Times

The factors causing poor Interaction to Next Paint can often be complex and hard to figure out. Follow this step-by-step guide to understand slow interactions on your website and find potential optimizations.

1. How To Identify A Page With Slow INP Times

Different pages on your website will have different Core Web Vitals scores. So you need to identify a slow page and then investigate what’s causing it to be slow.

Using Google Search Console

One easy way to check your INP scores is using the Core Web Vitals section in Google Search Console, which reports data based on the Google CrUX data we’ve discussed before.

By default, page URLs are grouped into URL groups that cover many different pages. Be careful here – not all pages might have the problem that Google is reporting. Instead, click on each URL group to see if URL-specific data is available for some pages and then focus on those.

1716368164 358 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of Google Search Console, May 2024

Using A Real-User Monitoring (RUM) Service

Google won’t report Core Web Vitals data for every page on your website, and it only provides the raw measurements without any details to help you understand and fix the issues. To get that you can use a real-user monitoring tool like DebugBear.

Real-user monitoring works by installing an analytics snippet on your website that measures how fast your website is for your visitors. Once that’s set up you’ll have access to an Interaction to Next Paint dashboard like this:

1716368164 404 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear Interaction to Next Paint dashboard, May 2024

You can identify pages you want to optimize in the list, hover over the URL, and click the funnel icon to look at data for that specific page only.

1716368164 975 Optimizing Interaction To Next Paint A Step By Step GuideImage created by DebugBear, May 2024

2. Figure Out What Element Interactions Are Slow

Different visitors on the same page will have different experiences. A lot of that depends on how they interact with the page: if they click on a background image there’s no risk of the page suddenly freezing, but if they click on a button that starts some heavy processing then that’s more likely. And users in that second scenario will experience much higher INP.

To help with that, RUM data provides a breakdown of what page elements users interacted with and how big the interaction delays were.

1716368164 348 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP Elements view, May 2024

The screenshot above shows different INP interactions sorted by how frequent these user interactions are. To make optimizations as easy as possible you’ll want to focus on a slow interaction that affects many users.

In DebugBear, you can click on the page element to add it to your filters and continue your investigation.

3. Identify What INP Component Contributes The Most To Slow Interactions

INP delays can be broken down into three different components:

  • Input Delay: Background code that blocks the interaction from being processed.
  • Processing Time: The time spent directly handling the interaction.
  • Presentation Delay: Displaying the visual updates to the screen.

You should focus on which INP component is the biggest contributor to the slow INP time, and ensure you keep that in mind during your investigation.

1716368164 193 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP Components, May 2024

In this scenario, Processing Time is the biggest contributor to the slow INP time for the set of pages you’re looking at, but you need to dig deeper to understand why.

High processing time indicates that there is code intercepting the user interaction and running slow performing code. If instead you saw a high input delay, that suggests that there are background tasks blocking the interaction from being processed, for example due to third-party scripts.

4. Check Which Scripts Are Contributing To Slow INP

Sometimes browsers report specific scripts that are contributing to a slow interaction. Your website likely contains both first-party and third-party scripts, both of which can contribute to slow INP times.

A RUM tool like DebugBear can collect and surface this data. The main thing you want to look at is whether you mostly see your own website code or code from third parties.

1716368164 369 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Primary Script Domain Grouping in DebugBear, May 2024

Tip: When you see a script, or source code function marked as “N/A”, this can indicate that the script comes from a different origin and has additional security restrictions that prevent RUM tools from capturing more detailed information.

This now begins to tell a story: it appears that analytics/third-party scripts are the biggest contributors to the slow INP times.

5. Identify Why Those Scripts Are Running

At this point, you now have a strong suspicion that most of the INP delay, at least on the pages and elements you’re looking at, is due to third-party scripts. But how can you tell whether those are general tracking scripts or if they actually have a role in handling the interaction?

DebugBear offers a breakdown that helps see why the code is running, called the INP Primary Script Invoker breakdown. That’s a bit of a mouthful – multiple different scripts can be involved in slowing down an interaction, and here you just see the biggest contributor. The “Invoker” is just a value that the browser reports about what caused this code to run.

1716368165 263 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Primary Script Invoker Grouping in DebugBear, May 2024

The following invoker names are examples of page-wide event handlers:

  • onclick
  • onmousedown
  • onpointerup

You can see those a lot in the screenshot above, which tells you that the analytics script is tracking clicks anywhere on the page.

In contrast, if you saw invoker names like these that would indicate event handlers for a specific element on the page:

  • .load_more.onclick
  • #logo.onclick

6. Review Specific Page Views

A lot of the data you’ve seen so far is aggregated. It’s now time to look at the individual INP events, to form a definitive conclusion about what’s causing slow INP in this example.

Real user monitoring tools like DebugBear generally offer a way to review specific user experiences. For example, you can see what browser they used, how big their screen is, and what element led to the slowest interaction.

1716368165 545 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of a Page View in DebugBear Real User Monitoring, May 2024

As mentioned before, multiple scripts can contribute to overall slow INP. The INP Scripts section shows you the scripts that were run during the INP interaction:

1716368165 981 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear INP script breakdown, May 2024

You can review each of these scripts in more detail to understand why they run and what’s causing them to take longer to finish.

7. Use The DevTools Profiler For More Information

Real user monitoring tools have access to a lot of data, but for performance and security reasons they can access nowhere near all the available data. That’s why it’s a good idea to also use Chrome DevTools to measure your page performance.

To debug INP in DevTools you can measure how the browser processes one of the slow interactions you’ve identified before. DevTools then shows you exactly how the browser is spending its time handling the interaction.

1716368165 526 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of a performance profile in Chrome DevTools, May 2024

How You Might Resolve This Issue

In this example, you or your development team could resolve this issue by:

  • Working with the third-party script provider to optimize their script.
  • Removing the script if it is not essential to the website, or finding an alternative provider.
  • Adjusting how your own code interacts with the script

How To Investigate High Input Delay

In the previous example most of the INP time was spent running code in response to the interaction. But often the browser is already busy running other code when a user interaction happens. When investigating the INP components you’ll then see a high input delay value.

This can happen for various reasons, for example:

  • The user interacted with the website while it was still loading.
  • A scheduled task is running on the page, for example an ongoing animation.
  • The page is loading and rendering new content.

To understand what’s happening, you can review the invoker name and the INP scripts section of individual user experiences.

1716368165 86 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the INP Component breakdown within DebugBear, May 2024

In this screenshot, you can see that a timer is running code that coincides with the start of a user interaction.

The script can be opened to reveal the exact code that is run:

1716368165 114 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of INP script details in DebugBear, May 2024

The source code shown in the previous screenshot comes from a third-party user tracking script that is running on the page.

At this stage, you and your development team can continue with the INP workflow presented earlier in this article. For example, debugging with browser DevTools or contacting the third-party provider for support.

How To Investigate High Presentation Delay

Presentation delay tends to be more difficult to debug than input delay or processing time. Often it’s caused by browser behavior rather than a specific script. But as before, you still start by identifying a specific page and a specific interaction.

You can see an example interaction with high presentation delay here:

1716368165 665 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the an interaction with high presentation delay, May 2024

You see that this happens when the user enters text into a form field. In this example, many visitors pasted large amounts of text that the browser had to process.

Here the fix was to delay the processing, show a “Waiting…” message to the user, and then complete the processing later on. You can see how the INP score improves from May 3:

1716368165 845 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of an Interaction to Next Paint timeline in DebugBear, May 2024

Get The Data You Need To Improve Interaction To Next Paint

Setting up real user monitoring helps you understand how users experience your website and what you can do to improve it. Try DebugBear now by signing up for a free 14-day trial.

1716368165 494 Optimizing Interaction To Next Paint A Step By Step GuideScreenshot of the DebugBear Core Web Vitals dashboard, May 2024

Google’s CrUX data is aggregated over a 28-day period, which means that it’ll take a while before you notice a regression. With real-user monitoring you can see the impact of website changes right away and get alerted automatically when there’s a big change.

DebugBear monitors lab data, CrUX data, and real user data. That way you have all the data you need to optimize your Core Web Vitals in one place.

This article has been sponsored by DebugBear, and the views presented herein represent the sponsor’s perspective.

Ready to start optimizing your website? Sign up for DebugBear and get the data you need to deliver great user experiences.


Image Credits

Featured Image: Image by Redesign.co. Used with permission.

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