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Optimize Google’s new Interaction to Next Paint metric

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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.

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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.1684503286 240 Optimize Googles new Interaction to Next Paint metric

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:

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  • 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.

1684503286 626 Optimize Googles new Interaction to Next Paint metric

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.

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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.

1684503286 301 Optimize Googles new Interaction to Next Paint metric

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.

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Google Declares It The “Gemini Era” As Revenue Grows 15%

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A person holding a smartphone displaying the Google Gemini Era logo, with a blurred background of stock market charts.

Alphabet Inc., Google’s parent company, announced its first quarter 2024 financial results today.

While Google reported double-digit growth in key revenue areas, the focus was on its AI developments, dubbed the “Gemini era” by CEO Sundar Pichai.

The Numbers: 15% Revenue Growth, Operating Margins Expand

Alphabet reported Q1 revenues of $80.5 billion, a 15% increase year-over-year, exceeding Wall Street’s projections.

Net income was $23.7 billion, with diluted earnings per share of $1.89. Operating margins expanded to 32%, up from 25% in the prior year.

Ruth Porat, Alphabet’s President and CFO, stated:

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“Our strong financial results reflect revenue strength across the company and ongoing efforts to durably reengineer our cost base.”

Google’s core advertising units, such as Search and YouTube, drove growth. Google advertising revenues hit $61.7 billion for the quarter.

The Cloud division also maintained momentum, with revenues of $9.6 billion, up 28% year-over-year.

Pichai highlighted that YouTube and Cloud are expected to exit 2024 at a combined $100 billion annual revenue run rate.

Generative AI Integration in Search

Google experimented with AI-powered features in Search Labs before recently introducing AI overviews into the main search results page.

Regarding the gradual rollout, Pichai states:

“We are being measured in how we do this, focusing on areas where gen AI can improve the Search experience, while also prioritizing traffic to websites and merchants.”

Pichai reports that Google’s generative AI features have answered over a billion queries already:

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“We’ve already served billions of queries with our generative AI features. It’s enabling people to access new information, to ask questions in new ways, and to ask more complex questions.”

Google reports increased Search usage and user satisfaction among those interacting with the new AI overview results.

The company also highlighted its “Circle to Search” feature on Android, which allows users to circle objects on their screen or in videos to get instant AI-powered answers via Google Lens.

Reorganizing For The “Gemini Era”

As part of the AI roadmap, Alphabet is consolidating all teams building AI models under the Google DeepMind umbrella.

Pichai revealed that, through hardware and software improvements, the company has reduced machine costs associated with its generative AI search results by 80% over the past year.

He states:

“Our data centers are some of the most high-performing, secure, reliable and efficient in the world. We’ve developed new AI models and algorithms that are more than one hundred times more efficient than they were 18 months ago.

How Will Google Make Money With AI?

Alphabet sees opportunities to monetize AI through its advertising products, Cloud offerings, and subscription services.

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Google is integrating Gemini into ad products like Performance Max. The company’s Cloud division is bringing “the best of Google AI” to enterprise customers worldwide.

Google One, the company’s subscription service, surpassed 100 million paid subscribers in Q1 and introduced a new premium plan featuring advanced generative AI capabilities powered by Gemini models.

Future Outlook

Pichai outlined six key advantages positioning Alphabet to lead the “next wave of AI innovation”:

  1. Research leadership in AI breakthroughs like the multimodal Gemini model
  2. Robust AI infrastructure and custom TPU chips
  3. Integrating generative AI into Search to enhance the user experience
  4. A global product footprint reaching billions
  5. Streamlined teams and improved execution velocity
  6. Multiple revenue streams to monetize AI through advertising and cloud

With upcoming events like Google I/O and Google Marketing Live, the company is expected to share further updates on its AI initiatives and product roadmap.


Featured Image: Sergei Elagin/Shutterstock

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brightonSEO Live Blog

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brightonSEO Live Blog

Hello everyone. It’s April again, so I’m back in Brighton for another two days of sun, sea, and SEO!

Being the introvert I am, my idea of fun isn’t hanging around our booth all day explaining we’ve run out of t-shirts (seriously, you need to be fast if you want swag!). So I decided to do something useful and live-blog the event instead.

Follow below for talk takeaways and (very) mildly humorous commentary. 

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Google Further Postpones Third-Party Cookie Deprecation In Chrome

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Close-up of a document with a grid and a red stamp that reads "delayed" over the word "status" due to Chrome's deprecation of third-party cookies.

Google has again delayed its plan to phase out third-party cookies in the Chrome web browser. The latest postponement comes after ongoing challenges in reconciling feedback from industry stakeholders and regulators.

The announcement was made in Google and the UK’s Competition and Markets Authority (CMA) joint quarterly report on the Privacy Sandbox initiative, scheduled for release on April 26.

Chrome’s Third-Party Cookie Phaseout Pushed To 2025

Google states it “will not complete third-party cookie deprecation during the second half of Q4” this year as planned.

Instead, the tech giant aims to begin deprecating third-party cookies in Chrome “starting early next year,” assuming an agreement can be reached with the CMA and the UK’s Information Commissioner’s Office (ICO).

The statement reads:

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“We recognize that there are ongoing challenges related to reconciling divergent feedback from the industry, regulators and developers, and will continue to engage closely with the entire ecosystem. It’s also critical that the CMA has sufficient time to review all evidence, including results from industry tests, which the CMA has asked market participants to provide by the end of June.”

Continued Engagement With Regulators

Google reiterated its commitment to “engaging closely with the CMA and ICO” throughout the process and hopes to conclude discussions this year.

This marks the third delay to Google’s plan to deprecate third-party cookies, initially aiming for a Q3 2023 phaseout before pushing it back to late 2024.

The postponements reflect the challenges in transitioning away from cross-site user tracking while balancing privacy and advertiser interests.

Transition Period & Impact

In January, Chrome began restricting third-party cookie access for 1% of users globally. This percentage was expected to gradually increase until 100% of users were covered by Q3 2024.

However, the latest delay gives websites and services more time to migrate away from third-party cookie dependencies through Google’s limited “deprecation trials” program.

The trials offer temporary cookie access extensions until December 27, 2024, for non-advertising use cases that can demonstrate direct user impact and functional breakage.

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While easing the transition, the trials have strict eligibility rules. Advertising-related services are ineligible, and origins matching known ad-related domains are rejected.

Google states the program aims to address functional issues rather than relieve general data collection inconveniences.

Publisher & Advertiser Implications

The repeated delays highlight the potential disruption for digital publishers and advertisers relying on third-party cookie tracking.

Industry groups have raised concerns that restricting cross-site tracking could push websites toward more opaque privacy-invasive practices.

However, privacy advocates view the phaseout as crucial in preventing covert user profiling across the web.

With the latest postponement, all parties have more time to prepare for the eventual loss of third-party cookies and adopt Google’s proposed Privacy Sandbox APIs as replacements.

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Featured Image: Novikov Aleksey/Shutterstock

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