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Defining Zero-Party, First-Party, Second-Party, and Third-Party Data

Customer data is essential to understand your audience's pain points, needs, and interests. Relying on customer insights is the foundation of a successful business, and the equivalent of holding a map to a treasure chest — follow the dotted line to victory. There are many variations when it comes to customer data, and in this article we define and explain the differences between data types to help you decide on the best one for your business.

data types infographic defining zero-party, first-party, second-party, and third-party data

What Is Zero-Party Data?

Zero-party data is when individuals voluntarily share their preferences, interests, and personal information with a business. Unlike other types of data, zero-party data is given intentionally. Companies can use zero-party data to determine what the customer wants from the brand. Brands can collect zero-party data through interactive experiences, surveys, quizzes, or selected user preferences.

Examples of Zero-Party Data Collection

There are many ways businesses can collect zero-party data. Below are some examples of zero-party data collection:

  • Online surveys or questionnaires
  • Customers providing information about their preferences and demographics
  • Quizzes or assessments
  • Individuals offering details about their likes and interests

Benefits and Uses of Zero-Party Data

Businesses can build trust and foster a transparent relationship by giving individuals control over their data. Zero-party data offers users a more personalized and tailored experience to receive recommendations, content, and offers that align with their browsing/buying intentions.

Zero-party data helps businesses create targeted marketing campaigns. These campaigns deliver relevant products and content that resonates with their audiences' needs. It eliminates irrelevant information while boosting customer engagement, loyalty, and satisfaction.

What Is First-Party Data?

First-party data is information gathered directly from individuals interacting with a company or brand. This data is typically collected through websites, mobile apps, or offline interactions. First-party data is considered the most valuable data to help businesses better understand their customers. Companies make data-driven decisions about customer behavior, preferences, and purchasing patterns by analyzing first-party data to improve their marketing performance.

Examples of First-Party Data Collection

There are methods businesses can implement to collect first-party data. Some of those methods include:

  • Adding tracking pixels to your website or mobile apps
  • Collecting information through selective offers, discounts, or exclusive content
  • Data collection forms that request name, email addresses, location, occupation, or birthdate
  • Customer surveys

Benefits and Uses of First-Party Data

After collecting first-party data, businesses can leverage it for personalized marketing campaigns. Companies can segment their audience and provide content that users want or value based on their browsing/buying behavior. By properly using first-party data, businesses can connect with their customers and deliver messages that encourage repeat business and customer loyalty.

What Is Second-Party Data, and How Does It Differ From First-Party Data?

Second-party data is customer information gathered by one company and shared with another for mutual advantage. Unlike first-party data, collected directly from individuals and their browsing/buying behaviors, second-party data is the same as first-party data, except it is obtained from an outside trusted partner or source. Second-party data allows businesses to reach a larger audience. It is often shared through partnerships, data marketplaces, or purchased from external sources.

Second-party data is helpful for businesses in similar industries that want to expand their data metrics and customer reach. It is a cost-effective way to access more data while managing your resources.

Examples of Second-Party Data Collection

Second-party data is first-party data from an outside source. There are several ways to obtain second-party data, including:

  • Business partnerships
  • Data management platforms (DMPs)
  • Customer data platforms (CDPs)
  • Data exchanges

Benefits and Uses of Second-Party Data

Leveraging these platforms allows businesses to aggregate data from multiple sources and create a unified view of their customers.

What Is Third-Party Data?

Third-party data is information gathered from multiple sources not affiliated with a company. This data is typically purchased from providers who collect and sell data. Third-party data helps you gain insights about your audience, including demographics, purchase history, and online behavior.

Examples of Third-Party Data Collection

Like first-party and second-party data, third-party data utilizes surveys, browsing cookies, data forms, and more to collect customer information. Businesses can source third-party data suppliers and purchase this information for a broader customer base. It improves online advertising, ad targeting, market research, and trend analysis for better campaign marketing and relevance.

Drawbacks of Using Third-Party Data

While third-party data offers many benefits, it is essential to consider the potential drawbacks:

  • Lack of Data Control: Since external sources collect and manage third-party data, businesses have limited control over its accuracy and reliability.
  • Data Privacy Breach: The risk of data breaches or misuse can have severe implications for customer data privacy and security.
  • Relevance: Third-party data may not always be as relevant or up to date as first-party or second-party data. Businesses should be careful about the quality and relevance of third-party data before using it in their decision-making processes.

Stay Ahead of Competitors With RebelMouse Data Tools

RebelMouse helps businesses leverage first-party data insights to retain customers and stay competitive. You can access immediate customer insights through our analytics tools for more actionable and relevant targeting. Our data tools are easy to use and comprehend regardless of tech or web analytics experience.

Only ever market with a plan. Let's start collaborating to guarantee your content is supported by data that drives organic growth, engagement, and conversions. To get started, request a demo today.

7 Pivotal Steps to Crafting a First-Party Data Strategy

If you want to learn how to create a first-party data strategy for your business, you've come to the right place. Third-party browsing cookies are officially leaving the building as Google's Privacy Sandbox will turn off all third-party cookies in Chrome in 2024 to strengthen online security and protect private user information.

What is a first-party data strategy, and how do you successfully implement it? In this guide, you will learn how to build an effective first-party data strategy that amplifies your business and efficiency.

first-party data strategy definition

What Is a First-Party Data Strategy, and How Do You Use It?

A first-party data strategy gathers consumer information to develop a personalized experience that satisfies customer needs and preferences while boosting marketing efforts. Think of it like directly approaching your customers and asking them what they prefer to see when visiting your website.

How to Collect First-Party Data

The best way to collect first-party data is by tracking user behavior. To do this, site owners can embed a tracking pixel into their site’s HTML code which will collect data about user interactions and track customer behavior patterns across multiple sites and apps. Anytime someone lands on your page, engages with a post, makes a purchase, or exits a page, the tracking pixel gathers all this information.

Examples of first-party tracking pixels include:

  • Conversion Pixels: Conversion pixels track ad sales and conversions from marketing campaigns. If you want to know the conversion rate or ROI from a sales, marketing, or social media promotion, use a conversion pixel.
  • Retargeting Pixels: Retargeting pixels concentrate on website visitor behavior. The pixels detect a customer's browsing activity each time they arrive on a page and click a product to gather more information about them. By concentrating on visitors who have already visited the site and focusing on their interests to generate repeat business, these pixels assist website owners in improving the user experience.

First-party data is beneficial for the following:

  • Increasing customer loyalty and engagement
  • Improving brand trust and marketing performance
  • Raising user retention and building stronger customer relationships
  • Nurturing long-term business growth

first-party data statistics

First-Party Data Statistics

  • 73% of consumers say a good experience is key in influencing their brand loyalties. (Forbes)
  • 37% of business owners claim their brands use first-party data to personalize customer experience. (Statistica)
  • 65% of survey respondents shared plans to increase their focus on first-party data to mitigate the loss of customer insight.(Deloitte)

First-Party Data User-Focused Marketing Examples

Below are some effective marketing examples for utilizing first-party data:

  • Surveys: Surveys deliver user feedback about their online experience and preferences.
  • Sign-Up Forms: Sign-up forms bridge your products and services to your customers' interests. Users can input their name, email address, occupation, and other valuable information to help your business align with their needs.
  • Demographics: Collecting demographic information like age, gender, location, and income helps to identify your target market.
  • Purchased Products: Customer purchase history offers insights into product preferences.
  • Mobile Apps: You can track how long users spend on your apps to learn about their buying tendencies.
  • Website Analytics Tools: Brands that utilize analytics tools like Google Analytics can collect massive amounts of customer data to analyze their pages and use these results later for targeted marketing campaigns.
  • Email Subscriptions: Companies use email subscriptions to segment their audiences and monitor user intent through open and click-through rates.
  • Social Media: Shares, comments, likes, and followers demonstrate what content your users find most relevant to their queries.
  • Paid Ads: Ad targeting is an effective way to personalize your content and place it in front of a larger audience.

A successful first-party data strategy requires more than collecting customer data. Businesses must gather, store, and analyze their first-party data to understand audience behavior and use these insights to improve marketing performance and deliver more customer value.

first-party data marketing strategy

Step 1: Set Up Business Goals for Your First-Party Data Strategy

It's essential to get a clear understanding of your business goals. Start with short-term objectives to prioritize where to send your first-party data efforts. Here are some ways to use your first-party data:

  • Create a segmentation campaign for ad targeting.
  • Send personalized offerings and discounts to increase product purchases.
  • Automate tasks to handle more customer queries.
  • Develop a cross-channel marketing sequence to match consumer-buying patterns.

Defining clear business goals will guide your data collection and analysis to meet your objectives and drive your business forward.

Step 2: Create a Buyer Journey Layout

First-party data helps to anticipate what buyers are searching for. Think of the buyer journey as a trail of virtual breadcrumbs a user leaves when visiting your site. These breadcrumbs lead you directly to your customers’ interests.

To create a buyer journey using first-party data, follow these steps:

  • Develop a Buyer Persona: Consider who you would want as your perfect customer and create a buyer persona for them. Write their potential hobbies, income, dislikes, and interests.
  • Target Your Buyer: Focus on your buyer’s browsing habits when visiting your site. What are they looking for? What are some of their concerns that need solving?
  • Monitor Their Stops: Did the customer leave items in their shopping cart? Did they add a new review? Observe how the customer engages with your brand and moves through the funnel.
  • Identify Customer Pain Points: Use first-party data to determine your customers' biggest problems and work to be their number one problem solver.
  • Testing: Now that you understand what your customers need, you can use testing methods to see what users respond to more often. Sending out an email with two different headlines is an effective way to identify what message resonates most with your audience.

Step 3: Determine Your Ideal Market

Knowing your target audience is crucial for a successful first-party data strategy. Who are you trying to reach with your marketing efforts? By understanding your target audience, you can collect relevant data to maintain customer loyalty and deliver personalized marketing campaigns.

Step 4: Manage Your First-Party Data

Raw data alone is insufficient for an effective strategy; managing first-party data involves storing, organizing, and protecting it. This requires a management system that ensures your data is easily accessible, secure, and compliant with privacy regulations. Some ways to manage first-party data include:

  • Customer relationship management (CRM) software
  • Updating or removing old or outdated data
  • Analytics tools
  • Marketing automation

Step 5: Track and Measure Your First-Party Data Results

By regularly analyzing your data, you can identify trends and patterns, gain insights into customer behavior, and make informed decisions about your marketing efforts. Key performance indicators (KPIs) like bounce rate, conversion rate, ad revenue, and page performance all contribute to a successful first-party data strategy.

Pick 1–3 KPIs to track and manage over several months to evaluate the effectiveness of your first-party data strategies.

Step 6: First-Party Data Integration Tools

Integration tools like lead generation forms or AI task automations allow you to effectively collect, analyze, and cross-reference your data across multiple channels. Choosing tools that fit your business operations, will enhance your data strategy and prepare you for success.

Step 7: Maintain Customer Trust

Customer trust is the foundation of a successful business. Brands that place the user first reap the rewards of trustworthiness and customer loyalty. First-party data is about understanding your target customers and appealing to their needs. Caring for them builds a positive reputation that increases customer retention, value, and satisfaction.

Master First-Party Data With RebelMouse

RebelMouse pushes the boundaries of a standard content management system (CMS). With our AI-powered technology, we equip our users with a next-generation content platform that unlocks new opportunities for growth, content ideation, and revolutionary marketing.

Request a demo of RebelMouse to discover how first-party data can bridge the gaps in your business, amplify your growth, and bolster your digital strategy for the future. We help you construct your first-party data strategy from beginning to end, and we maintain all CMS upgrades so that you can focus on what matters most to your business.

Fuel Your Business Growth Strategy With Google News

Purpose of This Article

This article aims to help you understand how to leverage Google News and Google Publisher Center for your business growth strategy. Expanding your content to Google News puts your industry materials in front of a larger audience and builds your reputation as an authoritative figure in your industry. Read further to learn about elevating your business and publishing through Google News.


Staying up to date with the latest news is crucial for businesses in this digital world. Google News has developed into the crème de la crème (best of the best) of all platforms offering personalized news updates from various content sources. Without a Google News account, business owners miss out on significant traffic that may increase brand awareness and revenue.

Not only does Google News receive close to 400 million visitors monthly, but it is also ranked #7 in the U.S.’s top 10 news publications! Learning how to harness the power of Google News can supercharge your business growth and give you a competitive edge in the market.

Leveraging Google News for Your Business Growth Strategy

The first barrier to business owners posting information to Google News is their misconception that the service is only for major publications or media organizations. Whether news stories or not, if you continuously offer relevant, current, qualified, engaging, and fresh information, Google News will view you as a certified publisher dropping valuable nuggets in your industry.

Below are the key benefits of using Google News for business:

  • Access to a billion-user audience base.
  • Increased visibility and brand exposure.
  • Google News provides a targeted audience and puts your content in front of relevant consumers.
  • Optimized Google News articles for highly interested readers mean increased subscriber conversions for your brand.

Google News Does Not Prioritize Big Media Publications

You heard right! For all content creators, Google News creates an even playing field. Contrary to traditional media sites, getting high-ranking articles can be done without working for a major media organization like Fox or The New York Times. Your material may rank among the top results against tough competition if it matches a user's search query and meets Google's quality content requirements.

How Google News Selects and Ranks News Articles

Google News uses a sophisticated algorithm to select and rank news articles. For example, Google takes the following factors into account before ranking an article:

  • Relevance: How closely the content matches what the user is searching for.
  • Freshness: Google prioritizes the content's timeliness for some industries to provide the most recent information.
  • User Location: Location is crucial for user searches with a local focus.
  • User Preferences: Google appeals to a user's interests, whether they're searching for products, services, or valuable information.
  • Settings: For ranking, personalization is essential. Google News emphasizes stories covering "for you, topics, sources, and locations" areas.

Aside from these mentioned factors, there are many ways to get the most out of Google News to advance your business growth strategy. Recently, Google News Producer and Google News Publisher Center merged to form Publisher Center. To set up your Publisher account and begin receiving traffic follow this guide.

Google News Publisher Tips: How to Get Featured on Google News

To increase your chances of getting featured on Google News, you should focus on the following:

  1. Producing high-quality, original content that provides value to your audience.
  2. Regularly updating your website with fresh news articles.
  3. Optimizing your headlines and meta tags to boost your visibility.
  4. Visiting Google Trends to discover what is popular and where your business fits.
  5. Creating custom URL slugs with the search terms you want to rank for.
  6. Monitoring and analyzing data from Google News Publisher Center to make data-driven decisions.
  7. Incorporating multimedia elements such as images and videos to enhance the user experience.
  8. Submitting a sitemap to increase the chances of getting picked up and ranked.

For more information about RebelMouse’s sitemaps, click here.

how to get featured on google news infographic

How to Get Your Website Approved by Google Publisher Center

To avoid spreading misinformation, Google Publisher Center approves all submissions and verifies your account before evaluating and indexing your articles. To verify ownership of your website, you must follow these guidelines:

  1. Set up a Google Search Console account. By doing this, Google can ensure you own your website and authorize access to private data.
  2. Submit your website for review by providing accurate information about your publication and ensuring that it adheres to Google's publisher policies and guidelines.
  3. During the review process, Google will assess the quality and credibility of your content, the transparency of your website, and your compliance with their policies. If your website meets the criteria, it will be approved, and your articles can appear on Google News.

Google News Publisher Policies and Guidelines

Publishers must abide by specific Google policies and guidelines to keep their presence on Google News. These regulations cover various topics, including user experience, transparency, copyright, and content quality. If you violate these rules, Google News may remove your website from inclusion, reducing your visibility and growth prospects.

Simplify Google Publisher Center Management With RebelMouse

RebelMouse helps you navigate Google Publisher Center's complexity quickly and easily. Keeping up with trends, algorithm changes, and fresh content can be challenging. Utilize a secure content management system that can adjust to Google's frequent algorithm and product changes to stay on top of your content and workflow.

We've developed a highly automated method using RebelMouse's AI-powered CMS to help you streamline your content across all key platforms, including Facebook, Google News, Apple News, and more. Let us manage, improve, and elevate your resources so that you can focus less on marketing and more on your company.

Request a demo today and get traffic seamlessly flowing to your business.

Rebel Insights

Revolutionizing Publishing With First-Party Data and AI

Publishers have been aware for several years now that first-party data is absolutely vital to their future survival. However, it can be difficult to effectively harness first-party data in a meaningful and scalable way that drives positive impacts on traffic and revenue.

Quick Catchup: Third-party data refers to information collected and aggregated by entities other than the company or organization directly interacting with users. It’s data collected from external sources, typically by third-party providers, who gather information from various channels such as websites, social media, public records, and more.

This is different from first-party data, which is collected directly from a company's own customers or website visitors. This data is often used by businesses, marketers, advertisers, and other organizations to supplement their own data, enabling them to gain insights into broader audience segments, target specific demographics, and improve ad targeting.

At RebelMouse, our core mission is to deliver an AI-enabled, cutting-edge CMS alongside decades of digital experience to ensure that our clients always stay ahead of the curve. To keep this momentum going, we’ve spent the past year allocating significant resources to research and develop new solutions that yield tremendous results for first-party data.

Additionally, since 2022, RebelMouse has also invested heavily in research and development around AI technologies. Leveraging OpenAI and Google Vertex AI, we have become expert AI integrators. This has been critical to keeping our clients modern in an ever-evolving tech landscape. The breakthroughs in this space, combined with our approach to first-party data, have been essential to the groundbreaking results we’ve achieved.

Our focus on first-party data is centered around two major initiatives:

  • Increase programmatic ad revenue.
  • Increase site engagement and return visits.

Increase Programmatic Ad Revenue Through First-Party Data

The key to our approach to increase programmatic revenue through first-party data is a deep understanding of both editorial content and digital advertising. Advertising technology partners have long been focused on their own world, and are often far from understanding how editorial teams develop and execute proper workflows. Because of this, technology solutions for editorial teams have largely existed completely outside of ad tech.

From the start, RebelMouse’s DNA has been focused on bringing together editorial, product, and ad tech teams to unify solutions and create incredible leverage. This approach is a key differentiator for our solutions, and the reason we’re making breakthroughs that the rest of the industry is missing.

Thanks to our innovative AI integrations, RebelMouse aligns editorial content with programmatic buyers' taxonomies. Additionally, we harness psychographic data that complements both direct sales and programmatic efforts. This powerful combination not only enhances revenue on the initial user visit, but also leads to substantial increases in CPM upon return visits. As visitor loyalty grows with frequent returns, the revenue potential continues to rise.

Our integrated AI solutions also match editorial content without bothering editors with new steps that they don’t understand. Instead, we’re able to give editors insights and tips through smart learning that enhances their own knowledge of their target audience.

First-Party Audience Targeting vs. Traditional Audience Targeting

Increasing Site Engagement and Return Visits Through First-Party Data

The solutions we have developed are not just useful for serving more valuable ads and increasing CPM.

We can also use this data to:

  • Personalize experiences and give better user recommendations for what to read next.
  • Enhance SEO and content recirculation for publishers with multiple sites.
    • We do this by directly linking users to relevant content across all of a publisher’s sites, irrespective of the originating site, to maximize valuable SEO gains and capitalize on trending content.
  • Give context to users on why certain content matters to them.
  • Provide personalized conversion units that align with marketing and sign-up goals.
  • Create a valuable signed-in experience for users that can generate and nurture paid memberships.

Why Publishers Are Leveraging First-Party Data Now

In July 2022, Google set a target to phase out third-party cookies by late 2024, and they continue to take steps to meet that goal. Google Ad Manager has even introduced new features to assist publishers with managing their first-party data while prioritizing user privacy.

But these changes shouldn’t come as a surprise. The industry has been slowly phasing out the use of third-party data for years. And now with the recent embrace of AI across the publishing space, the time has never been more critical for publishers to embrace and figure out first-party data.

AI's impact on first-party data will enhance the benefits of first-party data in numerous ways, including:

  • Better data quality, decision-making processes, and user satisfaction.
  • More efficient data collection and analysis, enhancing personalization through tailored user experiences and targeted advertising.
  • Enhanced predictive analytics to forecast user behavior.
  • Refined audience targeted with AI-driven segmentation.
  • Improved data security measures to safeguard sensitive information.
  • Improved personalized user support thanks to AI's natural language processing capabilities.

RebelMouse is more than ready to embrace the natural transition to first-party data, amplified by the advantages of the AI revolution. Now is the perfect opportunity to future-proof your website and unlock new levels of user loyalty.

Click here to discover more about RebelMouse. We can quickly help you understand how leveraging first-party data and AI will enhance and grow your business.

RebelMouse Unveils New Innovative Layout & Design Tool

The team at RebelMouse is pleased to present our newly redesigned Layout & Design Tool. After gathering ideas from our users, this rollout will improve your user experience by adding easier-to-use features and increasing your online presence to increase site traffic and visibility.

The new version has passed the trial phase with flying colors, and it is now open to all sites hosted by RebelMouse. If your team uses the tool regularly, feel free to try out the new Layout & Design Tool now. Send any feedback to

To access the open trial, log in to your RebelMouse site and use the URL below, replacing “yourdomain” with your site’s domain:

We are planning to release the new tool by September 2023. When the new version is launched, the old Layout & Design Tool will no longer be accessible. Nothing on your end needs to change because the new and existing Layout & Design Tools are fully compatible.

Below are some of the exciting changes you can expect from the new Layout & Design Tool:

  • Fully redesigned and modern-looking interface
  • Simplified and cleaner toolbar
  • Collapsible elements
  • Renewed hamburger menu
  • Keyboard shortcuts
  • New menu actions
  • Resized and maximized space for the layout builder
  • Condensed layout settings and actions in a single place
  • Highlighting of the selected A/B test
  • Upgraded code editor for search-and-replace functionality
  • Built-in command palette to search all available actions

Check out the following video for more:

Introducing the New Layout & Design Tool

If you have any questions about our new Layout & Design Tool, contact your account manager today or reach out to

How AI Can Supercharge Your SEO Strategy

Artificial intelligence (AI) has maximized content generation and automation for various industries with the release of AI chatbot systems like OpenAI’s ChatGPT and Google’s Bard. Due to AI's lightning-fast content generation and improvements, businesses are embracing its power. AI continues to advance, from seamless content optimization to providing data analysis and insights.

It is predicted that by 2030, the AI market will be worth $1 trillion. From Google incorporating AI into its algorithms to how AI influences SERPs, ranking, featured snippets, and more, AI has made its mark on the digital marketing industry. As of right now, we know how Google feels about using AI. Now, users are interested in learning how artificial intelligence affects all aspects of SEO.

Leveraging AI for Keyword Research and Optimization

Is AI-generated content good for SEO? The answer to that million-dollar question is, it depends. AI is useful for optimizing workflows and raising productivity. At the same time, AI for SEO helps businesses apply the best keywords, increase their online visibility, and adapt their content strategies to current market trends and data predictions.

Holistic SEO content varies based on how well businesses adhere to E-E-A-T standards when creating quality content. If businesses want to provide their clients with helpful information, adopting AI for SEO will raise the bar for content quality while enhancing their SERP rankings. Google is more likely to flag businesses for poor SEO if they utilize AI to mass produce material that doesn't deliver E-E-A-T value or makes consumers doubt their legitimacy.

AI-Specific Tools for Headlines, Tag Generation, and User Experience

How does AI improve SEO? There are several ways to utilize AI tools to create better headlines, add appropriate topic tags and internal links, conduct content analysis, implement relevant keywords, and support user experience. These tools include:

  • AI-Powered Tag Generation: Tags or keyword metadata are essential for ranking, organizing content, connecting related topics, and helping users quickly identify what the article is about. By integrating the correct tags, you can appropriately structure data.
  • AI-Generated Headlines: AI-generated headlines are optimized for SEO to show what users are searching for, what will catch their attention, and what is most likely to rank well in search results. You can also use A/B testing stats to find the most effective headlines.
  • AI-Enabled Websites: What better way to improve SEO and rank than a comprehensive website enabled by AI? AI-enhanced websites offer automated schema markups, structured data templates, and smart integrations with Google Analytics and Google Search Console.
  • AI Chatbots: AI chatbots encourage question-and-answer exchanges that accelerate research, respond to client inquiries, and assist with challenging questions. Users no longer have to independently search for answers because they can get one immediately, increasing conversions and satisfaction.
  • AI Image Generators and Alt Tag Optimization: With the help of AI, you can create original photographs of almost anything you want in virtually any style. The created image also includes the alt tag to get your pictures Google-approved and in front of the correct customers.
  • OpenAI Playground: Similar to ChatGPT 3.5, OpenAI Playground provides immediate content production and customizable prompt responses. You can ask it to choose appropriate internal links, or add your chosen keywords in a natural yet more Google-friendly way.

How AI Helps You Rank for SEO Keywords

How does artificial intelligence affect SEO? The AI software analyzes material to identify opportunities for improvement. Search engines utilize AI to assess user intent, find methods to make information more valuable, and provide visitors with more individualized results. Here are some examples of how AI is influencing SEO and helping businesses win across SERP results:

How I Ranked On Google In Under 8 Hours Using AI SEO

Case Studies for Sites Winning With AI-Powered Content

Large companies like Amazon, Microsoft, and Google have incorporated AI into their business operations to let customers skip the tiresome search phase and immediately get to the good stuff. At RebelMouse, we’ve already adopted an AI-powered search that can transform website search into an experience that outshines traditional search:

 ai powered content case study

Google Algorithm Updates for Evaluating Content Quality

Google adjusts its algorithms frequently to improve search results quality and user experience. Their latest Helpful Content update prioritizes pages with practical, engaging, and educational content. Thanks to AI SEO, website owners can leverage AI content insights and recommendations to produce high-quality text that suits the needs of their target audience. By utilizing AI, website owners increase their chances of appearing higher in search results and providing beneficial material.

Avoid These Unethical AI Content Practices

AI content generation increases productivity, saving users time, energy, and headspace. However, avoid these malicious or unethical practices when using AI to prevent SEO penalties and maintain a positive reputation. Here are some examples:

  • Spam and Keyword Stuffing: Keyword stuffing is the oldest trick in the book and leads to low-quality content. Avoid trying to manipulate search engine rankings and focus on serving your users.
  • False News or Incorrect Information: The drawback of AI content is finding inaccurate or unreliable information. It's crucial to fact-check every piece of information and ensure it accurately informs your audience.
  • Content Scraping: Avoid using AI bots to collect content and data from websites without permission. This is a violation of copyright policies and you could face legal consequences.
  • Black Hat SEO Techniques: AI can be used to automate black hat SEO practices, such as buying links, suspicious redirects, or fake reviews, which can result in search engine penalties.
  • AI Chatbot Misuse: Misusing AI chatbots to engage in phishing attacks, scamming users, or impersonating legitimate services to deceive people can quickly land you in hot water.

It's crucial to use AI ethically and adequately to avoid any penalties. Protecting your information from malicious software or bot trafficking is also vital. Such practices violate search engine guidelines and can lead to legal consequences and damage the reputation of individuals and organizations involved.

The Future of AI

In AI-powered entertainment, retaining authenticity, encouraging creativity, and winning over audiences depend on finding the right balance between AI and human-generated content.

  • Expected Advancements in AI-Generated Content Technology: The future holds exciting new opportunities for AI technologies. AI will continue to advance over time, providing more interesting, original, and authentic material. Search engines will improve and prioritize high-quality data with fewer search efforts for users as AI models better understand user intent and search patterns over time.
  • Outlook for AI-Generated Content in the Future: The outlook for AI-generated content is promising as more industries adopt AI into their operations. AI-powered content creation will transform how users digest content, and businesses will enhance their existing content strategies by automating routine content tasks.
  • Implications for Content Creators, Businesses, and Users: Due diligence is crucial for organizations and individuals as the use of AI grows. Producers must adjust and concentrate on unique storytelling and strategic planning to complement AI-generated content. Businesses must ensure that AI-generated content reflects their brand's voice and values, and users should occasionally conduct their research to avoid consuming false information.

Embrace the RebelMouse AI Editorial Experience Without Replatforming

RebelMouse offers AI-powered solutions that are accessible to everyone, regardless of whether you use our publishing platform. Through years of experience, we have found the bridge between syncing current CMS platforms and RebelMouse's solutions. Enhance your site with AI integrations that will engage and satisfy your users. Our team can work with you to upgrade your business.

Request a demo immediately, and we'll show you how AI can help you transform your company.

Insights Into Google's Perspective on AI-Generated Content: To Use or Not to Use?

The rise of artificial intelligence has taken industries by storm, from corporate business to the digital realm. Popular text and art generators like ChatGPT, Writesonic, and Jasper are sweeping the nation for their automation efficiency, creativity, and personalization features that make content generation effortless. Web searches for AI-related content have surged by 900% since the year 2022.

Google ai trends The Brains, Google Trends

AI software allows digital creators to maximize time and ideation output while catering to consumer demographics through advanced user interactions. As a business owner, the convenience and lightning-speed productivity allotted through AI may be too good to pass up. However, many businesses and consumers question how search engines like Google will react to AI-generated content and whether their rankings will take a nosedive.

What Is AI-Generated Content?

AI-generated content is any form of generated text, images, art, or online material produced by artificial software instead of humans. AI has a wide range of applications across various industries, and it can cover a diverse set of elements in different sectors, such as:

  • AI-Generated Content: AI analyzes user data to deliver personalized ads, create blogs and ad copy, study public opinions about products and brands, and examine user behavior to offer tailored experiences in marketing and advertising.
  • AI-Generated Software: AI can identify fraudulent transactions in the financial industry, provide trading strategies through algorithms, assess credit risk and worthiness, and handle financial customer queries through customer service chatbots.
  • AI-Generated Media: AI tailors product suggestions for users, creates music, infographics, and images, scouts user products, and offers proven strategies to generate revenue in the e-commerce and media industries.
  • AI-Generated Data and Predictions: AI offers quick and efficient insights, such as those related to medication discovery, science, and weather forecasting.

The explosion of AI is showing no signs of slowing down. Based on current AI data trends, 35% of companies are using AI, and 42% are exploring AI for its implementation in the future. By 2027, the global AI market is expected to reach $266.92 billion in gross revenue.

Click here to learn more about RebelMouse’s ChatGPT experience for websites. We use your data to create a private AI assistant tailored to your audience.

See how our AI chatbot service is taking shape for MTL Blog, powered by RebelMouse:

Meet MTL Blog’s New AI-Powered Concierge

How AI-Generated Content Impacts Search Generative Experience

With Google’s new search generative experience (SGE) rollout, AI will dominate this recent feature. Google’s new generative, AI-powered search aims to streamline the search process by giving consumers a short overview of the text needed to comprehend a specific topic. AI impacts SGE search results based on quality and significance. The blend of human-generated text alongside AI-generated content offers users a more customized, diverse, and enriching experience. To thrive in AI, companies must incorporate credibility, relevance, and authoritative context within their search results.

Google’s Standpoint on AI-Generated Content

As Google leverages new online features like AI chat responses, it’s safe to claim that Google sees AI as next-generation technology currently transforming the digital landscape. Although Google doesn’t despise the idea of AI, there are still general spamming guidelines to follow to avoid drawbacks.

Does Google Penalize AI-Generated Content?

Google’s mission is to give users the best online experience. Google’s main concern is that AI will be used as a tool for pumping out massive amounts of text for the sake of ranking instead of delivering quality content intended to help consumers.

Danny Sullivan, Google’s Public Liaison, weighed in on how Google will rank AI content, stating that AI-generated material is all right if it offers high-quality, people-first content. Google has made it clear that they will promote high-quality content no matter how it is created. They will check AI content for possible spam and misuse, but will not automatically penalize a single piece of AI-generated content or an entire website.

Key Factors Influencing Google’s Perspective

Google offers guidelines on using AI-generated content. The following are the key aspects that determine how they view online content and what constitutes a penalty:

  • Relevance: Relevant information refers to how closely a website’s content matches a search query. Providing proper text, images, videos, title tags, meta descriptions, and alt tags all cater to relevance.
  • Individuality: Originality is significant for standing out in a sea of search results. AI-generated material that seems too similar or redundant to already-existing content may be penalized for not improving search results.
  • User Interaction: If user engagement is high, Google is more likely to reward content for quality and credibility. Google assesses this through click-through rates and the amount of time users spend on sites.

Avoid Using Automation Tools to Manipulate Rankings

Automated content does not automatically equal spam. AI creation allows brands and media companies to publish helpful content for users and thoughtfully answer their queries. The main issue with using AI solely for content generation is the increased likelihood of misinformation.

If AI-generated content is used for malicious purposes, spreading false information, or manipulating search rankings, it will likely be penalized. The best way around this issue is to use AI as an extension of your content to maximize your results and satisfy search intent. Thoroughly examine and verify AI-generated content to avoid delivering false or misleading information. Following these practices will ensure positive rankings and user satisfaction.

Click here for Google’s guidelines on AI-generated content.

How AI Can Enhance E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness)

The real question is, how do you produce content that Google appreciates? Although AI improves efficiency, these tools are not foolproof. By adhering to the following guidelines, you may create content that both Google and your users will find worthwhile:

  • Recognize Your Target Demographic: Understanding your audience’s needs, desires, and pain points will help create AI-generated content that meets their criteria with a touch of human relatability.
  • Evaluate Your Content: Whether your content is AI-generated or not, employing the who, what, why, and how method to evaluate it will help you abide by Google’s guidelines. What are your readers’ main worries, why should they read your content, and how will it help them with their problems? Who are you writing for? Doing so will improve keyword searches and boost SEO rankings.
  • Fact Checking Your Content: Without fact checking, AI may produce inaccurate, misleading, and even made-up content, which could harm your reputation and search rankings. It may feel overwhelming to verify data and sources. Still, in the long term, it enables you to share trustworthy, accurate, and high-quality content with your audience while preserving the image of your company.
  • AI-Generation Transparency: Now that Google is more open to AI-generated text, be transparent about what parts of your content are AI text versus human text. Being honest about utilizing AI-generated text on your website is a great way to build trust with your audience. Aside from ethical practices, some regions require that businesses disclose the use of AI under consumer protection laws. Doing so can build trust with users and help you remain compliant with Google’s policies.

Your AI Content Needs These Four Elements to Succeed

AI is a revolutionary technology that will gain more industry traction as it improves. If you plan to use AI in your business endeavors, here are the top four things your AI content needs to thrive:

  1. Efficient Training Data: AI is a machine learning tool. The data an AI model is exposed to will shape how it learns and the quality of its information output. It’s essential to have training materials that allow AI to produce reliable, diverse, and impartial content.

  2. Reputable AI Model: The AI model must be well-built and reliable. It must handle variations in language, contextual information, and user intent. To keep the AI model current and functional, it must undergo frequent modifications and enhancements to transform your content strategies.

  3. Ethical Framework: Although AI and ethics may sound contradicting, an ethical framework is essential while developing AI content. This is where human morality and integrity come in, like ensuring text is factual, being transparent about using AI based on legal standards, and preventing the spread of misinformation.

  4. Human Oversight: While AI is capable of producing material effectively, it’s essential to have human oversight and involvement. To guarantee that the AI-generated content is accurate, coherent, and consistent with your brand’s voice and values, human editors or content creators should examine and make changes to text when necessary. Adding that human perspective will allow businesses to produce more qualified and trustworthy content.

Combining these elements will allow AI-generated content to supply consumers with beneficial and factually accurate information that will succeed and dominate online.

RebelMouse’s Integrated AI Experience Is Now Accessible — No CMS Replatform Required!

Whether you utilize our publishing platform or not, RebelMouse provides AI-powered solutions that are open to anyone. RebelMouse has mastered creating data bridges and API syncs between current CMS platforms and RebelMouse’s platform via years of experience migrating data for new clients. Our staff can collaborate with your company to develop the mappings and API syncs required to collect your content, including significant pageview statistics and analytical data.

Request a demo today, and let us help you empower your business with AI.

Rebel Insights

Chartbeat's Global Audience Insights From the Fourth Quarter of 2022

This article was originally posted on the Chartbeat blog. Chartbeat’s real-time content analytics, historical dashboards, and optimization tools help the world’s leading media organizations understand, measure, and build business value from their content.

In the last quarter of 2022, engaged time rose in the Middle East, mobile audiences grew in Southeast Asia, and pageviews from social networks declined across the world.

Read on for more of Chartbeat's global insights from their fourth quarter research below.

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When Does News Become Old News? How Traffic Source, Topic, and More Impact the Lifespan of an Article

This article was originally posted on the Chartbeat blog. Chartbeat’s real-time content analytics, historical dashboards, and optimization tools help the world’s leading media organizations understand, measure, and build business value from their content.

In an age where readers receive real-time notifications every time news breaks, how long can we expect a given article to hold an audience’s attention, and does it differ depending on what the story’s about or the time of day that it’s published? To find out, our Data Science team looked into the amount of time it takes an article in our network to accumulate the majority of its pageviews. For additional context on the factors that influence an article’s lifespan, we also investigated how the primary traffic source, the topic of the article, and even the time of publication affects readership. Here’s what the data shows.

A New Meaning for the 24-Hour News Cycle

Drawing from our research on how the 80/20 Rule applies to pageviews and engagement, we are defining an article’s lifespan as the time it takes to reach 80% of its pageviews over the course of the first week after publication.


When we look at the more than 27 million articles published across the Chartbeat network from June 2022 through February 2023, we see that most articles reach 80% of their pageviews within 24 hours of publication, and almost all have run their course by the 48-hour mark. While this doesn’t mean that articles won’t continue to attract traffic in the following days, it does illustrate how pivotal the first 24 hours are in terms of post-publication optimization.

How Do Referral Sources Affect Lifespan?

In addition to examining the data on a network-wide scale, we wanted to see if there was a noticeable difference in lifespan by traffic source. For instance, does an article driven by social traffic last longer than an article driven by search?

Made with Flourish

Our research shows that articles driven by internal traffic reach 80% of their pageviews quickest at around 20 hours. These are the kinds of articles that are featured prominently on a home page, and we know from past research these tend to be easily digestible formats like breaking news updates or live blogs rather than long-form reporting. Articles driven by external sources behave similarly with a median completion time of 21 hours.

On the other end of the lifespan spectrum, social-driven articles reach 80% of pageviews in 26 hours and search-driven articles take the longest with a median completion time of 36 hours. This shows that while breaking news updates are often consumed quickly by readers that are already on site, articles that optimize for search engine performance or become part of the conversation on social media experience a prolonged lifespan.

Decoding the Graphics
The first graphic in this article is called a histogram. The second, above, is a kernel density plot which you can think of as a normalized or smoothed histogram. Whereas histograms count the number of occurrences and plot them accordingly, a kernel density plot takes a histogram and normalizes the area underneath the curve to 1. This allows us to show the probability for each value as well as the range where, in this case, 80% of pageviews is most likely to fall.

What Kinds of Topics Live Longer Than Others?

Just as referral sources influence the lifespan of an article, the subject matter also plays a part. When we examine lifespan by topic, we’re not surprised to see that articles focused on breaking news and current events — weather, disaster, and sports, for example — have shorter lifespans than deeper reads in science, technology, lifestyle, and leisure. Reports on weather and disaster, for example, receive 80% of their pageviews in less than a day while articles related to lifestyle and science have a median completion time of 34 and 36 hours, respectively.


How Does Publication Time Affect Lifespan?

Our research shows that lifespan doesn’t vary much with time of publication. With one exception, articles reached 80% of their pageviews between 21–24 hours later. Articles published at 4 a.m., however, had a median lifespan of just 17 hours.

Made with Flourish

When we look at days of the week, articles published on Sunday require the least time to reach 80% of their pageviews at 22 hours and articles published on Friday take the most amount of time to reach their lifespan at 29 hours.

What About Device and Loyalty?

Lifespan is minimally affected by the device a reader uses to access an article. Articles read on desktop and mobile both reach 80% of pageviews at 24 hours, and tablet is nearly the same at 23 hours, reconfirming our overall findings that the first day is the most consequential for analyzing the behavior of an article’s audience.


When we look at lifespan by reader loyalty, loyal readers have a median time of completion of 17 hours, while returning readers clock in at 26 hours and new readers at 30 hours. As we saw earlier with internal traffic, loyal readers are on site more frequently and thus more likely to read an article soon after it is published.

The Essential Lifespan Takeaway

While some factors like topic and referral source noticeably impact the lifespan of an article, others, such as device type, have less influence. No matter where an article gets it traffic or what device it’s read on, our most important finding from this research is that if the average article gets 80% of its pageviews in the first 24 hours, publishers can’t afford to wait until tomorrow to measure and optimize their content. Waiting until the next day to look at real-time metrics and make adjustments means their efforts will impact 20% of readers at best, and that’s a stat we don’t need Data Science’s help understanding.

A Few Other Takeaways From the Research

  • Articles driven by search have the longest lifespan while articles driven by internal traffic have the shortest.
  • Breaking news runs its course before lifestyle and science. While there may be some advantages to incorporating more articles on longer-lasting topics, it’s important to maintain the right editorial mix and not go all in on one strategy to chase readers.
  • Articles have an offsite lifespan as well. With events like elections, we’ve found that pageviews from search climb and peak on election night and then fall swiftly while social traffic remains high in the days following the event. Tubular Labs has also seen a similar long tail in their social video research, reminding us that there are opportunities to engage readers even after they leave your site.

Ready to make the most of modern publishing? Request a proposal to take your website to the next level with RebelMouse.

Reach New Audiences on MSN

Through RebelMouse's partnership with MediaFeed, we’re offering our publishers the opportunity to onboard their content to MSN. There are many benefits, including diversification of traffic, SEO uplift, and revenue opportunities.

Reaching a new audience is one of the best aspects of landing on MSN. But there’s an SEO benefit, too, since canonical URLs point back to your site. From a revenue perspective, the MediaFeed team helps to determine the best CPM for your content.

To get started, we have extremely flexible custom feeds set up that satisfy the needs of MSN. They include MSN-specific fields like alternative headlines for MSN and MSN categories. A new section is created where publishers can drop in which content they want to push to MSN.

MSN Channels

MSN Headlines

You can populate a custom MSN headline field for better engagement on MSN. Alternatively, you can simply use the default headline field.

MSN Categories

MSN has its own set of categories. To map your existing sections to specific categories, you can easily set an MSN category in your Sections dashboard.

MSN Slideshows

Curate slideshow-compatible posts by enabling the “MSN Slideshow” checkbox. We’ll then populate MSN slideshows with your lead media and headline, with related posts based on their primary tag.

Let your account manager know if you’d like to join this initiative for a distribution channel or email

Why Publishers Need AI-Powered Chat, Now

We all know that quality content is the number one way you can leave a lasting impact on your audience and fuel repeat visits to your site. But the explosion of artificial intelligence (AI) has redefined what it means to create content that resonates.

Specifically, the rise of AI chatbots has significantly changed what qualifies as “quality content." On-site chatbots open up doors for readers to engage in dynamic conversations that provide accurate and relevant information quickly. Chatbots have the ability to access vast databases to deliver up-to-date and reliable content. Through machine learning, chatbots continuously improve their performance, adapting responses to user preferences and personalizing the experience. It’s tough competition for any human content creator to keep up with.

And there’s no sign of the rise of AI chatbots slowing down. According to Statista, projected revenue of the chatbot market is expected to reach $454.8 million by 2027, which is a massive increase from $40.9 million in 2018.

Sourced from ChatBot.

This explosive growth is why media companies, the internet’s mega content creator powerhouses, are feeling the squeeze from AI more than anyone else. AI has changed the meaning of quality content, and because of this, publishers now need AI chatbots to revolutionize their own site’s content to optimize the user experience over and over again.

The Top Benefits of AI-Powered Chat

AI-powered chat opens up a world of possibilities for media companies to optimize user experiences, increase audience retention, and unlock new revenue streams. By embracing this transformative technology, media companies can stay at the forefront of the industry, delivering exceptional content experiences tailored to each individual user.

An example of an on-site chatbot from Narcity, a media company powered by RebelMouse.

Here are just some of the benefits to having an AI chatbot on your site:

Enhanced User Engagement: AI-powered chat revolutionizes the way publishers interact with their audience, providing a dynamic and interactive experience. By offering personalized recommendations, tailored content, and relevant suggestions, chatbots foster a deeper connection between users and media platforms. This engagement leads to increased time spent on site, higher click-through rates, and improved user satisfaction.

Personalized Content Recommendations: With AI-powered chat, media companies can analyze vast amounts of user data and utilize machine learning algorithms to deliver highly personalized content recommendations. By understanding user preferences, interests, and behavior, chatbots can curate a customized content journey for each individual, ensuring they discover relevant and captivating content that resonates with their specific interests.

Real-Time Customer Support: AI-powered chatbots act as virtual assistants, providing real-time support to users. Media companies can leverage chatbots to offer immediate responses to customer inquiries, troubleshoot issues, and provide valuable information. This instant support capability improves customer satisfaction, reduces response times, and creates a seamless user experience.

Data-Driven Insights: AI-powered chat enables publishers to gather valuable data about user interactions, preferences, and engagement patterns. By analyzing this data, media companies can gain actionable insights into user behavior, content performance, and audience segmentation. These insights empower media companies to make data-driven decisions, optimize content strategies, and refine their offerings to better cater to their audience's evolving needs.

Monetization Opportunities: AI-powered chat offers publishers new avenues for monetization. By understanding user preferences and behavior, chatbots can deliver targeted advertising that resonates with individual users, maximizing ad engagement and revenue potential. Additionally, media companies can leverage AI-powered chat to drive subscription models, offering personalized subscription recommendations and exclusive content access to users based on their interests and engagement levels.

RebelMouse AI

Get a Personalized AI Chatbot on Your Site — No Dev Work Required!

RebelMouse is a feature-rich CMS powered by AI that offers a personalized experience tailored to your audience. By leveraging OpenAI’s technology to create a private AI data model, you can provide your users with a highly valuable ChatGPT experience directly on your website.

This approach involves consolidating all of your content, including the associated metadata and stats, into a private data model. This enables the AI system to better understand user queries and provide personalized responses in real-time. With this solution, you can offer a seamless and highly engaging experience to your users, all while keeping them on your own site.

That means that you get all of the aforementioned benefits of AI-powered chat on your site but with zero dev work required.

Our private AI modeling service is available on RebelMouse or your current CMS with no migration needed. Click here to learn more.

Related Articles

Revolutionize Your Editorial Workflow: Use ChatGPT as Your Editorial Assistant

The new wave of AI has been an incredible glimpse into the future of this technology, and at RebelMouse, we’re harnessing that power to greatly help publishers on our platform. Our AI toolkit ranges from auto-creation of relevant tags to headline suggestions, and even to private data models that can power site search or a natural language chatbot.

We’ve now extended the power of our AI integrations to allow for ChatGPT to enhance the editorial workflow. We’ve introduced a feature that can be preset with a specific prompt for ChatGPT to return an answer to a specific question for every article. This can even be extended manually, wherein you can ask the chatbot anything from the interface, or be customized from the back end to have options on what to ask the chatbot. Read on to learn how it all works!

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Driven by Data: RebelMouse’s GA4 Looker Studio Dashboards

RebelMouse offers unique, customizable GA4 dashboards through Google Looker Studio that provide key insights into the metrics that matter most to publishers. We give our clients the ability to quickly understand the performance of their sites so that they can then make important decisions on the fly. Here's what you get from the standard setup:

  • General Site Performance
  • Content Performance
  • Primary Sections, Authors, and Primary Tags Performance
  • Audience and Demographics Performance
  • Loyalty Performance
  • Google Search Console Performance
  • Questions Search Performance
  • Source/Medium Performance
  • Referrals Performance
  • Paid vs. Non-Paid Traffic Performance
  • Layout Performance

General Site Performance

general site performance page of a Looker Studio dashboard customized by RebelMouse

The General Site Performance page of our Looker Studio dashboard showcases baseline stats like views, users, sessions, views per user, sessions per user, engaged time per user, and engagement rate, as well as key traffic metrics grouped by their sources:

  • Facebook traffic
  • Google traffic
  • LinkedIn traffic (customizable to your top referral)
  • Twitter traffic (customizable to your top referral)

Toward the bottom, we include the performance of GA4's Default Channel Grouping and an overview of performance by device.

Content Performance

content performance page of a Looker Studio dashboard customized by RebelMouse

The Content Performance page of our Looker Studio dashboard shows you which content is performing the best. You can filter by the following parameters to drill down into the data:

  • Page path (page URL)
  • Author
  • Channel
  • Device
  • Layout
  • Social Platform
  • Primary Section

Primary Sections, Authors, and Primary Tags Performance

primary sections, authors, and primary tags page of a Looker Studio dashboard customized by RebelMouse

The Primary Sections, Authors, and Primary Tags Performance page of our Looker Studio dashboard allows you to see which primary section, author, and primary tag is performing the best during a specific time frame.

Audience and Demographics Performance

audience and demographics page of a Looker Studio dashboard customized by RebelMouse

The Audience and Demographics Performance page in our Looker Studio helps you understand your audience better based on their demographics, gender, age, geolocation, and which day sees the highest content consumption, as well as the breakdown by device.

This page is applicable when you enable Google Signals inside your GA4 settings.

Loyalty Performance

loyalty performance page of a Looker Studio dashboard customized by RebelMouse

The Loyalty Performance page of your Looker Studio shows different levels of loyalty, or fan level. We have defined five levels of loyalty as follows:

  1. New Visitor: One session
  2. Returning Visitor: Two or more sessions
  3. Loyal Visitor: Three or more sessions
  4. Fans: Four or more sessions
  5. Super Fans: Five or more sessions

This gives you great insight into the amount of traffic that is returning to your site. As you can see in our example above, we also see that as loyalty grows, pages per user and time per user also grow.

Google Search Console Performance

Google Search Console page of a Looker Studio dashboard customized by RebelMouse

The Google Search Console Performance page sources data from your Google Search Console account. We can see metrics such as search impressions, search clicks, CTR, and average position (rank). We can filter them by page, query, search type, country, and device category to help dig deeper into the data.

Included at the bottom of the page are tables of top-performing content inside Google Search Console, as well as top-performing keywords (queries) as reported by the same.

Questions Search Performance

questions search performance page of a Looker Studio dashboard customized by RebelMouse

The Questions Search Performance page sources insights from Google Search Console, where we can see which Frequently Asked Questions from users are bringing in the most visitors to your site.

Source/Medium Performance

source/medium performance page of a Looker Studio dashboard customized by RebelMouse

The Source/Medium Performance page showcases which sources/mediums and UTM tracking tags are bringing in the most traffic to your site. There are filtering options at the top of the page that allow you to filter by sources, mediums, and time frame.

Referrals Performance

referrals performance page of a Looker Studio dashboard customized by RebelMouse

Similar to the Source/Medium Performance page, the Referrals Performance page showcases referral traffic specifically. There are filtering options at the top of the page that allow you to filter by referral source and time frame.

Paid vs. Non-Paid Traffic Performance

paid versus non-paid traffic performance page of a Looker Studio dashboard customized by RebelMouse

This page of our Looker Studio dashboard allows you to compare common paid vs. non-paid traffic performance.

This is built on filtering which follows the industry's most common UTMs for paid sources.

UTMs included as paid traffic are:

  1. Source/Medium which contains "CPC" (Cost per Click)
  2. Source/Medium which contains "PPC" (Pay per Click)
  3. Source/Medium which contains "Paid"

If you are by chance using a custom paid campaign with unique UTM parameters, feel free to reach out to us about the unique UTM name and we can adjust your Looker Studio dashboard page to include your unique paid UTM campaign.

Layout Performance

layout comparison page of a Looker Studio dashboard customized by RebelMouse

The Layout Performance page of our Looker Studio dashboard allows you to compare different page layouts on your site and review their performance against traffic.

If you have any questions about your site’s Looker Studio dashboard, contact your account manager or email

Related Article

Google Rolls Out New Search Generative Experience to Select Users

Google has begun the rollout of its Search Generative Experience (SGE) to select users. This new feature leverages generative artificial intelligence (AI) to enhance the search experience.

The goal of Google’s new generative AI-powered search is to simplify search by providing users with a snapshot of information to help them understand topics more quickly. According to Google, SGE will “help you take some of the work out of searching, so you can understand a topic faster, uncover new viewpoints and insights, and get things done more easily. So instead of asking a series of questions and piecing together that information yourself, search now can do some of that heavy lifting for you.”

An example of search results using Google’s new Search Generative Experience. From Google.

Benefits of Google’s AI Search Generative Experience

According to Google, there are three ways its new generative AI capabilities can make searches simpler:

  1. Understanding Complex Topics: SGE provides an AI-powered snapshot to help users grasp the key factors and considerations of a topic, such as learning ukulele versus guitar, or the benefits of incorporating a business before freelancing.
  2. Quick Tips for Specific Questions: With SGE, users can submit specific queries and receive a variety of content from across the web. For example, searching for how to remove a coffee stain from a wool sweater, or how to quickly renew a passport, will provide pointers and options
  3. Shopping Assistance: Search offers information on products and considerations for various needs. Users can search for specific items like peel-and-stick wallpaper for the kitchen, or a Bluetooth speaker for a pool party, and find important product details, like customer ratings and options to purchase.

Click here to read more on Google’s take on the benefits of its Search Generative Experience. The rollout of SGE is a part of Google’s Search Labs, a new program that opens up features still in the experimental phase to users. To see if you’re able to join the waitlist for Search Labs, click here.

Feedback on SGE’s Rollout

Following the launch of Search Generative Experience by Google, the select users who gained early access began sharing screenshots of the new feature across Twitter. Of course, they also discovered some hiccups along the way, including word-for-word content duplication.

As you can see in the Twitter thread above, Google reminded users that SGE remains firmly rooted in its experimental phase.

SEO influencer Andy Simpson shared this video of his experience with SGE:

First look at Google Search Generative Experience, SGE

Click here to read more feedback from early users of SGE over at Search Engine Roundtable.

Harness the Power of AI Search

Google is fully embracing the inevitable role AI technology will play in search. Similar to how AI will completely revolutionize traditional search, it’s also set to transform conventional website search.

AI-powered search offers a solution that can transform website search into an experience that outshines traditional search. With AI, search engines can interpret user queries more effectively, even when users make typos or use the wrong words. This means that users can find what they’re looking for quickly and easily, and website owners can provide search experiences that meet the high expectations of their users.

RebelMouse is a publishing platform that leverages AI-powered search to deliver enhanced user experiences and engagement on websites. Traditional search engines use a set of predefined rules to match user queries with indexed content, which can lead to irrelevant results.

RebelMouse solves this by consolidating all of your content, along with its accompanying metadata and stats, into a private AI data model. This model leverages the power of OpenAI’s technology to deliver personalized search results and content recommendations that are tailored specifically to your site. Click here to learn more.

So far the results have been impressive:

Curious to learn more? Click here to check out the rest of our AI features and get started.

Mastering Site Navigation: How It Impacts SEO and Improves User Experience

Google’s Search Advocate shares insight on the importance of site structure

So just how important is site navigation to search? Recently, Google's Search Advocate John Mueller said that when it comes to sites with pagination, and large sites’ faceted navigation, Google will learn how to crawl it. In a Twitter thread, Mueller said Google does try to “learn” useful URL patterns for sites.

But if you’re optimizing your content for search, you should think about how to make it easier for Googlebot to crawl and Google to understand. Mueller said simply, "If you can make crawling easier, it'll be easier to crawl.”

Mueller was originally asked about whether or not large sites with pagination should be worried about crawl budget. "Ultimately, pagination usually creates separate URLs, so yes, that's something I'd see within the scope of "crawl budget" (especially for really large sites)."

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SmartNews Best Practices

SmartNews is a free news aggregator app for iOS and Android devices. It allows for algorithm-driven content discovery and provides users with the ability to save stories for later reading.

RebelMouse offers an easy-to-use integration with SmartNews.

Signing Up for SmartNews

To get started with SmartNews, publishers need to apply through the SmartNews Partner Program. You’ll need to provide publisher information and, most importantly, a SmartNews-compliant feed that’s validated through the SmartFormat Validator.

The RebelMouse team can develop this custom feed based on the following information:

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Craft the Perfect Headline Every Time: How RebelMouse's AI-Generated Headlines Can Transform Your Content Strategy

AI-Generated Lists Bring Smart Headlines to RebelMouse’s Entry Editor

Publishers are increasingly turning to artificial intelligence (AI) to streamline their workflows and enhance their content. After the explosion of ChatGPT at the end of 2022, AI began rapidly transforming many aspects of the digital publishing world, and its impact is only going to increase in the coming years.

That’s why we’ve been busy at RebelMouse bringing the power of AI into our CMS platform. It’s now serving as an advanced form of tag generation, as well as opening up a whole new world of creativity through AI-generated images.

And now we have another exciting new feature to share. OpenAI Alternative Headlines is here, and it’s a game changer, proposing new headline ideas and other suggested text with just a click.

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