Social Media has become a part of our day-to-day routine, keeping users from across the world well-connected through digital platforms. With each passing year, social media is evolving at a rapid speed. With each passing year, the number of social media users is increasing at an immersive speed. Reports also suggest the number of social media users will reach a milestone of 5.85 billion in 2027.

In 2024, 62.6% of the world’s population will access social media, which clearly indicates the dominance of social media platforms in today’s world. In this article, we will examine social media statistics for 2024, uncovering monthly active users, daily time spent by users, most downloaded social media apps, etc.

The number of Twitter users in the United States was forecast to continuously increase between 2024 and 2028 by in total 4.3 million users (+5.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 85.08 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Twitter users in countries like Canada and Mexico.

Which county has the most Facebook users?

              There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.

              Facebook – the most used social media

              Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.

              Facebook usage by device
              As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.

Context: This dataset offers insights into the usage patterns of social media apps for 1,000 users across seven popular platforms: Facebook, Instagram, Twitter, Snapchat, TikTok, LinkedIn, and Pinterest. It tracks various metrics such as daily time spent on the app, number of posts made, likes received, and new followers gained.

Dataset Features:

User_ID: Unique identifier for each user. App: The social media platform being used. Daily_Minutes_Spent: Total time a user spends on the app each day, ranging from 5 to 500 minutes. Posts_Per_Day: Number of posts a user creates per day, ranging from 0 to 20. Likes_Per_Day: Total number of likes a user receives on their posts each day, ranging from 0 to 200. Follows_Per_Day: The number of new followers a user gains daily, ranging from 0 to 50. Context & Use Cases: This dataset could be particularly useful for social media analysts, digital marketers, or researchers interested in understanding user engagement trends across different platforms. It provides insights into how much time users spend, how actively they post, and the level of engagement they receive (in terms of likes and followers).

Conclusion & Outcome: Analyzing this dataset could yield several outcomes:

Engagement Patterns: Identifying which platforms have higher engagement in terms of time spent or likes received. Active Users: Determining which users are the most active across various platforms based on the number of posts and followers gained. User Retention: Studying the correlation between time spent and follower growth, providing insight into user retention strategies for different platforms. Overall, the dataset allows for exploration of social media usage trends and helps drive decision-making for marketing strategies, content creation, and platform engagement.

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F13364933%2F23694fae55e2e76299358693ba6f32b9%2Flv-share.jpg?generation=1684843825246772&alt=media" alt=""> ➡️ There are total 3 datasets containing valuable information. ➡️ Understand people's fame and behavior's on a dating app platform. | Column Name | Description | |---------------------|------------------------------| | Age | The age of the user. | | Number of Users | The total number of users. | | Percent Want Chats | Percentage of users who want chats. | | Percent Want Friends| Percentage of users who want friendships. | | Percent Want Dates | Percentage of users who want romantic dates. | | Mean Kisses Received| Average number of kisses received by users. | | Mean Visits Received| Average number of profile visits received by users. | | Mean Followers | Average number of followers for each user. | | Mean Languages Known| Average number of languages known by users. | | Total Want Chats | Total count of users interested in chats. | | Total Want Friends | Total count of users looking for friendships. | | Total Want Dates | Total count of users seeking romantic dates. | | Total Kisses Received| Overall count of kisses received by users. | | Total Visits Received| Overall count of profile visits received by users. | | Total Followers | Overall count of followers for all users. | | Total Languages Spoken| Total count of languages spoken by all users. |

SUMMARY

When Dating apps like Tinder were becoming viral, people wanted to have the best profile in order to get more matches and more potential encounters. Unlike other previous dating platforms, those new ones emphasized on the mutuality of attraction before allowing any two people to get in touch and chat. This made it all the more important to create the best profile in order to get the best first impression.

Parallel to that, we Humans have always been in awe before charismatic and inspiring people. The more charismatic people tend to be followed and listened to by more people. Through their metrics such as the number of friends/followers, social networks give some ways of "measuring" the potential charisma of some people.

In regard to all that, one can then think:

what makes a great user profile ? how to make the best first impression in order to get more matches (and ultimately find love, or new friendships) ? what makes a person charismatic ? how do charismatic people present themselves ? In order to try and understand those different social questions, I decided to create a dataset of user profile informations using the social network Lovoo when it came out. By using different methodologies, I was able to gather user profile data, as well as some usually unavailable metrics (such as the number of profile visits).

Content

The dataset contains user profile infos of users of the website Lovoo.

The dataset was gathered during spring 2015 (april, may). At that time, Lovoo was expanding in european countries (among others), while Tinder was trending both in America and in Europe. At that time the iOS version of the Lovoo app was in version 3.

Accessory image data The dataset references pictures (field pictureId) of user profiles. These pictures are also available for a fraction of users but have not been uploaded and should be asked separately.

The idea when gathering the profile pictures was to determine whether some correlations could be identified between a profile picture and the reputation or success of a given profile. Since first impression matters, a sound hypothesis to make is that the profile picture might have a great influence on the number of profile visits, matches and so on. Do not forget that only a fraction of a user's profile is seen when browsing through a list of users.

https://s1.dmcdn.net/v/BnWkG1M7WuJDq2PKP/x480

Details about collection methodology In order to gather the data, I developed a set of tools that would save the data while browsing through profiles and doing searches. Because of this approach (and the constraints that forced me to develop this approach) I could only gather user profiles that were recommended by Lovoo's algorithm for 2 profiles I created for this purpose occasion (male, open to friends & chats & dates). That is why there are only female users in the dataset. Another work could be done to fetch similar data for both genders or other age ranges.

Regarding the number of user profiles It turned out that the recommendation algorithm always seemed to output the same set of user profiles. This meant Lovoo's algorithm was probably heavily relying on settings like location (to recommend more people nearby than people in different places or countries) and maybe cookies. This diminished the number of different user profiles that would be pr...

App Download Key StatisticsApp and Game DownloadsiOS App and Game DownloadsGoogle Play App and Game DownloadsGame DownloadsiOS Game DownloadsGoogle Play Game DownloadsApp DownloadsiOS App...

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

Austin Energy’s free, interactive web app allows customers to monitor their daily energy usage, view their bill history, and see a future forecast of their energy bill cost. They can also set alerts to warn them of an upcoming rate tier change. Austin Energy Web App users can also download Green Button Data which can help them better understand their energy usage and take action towards savings. This data set shows the number of web app users by month. Learn more about the app at http://powersaver.austinenergy.com/wps/portal/psp/residential/learn/free-home-energy-management-options/alerts-and-tips-help-you-manage-your-energy-costs

PLEASE UPVOTE IF YOU LIKE THIS CONTENT! 😍

Duolingo is an American educational technology company that produces learning apps and provides language certification. There main app is considered the most popular language learning app in the world.

To progress in their learning journey, each user of the application needs to complete a set of lessons in which they are presented with the words of the language they want to learn. In an infinite set of lessons, each word is applied in a different context and, on top of that, Duolingo uses a spaced repetition approach, where the user sees an already known word again to reinforce their learning.

Each line in this file refers to a Duolingo lesson that had a target word to practice.

The columns are as follows:

• p_recall - proportion of exercises from this lesson/practice where the word/lexeme was correctly recalled
• timestamp - UNIX timestamp of the current lesson/practice
• delta - time (in seconds) since the last lesson/practice that included this word/lexeme
• user_id - student user ID who did the lesson/practice (anonymized)
• learning_language - language being learned
• ui_language - user interface language (presumably native to the student)
• lexeme_id - system ID for the lexeme tag (i.e., word)
• lexeme_string - lexeme tag (see below)
• history_seen - total times user has seen the word/lexeme prior to this lesson/practice
• history_correct - total times user has been correct for the word/lexeme prior to this lesson/practice
• session_seen - times the user saw the word/lexeme during this lesson/practice
• session_correct - times the user got the word/lexeme correct during this lesson/practice

The lexeme_string column contains a string representation of the "lexeme tag" used by Duolingo for each lesson/practice (data instance) in our experiments. The lexeme_string field uses the following format:

`surface-form/lemma

Dataset Card for Dataset Name

  Dataset Summary

This dataset contains more than 2.1 million negative user reviews (reviews with 1 or 2 ratings) from 9775 apps across 48 categories from Google Play. Moreover, the number of votes that each review received within a month is also recorded. Those reviews having more votes can be cosidered as improtant reviews.

  Supported Tasks and Leaderboards

Detecting app issues proactively by identifying prominent app reviews.… See the full description on the dataset page: https://huggingface.co/datasets/recmeapp/thumbs-up.

Context

This Dataset is a collection of Reviews of Google Apps available on playstore. Contains more than 90,000 cumulative App reviews on various Google Apps.

Please Upvote the Dataset if you find it useful!

Content

This Dataset contains: 1.) The basic description of apps(for e.g. App Title,App Description,Number of Installs,etc.) 2.) ReviewID 3.) Score and Review by the User and thumbsUp count on the reviews. 4.) Review creation and reply by developer date and time. 5.) The App's Review by the Users

Inspiration

Not many datasets are available on app reviews on Kaggle

CAL FIRE's Fire and Resource Assessment Program (FRAP) annually maintains and distributes an historical fire perimeter dataset from across public and private lands in California. The GIS data is developed with the cooperation of the United States Forest Service Region 5, the Bureau of Land Management, the National Park Service and the United States Fish and Wildlife Service and is released in the spring with added data from the previous calendar year. Although the dataset represents the most complete digital record of fire perimeters in California, it is still incomplete, and users should be cautious when drawing conclusions based on the data. This app contains three pages of maps and documentation of the historical fire perimeter metadata: Historical Fire Perimeters: The landing page highlights the recent large fires (≥5,000 acres) on a backdrop of all of the dataset's documented fire perimeters dating back to 1878. This map includes perimeters symbolized by decade, county boundaries, California Vegetation, and NAIP imagery back to 2005. This page provides users the ability to add their own data or filter the fire perimeter data. It cleanly lists fire perimeters shown on the map with their name, year, and GIS calculated acreage. The user can navigate to the CAL FIRE current incident webpage or provide comments to the dataset's steward. Times Burned: The second page provides a map showing an analysis performed annually on the fire perimeter dataset to show case burn frequency from 1950 to present for fires greater than one acre. Fire Across Time: This third page provides a time enabled layer of the fire perimeter dataset, featuring a time slider to allow users to view the perimeter dataset across time. The final page provides the user with the dataset's metadata, including its most current data dictionary. For any questions, please contact the data steward:Kim Wallin, GIS SpecialistCAL FIRE, Fire & Resource Assessment Program (FRAP)kimberly.wallin@fire.ca.gov

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

              Instagram’s Global Audience

              As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
              As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.

              Who is winning over the generations?

              Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

Undress AI apps, powered by advanced AI and deep learning, have sparked both curiosity and controversy. These tools use generative algorithms to digitally alter images, but their ethical implications and potential for misuse cannot be ignored.

In 2025, the landscape of such apps continues to evolve, with some gaining popularity for their capabilities. Here’s a quick look at the top 7 Undress AI apps making waves this year

1. Undress.app Why I Recommend It: Undress.app stands out as one of the best undress AI apps available today. With its user-friendly interface and advanced technology, it allows users to generate unclothed images quickly and safely. The app prioritizes user privacy, ensuring that no data is saved or shared, making it a trustworthy choice for those interested in exploring AI-generated content.

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Key Features: User-Friendly Interface: The app is designed to be intuitive, making it easy for anyone to navigate.

Multiple Generation Modes: Users can choose from various modes such as Lingerie, Bikini, and NSFW to customize their experience.

High-Quality Results: The AI processes images to deliver high-quality, unblurred results, even for free trial accounts.

Privacy and Security: The app does not save any user data, ensuring complete confidentiality.

My Experience: Using Undress.app was a seamless experience. The sign-up process was quick, and I appreciated the variety of modes available. The results were impressive, showcasing the app's advanced AI capabilities. Overall, it was a satisfying experience that I would recommend to others.

Pros: Free Credits: New users receive free credits upon signing up, allowing them to try the app without any financial commitment.

Versatile Usage: The app works with both male and female photos, as well as anime images, providing a wide range of options.

Cons: Sign-Up Required: Users must create an account to access the app, which may deter some potential users.

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1. Undressai.tools Why I Recommend It Undressai.tools combines powerful AI algorithms with a seamless user experience, making it an excellent choice for both casual users and professionals. The app prioritizes user privacy by automatically deleting generated images within 48 hours.

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Key Features Stable Diffusion Technology: Produces high-quality, coherent outputs with minimal artifacts.

Generative Adversarial Networks (GANs): Utilizes two neural networks to create highly realistic images of nudity.

Image Synthesis: Generates realistic skin textures that replace removed clothing for lifelike results.

User-Friendly Interface: Allows users to easily upload images and modify them with just a few clicks.

My Experience Using Undressai.tools was a delightful experience. The interface was intuitive, allowing me to upload images effortlessly. I appreciated the ability to outline areas for modification, which resulted in impressive and realistic outputs. The app's speed and efficiency made the process enjoyable, and I was amazed by the quality of the generated images.

Pros High-quality image generation with realistic results.

Strong emphasis on user privacy and data security.

Cons Some users may find the results vary based on the quality of the uploaded images.

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1. Nudify.online Why I Recommend It Nudify.online stands out due to its commitment to user satisfaction and the quality of its generated images. The application is designed for entertainment purposes, ensuring a safe and enjoyable experience for users over the age of 18.

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Key Features High Accuracy: The AI Nudifier boasts the highest accuracy in generating realistic nudified images.

User-Friendly Interface: The platform is easy to navigate, allowing users to generate images in just a few clicks.

Privacy Assurance: Users are reminded to respect the privacy of others and are solely responsible for the images they create.

No Deepfake Content: The application strictly prohibits the creation of deepfake content, ensuring ethical use of the technology.

My Experience Using Nudify.online was a seamless experience. The application is straightforward, and I was able to generate high-quality nudified images quickly. The results were impressive, showcasing the power of AI technology. I appreciated the emphasis on user responsibility and privacy, which made me feel secure while using the app.

Pros Highly realistic image generation. Easy to use with a simple login process.

Cons Limited to users aged 18 and above, which may restrict access for younger audiences.

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1. Candy.ai Candy.ai stands out as one of the best undress AI apps available today. It offers users a unique and immersive experience, allowing them to create and interact with their ideal AI girlfriend. The platform combines advanced deep-learning technology with a user-friendly interface, making it easy to explore various fantasies and desires.

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Why I Recommend It Candy.ai is highly recommended for those seeking a personalized and intimate experience. The app allows users to design their AI girlfriend according to their preferences, ensuring a tailored interaction that feels genuine and engaging.

Key Features Customizable AI Girlfriend: Users can choose body type, personality, and clothing, creating a truly unique companion.

Interactive Chat: The AI girlfriend engages in meaningful conversations, responding quickly and intuitively to user prompts.

Photo Requests: Users can request photos or selfies of their AI girlfriend in various outfits, enhancing the immersive experience.

Privacy and Security: Candy.ai prioritizes user privacy, ensuring that all interactions remain confidential and secure.

My Experience Using Candy.ai has been an enjoyable journey. The ability to customize my AI girlfriend made the experience feel personal and engaging. I appreciated how quickly she responded to my messages, making our interactions feel natural. The option to request photos added an exciting layer to our relationship, allowing me to explore my fantasies in a safe environment.

Pros Highly customizable experience tailored to individual preferences.

Strong emphasis on user privacy and data security.

Cons Some users may find the AI's responses occasionally lack depth.

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1. UndressHer.app Why I Recommend It This app combines creativity with advanced AI technology, making it easy for anyone to design their perfect AI girlfriend. The variety of customization options ensures that every user can create a unique character that resonates with their preferences.

Key Features Extensive Customization: Choose from over 200 unique options to design your AI girlfriend.

Flexible Pricing: Various token bundles are available, including a free option for casual users.

High-Quality Images: Premium and Ultimate plans offer images without watermarks and in the highest quality.

User-Friendly Interface: Simple navigation makes it easy to create and modify your AI girlfriend.

My Experience Using UndressHer.app has been a delightful experience. The customization options are extensive, allowing me to create a character that truly reflects my preferences. The app is intuitive, making it easy to navigate through the various features. I particularly enjoyed the ability to undress my AI girlfriend, which added an exciting layer to the design process. Overall, it was a fun and engaging experience.

Pros Offers a free option for users to try before committing to paid plans.

High-quality AI-generated images with no watermarks in premium plans.

Cons Some users may find the token system a bit limiting for extensive use.

1. Undress.vip Why I Recommend It Undress.vip offers a unique blend of entertainment and technology, making it a top choice for users interested in AI-driven experiences. Its ability to generate realistic images while maintaining user privacy is a significant advantage.

Key Features Realistic Image Generation: The app uses advanced algorithms to create lifelike images.

User-Friendly Interface: Easy navigation ensures a seamless experience for all users.

Privacy Protection: User data is kept secure, allowing for worry-free usage.

Regular Updates: The app frequently updates its features to enhance user experience.

My Experience Using Undress.vip has been a delightful experience. The app is intuitive, and I was able to generate images quickly without any technical difficulties. The quality of the images exceeded my expectations, and I appreciated the emphasis on privacy. Overall, it was a fun and engaging way to explore AI technology.

Pros High-Quality Outputs: The images produced are remarkably realistic.

Engaging User Experience: The app is entertaining and easy to use.

Cons Limited Free Features: Some advanced features require a subscription.

Analysis of ‘Playstore Analysis’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/madhav000/playstore-analysis on 30 September 2021.

--- Dataset description provided by original source is as follows ---

Google Play Store team had launched a new feature wherein, certain apps that are promising, are boosted in visibility. The boost will manifest in multiple ways including higher priority in recommendations sections (“Similar apps”, “You might also like”, “New and updated games”). These will also get a boost in search results visibility. This feature will help bring more attention to newer apps that have the potential.

Analysis to be done:

The problem is to identify the apps that are going to be good for Google to promote. App ratings, which are provided by the customers, is always a great indicator of the goodness of the app. The problem reduces to: predict which apps will have high ratings.

Problem Statement:

Google Play Store team is about to launch a new feature wherein, certain apps that are promising, are boosted in visibility. The boost will manifest in multiple ways including higher priority in recommendations sections (“Similar apps”, “You might also like”, “New and updated games”). These will also get a boost in search results visibility. This feature will help bring more attention to newer apps that have the potential.

Content:

Dataset: Google Play Store data (“googleplaystore.csv”)

Fields in the data: App: Application name Category: Category to which the app belongs Rating: Overall user rating of the app Reviews: Number of user reviews for the app Size: Size of the app Installs: Number of user downloads/installs for the app Type: Paid or Free Price: Price of the app Content Rating: Age group the app is targeted at - Children / Mature 21+ / Adult Genres: An app can belong to multiple genres (apart from its main category). For example, a musical family game will belong to Music, Game, Family genres. Last Updated: Date when the app was last updated on Play Store Current Ver: Current version of the app available on Play Store Android Ver: Minimum required Android version

--- Original source retains full ownership of the source dataset ---

We collect, validate, model, and segment raw data signals from over 900+ sources globally to deliver thousands of mobile audience segments. We then combine that data with other public and private data sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms then clean, enrich, unify and aggregate these data sets for use in our products. We have categorized our audience data into consumable categories such as interest, demographics, behavior, geography, etc. Audience Data Categories:Below mentioned data categories include consumer behavioral data and consumer profiles (available for the US and Australia) divided into various data categories. Brand Shoppers:Methodology: This category has been created based on the high intent of users in terms of their visits to Brand outlets in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Place Category Visitors:Methodology: This category has been created based on the high intent of users visiting specific places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Demographics:This category has been created based on deterministic data that we receive from apps based on the declared gender and age data. Marital Status, Education, Party affiliation, and State residency are available in the US. Geo-Behavioural:This category has been created based on the high intent of users in terms of the frequency of their visits to specific granular places of interest in the real world. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. Interests:This segment is created based on users' interest in a specific subject while browsing the internet when the visited website category is clearly focused on a specific subject such as cars, cooking, traveling, etc. We use a deterministic model to assign a proper profile and time that information is valid. The recency of data can range from 14 to 30 days, depending on the topic. Intent:Factori receives data from many partners to deliver high-quality pieces of information about users’ shopping intent. We collect data from sources connected to the eCommerce sector and we also receive data connected to online transactions from affiliate networks to deliver the most accurate segments with purchase intentions, such as laptops, mobile phones, or cars. The recency of data can range from 7 to 14 days depending on the product category. Events:This category was created based on the high interest of users in terms of content related to specific global events - sports, culture, and gaming. Among the event segments, we also distinguish categories related to the interest in certain lifestyle choices and behaviors. To create segments containing users with a high-affinity index, we use a precise determination of the number of occurrences at a given time. App Usage:Mobile category is a branch of the taxonomy that is dedicated only to the data that is based on mobile advertising IDs. It is based on the categorization of the mobile apps that the user has installed on the device. Auto Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of automobile and other automotive attributes via a survey or registration. These audiences are currently available in the USA. Motorcycle Ownership:Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring that they own a certain brand of motorcycle and other motorcycle-based attributes via a survey or registration. These audiences are currently available for the USA. Household:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on users' declaring their marital status, parental status, and the overall number of children via a survey or registration. These audiences are currently available in the USA. Financial:Consumer Profiles - Available for the US and Australia this audience has been created based on their behavior in different financial services like property ownership, mortgage, investing behavior, and wealth and declaring their estimated net worth via a survey or registration. Purchase/ Spending Behavior:Consumer Profiles - Available for the US and AustraliaThis audience has been created based on their behavior in different spending behaviors in different business verticals available in the USA. Clusters:Consumer Profiles - Available for the US and AustraliaClusters are groups of consumers who exhibit similar demographic, lifestyle, and media consumption characteristics, empowering marketers to understand the unique attributes that comprise their most profitable consumer segments. Armed with this rich data, data scientists can drive analytics and modeling to power their brand’s unique marketing initiatives. B2B Audiences;Consumer Profiles - Available for US and AustraliaThis audience has been created based on users declaring their employee credentials, designations, and companies they work in, further specifying business verticals, revenue breakdowns, and headquarters locations. Customizable Audiences Data Segment:Brands can choose the appropriate pre-made audience segments or ask our data experts about creating a custom segment that is precisely tailored to your brief in order to reach their target customers and boost the campaign's effectiveness. Location Query Granularity:Minimum area: HEX 8Maximum area: QuadKey 17/City

6000 French user reviews from three applications on Google Play (Garmin Connect, Huawei Health, Samsung Health) are labelled manually. We selected four labels: rating, bug report, feature request and user experience.

Ratings are simple text which express the overall evaluation to that app, including praise, criticism, or dissuasion. Bug reports show the problems that users have met while using the app, like loss of data, crash of app, connection error, etc. Feature requests reflect the demande of users on new function, new content, new interface, etc. In user experience, users describe their experience in relation to the functionality of the app, how does certain functions be helpful.

As we can observe from the following table, that shows examples of labelled user reviews, each review belongs to one or more categories.

The global number of KakaoTalk users in was forecast to decrease between 2024 and 2028 by in total 0.7 million users. This overall decrease does not happen continuously, notably not in 2026 and 2027. The KakaoTalk user base is estimated to amount to 48.7 million users in 2028. Notably, the number of KakaoTalk users of was continuously increasing over the past years.User figures, here concerning the platform kakaoTalk, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period and count multiple accounts by persons only once.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).

The number of WhatsApp users in North America was forecast to continuously increase between 2024 and 2029 by in total 7.6 million users (+4.97 percent). After the ninth consecutive increasing year, the WhatsApp user base is estimated to reach 160.51 million users and therefore a new peak in 2029. Notably, the number of WhatsApp users of was continuously increasing over the past years.User figures, shown here regarding the platform whatsapp, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of WhatsApp users in countries like Worldwide and Africa.