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Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

Pinterest Shopping Ads Market Outlook

According to our latest research, the global Pinterest Shopping Ads market size reached USD 1.28 billion in 2024, driven by the surge in social commerce and the platformÂ’s unique visual discovery features. The market is projected to expand at a robust CAGR of 16.7% from 2025 to 2033, reaching an estimated USD 5.13 billion by 2033. The primary growth factor is the increasing adoption of visually-driven shopping experiences by brands and retailers, who leverage PinterestÂ’s engaged user base to drive conversion and brand visibility.

The growth of the Pinterest Shopping Ads market is fundamentally underpinned by the transformation in consumer shopping behavior, particularly the shift towards visually immersive and inspiration-led online experiences. Pinterest distinguishes itself from other social platforms by serving as a visual search engine, where users actively seek ideas and products rather than passively consuming content. This intent-driven browsing behavior translates into higher engagement rates for shopping ads, making the platform highly attractive for advertisers. Brands are increasingly allocating budgets to Pinterest Shopping Ads to capitalize on this unique user intent, resulting in higher return on ad spend (ROAS) compared to traditional digital advertising channels. Additionally, the integration of advanced AI-powered recommendation engines and personalized ad placements is enhancing user experience and boosting ad performance, further fueling market growth.

Another significant growth driver is the platform’s ability to support a diverse range of industries and objectives. Pinterest Shopping Ads are not limited to traditional retail; they have seen widespread adoption across verticals such as fashion, home decor, beauty, and consumer electronics. The versatility of ad formats, including Product Pins, Collection Ads, and Dynamic Retargeting Ads, enables brands to tailor their campaigns to specific marketing objectives—be it brand awareness, traffic generation, or conversions. Furthermore, Pinterest’s ongoing investments in shopping features, such as streamlined checkout experiences and AR-powered product previews, are reducing friction in the purchase journey and encouraging more businesses to invest in the platform. The seamless integration with e-commerce platforms like Shopify and WooCommerce also simplifies catalog management and ad deployment, making Pinterest Shopping Ads accessible to both small businesses and large enterprises.

The increasing penetration of mobile devices and the global expansion of e-commerce are also pivotal factors contributing to the growth of the Pinterest Shopping Ads market. As users spend more time on mobile devices, the demand for intuitive, visually engaging shopping experiences continues to rise. PinterestÂ’s mobile-first design and rich visual content resonate strongly with younger demographics, particularly millennials and Gen Z, who are driving the growth of social commerce. The platformÂ’s global reach, with significant user bases in North America, Europe, and emerging markets in Asia Pacific and Latin America, provides advertisers with expansive opportunities to target new audiences and drive cross-border sales. Strategic partnerships with payment processors and logistics providers further enhance the end-to-end shopping experience, making Pinterest a preferred channel for brands looking to expand their digital footprint.

Brand Dealsplaces have emerged as a significant factor in the expansion of Pinterest Shopping Ads, as brands seek to optimize their marketing strategies through strategic partnerships and collaborations. These deals often involve exclusive promotions or curated collections that are showcased prominently on the platform, enhancing brand visibility and consumer engagement. By leveraging Pinterest's unique visual discovery features, brands can create immersive shopping experiences that resonate with users' interests and preferences. The ability to integrate brand deals seamlessly into Pinterest's ad formats allows for a more personalized and engaging user experience, ultimately driving higher conversion rates and customer loyalty. As more brands recognize the value of these partnerships, the role of Brand Dealsplaces in shaping the future of Pinterest Shopping Ads is expected to grow, offering new opportunities for innovation and grow

People use different social networks for a wide range of purposes. In a February 2019 survey, Instagram ranked first among social media survey for viewing photos but ranked head-to-head with Snapchat in terms of being the preferred social network for video consumption. Also, 47 percent of respondents stated that they used Pinterest to find or shop for products, a rate that no other social platform was able to match in that regard.