As of February 2025, it was found that around 14.1 percent of TikTok's global audience were women between the ages of 18 and 24 years, while male users of the same age formed approximately 16.6 percent of the platform's audience. The online audience of the popular social video platform was further composed of 14.6 percent of female users aged between 25 and 34 years, and 20.7 percent of male users in the same age group.

Our People data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
2. Demographics - Gender, Age Group, Marital Status, Language etc.
3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
4. Persona - Consumer type, Communication preferences, Family type, etc
5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
6. Household - Number of Children, Number of Adults, IP Address, etc.
7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
8. Firmographics - Industry, Company, Occupation, Revenue, etc
9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
10. Auto - Car Make, Model, Type, Year, etc.
11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

People Data Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

People Data Use Cases:

360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation.

Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

Using Factori People Data you can solve use cases like:

Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

Lookalike Modeling

Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

Here's the schema of People Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
mortgage_loan2_type mortgage_lender_code
mortgage_loan2_render_code
mortgage_lender mortgage_loan2_lender
mortgage_loan2_ratetype mortgage_rate
mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
office_census_block_group
office_census_tract office_county_code
company_phone
company_credit_score
company_csa_code
company_dpbc
company_franchiseflag
company_facebookurl company_linkedinurl company_twitterurl
company_website company_fortune_rank
company_government_type company_headquarters_branch company_home_business
company_industry
company_num_pcs_used
company_num_employees
company_firm_individual company_msa company_msa_name
company_naics_code
company_naics_description
company_naics_code2 company_naics_description2
company_sic_code2
company_sic_code2_description
company_sic...

As of February 2024, approximately **** percent of financial service website users in the United States were aged between 25 and 34 years. Users aged between 45 and 54 years represented over ** percent of the U.S. online audience share.

Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

When examining the age demographics of visitors to various online marketplaces, the majority of visitors were individuals aged 25 to 34. Over ** percent of the aliexpress.com and mercadolibre.com visitor base fell within this age range. Conversely, approximately ** percent of visitors to the global sites of Etsy and Amazon were between 45 and 54.

LinkedIn Company Page Data - The Data Analytics Academy Dataset Overview This dataset contains detailed insights from The Data Analytics Academy's LinkedIn Company Page, including information on content performance, followers, and visitors. The data is sourced directly from our LinkedIn analytics and has been organized into CSV files for ease of use.

Files Included: Content Data: Performance metrics for posts and updates shared on our LinkedIn page. Followers Data: Demographics and growth metrics of our LinkedIn page followers. Visitors Data: Insights on page visitors, including demographics and engagement levels. Use Cases: Social Media Analytics: Analyze the performance of content and its reach among different demographics. Market Research: Understand audience demographics and how they engage with our page. Data Science Projects: Apply machine learning algorithms to predict content performance or audience growth. Acknowledgments This data is free to use for any purpose, including commercial use. However, if you use this dataset, please give credit to The Data Analytics Academy by mentioning us or linking to our LinkedIn page: The Data Analytics Academy.

Inspiration This dataset can be used to explore various aspects of LinkedIn analytics, such as identifying trends in audience engagement, understanding content performance, and predicting follower growth.

A complete list of live websites using the Visitors Traffic Real Time Statistics technology, compiled through global website indexing conducted by WebTechSurvey.

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

EdTech Statistics: The EdTech enterprise has been growing at a remarkable evolve in recent years, and by 2023 the market revenue is going to be $142.37 billion approximately. According to current market reviews, the worldwide market is anticipated to reach a cost of $549.6 billion by means of 2032, with a CAGR of 14.2% from 2024 to 2033. North America presently dominates the global educational Tech market, with a sales proportion of 36%, attributed to massive-scale investment through challenge capitalist investments and personal fairness traders. The corporate digital marketplace is expected to develop a valuation of $27.5 billion in 2023 with a CAGR of 10.5% and $44.6 billion by the end of 2028. In this text, we will delve deeper into the Educational Technology statistics for 2023, along with the total range of players inside the industry, country-wise statistics, leading platform facts, and future records. We may even discover the recognition of these platforms and provide some interesting statistics approximately the industry. So, let's dive in and take a better look at the booming Educational Tech enterprise. Key Takeaways (Reference: grandviewresearch.com) As of 2023, the full marketplace worth of Education Technology is looking ahead to be $142.37 billion. The international Educational Tech marketplace is predicted to attain a value of $421 billion by 2032. North America dominates the global market, with a revenue proportion of 36%. In this newsletter, we are able to explore the records for 2023, together with marketplace percentage, utilization information, demographics, and internet site traffic sources. Over the last 5 years, the demand and searches have improved by 232% in this sector.

We provide location data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and location insights. We help marketers, agencies, and platforms build precise location audience segments, optimize location targeting, attribute locations, and understand cross-device journeys. Our continuously updated location datasets deliver real-time location insights that power smarter location-based campaigns and future-ready strategies.

Leverage our location data solutions for the following use cases: - Location Data Validation & Model Building - Cultural & Seasonal Campaign Insights - Targeted, Data-Driven Location Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Location Data Attributes - Enrich CRM - Personalize Location Audiences - Fraud Prevention - Location Audience Curation

Access the largest and most customizable location data segments with AdPreference today. Supercharge your needs with unique and enriched location data not found anywhere else.

For more information, please visit https://www.adpreference.co/

Digital technology and Internet use, website traffic strategies, by North American Industry Classification System (NAICS) and size of enterprise for Canada from 2012 to 2013.

We provide audience data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and audience insights. We help marketers, agencies, and platforms build precise audience segments, optimize audience targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated audience datasets deliver real-time audience insights that power smarter campaigns and future-ready strategies.

Leverage our audience data solutions for the following use cases: - Audience Data Validation & Model Building - Cultural & Seasonal Audience Campaign Insights - Targeted, Data-Driven Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Audience Data Attributes - Enrich CRM - Personalize Audience - Fraud Prevention - Audience Curation

Access the largest and most customizable audience data segments with AdPreference today. Supercharge your needs with unique and enriched audience data not found anywhere else.

For more information, please visit https://www.adpreference.co/

This social media content dataset is simulate realistic influencer posts across multiple popular platforms, reflecting diverse content types, sponsorship details, audience demographics, and engagement metrics. The dataset contains over 52,000 rows representing individual content posts generated over the past two years. It includes a balanced distribution of sponsored and non-sponsored content, with detailed disclosure information to support transparency studies and analyses. The variety of platforms, languages, content categories, and audience demographics makes this dataset ideal for exploring influencer marketing dynamics, content performance analytics, disclosure practices, and audience segmentation in social media research.

Dataset Features

id: Unique identifier for each content post (starting from 1).

platform: The social media platform where the content was posted. Values: YouTube, TikTok, Instagram, Bilibili, RedNote.

content_id: Unique ID for each content piece (e.g., content_0, content_1, …).

creator_id: Unique identifier for the content creator, cycling through 5000 distinct creators.

creator_name: Username of the content creator.

content_url: URL pointing to the content.

content_type: Format of the content. Values: video, image, text, mixed.

content_category: The main theme or niche of the content. Values: beauty, lifestyle, tech.

post_date: Timestamp of the post, randomly distributed over the past two years.

language: Language of the content, with probabilities favoring English. Values: English, Chinese, Spanish, Hindi, Japanese.

content_length: Length of the content in seconds (for video) or word count (for text), varying by content type.

content_description: Textual description or caption of the content.

hashtags: A comma-separated string of hashtags used in the post (0 to 5 tags).

views: Number of views (simulated via a Poisson distribution).

likes: Number of likes received.

shares: Number of shares.

comments_count: Count of comments on the post.

comments_text: Aggregated text of comments (0 to 5 comments concatenated).

follower_count: Number of followers the creator had at the time of posting.

is_sponsored: Boolean indicating whether the post is sponsored.

disclosure_type: Disclosure type regarding sponsorship for sponsored posts. Values: explicit, implicit, none (non-sponsored always 'none').

sponsor_name: Name of the sponsoring company if sponsored, else 'Not sponsors'.

sponsor_category: Sponsorship industry category. Values: cosmetics, electronics, fashion, food, gaming, travel or 'Not sponsors'.

disclosure_location: Where sponsorship disclosure appears in the post. Values: video, caption, hashtags, none (non-sponsored always 'none').

audience_age_distribution: Predominant age group of the audience. Values: 13-18, 19-25, 26-35, 36-50, 50+.

audience_gender_distribution: Predominant gender of the audience. Values: male, female, non-binary, unknown.

audience_location: Primary geographic location of the audience. Values: USA, China, India, Japan, Brazil, Germany, UK, Russia.

The Sales and Advertising dataset typically contains historical data related to sales performance, advertising spend, and marketing efforts across different channels. It includes features such as advertising budget allocation across platforms (TV, radio, online, print), sales revenue, target audience demographics, campaign start and end dates, and geographic regions. This dataset is valuable for analyzing the impact of advertising strategies on sales, conducting A/B testing, optimizing marketing budgets, and forecasting future sales trends. It is commonly used in machine learning and data analysis for tasks like regression modeling, customer segmentation, and ROI measurement.

We provide audience data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and audience insights. We help marketers, agencies, and platforms build precise audience segments, optimize audience targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated audience datasets deliver real-time audience insights that power smarter campaigns and future-ready strategies.

Leverage our audience data solutions for the following use cases: - Audience Data Validation & Model Building - Cultural & Seasonal Audience Campaign Insights - Targeted, Data-Driven Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Audience Data Attributes - Enrich CRM - Personalize Audience - Fraud Prevention - Audience Curation

Access the largest and most customizable audience data segments with AdPreference today. Supercharge your needs with unique and enriched audience data not found anywhere else.

For more information, please visit https://www.adpreference.co/

We provide audience data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and audience insights. We help marketers, agencies, and platforms build precise audience segments, optimize audience targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated audience datasets deliver real-time audience insights that power smarter campaigns and future-ready strategies.

Leverage our audience data solutions for the following use cases: - Audience Data Validation & Model Building - Cultural & Seasonal Audience Campaign Insights - Targeted, Data-Driven Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Audience Data Attributes - Enrich CRM - Personalize Audience - Fraud Prevention - Audience Curation

Access the largest and most customizable audience data segments with AdPreference today. Supercharge your needs with unique and enriched audience data not found anywhere else.

For more information, please visit https://www.adpreference.co/

We provide audience data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and audience insights. We help marketers, agencies, and platforms build precise audience segments, optimize audience targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated audience datasets deliver real-time audience insights that power smarter campaigns and future-ready strategies.

Leverage our audience data solutions for the following use cases: - Audience Data Validation & Model Building - Cultural & Seasonal Audience Campaign Insights - Targeted, Data-Driven Advertising - Travel & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Audience Data Attributes - Enrich CRM - Personalize Audience - Fraud Prevention - Audience Curation

Access the largest and most customizable audience data segments with AdPreference today. Supercharge your needs with unique and enriched audience data not found anywhere else.

For more information, please visit https://www.adpreference.co/

We provide interest data across the web with 30+ enriched attributes, including demographics, devices, web activity, intent and interest insights to understand what audiences are consuming online. We help marketers, agencies, and platforms build precise interest segments, optimize interest targeting, attribute locations, and understand cross-device audience journeys. Our continuously updated interest datasets deliver real-time interest insights that power smarter campaigns and future-ready strategies.

Leverage our interest data solutions for the following use cases: - Interest Data Validation & Model Building - Cultural & Seasonal Interest Insights - Targeted, Data-Driven Advertising - Interest & Location-Based Targeting - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Augment Interest Data Attributes - Enrich CRM - Personalize Interest Audiences - Fraud Prevention - Interest Audience Curation

Access the largest and most customizable interest data segments with AdPreference today. Supercharge your needs with unique and enriched interest data not found anywhere else.

For more information, please visit https://www.adpreference.co/