At Factori, we gather various data sets from leading publishers, data platforms, online services, and data aggregators globally, linked to consumers, places, and businesses. We combine this data with public and private sources to derive interests, intent, and behavioral attributes. Our proprietary algorithms clean, enrich, unify, and aggregate these data sets for use in our products. We categorize our audience data into consumable categories such as interest, demographics, behavior, geography, etc.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, Game Genre, Title and Studio segments. However, we provide also plenty of specific User Types, which contain e.g. Hardcore Gamers, Big Spenders or Parents of Gamers. There are also audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Moreover, we offer segments for Virtual Reality, interest in Gaming Subscriptions, Payments, Micropayments, Devices and Platforms. We also cover the area of E-sports Enthusiasts and Fandoms Members. In spirit of looking beyond simple game genres, we categorize Games according to their Theme (e.g. Historical), which is definitely important aspects of user experience and purchase decisions. Since Mobile Gaming is a very important part of the Gaming Industry, we distinct special Mobile Gaming segments, which are analogous to the ordinary Gaming segments, with additional categorizations of the Telecommunication Network Providers.

Our data base include millions of profiles divided into popular categories. You can choose which target groups you want to reach. Segments based on users' interests, purchase intentions or demography. Contact us to check all the possibilities: team@oan.pl

How you can use our data?

There are two main areas where you can use our data: • marketers - targeting online campaigns With our high-quality audience data, you can easily reach specific audiences across the world in programmatic campaigns. Show them personalized ads adjusted to their specific profiles. • ad tech companies - enriching 1st party data or using our raw data by your own data science team

We are ready for a cookieless era. We already gather and provide non-cookie ID - for example Universal IDs, CTV IDs or Mobile IDs.

Durée d'écoute quotidienne de la télévision, Parts d'audience des chaînes de télévision, Les 50 meilleures audiences de la télévision par genre

As of February 2025, Meta's largest audience were women and men aged 25 to 34 years, with each group making up 12.2 percent of users, respectively. Overall, less than 15 percent of Meta's audience, which includes platforms Facebook, Instagram, and Messenger, were aged between 65 years and above.

DRAKO is a Mobile Location Audience Targeting provider with a programmatic trading desk specialising in geolocation analytics and programmatic advertising. Through our customised approach, we offer business and consumer insights as well as addressable audiences for advertising.

Mobile Location Data can be meaningfully transformed into Audience Targeting when used in conjunction with other dataset. Our expansive POI Data allows us to segment users by visitation to major brands and retailers as well as categorizes them into syndicated segments. Beyond POI visits, our proprietary Home Location Model determines residents of geographic areas such as Designated Market Areas, Counties, or States. Relatedly, our Home Location Model also fuels our Geodemographic Census Data segments as we are able to determine residents of the smallest census units. Additionally, we also have audiences of: ticketed event and venue visitors; survey data; and retail data.

All of our Audience Targeting is 100% deterministic in that it only includes high-quality, real visits to locations as defined by a POIs satellite imagery buildings contour. We never use a radius when building an audience unless requested. We have a horizontal accuracy of 5m.

Additionally, we can always cross reference your audience targeting with our syndicated segments:

Overview of our Syndicated Audience Data Segments: - Brand/POI segments (specific named stores and locations) - Categories (behavioural segments - revealed habits) - Census demographic segments (HH income, race, religion, age, family structure, language, etc.,) - Events segments (ticketed live events, conferences, and seminars) - Resident segments (State/province, CMAs, DMAs, city, county, sub-county) - Political segments (Canadian Federal and Provincial, US Congressional Upper and Lower House, US States, City elections, etc.,) - Survey Data (Psychosocial/Demographic survey data) - Retail Data (Receipt/transaction data)

All of our syndicated segments are customizable. That means you can limit them to people within a certain geography, remove employees, include only the most frequent visitors, define your own custom lookback, or extend our audiences using our Home, Work, and Social Extensions.

In addition to our syndicated segments, we’re also able to run custom queries return to you all the Mobile Ad IDs (MAIDs) seen at in a specific location (address; latitude and longitude; or WKT84 Polygon) or in your defined geographic area of interest (political districts, DMAs, Zip Codes, etc.,)

Beyond just returning all the MAIDs seen within a geofence, we are also able to offer additional customizable advantages: - Average precision between 5 and 15 meters - CRM list activation + extension - Extend beyond Mobile Location Data (MAIDs) with our device graph - Filter by frequency of visitations - Home and Work targeting (retrieve only employees or residents of an address) - Home extensions (devices that reside in the same dwelling from your seed geofence) - Rooftop level address geofencing precision (no radius used EVER unless user specified) - Social extensions (devices in the same social circle as users in your seed geofence) - Turn analytics into addressable audiences - Work extensions (coworkers of users in your seed geofence)

Data Compliance: All of our Audience Targeting Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

The size and share of this market is categorized based on Type (Cloud Based, On Premises) and Application (Large Enterprises, SMEs) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

Audience Analytics Market Outlook

The global audience analytics market size was valued at USD 3.2 billion in 2023 and is projected to reach USD 10.8 billion by 2032, growing at a CAGR of 14.5% during the forecast period. The surge in digital advertising and the growing need to understand consumer behavior are significant factors contributing to this market's growth.

The increasing adoption of data-driven decision-making processes across various industries is one of the primary growth factors driving the audience analytics market. Companies are increasingly relying on audience analytics to gain insights into consumer preferences, behaviors, and trends. This data enables firms to tailor their marketing strategies more effectively, thus boosting engagement and conversion rates. Moreover, the rise of social media platforms has created a massive amount of user-generated data, which is a goldmine for audience analytics. These platforms allow businesses to track consumer sentiments and preferences in real-time, providing a competitive edge in the market.

Another crucial growth factor is the technological advancements in artificial intelligence (AI) and machine learning (ML). These technologies are pivotal in enhancing the capabilities of audience analytics tools. AI and ML algorithms can process vast amounts of data at unprecedented speeds, offering deeper and more accurate insights. This not only improves the precision of audience analysis but also makes real-time analytics feasible. As a result, businesses can respond to market changes and consumer needs more promptly, thereby improving customer satisfaction and loyalty.

The rise of mobile and digital media consumption has also significantly contributed to the growth of the audience analytics market. With the proliferation of smartphones and high-speed internet, consumers are more connected than ever before. This has led to a surge in digital content consumption, providing a wealth of data for analytics. Companies are leveraging this data to understand viewing patterns, content preferences, and engagement levels across different demographics. This information is invaluable for content creators, advertisers, and marketers to optimize their strategies and maximize ROI.

Regionally, North America holds a dominant position in the audience analytics market, followed by Europe and the Asia Pacific. The presence of key market players, coupled with high adoption rates of advanced technologies, contributes to North America's leadership. Europe is also a significant player due to the stringent data protection regulations which enhance the reliability of audience data. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid digital transformation and increasing internet penetration in emerging economies like China and India.

In the retail and e-commerce sector, the use of Retail Analytics Software is becoming increasingly prevalent. This software enables retailers to gain a comprehensive understanding of consumer behavior by analyzing data from various sources such as online shopping patterns, in-store purchases, and customer feedback. By leveraging these insights, retailers can optimize their inventory management, personalize marketing strategies, and enhance the overall shopping experience. The ability to predict trends and customer preferences allows retailers to stay ahead of the competition and meet the ever-evolving demands of their customers. As the retail landscape continues to evolve, the integration of advanced analytics tools is essential for driving growth and maintaining a competitive edge.

Component Analysis

The audience analytics market is segmented by component into software and services. The software segment includes various analytics platforms and tools that businesses use to gather, process, and analyze audience data. These software solutions are pivotal in transforming raw data into actionable insights. They include real-time analytics, predictive analytics, and sentiment analysis tools, among others. The increasing demand for comprehensive analytics solutions is driving the growth of this segment. As businesses aim to gain a competitive edge, the adoption of advanced software tools that offer in-depth insights into audience behavior is on the rise.

Services, the other component segment, involve consulting, implementation, and support services. These services enable bu

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.

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

Audience Analysis Market is Segmented by Application (Sales & Marketing, Customer Experience), End-User Industry (BFSI, Telecom & IT, Healthcare, Government, Media & Entertainment, Retail), and Geography (North America, Europe, Asia-Pacific, and Rest of the World). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Discover the perfect third party audience data with OAN. Our audience databases provide access to millions of users’ profiles, organized to maximize your reach with the world's best audience data.

What you can do with our audiences: Hyper-local targeting: Reach users based on their location.

Visit-based segmentation: Leverage our extensive POI database to build audiences based on visits to specific categories (e.g. grocery stores, clothing shops, fitness centers) or brands (e.g., Nike, Zara, Sephora). We have more than 200 categories and 10k brands.

Behavioral interest profiling: Identify audiences using ZIP-code-level analysis of real-world movement patterns. Our taxonomy includes + segments (e.g., fashion lovers, gym enthusiasts, pet owners), each scored using both national and regional affinity indexes.

Audience Gyeongjun

## Overview

Audience Gyeongjun is a dataset for classification tasks - it contains Day Night Hevp QnMz annotations for 687 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Audience Analytics Market size was valued at USD 4.21 Billion in 2024 and is projected to reach USD 9.21 Billion by 2031, growing at a CAGR of 11.34% from 2024 to 2031.

Global Audience Analytics Market Drivers

Growing Adoption of Digital Marketing: Companies are spending more on digital marketing initiatives as a result of the expansion of digital platforms and channels. The need for these kinds of solutions is fueled by audience analytics, which offer insightful data on customer behavior, preferences, and engagement across many digital platforms. Increasing Focus on Personalization: In order to improve consumer engagement and loyalty, businesses are realizing the value of personalized marketing. Businesses can create more individualized and targeted marketing efforts by using audience analytics to better understand the segments of their audience. Growth of AI and Big Data Technologies: To extract actionable insights from the growing amount, diversity, and speed of data created by digital interactions, sophisticated analytics techniques are needed. Artificial intelligence (AI) algorithms and big data technologies are used by audience analytics systems to evaluate massive datasets and derive useful insights about audience behavior. Demand for Real-Time Analytics: Businesses need real-time information to make swift, well-informed choices in today's fast-paced digital environment. Businesses may react swiftly to shifting customer behavior and market trends by utilizing audience analytics tools with real-time monitoring and analysis features. Growth of Online Retail and E-commerce: As e-commerce platforms proliferate, a huge amount of data is generated from online transactions, website visits, and social media interactions. E-commerce companies may increase sales and revenue by better understanding consumer preferences, making better product recommendations, and streamlining the customer journey with the use of audience analytics technologies.

The global audience analytics industry is projected to grow from $5.04 billion in 2025 to $12.96 billion by 2033, at a CAGR of 12.10%. This growth is attributed to increasing demand for audience insights from businesses across various end-user industries, such as BFSI, telecom & IT, healthcare, media & entertainment, and retail. Audience analytics allows businesses to better understand their target audience, identify their pain points and preferences, and tailor their marketing campaigns accordingly. Moreover, the growing adoption of digital platforms and the proliferation of data-driven decision-making is further propelling the market growth. The rise of social media, e-commerce, and mobile devices has generated vast amounts of data, which businesses can leverage to gain insights into their audience behavior. Key players in the audience analytics industry include SAS Institute Inc., JCDecaux Group, IBM Corporation, Google LLC, Cxense ASA, Adobe Inc., Akamai Technologies, Oracle Corporation, and comScore Inc. These companies offer a wide range of audience analytics solutions, including data collection and analysis, segmentation, profiling, and reporting tools. Recent developments include: June 2022: Alfi, an artificial intelligence visual recognition SaaS advertising platform, unveiled the introduction of AI Audience Analytics. This innovative tool is designed to tackle substantial challenges in gauging digital out-of-home audience metrics and campaign performance., February 2022: StatSocial, a social audience insights platform, launched an enhanced edition of its audience analytics solution, Silhouette. This latest release boasts a range of pioneering features and utilities, empowering marketers with deeper insights into their customer base and strategies for effective engagement across major social platforms.. Key drivers for this market are: Huge Demand for Personalised Content, Strong Focus on Competitive Intelligence. Potential restraints include: Complexities in Analysis. Notable trends are: Media & Entertainment is Expected to Experience Major Market Share.

The charts shows the share of marketers worldwide who believed their organization targeted audiences effectively with use of data as of May 2018, by business type. According to the study from Quantcast, 83 percent of global direct brand marketers believed their company was effectively using first-party data to target audiences, while 65 percent said the same about their use of third-party data.

The size and share of this market is categorized based on Type (Sales and Marketing Management, Customer Experience Management, Competitive Intelligence) and Application (Media and Entertainment, Retail and Consumer Goods, Telecommunication and ITES, Travel and Hospitality, BFSI, Healthcare and Life Sciences, Manufacturing, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

The number of total desktop and mobile visits to Google.pl fluctuated over the observed period of time. Reaching over 201 million reach in March 2024.

As of January 2025, the share of combined advertising reach across Facebook, Instagram, and Messenger among female audiences aged between 25 and 34 in Saudi Arabia was 15.1 percent. The proportion of male audiences was at 28.9 percent for the same age group.

Audience Intelligence Platform Market size was valued at USD 3.6 Billion in 2023 and is projected to reach USD 12.8 Billion by 2030, growing at a CAGR of 15.6% during the forecast period 2024-2030.

Global Audience Intelligence Platform Market Drivers

The market drivers for the Audience Intelligence Platform Market can be influenced by various factors. These may include:

Expanding Digital Advertising: Audience Intelligence Platforms are being driven in large part by the growing trend towards digital marketing and online advertising. These platforms let marketers and advertisers better identify and target particular consumer segments.

Data-driven Decision-Making: Organizations are depending more and more on data to guide their decisions. Businesses can improve their strategy by using important insights on consumer behavior, preferences, and trends that are provided by audience intelligence platforms.

E-commerce's rise: As e-commerce has expanded, there is a greater need than ever to identify and target particular consumer demographics. E-commerce companies may increase client interaction and optimize their marketing efforts with the aid of audience intelligence platforms.

Social Media Influence: Social media has a big influence on how people shop. In order to assess user interactions and sentiments, audience intelligence systems frequently interface with social media platforms. This allows firms to modify their marketing messages appropriately.

Improvements in AI and Machine Learning: As these fields develop, Audience Intelligence Platforms will be able to offer more accurate and nuanced insights. This results in more effective marketing strategies and more precisely targeted advertising.

Regulatory Compliance: Adoption of Audience Intelligence Platforms that guarantee adherence to data protection rules and regulations may be prompted by the growing emphasis on data privacy and regulatory compliance.

Globalization of Businesses: As companies grow internationally, they must comprehend the many audience groups that exist in various geographical areas. There might be a rise in demand for audience intelligence platforms that provide insights into global marketplaces.