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.

In 2021, expenditure on third party audience data in the United States amounted to ** billion U.S. dollars, out of which **** billion was spent on data itself and *** billion on audience data activation solutions.

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.

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

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

In a study on the usage of third-party marketing data in the United States it was found that in 2020, industry professionals in the country spent *** billion U.S. dollars on transactional audience data. Demographic data cost marketers around 4.4. billion dollars that year.

In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

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.

Redmob delivers low-latency, privacy-compliant global mobile digital audience data, helping you reach the right people when and where it matters.

Built for adtech platforms, brands, agencies, and data buyers, Redmob gives you real-time access to rich mobile user profile data, enriched with 30+ custom attributes. From smarter segmentation to market insights, it supports strategies that drive real results, whether you're building audiences, optimizing campaigns, or analyzing consumer behavior.

Use Cases

Redmob equips you with the insights to boost performance, sharpen targeting, and understand your market at scale and in real time.

• Enrich first-party data to personalize campaigns
• Find new audiences similar to your most valuable users
• Set up smarter suppression and retargeting via DSPs
• Analyze market trends using behavior signals
• Segment users by demographics, app usage, device type, and more

Key Benefits

• 30+ enriched fields: app behavior, geo, device, and more
• A full 360° view of users across devices and platforms
• Low-latency access perfect for programmatic and real-time use cases
• Scalable infrastructure for large-scale audience segmentation
• Privacy-compliant, anonymized targeting at scale

Low-latency, mobile audience data with 30+ enriched fields. Enhance your first-party data, audience targeting, personalization, and market insights at scale.

• 1.6 million US contact
• 181k US Construction businesses
• 900k deliverable B2B email addresses
• 1.5 million B2C linkages (business personas linked to consumer personas)
• 1.7 million MAIDs yield 75% onboarding match rates
• B2B Marketing Data

• Digital Audience Data on 120M US Business Contacts
• Intent Data Signals for 35M US businesses
• Advertising Data of 100M+ B2C linkages
• B2B Marketing Data
• 100M+ MAIDs yield ~75% onboarding match rates
• B2B Technographics and Firmographic elements available

The US Consumer Audience Segmentation file has 280 million+ U.S. consumers clustered into bubbles based on their household income, generation, marital status, and environment (urban-suburban or rural-town).

According to Cognitive Market Research, the global audience analytics market size is USD 6.30 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 11.8% from 2024 to 2031.

Market Dynamics of Audience Analytics Market

Key Drivers for Audience Analytics Market

Rising Adoption of Digital Tools- An explosion in digital data is forcing firms to examine their audience targeting strategies in light of the growing number of online businesses and customers. Many businesses nowadays aim to increase client involvement and loyalty through targeted, individualized marketing campaigns. Targeting certain demographics with hyper-specific advertising is made easier with the use of audience analytics.


Businesses are recognizing the importance of audience analytics in gaining a competitive advantage in the audience analytics market.

Key Restraints for Audience Analytics Market

Raising consciousness about the need for data privacy and enacting stringent legislation are impeding the expansion of the audience analytics market.


The high investment is hindering the expansion of the audience analytics industry.

Introduction of the Audience Analytics Market

Audience analytics is the practice of collecting and analyzing data on a target audience in order to learn more about their demographics, interests, and habits. Organizations and corporations can use this data to get in front of the right people with the right messages. Business digitization and the proliferation of targeted marketing are driving the audience analytics industry forward. Marketers are taking advantage of advanced analytics to understand their audiences’ habits and tastes better as the number of online interactions between brands and consumers continues to rise. In addition, businesses may leverage AI tools and big data technology to rapidly handle massive amounts of data, which in turn helps them find valuable insights that guide their marketing efforts. More and more businesses are using advanced analytics tools to understand their customers better and provide them with personalized content in order to comply with strict data protection requirements and foster personalized interaction. Data privacy requirements are accelerating market growth are becoming stricter, and organizations of all sizes now have an easier time collecting, analyzing, and interpreting audience data because of modern audience analytics systems.

Digital Audience Measurement Market size was valued at USD 21 Billion in 2023 and is projected to reach USD 43.5 Billion by 2031, growing at a CAGR of 8.6% during the forecast period 2024-2031.

Global Digital Audience Measurement Market Drivers

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

Growing Digital Advertising Spending: The surge in digital advertising spending is a crucial driver for the Digital Audience Measurement Market. As more businesses allocate larger portions of their marketing budgets to online advertising, the demand for accurate and insightful audience measurement tools increases. Advertisers seek to optimize their campaigns and ensure that marketing efforts are effectively reaching target audiences. Consequently, businesses are investing in technologies that can provide real-time analytics, audience insights, and performance metrics. This shift enhances the demand for robust measurement solutions that can help advertisers understand audience engagement and behavior, thereby supporting data-driven decision-making and improving ROI.

Proliferation of Digital Content: The exponential growth of digital content across platforms is significantly influencing the Digital Audience Measurement Market. With the rise of streaming services, social media, and user-generated content, consumers are consuming more digital media than ever before. This shift demands tools that can accurately measure who is consuming this content, how, and when. Businesses and content creators require deep insights into audience behaviors and preferences to tailor their offerings and marketing strategies effectively. As digital content continues to proliferate, the need for comprehensive audience measurement solutions becomes increasingly critical, driving adoption in various industries, including entertainment, marketing, and retail.

Global Digital Audience Measurement Market Restraints

Several factors can act as restraints or challenges for the Digital Audience Measurement Market. These may include:

Data Privacy Concerns: Increasing concerns over data privacy and the implementation of strict regulations, such as GDPR and CCPA, pose significant restraints on the Digital Audience Measurement Market. Businesses must navigate complex compliance requirements, leading to challenges in collecting and analyzing user data. With rising user apprehensions about data collection practices, companies may face difficulties in obtaining consent, ultimately impacting the richness and accuracy of audience data. This regulatory environment can hinder the deployment of effective measurement tools, pushing businesses to invest more in compliance rather than innovation, thus slowing market growth and limiting the effectiveness of audience measurement strategies.

Fragmentation of Platforms: The fragmentation of digital platforms presents a formidable restraint for the Digital Audience Measurement Market. With a multitude of social media networks, streaming services, and other online platforms, measuring audience engagement across disparate sources becomes increasingly complex. This fragmentation hampers the ability of measurement tools to aggregate and analyze data comprehensively, leading to inconsistencies and gaps in insights. Additionally, different platforms often utilize varying metrics and audience definitions, complicating cross-platform comparisons. As a result, marketers may struggle to derive actionable insights, limiting their effectiveness in targeting and engaging audiences across the diverse digital landscape.

OAN helps you reach gamers across the world. Our gaming audience data offers categorized audience segments into gamer behavior and gaming trends. This powerful dataset provides a deep understanding of the gaming industry by delivering unique categories such as: demography, interest, hardware, spenders, genres and titles, e-sports fans and players.

By understanding this data, businesses can make data-driven decisions to optimize their marketing strategies, game development, and monetization efforts.

The Gaming Taxonomy contains a broad scope of Gaming related topics, based on the user's browser and mobile app activity through the last 30 days. There are also gamer audiences categorized by specific Hardware Products and Brands, based on the Intent of these devices' purchase. Furthermore, 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 Themes (e.g. Historical), which are 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.

Gaming audience data is just a part of all audience data we provide. We deliver millions of users’ profiles gathered globally and grouped into IAB-compliant segments. You can choose which target groups you want to reach. 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.

Audience Targeting Software Market Outlook

The global market size of the Audience Targeting Software market is poised for substantial growth, projected to escalate from USD 3.5 billion in 2023 to an estimated USD 12.7 billion by 2032, reflecting a CAGR of 15.4% during the forecast period. The primary growth drivers for this market include the increasing adoption of digital marketing strategies, the rising necessity for personalized customer experiences, and the growing utilization of big data and analytics.

One of the significant growth factors propelling the Audience Targeting Software market is the heightened focus on personalized marketing. Businesses today are increasingly recognizing the importance of tailoring their marketing efforts to individual consumer preferences and behaviors. The advent of advanced analytics and AI-driven insights allows companies to understand and predict consumer needs more accurately, thereby enabling more effective and customized marketing campaigns. This personalization not only enhances customer engagement but also significantly boosts conversion rates, thus driving market growth.

Furthermore, the surging adoption of digital platforms and the proliferation of internet users play a pivotal role in the expansion of the Audience Targeting Software market. As more consumers engage with brands online, the volume of data generated increases exponentially. This data, when analyzed effectively, provides valuable insights into consumer behavior, preferences, and trends. Consequently, businesses are increasingly investing in audience targeting software to harness this data, optimize their marketing strategies, and gain a competitive edge in the crowded digital marketplace.

Another critical growth factor is the integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) in audience targeting software. These technologies enable more sophisticated data analysis, predictive analytics, and real-time decision-making capabilities. AI and ML help in identifying patterns and trends that may not be apparent through traditional data analysis methods, thereby allowing businesses to make more informed and timely marketing decisions. This technological advancement is expected to significantly drive the market's growth over the forecast period.

Account-Based Advertising Software is becoming increasingly vital in the realm of audience targeting. This type of software allows businesses to focus their marketing efforts on specific accounts rather than broader audience segments. By leveraging detailed data and insights, companies can create highly personalized advertising campaigns that resonate with key decision-makers within target accounts. This approach not only enhances the precision of marketing efforts but also improves the efficiency of resource allocation, ensuring that marketing budgets are spent on high-value prospects. As businesses continue to seek more effective ways to engage with their most important clients, the demand for Account-Based Advertising Software is expected to grow, further driving innovation and development in this area.

In terms of regional outlook, North America holds a substantial share of the Audience Targeting Software market, driven by the presence of major market players and the region's early adoption of advanced marketing technologies. Additionally, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This rapid growth can be attributed to the increasing digital transformation initiatives, the burgeoning e-commerce industry, and the rising number of internet users in countries such as China and India. Europe also presents a significant growth opportunity, supported by stringent data protection regulations and the increasing focus on personalized marketing strategies.

Component Analysis

The Audience Targeting Software market can be segmented by component into software and services. The software segment dominates the market, driven by the increasing need for sophisticated tools that enable businesses to analyze large volumes of data and derive actionable insights. Advanced features such as real-time analytics, predictive modeling, and machine learning algorithms are integral to modern audience targeting software, making it a critical component of digital marketing strategies. The continuous evolution of software capabilities, including integration with other marketing platforms and enhanc

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

Consumer Intelligence: Comprehensive demographic, lifestyle & purchase data from 140M+ consumers across 8,000+ brands. Deterministic transaction-based modeling delivers 70% ROAS increase vs traditional targeting through 150+ behavioral segments.

Solution Publishing by Allforce delivers comprehensive programmatic and digital audience segments designed specifically for sophisticated B2B marketers and advertisers. Our data product combines multiple powerful datasets that enable more precise targeting, improved engagement, and higher campaign performance.

Extensive Data Coverage

Comprehensive Business Contact Database: Access to 120 million US business professionals Business Intelligence: Detailed data on 35 million US companies Intent Signal Integration: Real-time buying signals that reveal active research behavior B2C Connections: Over 100 million B2B-to-B2C linkages that connect professional and personal identities Mobile Reach: 100+ million Mobile Advertising IDs (MAIDs) with 75% onboarding match rates

Advanced Targeting Capabilities

Our solution delivers the critical data points you need for sophisticated audience development:

Technographic Insights: Understand technology ecosystems and adoption patterns Firmographic Details: Company size, industry classification, revenue metrics, and growth indicators Professional Context: Job roles, seniority levels, departmental affiliations Cross-Device Mapping: Reach your audience across all their devices and platforms

Strategic Marketing Advantages

Precision Targeting: Create highly segmented campaigns that connect with exactly the right audiences Enhanced Campaign Performance: Leverage intent signals to engage prospects at the perfect moment Unified View: Connect business and consumer personas for consistent multi-channel messaging Data-Driven Optimization: Make strategic decisions based on comprehensive audience insights

Solution Publishing by Allforce transforms your programmatic and digital advertising strategy by providing the audience intelligence needed to deliver the right message to the right professional at the optimal time—maximizing engagement while improving ROI.

Contact us today to explore how our programmatic audience segments can elevate your digital marketing strategy.