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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 general taxonomy contains a default scope of data related topics, based on the user's browser and mobile app activity through last 30 days. There are classical Demographic, purchase interests, intentions.
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
In 2021, expenditure on third party audience data in the United States amounted to 22 billion U.S. dollars, out of which 13.3 billion was spent on data itself and 8.7 billion on audience data activation solutions.
Power your products and services using location data from 350M+ devices seen per month in India. Analyze faster, discover hidden patterns and gain deeper insights with Quadrant’s Algorithms.
The depth and breadth of data, allow us to build a portrait of each device ID. We use predictive modeling to understand patterns and then group devices into specific segments. App usage provides behavioral information and tells a precise story on the consumer.
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The global audience measurement systems market size was valued at approximately USD 2.8 billion in 2023 and is expected to reach USD 5.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.1% during the forecast period. This growth is driven by the increasing need for precise data analytics and insights in the media and entertainment industry, which are essential for making informed decisions and targeting audiences effectively.
One of the primary growth factors for the audience measurement systems market is the exponential rise in digital media consumption. As more consumers shift towards digital platforms for entertainment and information, there is a growing need for advanced measurement tools that can accurately capture audience behavior across various devices and channels. This transition from traditional to digital media necessitates more sophisticated and real-time analytics solutions, thus fostering market growth. Additionally, the increasing penetration of smartphones and high-speed internet has augmented the consumption of digital content, further propelling the demand for audience measurement systems.
Another significant growth driver is the burgeoning advertising industry, which relies heavily on accurate audience measurement to optimize ad placements and enhance ROI. Advertisers and media agencies need detailed insights into audience demographics, preferences, and engagement levels to tailor their campaigns effectively. This requires robust audience measurement systems that can provide granular data and actionable insights, thus boosting their adoption. Moreover, the growing trend of personalized advertising, driven by advancements in data analytics and artificial intelligence, is also contributing to the market expansion.
The increase in regulatory requirements regarding transparency and accountability in media ratings is also stimulating market growth. Governments and regulatory bodies across various regions are mandating the use of reliable and transparent measurement systems to ensure fair competition and accuracy in audience ratings. This regulatory push is compelling media companies to adopt advanced measurement solutions that comply with industry standards, thereby driving the market. Furthermore, the integration of advanced technologies such as AI, machine learning, and big data analytics in audience measurement systems is enhancing their capabilities, making them more reliable and efficient.
From a regional perspective, North America holds a dominant position in the audience measurement systems market, primarily due to the presence of major media companies and advanced technological infrastructure. The region's early adoption of digital technologies and high expenditure on advertising are significant factors contributing to its market leadership. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid digitization of media and increasing internet penetration. The growing middle-class population and rising disposable income in countries like China and India are also augmenting the demand for media content, thereby boosting the need for audience measurement systems.
In the audience measurement systems market, the component segment is divided into software, hardware, and services. The software segment holds the largest market share, driven by the increasing demand for advanced analytics tools and platforms that can provide real-time insights into audience behavior. These software solutions are designed to handle large volumes of data, offering features like data visualization, predictive analytics, and automated reporting. The integration of AI and machine learning in these software solutions further enhances their capabilities, allowing for more accurate and sophisticated audience measurement.
The hardware segment, although smaller in comparison to software, is also experiencing steady growth. This includes devices and sensors used for audience data collection, such as set-top boxes, smart TVs, and mobile devices. The proliferation of connected devices and advancements in IoT technology are driving the demand for hardware components in audience measurement systems. These devices provide valuable data on audience interactions and behavior, which can be analyzed to gain deeper insights into consumer preferences and engagement levels.
The services segment encompasses a range of offerings, including consulting, implementation, and maintenance services.
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.
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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.
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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.
As of January 2024, Meta's largest audience were women aged 25 to 34 years, who made up 12.4 percent of users. Men of the same age group followed, accounting for 11.9 percent of users. Overall, less than 15 percent of Meta's audience, which includes platforms Facebook, Instagram, and Messenger, were aged between 65 years and above.
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
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The global audience measurement market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 5.8 billion by 2032, with a Compound Annual Growth Rate (CAGR) of 6.5% from 2024 to 2032. This impressive growth is driven by the increasing need for precise, data-driven insights to optimize advertising and content strategies across various platforms.
One of the primary growth factors of the audience measurement market is the ongoing digital transformation across industries. As digital platforms gain prominence, the need to understand and analyze audience behavior in real-time has become crucial. Companies are investing heavily in advanced analytics and machine learning technologies to gain deeper insights into audience preferences and consumption patterns. This shift towards digitalization is expected to drive the demand for sophisticated audience measurement tools and services, contributing significantly to market growth.
Another key driver is the proliferation of connected devices and the Internet of Things (IoT). With the increasing adoption of smartphones, smart TVs, and other connected devices, audiences are consuming content across multiple platforms and devices. This multi-platform consumption behavior necessitates advanced measurement solutions that can track and analyze audience engagement across various touchpoints. Consequently, companies are focusing on developing cross-platform measurement solutions to capture a holistic view of audience interactions, further propelling market growth.
Moreover, the growing emphasis on personalized advertising and content delivery is fueling the need for accurate audience measurement. Advertisers and content creators are leveraging audience data to tailor their messages and offerings to specific segments, enhancing user engagement and satisfaction. This trend towards personalization requires robust measurement solutions that can provide granular insights into audience demographics, preferences, and behaviors. The increasing demand for personalized experiences is, therefore, a significant factor driving the growth of the audience measurement market.
Regionally, North America holds a dominant position in the audience measurement market, owing to the early adoption of advanced technologies and the presence of major industry players. The region is expected to maintain its leadership during the forecast period, driven by continuous investments in research and development and a strong focus on technological innovation. On the other hand, the Asia Pacific region is anticipated to witness the highest growth rate, supported by the rapid digitalization, increasing internet penetration, and expanding media and entertainment industry. This regional growth perspective underscores the global nature of the audience measurement market, with diverse growth opportunities across different geographies.
In this evolving landscape, Broadcast Media Monitoring has become an essential component for companies aiming to stay ahead in the competitive media environment. By leveraging advanced monitoring technologies, broadcasters can gain real-time insights into content performance and audience engagement. This capability is crucial for optimizing programming schedules and advertising strategies, ensuring that content resonates with target audiences. Furthermore, Broadcast Media Monitoring enables companies to track competitor activities and industry trends, providing a strategic advantage in decision-making processes. As the media landscape continues to diversify, the role of monitoring tools in enhancing operational efficiency and audience understanding cannot be overstated.
The audience measurement market is segmented into two primary components: software and services. The software segment includes a range of analytics and measurement tools designed to collect, analyze, and report audience data. This segment is witnessing significant growth due to the increasing adoption of advanced analytics solutions and the integration of artificial intelligence and machine learning technologies. These tools enable organizations to gain real-time insights into audience behavior, thereby enhancing decision-making processes and optimizing marketing strategies.
Services, the other critical component, encompass various support and maintenance services, consulting, and managed services. With the growing complexi
Comprehensive segments for gaming audience data. Dive into the data of gaming trends with our gaming databases. This dataset is best used for programmatic targeting of gaming audiences based on demographics, interests, and hardware use and more.
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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.
DRAKO's Audience Targeting Data can help you power your programmatic and social media campaigns. Use our 5 year lookback, 4-5 day delay, International Audience Targeting Solution for: Audience Data; Segmentation Data; Visit Data; and Third-Party Audience Data.
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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.
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
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.
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Market Overview: The global audience response system (ARS) market is projected to soar, reaching a market size of $1,716.3 million by 2033, exhibiting a substantial CAGR of 7.7%. Educational institutions, entertainment venues, and businesses drive market growth as they seek to enhance engagement and gather real-time feedback from their audiences. The rising adoption of cloud-based ARS solutions, the integration of artificial intelligence (AI) and analytics, and the increasing demand for mobile-friendly ARS applications further fuel market expansion. Key Market Dynamics: Hardware, software, and services are the primary segments of the ARS market. Hardware comprises devices such as clickers and keypads, while software includes cloud-based platforms and mobile apps. Services cover installation, maintenance, and technical support. Key market trends include the growing popularity of interactive software, the use of ARS in virtual and hybrid events, and the integration of AI and data analytics to personalize interactions and optimize engagement. Moreover, the market is driven by technological advancements, the increasing adoption of digital technologies, and the rising demand for innovative solutions that enhance audience participation and satisfaction.
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The market size of the Audience Targeting Software 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, and Middle-East and Africa).
This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.
DRAKO's Mobile Ad ID Audience Data can help you power your programmatic and social media campaigns. Use our 5 year lookback, 4-5 day delay, 330M+ devices Audience Data in Canada and the US for: Audience Targeting Data; Segmentation Data; Visit Data; and Third-Party Audience Data.
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.
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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.