Factori Audience | 1.2B unique mobile users in APAC, EU, North America and MENA

Description

We collect, validate, model, and segment raw data signals from over 900+ sources globally to deliver thousands of mobile audience segments. Various data categories. -Brand Shoppers Methodology: Thi...s 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: Methodology: 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 is available for the US. -Geo-Behavioural: Methodology: This category has been created based on the high intent of users in terms of 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: Methodology: This segment is created based on users interest on 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: Methodology: 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. Recency of data can range from 7 to 14 days depending on the product category. -Events: Methodology: 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: Methodology: 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: Data Type: Consumer Profiles - Available for US and Australia Methodology: This 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: Data Type: Consumer Profiles - Available for US and Australia Methodology: This 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: Data Type: Consumer Profiles - Available for US and Australia Methodology: This audience has been created based on users' declaring their marital status, parental status, and overall number of children via a survey or registration. These audiences are currently available in the USA. -Financial: Data Type: Consumer Profiles - Available for US and Australia Methodology: 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: Data Type: Consumer Profiles - Available for US and Australia Methodology: This audience has been created based on their behavior in different spending behaviors in different business verticals available for the USA. -Clusters: Data Type: Consumer Profiles - Available for US and Australia Methodology: Clusters 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; Data Type: Consumer Profiles - Available for US and Australia Methodology: This 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.

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