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by Success.ai

Access to over 1.5 billion unique mobile users across APAC, EU, North America, and MENA regions. This dataset combines raw data signals from 900+ global sources, validated, modeled, and segmented into thousands of mobile audience segments. Key features: -Comprehensive audience categorization including interests, demographics, behavioral, and geographic data -Brand Shoppers segments based on real-world visits to brand outlets -Place Category Visitors segments reflecting high-intent location visits -Demographic data including gender, age, marital status, education (US-specific enhanced data) -Geo-Behavioral segments based on frequency of visits to specific locations -Interest and Intent data derived from online browsing and shopping behavior -Event-related audience segments for sports, culture, and gaming -App usage categorization based on installed mobile applications -Specialized US segments including auto ownership, financial behavior, and B2B audiences Perfect for advertising and marketing campaign ideation, personalized messaging, market intelligence, credit scoring, and retail analytics. Data is collected dynamically and provided monthly with options for pre-made audience segments or custom segments tailored to specific requirements.
15B
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by Success.ai

Factori cross-device data identifies customers across multiple internet-connected devices through encrypted MAIDs and IP addresses. We build comprehensive cross-device data by identifying household users across devices and analyzing their data characteristics to determine intent and interests, enabling advertisers to target viewers on Connected TV platforms effectively. Key features: -3 billion records of cross-device connections -Daily data collection with same-day delivery frequency -One full year of historical data accessible -Household-level device mapping -Anonymous user identification across multiple devices -IP address mapping for household determination -Connected TV viewing patterns and preferences -Cross-platform identity resolution -Comprehensive device usage patterns Wide range of business applications such as consumer analytics applications, cross-device attribution, sales forecasting, and coordinated advertising campaigns. This dataset allows organizations to determine household-level reach, conduct aggregated analysis of household device identities, and ensure consumers don't receive repetitive messaging across platforms. Data is collected dynamically and delivered daily via server-to-server transfer.
30M
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by Success.ai

Factori High Fidelity Mobility data is collected from location-aware partner mobile apps. This dataset includes advanced attributes such as vertical accuracy and altitude measurements to provide exceptionally accurate location intelligence. Key features: -Over 200 billion high-precision location records -Daily data collection with same-day delivery frequency -Enhanced vertical accuracy for multi-level location determination -Altitude measurements for 3D positioning -Comprehensive user demographic information -Anonymous ID linking for privacy protection -Detailed device information -Affluence indicators and economic attributes -Interest categorization and behavioral segments -Travel patterns including visited countries This dataset is used in a wide range of business applications, such as consumer insights applications, targeted advertising campaigns, and retail analytics. All data is collected with explicit opt-in consent and anonymized to ensure privacy compliance. Data is delivered daily with options for custom delivery schedules.
200B
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by Success.ai

Factori Web Data contains fresh web browsing data of users across desktop and mobile devices, indicating search intent, purchase intent, and online category interests. This comprehensive dataset tracks user activity across popular websites worldwide, delivered as a daily feed via server-to-server transfer. Key features: -Over 2 billion records of web browsing activity -Daily data collection with daily delivery frequency -Six months of historical data accessible -Anonymous user identification across devices -IP address data for geographic segmentation -Search query capture for intent analysis -Website category classification -Cross-device browsing behavior patterns -Interest and intent indicators from browsing activity Perfect for personalized targeting applications, data enrichment projects, market intelligence analysis, and fraud detection/cybersecurity initiatives. This dataset allows organizations to analyze web behavior patterns and build highly accurate audience segments based on web activity for targeting ads based on interest categories and search/browsing intent. Data is collected dynamically and provided through suitable delivery methods on daily, weekly, or monthly intervals.
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