SafeMatch™ is a cutting-edge methodology offering a scalable household transaction ingestion system that excels in multi-dimensional outcome attribution across multiple advertisers with a unique household focus.
Positioned to easily and effectively resolve first-party data-driven household identity and attribution - SafeMatch™ builds on our patented technology to provide new clarity into customer advertising and transaction journeys - while maintaining privacy and safety compliance.
Advanced Attribution and Learning Capabilities
High Frequency Scalability
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Multi-dimensional outcome attributing capabilities to support intensive buying periods
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Time-sensitive household activity recognition
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Employs time-aware technology to sophisticatedly understand and interpret household activity over time relative to transactions
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Intelligent learning for density attribution:
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Multi-unit dwelling learning algorithms accurately attribute and identify density related to clustered residents and customers.
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Post-Attribution Clarity
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Utilize advanced suppression and removal mechanisms to produce clean and accurate data outputs.
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Superior Technology Integration and Processing
Superior processing power
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Utilizes parallel processing through horizontal warehouse scaling for increased efficiency and speed, compared to traditional sequential processing or traditional vertical scaling.
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Advanced underlying technology integration
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Specially designed software intricately integrated with database hardware. Consists of distributed tables, schemas, and a dynamic query engine for optimal performance.
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Accelerated data operations
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Features parallel indexing, constraint checking, and disk writing capabilities.
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Designed to significantly speed up data loading streams for immediate use and analysis.
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Pre-flight staging zone
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Outputs are made readily available in a supervised pre-flight staging area.
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The staging zone is prepped for various specialized post-processing data analytics and data science
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SafeMatch™
Experience Safe + Secure Attribution with fullthrottle.aiTM