Kogenta transforms fragmented location and movement data into actionable customer insights for advertising and mobility sectors. Their data products enable businesses to understand and identify customer profiles at scale, optimizing marketing campaigns and transport planning through privacy-compliant geo-contextual and movement datasets.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses in the advertising and transport/mobility sectors struggle to derive actionable insights from complex location and movement data. This data fragmentation hinders effective customer profiling, audience segmentation, and strategic planning, leading to suboptimal campaign performance and service delivery.
Solution
Kogenta provides a suite of data products that transform raw location and movement data into clear customer insights. By integrating first-party data with proprietary geo-contextual and movement datasets, Kogenta enables businesses to understand existing customer profiles and identify new ones at scale. Their privacy-compliant approach ensures data integrity and ethical usage, offering a future-proof alternative to third-party cookie-dependent methods. The resulting intelligence supports optimized marketing campaigns, enhanced transport planning, and improved customer engagement across various channels.
Target Audience
Primary customers include advertising agencies, media planners, transport authorities, and mobility service providers seeking to leverage location and movement data for enhanced customer understanding and operational efficiency.
Features
- Proprietary Kogenta Contextual Indices (KCIs) derived from AI-driven analysis of diverse, verified data sources, resolving to granular geographic areas.
- Kogenta Explorer, a GIS platform for media planning and visualization, supporting omnichannel campaign strategies and custom data ingestion.
- Mobility Customer View (MCV) for detailed analysis of transport user patterns and behaviors, aiding resource allocation and service optimization.
- Kogenta Predictor, a machine learning solution for forecasting transport system demand and enhancing urban mobility management.
- SmartSurveys for automated, trip-data-driven customer satisfaction and behavior surveys in the transport sector.
- Privacy Engine technology ensuring GDPR compliance and data anonymization, with no reliance on third-party cookies.
- Kogenta ETL (KETL) for data integration and processing from mobile network data, consented app data (via SDK), and sensor data.
- Managed Services options for clients who require expert operational support for data analysis and insight generation.