Kubit
Warehouse-Native Customer Journey Analytics—No Black Boxes. No Limits.
Kubit is the leading customer journey analytics platform, built for product, data, and marketing teams who need self-service insights, real-time visibility, and full control of their data—all without engineering dependencies or vendor lock-in.
Unlike traditional analytics tools, Kubit is warehouse-native, enabling you to analyze user behavior directly in your cloud data platform (Snowflake, BigQuery, or Databricks). No data extraction. No hidden algorithms. No black-box logic.
With built-in support for funnel analysis, retention, user paths, and cohort exploration, Kubit makes it easy to understand what’s working—and what’s not—across the entire customer journey. Add real-time anomaly detection and exploratory analytics, and you get faster decisions, smarter optimizations, and more engaged users.
Top enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit for its flexibility, data governance, and unmatched customer support.
Discover the future of customer analytics at kubit.ai
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Bullseye Store Locator
Bullseye is the visionary dealer and store locator platform that wins more clients. Bullseye is more than a standard locator. It allows companies to engage customers through local content, increase lead capture and drive traffic. It also helps them build relationships with agents, dealers, and other partners.
Bullseye partners love because it has SEO-friendly landing pages and automated real-time leads management. Integrate partner pages to your website easily to show their work and build trust with customers.
Bullseye has 20 years of experience and includes all the features that you would expect from a modern locator. These include user-friendly search interfaces and an API, in-depth reports, 3rd-party integrations and extensive tools to manage users, categories, locations, custom data fields, and location management. It is a comprehensive solution that allows you to manage all of your location data and direct customers to dealers, agents, stores, and other locations.
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Spectrum Spatial
Unlock enterprise-level location intelligence by converting data into meaningful insights through versatile and scalable management and analysis of location data. As the volume of location data continues to surge, organizations face the ongoing challenge of efficiently integrating and managing this information to derive insights that benefit the entire enterprise. Spectrum Spatial enables users to leverage diverse data from various databases and file formats seamlessly. This integration facilitates a swift and comprehensive understanding of spatial opportunities and risks through effective location analytics. Thanks to its open architecture and ability to scale, achieving enterprise location intelligence is now feasible, even amidst existing data silos. Once the spatial data is ingested, it can be centrally managed, allowing you to identify and merge the necessary data for a unified, location-aware perspective. This adaptable methodology is further enhanced by user-friendly visualization tools and advanced analytics, ensuring that insights are both accessible and actionable. Ultimately, this approach empowers organizations to harness the full potential of their location data for strategic decision-making.
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Oracle Spatial
In alignment with Oracle's goal of enabling individuals to perceive data in innovative ways and uncover profound insights, Oracle Database now integrates features for machine learning, spatial analysis, and graph capabilities. With an Oracle Database license, users can access these leading-edge functionalities for both development and deployment in on-premise environments as well as Oracle Cloud Database Services. The inclusion of Oracle's spatial database within the converged database framework simplifies the initiation of location intelligence analytics and mapping services for developers and analysts alike. This functionality empowers Geographic Information System (GIS) professionals to effectively implement sophisticated geospatial applications. Furthermore, organizations benefit from the ability to handle various forms of geospatial data, execute numerous spatial analytical operations, and utilize dynamic map visualization tools through the spatial features available in both Oracle Autonomous Database and Oracle Database. Consequently, these enhancements not only streamline data management but also foster greater innovation within the realm of data analytics.
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