Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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Placer.ai
Experience unparalleled insight into consumer movement patterns. Evaluate your business outcomes against both local and far-off competitors. Access data on over 13 million locations and establishments throughout the United States. Examine visitor trends and customer interactions within any retail sector. Determine visitor counts by hour, day, and month, while gaining geographical insights into customer origins and destinations. Uncover demographic profiles, interests, and purchasing intentions of your clientele. Identify key zones driving genuine economic engagement. Monitor customer retention rates and grasp shifting consumer behaviors. Additionally, assess the influence of major events on your business landscape. This comprehensive analysis will empower you to make informed strategic decisions.
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Advan
Advan Research provides a high-quality analytics platform focused on location and transaction data that offers precise, privacy-compliant insights into foot traffic, mobility, and transactions at millions of physical sites globally. By utilizing opt-in geolocation information from hundreds of millions of devices along with credit and debit card transaction data, the platform creates a comprehensive model by integrating curated geofences that encompass over 150 million buildings and points of interest. This advanced methodology enables the generation of detailed metrics such as traffic counts, dwell times, demographic profiles, migration trends, and revenue forecasts for comparative analysis. Their diverse range of products includes innovative tools such as REveal, a self-service GIS dashboard for real estate and traffic analytics, alongside offerings like REI Real Estate Intelligence, SpendView transaction feeds, Patterns+ foot traffic data, REP insights on demographics and migration, and the FiT financial terminal. Users can leverage these tools to visualize, assess, and juxtapose various locations effectively, enhancing their strategic decision-making processes in real estate and retail sectors. This comprehensive platform empowers businesses to gain deeper insights and make more informed choices based on the rich data provided.
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