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What is Gravy Analytics?

Gravy Analytics processes vast amounts of pseudonymous mobile location signals on a daily basis, gathered from millions of devices, to uncover insights into individuals' movements and motivations. With billions of location signals produced each day, their comprehensive events database contextualizes numerous locations and points of interest. The consumer visit data is derived purely from deterministic location information, guaranteeing its accuracy and reliability. They offer validated and refined location datasets that can be accessed via APIs or through batch delivery methods. This allows for actionable insights into real-world consumer behaviors related to foot traffic, attribution, and competitive analysis. By developing location-based audience segments, they enable businesses to implement effective, data-driven advertising campaigns. Gravy Analytics seeks to help companies overcome substantial business obstacles by providing high-quality location data. In order to achieve this, brands and advertisers need contextual understanding to interpret consumer behavior and the motivations behind their movements. The local events and activities we engage in not only provide this essential context but also illuminate our lifestyles, interests, and personal affiliations, thereby enriching the overall data landscape. This enhanced understanding can significantly improve targeted marketing efforts, optimize customer engagement strategies, and foster more meaningful interactions with consumers. Ultimately, the insights gained from such data can drive innovation and influence strategic decision-making within organizations.

What is Araya Visitor Analytics?

Examine the movement patterns of visitors in physical spaces to gain crucial insights into how individuals navigate your environments. Understanding these behaviors allows organizations to improve their operational efficiency, streamline workflows, and reduce both operational costs and missed opportunities. This innovative solution is specifically designed for retailers, shopping centers, and event management firms. Employing a mix of advanced 3D Stereoscopic Vision and Wi-Fi Analytics, we achieve a remarkable 98% accuracy in visitor counts through our advanced stereo vision technology and sophisticated tracking algorithms. The analytics we provide are user-friendly and sourced from data collected via a network of IoT devices. We have successfully aided numerous retailers across the Middle East and Dubai in adopting systems for footfall monitoring, people counting, and Wi-Fi analytics integration. Additionally, our people counting solution in Dubai offers extensive analytics reporting, giving businesses actionable insights to enhance their decision-making processes. In today's competitive landscape, leveraging such technology is essential for businesses aiming to maintain an edge over their rivals. Ultimately, by harnessing these insights, organizations can better anticipate visitor needs and preferences, fostering a more engaging customer experience.

Media

Media

Integrations Supported

Adobe Advertising Cloud
Amazon Web Services (AWS)
LiveRamp
Lotame
Oracle Cloud Infrastructure
The Trade Desk

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Gravy Analytics

Company Location

United States

Company Website

gravyanalytics.com

Company Facts

Organization Name

Araya

Company Location

United Arab Emirates

Company Website

www.arayasolutions.com

Categories and Features

Consumer Data

Not specified

Foot Traffic Data

Not specified

Market Research

Not specified

People Counting

Not specified

Categories and Features

Business Intelligence

Not specified

Foot Traffic Data

Not specified

People Counting

Not specified

Visitor Management

Not specified

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