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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 DataSpark?

We convert mobility data into significant insights that enable companies to make informed choices. With our extensive APIs, customized mobility reports, and a committed team of data scientists, businesses can discover new avenues for expansion. Our detailed analysis focuses on both online and offline customer behaviors, particularly within the banking and finance industries. We offer a wide range of mobility data and telecommunications solutions, including applications, reports, and data consultancy services. By analyzing and visualizing movement patterns from multiple hotspots, we support the development of effective health policies. Furthermore, our use of telecommunications data provides valuable insights into consumer demographics and shopping behaviors. Our proficiency in handling large-scale telecommunication data also helps optimize capital expenditure investments efficiently. We partner with you to identify the most appropriate solutions tailored to your specific requirements, so don’t hesitate to contact us. DataSpark specializes in the processing of extensive geospatial and temporal mobility data, delivering actionable intelligence on individuals and locations while upholding rigorous data privacy and security standards. Our dedication to innovation guarantees that you receive top-tier insights within the industry, paving the way for strategic advancements in your operations. Through our collaborative approach, we ensure that your unique needs are at the forefront of our service offerings.

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

Has API

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
Online Training
On-Site Training

Company Facts

Organization Name

Gravy Analytics

Company Location

United States

Company Website

gravyanalytics.com

Company Facts

Organization Name

DataSpark

Date Founded

2014

Company Location

Singapore

Company Website

www.dsanalytics.com

Categories and Features

Consumer Data

Not specified

Foot Traffic Data

Not specified

Market Research

Not specified

People Counting

Not specified

Categories and Features

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