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What is Unacast?

Expand your market understanding beyond the borders of the United States by tapping into Unacast's extensive datasets, which cover more than 80 nations. Our global capabilities allow clients to create data-driven products tailored for diverse markets, utilizing a dependable source of well-organized and consolidated data. Our international solutions provide an efficient and effective means of handling location data while prioritizing privacy and minimizing the necessity for extensive internal analysis. These datasets enable you to study foot traffic trends at your establishments, evaluate trade areas, and investigate cross-visit behaviors. Consequently, this knowledge allows you to make informed decisions regarding site selection or closures and deepens your insight into strategies for enhancing your competitive advantage. Furthermore, you can assess the impact of increased employee engagement, product launches, pricing tactics, and marketing initiatives. By identifying gaps within the local market, opportunities for diversification and growth can be revealed, ensuring you remain proactive in a constantly changing business environment. Ultimately, leveraging this wealth of information not only supports strategic planning but also fosters innovation in your operational approach.

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.

Media

Media

Integrations Supported

PlotProjects
S4M

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Unacast

Company Location

Norway

Company Website

unacast.com

Company Facts

Organization Name

Gravy Analytics

Company Location

United States

Company Website

gravyanalytics.com

Categories and Features

Foot Traffic Data

Not specified

Marketing Automation

Analytics / ROI Tracking
Customizable CTAs
Drip Campaigns
Dynamic Content
Sales Intelligence
Segmentation

Categories and Features

Consumer Data

Not specified

Foot Traffic Data

Not specified

Market Research

Not specified

People Counting

Not specified

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