V-Count Reviews & Ratings

V-Count

5.0 out of 5 stars

Ratings and Reviews 4 Ratings

Total 5 out of 5 stars
ease 4.5 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 4.5 out of 5 stars

Ratings and Reviews 0 Ratings

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features 0 out of 5 stars
design 0 out of 5 stars
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What is V-Count?

Analytics extends beyond the digital realm, as we inhabit a rapidly evolving world where physical spaces must adjust accordingly. V-Count is dedicated to facilitating this transition by offering a swift and precise approach to counting and analyzing visitors in various physical environments. Our cutting-edge cloud-based Business Intelligence Platform (BIP) and the state-of-the-art Ultima AI sensor empower our offerings with an impressive accuracy rate of 99.9%. Serving a diverse clientele that includes retailers, airports, museums, theme parks, and transportation sectors, our solutions cater to any industry experiencing foot traffic. The dashboards we have created prioritize the needs of our users, featuring customization options and an intuitive design that enables businesses to monitor the performance of each location effortlessly. As we look ahead, the importance of accurately counting people will only grow, solidifying our role in shaping the future of visitor analytics.

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

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

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

V-Count

Date Founded

2012

Company Location

London

Company Website

v-count.com

Company Facts

Organization Name

Gravy Analytics

Company Location

United States

Company Website

gravyanalytics.com

Categories and Features

Foot Traffic Data

Not specified

People Counting

API
Anonymous Counting
Benchmarking
Conversion Tracking
Data Export
Events Statistics
Heatmaps
Mood/Age/Gender Recognition
Reporting / Analytics
Staff Exclusion
Zone / Area Monitoring

Retail Analytics

Not specified

Categories and Features

Consumer Data

Not specified

Foot Traffic Data

Not specified

Market Research

Not specified

People Counting

Not specified

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