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What is Ipsos Retail Performance?

Solutions for counting customers are fundamental to our retail technology portfolio, significantly contributing to the optimization of store operations. These systems go beyond simply tallying the number of visitors; the data they provide empowers retailers to make strategic and operational decisions that impact various areas, including staff allocation, monitoring of market trends, and maximizing the use of retail space. By employing sophisticated sensors and software, businesses can identify times of high traffic, strategically deploy employees to meet demand, and assess the effectiveness of particular displays or product lines. Additionally, with real-time access to foot traffic information and analytical tools, retailers can evaluate the success of their store layouts and marketing strategies, analyzing factors such as customer dwell time, engagement levels, and conversion rates. Our people counting solutions maintain an impressive accuracy rate of at least 95%, allowing businesses to scrutinize foot traffic patterns on an hourly basis, which not only uncovers current consumer behaviors but also aids in forecasting future buying trends. This in-depth insight into customer movement is invaluable, as it can markedly refine operational strategies and bolster overall sales results, ultimately leading to enhanced customer satisfaction and loyalty.

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

KnowledgeHound
Socialgist
TrendSpottr

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

Ipsos

Date Founded

1975

Company Location

France

Company Website

www.ipsos-retailperformance.com/en/

Company Facts

Organization Name

Gravy Analytics

Company Location

United States

Company Website

gravyanalytics.com

Categories and Features

Foot Traffic Data

Not specified

Market Research

Data Management
Email / Online
Panel Management
Survey Management

People Counting

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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