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What is WingArc Retail Analytics?

WingArc Retail Analytics delivers critical insights into consumer behavior, assists in reducing costs, and evaluates the success of marketing campaigns. Leveraging your existing security camera infrastructure, you can track foot traffic patterns and generate heat maps that highlight areas of customer engagement across the store. This system, when integrated with Point of Sale data, enables you to analyze key metrics such as capture rates, conversion rates, and average transaction amounts. Furthermore, it allows you to develop employee schedules that are informed by accurate traffic predictions, promoting optimal resource allocation and enhancing sales potential. With its interactive dashboards and automated reporting capabilities, you gain valuable clarity regarding your store's operational performance. This comprehensive retail analytics platform equips physical retailers with robust tools to dissect in-store customer interactions, granting them a competitive advantage akin to that enjoyed by e-commerce businesses. For the first time, you can analyze data to uncover insights about both current and potential customers, paralleling the analytical depth found in online retail environments. By utilizing your pre-existing security camera system, you can gain a thorough understanding of customer movement in every direction, thereby providing a holistic perspective on both transient foot traffic and shoppers who enter your establishment. This innovative approach not only enhances operational efficiency but also drives strategic decision-making in real-time.

What is SafeGraph?

Spark your imagination with exceptional Points-of-Interest (POI) data, extensive business listings, and a deep dive into visitor behavior across the United States. This rich dataset includes around 5 million POIs, covering every type of location where consumers make purchases, such as well-known retail chains, shopping malls, convenience stores, airports, and beyond. In addition, it offers valuable analytics on store visits, foot traffic data, and demographics associated with these POIs. This information can help answer vital inquiries, including how often stores are visited, where the customers come from, and what other shopping habits they exhibit. Seamlessly integrate your existing POI data with SafeGraph's upgraded Places information, which encompasses business categories, operational hours, visit counts, and peak visiting times. With over 5,000 prominent brands linked to more than 1 million points of interest, this dataset provides an exhaustive overview. The data excludes locations that produce excessive noise, such as ATMs and Red Box kiosks, as well as defunct businesses and irrelevant entities like home-based LLCs without employees. This careful curation ensures you gain only the most pertinent and actionable insights for your business strategies, empowering you to make informed decisions that drive success. By leveraging this comprehensive dataset, you can enhance your understanding of market trends and customer behaviors.

Media

Media

Integrations Supported

Integrations Supported

PlotProjects

API Availability

API Availability

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

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

WingArc

Date Founded

1986

Company Location

Australia

Company Website

wingarc.com.au/industry/retail-analytics/

Company Facts

Organization Name

SafeGraph

Date Founded

2016

Company Location

United States

Company Website

www.safegraph.com

Categories and Features

Foot Traffic Data

Not specified

Retail Analytics

Not specified

Retail Intelligence

Not specified

Categories and Features

Big Data

Not specified

Foot Traffic Data

Not specified

Location Intelligence

Not specified

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