RealEye

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Software Status:Active

About RealEye

RealEye is a visual analytics software from RealEye that focuses on eye-tracking technology. It provides features such as heatmaps, gaze plots, and engagement metrics so users can understand viewer behavior and improve content. This tool is designed for marketers, UX designers, and researchers who want insights into how users interact with visual content. It allows users to conduct experiments with real-time data collection and analysis, enabling informed decisions based on user attention patterns. Key capabilities: heatmap generation gaze tracking engagement measurement real-time analytics customizable reports Best for: marketers and designers that need to analyze user interaction with visual elements.

RealEye Details

Vendor

RealEye

Year Launched

2017

Location

Warszawa, Mazowieckie 02-389, PL

Deployment

cloud

Training Options

documentation, videos, live online, in person

Countries Served

All Countries

Languages

English, Spanish, French, German, Italian, Portuguese, Russian, Japanese, Chinese

Users

Business Owners, Marketing Managers, UX Designers, Researchers, Product Managers, Data Analysts

Industries Served

Healthcare, Education, Finance, Retail, Marketing

RealEye's In-App Market Place

Does RealEye have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Accepted Payment Currencies

Usd ($), Eur (€), Gbp (£), Jpy (¥), Aud (A$), Cad (C$), Chf (chf), Cny (¥), Sek (kr), Nzd (Nz$), Zar (R), Rub (₽), Inr (₹), Brl (R$), try (₺), Mxn (Mex$)

Pros & Cons

It's far more affordable and accessible than traditional lab-based eye-tracking, needing only a standard webcam.
Researchers can collect data globally and quickly due to the fully remote, web-browser-based setup.
The platform provides rich, layered data by combining eye-tracking with emotional analysis and survey responses.
Setting up tests and analyzing the results is fast and easy with the user-friendly online dashboard and automated metrics.
The innovative Virtual Shelf Testing feature offers a realistic, scalable way to test retail and product visibility.

Accuracy and precision are lower than specialized, dedicated infrared eye-tracking hardware, especially with participant movement.
The quality of data collected is dependent on the participant's webcam, lighting conditions, and head stability.
Study sessions should be kept short (ideally less than five minutes) to maintain accuracy, limiting long-form research.
A portion of participant data may be deemed unusable due to poor video quality or excessive movement.
Researchers might feel less in control compared to a dedicated lab environment.