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What is VisualEyes?

VisualEyes offers an advanced simulation for eye-tracking studies and preference assessments, achieving a remarkable 93% accuracy with its predictive technology. Instead of relying on conventional five-second tests and eye-tracking methods, attention maps present a superior alternative. Moreover, the clarity score serves as an effective replacement for quick preference evaluations. By measuring attention in crucial areas, it enables expedited A/B testing, allowing for the replacement of time-consuming eye-tracking evaluations with attention heatmaps and streamlining preference testing through the clarity score. With just a simple click, VisualEyes makes it easy to generate insightful user data, integrating effortlessly with your chosen design tools. Creating the ideal digital product can be challenging, but by testing designs prior to each launch, you can improve both your key performance indicators and the productivity of your development team. This reduction in iterations not only boosts satisfaction among your team but also enhances user experience. In the current landscape where attention is paramount, VisualEyes equips you to thrive by harnessing data to set yourself apart from competitors. In this ongoing pursuit of customer engagement, remember that data can serve as your most formidable asset, helping you achieve your goals more effectively. Ultimately, integrating these insights into your workflow not only streamlines processes but also fosters innovation and creativity within your team.

What is Affect Lab?

A consumer insights platform centered on technology, designed specifically for Insights teams, facilitates the mapping of insights across a range of media, digital platforms, and shopper engagements, which in turn helps in crafting emotionally impactful customer experiences while refining the customer journey to increase conversions and collect data related to emotions, attention, engagement, and visibility. Additionally, it acts as a resource for usability testing and analytics for UX teams, allowing them to measure user focus, interaction, and emotional responses as users navigate their experiences, while also enabling the evaluation of prototypes, mockups, websites, applications, and chatbots to identify vital UI elements that capture consumer interest, ultimately resulting in user experiences that are emotionally refined and boost conversion rates. Moreover, the platform harnesses Emotion Insights to develop enhanced customer experiences, employing Facial Coding APIs to evaluate emotional reactions at scale, including single and multi-face emotion recognition in everyday environments, along with recorded video emotion assessments. It also supports the testing of various stimuli across multiple formats and channels, such as videos, print ads, planograms, packaging designs, websites, mobile apps, and chatbots, ensuring an exhaustive analysis of emotional feedback. By employing this comprehensive method, brands can effectively establish a profound emotional connection with their audience, which is essential for nurturing loyalty and sustaining long-term engagement. This innovative approach not only captures vital consumer behavior insights but also drives strategic improvements in marketing and product development.

Media

Media

Integrations Supported

Adobe XD
Figma
Google Chrome
Sketch

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

VisualEyes

Company Location

United States

Company Website

www.visualeyes.design/

Company Facts

Organization Name

Affect Lab

Date Founded

2016

Company Location

India

Company Website

affectlab.io

Categories and Features

AI UX/UI Design Tools

Not specified

Eye Tracking

Not specified

User Research

Not specified

Visual Testing

Not specified

Categories and Features

Emotion Recognition

Not specified

Planogram

Not specified

Usability Testing

Not specified

User Research

Not specified

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