Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A technology-focused platform designed for consumer insights teams enables the mapping of insights across various media, digital, and shopper interactions, facilitating the creation of emotionally resonant customer experiences while optimizing the customer journey to enhance conversion rates. Additionally, it provides valuable insights into emotion, attention, engagement, and visibility. For UX teams, it offers a usability testing and analytics platform that evaluates attention, engagement, and emotional responses throughout user journeys, allowing for the testing of prototypes, mockups, websites, applications, and chatbots. This platform helps in pinpointing crucial UI elements that attract customer attention, ensuring the delivery of emotionally optimized user experiences that drive higher conversion rates. Furthermore, it leverages Emotion Insights to craft exceptional customer experiences, utilizing Facial Coding APIs to assess emotional responses at scale through single face emotion recognition, in-the-wild multi-face emotion recognition, and recorded video emotion analysis. The platform is capable of testing stimuli across diverse modes and channels such as videos, print advertisements, planograms, package designs, websites, applications, and chatbots, ensuring comprehensive insights into consumer behavior and emotional engagement. This multifaceted approach empowers brands to refine their strategies and create impactful interactions with their audience.
Description
Assessing Emotions for Clearer Understanding. Enhance consumer and user research by utilizing cognitive data. Make informed decisions grounded in emotional insights. The Affect-tag RX solution provides valuable and trustworthy emotional indicators via a secure web service and personal dashboard. These indicators stem from physiological data gathered through the Affect-tag RX mobile app and its specialized smartband. This lightweight data collection tool seamlessly integrates into various research endeavors. Participants remain fully immersed in their experiences, free from any intrusive biases. Our proprietary algorithms process physiological data in just a few minutes, ensuring timely insights for researchers. Ultimately, this approach fosters a deeper connection between data and emotional understanding, leading to more effective decision-making.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$1500 per month
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Affect Lab
Founded
2016
Country
India
Website
affectlab.io
Vendor Details
Company Name
Neotrope
Founded
2007
Country
France
Website
affect-tag.com
Product Features
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
Usability Testing
A/B Testing
No
Annotations
No
Audience Targeting
No
Heatmaps
No
Impression Testing
No
Mobile Testing
No
Moderated Usability Testing
No
Prototype Testing
No
Quantitative Metrics
No
Remote User Testing
No
Reporting / Analytics
No
Surveys and Feeback
No
Video Recording / Transcription
No
Product Features
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
No
Filtered Views
Yes
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
Yes
Media Analytics
Yes
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
Yes
Sentiment Analysis
Yes
Statistical Analysis
Yes
Text Analytics
No
User Research Analysis
Yes