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Emotional feedback for Product Analytics.

Behavioral economists proved that more than 66% of human decision and behavior are driven by emotional factors. -- Source Gallup

Evaluate Emotional Engagement

Catch facial expressions when they happen, without interrupting the flow. No need to use an expensive setup. A camera is enough. You receive valuable emotional feedback.

Optimize ROI

Optimize each user interaction with more data gathered within the same amount of time. Get insights on the most relevant emotions to take the right decision and optimize feature usage.

Increase your revenue

Emotional connections with your customers no longer have to be a mystery—they can be a new source of real competitive advantage and growth. Source Harvard Business Review

Our Emotion AI is built for integration

Watch out the video to see how it works in real-time!

Emotion AI for Product Analytics.

While using apps, emotions arise and generate facial expressions that are analyzed in real-time.
Each user has a unique reaction, we turn them into valuable data.
Emotional analysis is accessible for further analysis. You will know when it happens, so that you can find why.
Embrace the success of positive reactions and fix unexpected negative ones!

The Most easy-to-use Facial Expression Recognition Solution for Product Analytics

Attention, Surprise, Confusion, Amusement & more.

Scientifically up-to-date Emotion Evaluation Accuracy

Mood estimation

Global mood is the impression that lasts.

Private by design

Keep your data safe.

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Business case > Product Analytics

Boost your Product Analytics pipeline with Emotion AI

Live Emotion Recognition
Department

Video Product Team

KPI

Improve Feature Discovery

Personalize User Experience depending on the Emotional State

Using the smartphone’s camera, predict the user’s emotional and interaction status, so you can design proactive features, happening at the right time.

What you'll need

Product App team:

Camera Access Granted

User event Records

wifi / data

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Use case in action

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Business Challenge

The primary KPI used by HeartCam product team was to improve feature discovery with their social video sharing app. As their users react emotionally to the videos that they receive, it was shown that the feedback menu options can be personalized for each user.

Solution

To improve feature discovery, HeartCam used Mojo Emotion AI Platform to measure emotional reactions while receiving videos. This allowed them to adjust menu items positioning depending on the user’s mood, so they could improve each user experience individually.

* this is a fictitious company and a hypothetical use case.

Build Emotional Product Analytics in 3 steps

1

Detect

Facial Expressions are evaluated with our API in real time. No video sent to the cloud.

2

Understand

Send data to your prefered Product Analytics Software, like Mixpanel, Amplitude or any other with the appropriate API.

3

Activate

Connect your users flow charts with emotional feedbacks to find the "why", and fix what has to be fixed.

 Book a demo