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Event Experience Data & Sentiment Analysis

Capture Experience is an innovative capability to measure data that was previously confined to human observation. With the ability to measure attendee engagement, analyze session performance, and compare demographic groups, event planners are able to use event experience data and sentiment analysis information to tailor their future conferences to the statistical reactions of their audience.

Experience Timeline

Sentiment is grouped into ‘Positive’ and ‘Negative’ categories and shown on a timeline of the session. (The room had great positive feedback during the discussion of Work From Home policies on slide 9)

Age Group Participation

Approximate ages are collected through Capture Experience and metrics are provided based on engagement of each age group. (There were more Gen-Z attendees in the room, but the millennials were more engaged with the content)

Gender Participation

Genders are estimated through Capture Experience and metrics are provided based on engagement of each type. (In session ABC, the women in the room were much more engaged than the men)

Emotion Metrics

7 different emotion types (Happiness, Surprise, Contempt, Apathy, Fear, Anger, Disgust) are observed over the timeline of the session and compared over the duration of the session. (The compliance meeting showed much more apathy than the Commission meeting)

Positivity Grade

Each session is graded on Positivity and compared against other sessions in it’s track. (Welcome to Capture had the highest positivity grade in the Onsite Technology event track)

Energy Grade

Not all sessions are meant to elicity positivity. The energy grade is a measurement of all emotions vs. a lack of engagement and scored against the other sessions in it’s track. (The MADD session didn’t do well in positivity, but the energy was ranked first overall in it’s track)

Engagement scores

Metric to define how often attendees were paying attention to the content discussed. (Our opening keynote had a major lack of engagement. We noticed an uptick in session registrations during this time as they were looking through the mobile app during this session)

Speech-to-text reactions

In addition to the experience metrics, Capture collects the audio in the room in order to provide insights of content grades during the session. (The speaker made a political joke at 1:59, causing the split of emotion on the Experience Timeline)

Key moment analysis

Capture compiles all of the information analyzed during each session and provides the event organizer with key moments of interest capture in each session.

Data Models

Expos

Anonymous

Capture analyzes the amount of unique individuals in the scanned environment, providing individual measurements of each attendee without resolving their information with registration data.

Regional

Group

The amount of unique individuals is provided for reporting purposes, but the data only focuses on the collective metrics analyzed in the scanned location.

Trade Shows

Individual

The engagement and reactions are collected for each individual attendee and resolved with the registration data to provide event organizer’s information on each attendee’s optimal journey.

Case Study

Capture Experience Helps Optimize Event Content, Speakers, and Locations

An Open-Source Technology company used the ‘Anonymous’ model of Capture Experience to analyze 32 sessions over three days at their Annual User Conference. When reviewing…