EventRecast
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Feature

Engagement analytics for every captioned event

Stop guessing whether the audience was paying attention. See peak attendance, drop-off curves, the moments that got shared, and which languages your audience actually used.

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If you can't measure it, you can't improve it. EventRecast records engagement signals on every captioned event so you walk out with not just a transcript but a usable picture of how the audience experienced it. Concurrent viewers over time, peak attention moments, drop-off, language split, and the lines that got shared the most.

The data feeds back into program decisions: which sessions to invest in, which speakers to invite back, which topics drew attention, and how content mix should evolve. It also gives sponsors something concrete to evaluate.

What you can measure

Concurrent viewer curve

Real-time and historical concurrent attendance — the count, plus how it ebbed and flowed across the event.

Peak engagement moments

When did attendees lean in? Peak engagement is correlated to caption density, share events, and viewer retention.

Drop-off analysis

Where did attendees leave? See the exact moments where viewer count dropped and correlate with the transcript.

Language split

If translation was on, see which languages attendees actually used. Drives next-event targeting.

Most-shared moments

Which lines got shared? The most-shareable line is a clip-worthy moment your marketing team should pull.

Attention duration

Average and median time per attendee. The number sponsors and program leads care about.

How event analytics work

  1. Captioning automatically captures attendance

    Every viewer connection is anonymously counted as concurrent attendance. No tracking pixels, no PII.

  2. Open the analytics tab

    After the event, the dashboard's analytics tab shows the curves, share events, and language split.

  3. Compare across events

    Aggregate analytics roll up across your event program so you can spot trends in attendance, retention, and language demand.

Why caption-based analytics differ from video analytics

Most event platforms measure analytics on the video stream. EventRecast measures them on the caption stream, which is a different — and arguably better — signal. Captions are read actively; video can be running in a background tab. A viewer who's reading captions is paying attention.

The difference shows up in the data: caption-based concurrent counts are typically lower than video-platform 'attendees' but more accurate as a measure of who's actually engaged. For sponsorship attribution and program decisions, that's the metric you want.

Frequently asked questions

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Related

AI event summaries

Pair analytics with the AI summary for a complete post-event report.

Live captions for conferences

How conferences use analytics to evaluate sessions and sponsors.

Audience engagement

Beyond passive analytics — how to actively engage attendees during live events.