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Video Analytics

One video.
Insights every second.

REACHUM captures learner behavior throughout the video experience. Every video is divided into 50 segments, revealing where learners engage, disengage, rewatch, skip, or struggle.

A REACHUM video engagement heatmap. Each bar is a few seconds; color marks what a real learner cohort did with it.
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A View Count Says They Pressed Play. This Says What They Learned.

The color is what learners did with each segment — not whether the file ran, but how a real cohort behaved, moment to moment.

Hotspot. The segments learners watched most — what genuinely held them.

Drop-off. The exact point people left. Not "they didn't finish" — where, to the second.

Rewatched. The signal no marketing tool reads: a segment learners went back to, because it was hard or it mattered.

This tells you where a concept landed, where it lost the room, and where people struggled enough to rewind. That's the difference between viewer data and learner data.

Streaming vs. Progressive Download

Legacy LMS platforms serve a training video the old way: one large file, downloaded straight off a server and played start to finish. REACHUM streams instead — and that enables detailed measurement.

Measurable

Streaming breaks video into small segments and delivers them to match each user's capability, whether watching on desktop, mobile, or tv screen. The platform sees precisely what each learner did with each segment — watched, skipped, rewatched, abandoned. That segment-level record provides heatmap data. Second-by-second learner behavior isn't a feature an LMS forgot to build — its architecture that it can't produce.

Responsive

Streaming adapts in real time: fast start, instant seeking, smooth playback on a phone or bad hotel wifi. Progressive downloads come in a single version that buffers and freezes the moment a connection can't keep up. For a workforce spread across mixed devices and networks, that's the line between training that plays and training people abandon.

Find the Drop-off. Then Close It.

Knowing where a video loses people is only half the value. Because REACHUM streams, it can place an interaction at the exact second the heatmap shows attention falling away — a question, a decision, a prompt that pulls the learner back before they drift. Measure the gap, then close it in the same medium. Fix the drop-off where it happens.

It's the same pattern behind why videos fail: attention doesn't survive long, passive stretches. The heatmap identifies the fall-off. The platform supplies activities that sustain attention. .

One Layer of the Whole Picture

Video behavior is one signal among many. It rolls up alongside page-level dwell time, challenge scores, and readiness indicators into REACHUM's full analytics suite.

Your Own Video

See how this works. We'll stand REACHUM up on your own content so you can see a heatmap for the people you train. No contract, no credit card, free trial.

See it on your own content →