A video heatmap can look self-explanatory: some sections have more color than others. But a colored section does not explain itself. Before using the report in a presentation, you need to know what each mark represents, whose playback it includes and how the legend works.
This guide helps you decode that report. The goal is to describe it accurately and recognize which other reports can be compared with it, before drawing conclusions about the video.
What does a video heatmap represent?
In playback analytics, a video heatmap represents activity along a video’s timeline. Read its documented definition to establish the exact activity being represented. Do not assume that the term means a map of where someone’s eyes looked or where their pointer moved across the image.
Start with two questions: what does one row or mark stand for, and what changes its appearance? The answer should come from the report’s help text or documentation, not from the colors alone.
Identify the reporting unit first
A single-session record and an audience-wide summary answer different questions. The first can describe a particular playback journey; the second combines activity. Treating one session as the audience’s typical experience would require evidence beyond that one record.
For a concrete, platform-specific example, Wistia describes a heatmap as a representation of a single viewing or listening session. Its glossary describes the engagement graph, in contrast, as an aggregate view. Those are Wistia’s report definitions, not definitions of Vidzy’s heatmaps.
When opening an unfamiliar report, identify whether it describes a playback session, a viewer or a combined population. Do not assume that a session equals a unique person, or that an anonymous record identifies a contact. If the unit is unclear, leave it unresolved in your notes instead of choosing the interpretation that fits your story.
Read the legend before naming a pattern
Colors need an explicit key. Avoid labeling a warm-colored section “good engagement” or a pale section “lost interest” unless those words accurately describe the documented measure. A legend describes an encoding, not a judgment about content quality.
Wistia’s official heatmap guide provides a useful example: white denotes unplayed portions, green denotes one play and yellow denotes two plays, with warmer colors for further repeats. It also explains that the percentage at the end counts repeatedly played portions only once. A colored timeline and its summary can therefore describe different aspects of the same session. Do not apply this legend to another product without checking its documentation.
Save the legend with any report excerpt you share. Without it, a colleague may mistake repeat playback for a larger audience or interpret a change of color as a conversion signal.
Separate coverage from repeated playback
Consider a hypothetical video split into ten equal sections. A session plays four different sections, then plays one of those sections again. Under a measure that counts distinct sections reached, coverage is four out of ten. Under a measure that counts all complete section plays, the total is five.
Neither number contradicts the other. They count different things. This is an illustrative accounting example, not a Vidzy calculation, a benchmark or a real customer result.
Before explaining a summary next to a heatmap, establish whether it counts distinct portions, accumulated playback time or something else. Also check how partial plays are handled. A summary label such as “engagement” is not enough to reconstruct its formula.
Check compatibility before comparing reports
Two reports placed side by side can appear comparable simply because both use a timeline. Use the following checks before describing one as higher, lower or improved.
| Check | What must be clear |
|---|---|
| Reporting unit | Whether both reports describe sessions, viewers or aggregates; a single session is not interchangeable with an audience summary. |
| Measure and scale | Whether the marks encode counts, time or percentages, and whether color thresholds stay fixed between reports. |
| Timeline | Whether positions refer to elapsed time or relative progress, and whether the video versions contain the same material at that position. |
| Grouping | Whether a mark represents a moment or a wider interval; an interval does not identify an exact second. |
| Included activity | Whether the reports cover the same relevant audience and period, and how repeats enter the calculation. |
For example, if a revised introduction moves a demonstration later, the same timestamp no longer points to the same content. Align the relevant sections before comparing them. Similarly, if each chart chooses its own color thresholds, the darkest tile in one report need not represent the same quantity as the darkest tile in another.
If these details are unavailable, describe each report separately. A qualified description is more useful than a precise-looking comparison built on incompatible measures.
Attach a short reading card to the report
Before sharing a heatmap, add a plain-language note containing:
- Report: the platform and report name.
- Unit: what one record represents.
- Legend: what color, height or another visual mark encodes.
- Timeline: the video version and how positions are grouped.
- Summary: what any adjacent total or percentage counts.
- Comparison limit: which differences prevent a direct comparison.
Use explicit wording such as “This report represents one playback session; its colors show the documented repeat categories.” Use that sentence only when both statements are verified. Otherwise, note the missing definition and request it from the report owner.
Using heatmaps with Vidzy
Vidzy is an embeddable video player with video analytics and heatmaps. Those capabilities do not establish a particular legend, aggregation method or formula. This article does not assign the Wistia example or the hypothetical section-counting method to Vidzy.
Start with one report you need to explain and complete its reading card. Resolve the missing definitions before comparing it with another report or forwarding a cropped chart to your team.