Aggregate Dashboard
Main Tab
The Main Tab is intended to provide an easy-to-read snapshot of the comments in the aggregate view.
Total Comments in Dataset
Generally self-explanatory, this is the count of the comments available from the data set.
Video Count
Also self-explanatory: this is the number of assets (such as videos) in the dataset. See also the per Video Statistics table.
Sentiment Gauge
Same as Sentiment Gauge, except this readout is a cumulative score across all assets (like videos) in the dataset.
Sentiment Pie
No, this is not some toxic desert, but a pie-chart-style breakdown using our most common grouping.
In the center of the pie (ring) is the total number of comments in the dataset.
The Sentiment Pie is part of our "Main" landing page effort to deliver the most `tl;dr` possible experience on your subscription data.
Sentiment Over Time (SOT)
Same as Sentiment Over Time, except this readout is a cumulative score across all assets (such as videos) in the dataset.
The aggregate SOT line graph is an important signal for the channel. Consider how the audience reacts to your assets and the relationships among sentiment trends.
The deepest insights come from 30 or more days' worth of data. If this type of aggregate data sounds good, consider the subscription plan.
SOT Subscription benefits
With a paid subscription, you will unlock the raw power of aggregate analysis. Indeed, this insight is emblematic of the subscription model and of the CCE's strength.
In aggregate experience, SOT provides insight into sentiment scores over longer periods.
This same display is also available for each asset (such as video) in the Video SOT tab.
How to use this type of graph:
See when sentiment changed
Reveals spikes, drops, and trend direction
Tie sentiment shifts to specific events, posts, or campaigns
Compare multiple assets’ trajectories cumulatively or on a per-asset basis
Shows whether a negative or positive reaction was short-lived or sustained
Exposes patterns a monthly average hides
Understand momentum and reception of the asset
Sentiment Bar Chart
Similar to this Sentiment Bar Chart, but for multiple assets (e.g., videos) over time.
A sentiment bar chart is helpful as a fast distribution view.
For a longer period, users can see:
Whether sentiment is mostly negative/neutral/positive
If the period was polarized or clustered near neutral
How an asset’s audience reaction may be meaningfully different from another’s
Understand if volume is coming from a small extreme group or a broad sentiment
Why is it useful:
Easier to read than raw comments
Better summary than a single average sentiment score
Framing Suggestions:
“How was this asset received overall?”
“Which assets got the most negative vs positive reactions?”
“Was reaction concentrated in extremes or mostly neutral?”
Data Date Range
A simple display card showing the range of the data processed.
Video SOT Tab
The Video Sentiment Over Time (SOT)
SOT by Asset
Using "per video" SOTs, you can correlate the evolution of your content adoption over a longer period and through multiple assets (e,g, videos).
In a subscription, each SOT spans a similar period and enables consistent analysis of sentiment trends across different assets. See these benefits for more ideas on how to interpret this graph.
This Sentiment Over Time per video line graph is populated by user selection from the Per Video Statistics table (below). Simply click on the Update SOT row.
Per Video Statistics (table)
The Per Video Statistics Table is sortable and is used to populate the SOT by Asset line graphs (see above).
Using the table to switch between line graphs lets you see how sentiment and reception vary across the assets in the data set.
Comments List Tab
The comments list tab displays a sortable table of the first-order comments for your asset.
Global Scatter Plot
The Global Scatter Plot tab allows drill-through to comments using filters. In short, this tool is critical for finding comments not on the fringe and representative of your audience.
Aggregate Scatterplot
The Aggregate Scatterplot is all of the comments for all of the assets (e.g. videos) in the dataset.
Note: Only 2000 dots can be on the scatter plot at any time.
Via the provided filter, likes, nth-order comments, date, and sentiment can be filtered to reveal the perfect dataset. At anytime click on a plot (dot) to reveal the contents and details of the comment and a link to take you to that comment directly.
Selected Comment Detail
This card shows the results of any plot (dot) clicked on in the Aggregate Scatterplot. Included in the detail card are basic information about the comment, including the text, like count, reply count, datetime, and a link to the comment (when possible).
Like & Comment Drill Tab
The Like & Comment Drilldown is similar to the per-video drilldown, except that this view aggregates all videos in the dataset's timeframe.
Scatter: Comment > n
The Scatter: Comment > n output plots all of the comments with child comments greater than the selection for the dropdown.
Visually spot the comments worth investigating first.
Show outliers immediately
Helps find high-engagement comments fast
Easy to compare sentiment vs engagement
Reveals whether strong sentiment is actually getting attention
Click the most interesting points instead of scanning a long table
Great for finding comments with lots of replies
Natural path from summary → specific comment detail
Selected Comment Detail
Details result from the selected plot (dot) of the Scatter: Comment > n results.
Scatter: Like count > n
The Scatter: Like > n output plots all of the comments with likes greater than the selection for the dropdown.
Visually spot the comments worth investigating first.
Show outliers immediately
Helps find high-engagement comments fast
Easy to compare sentiment vs engagement
Reveals whether strong sentiment is actually getting attention
Click the most interesting points instead of scanning a long table
Great for finding comments with lots of likes
Natural path from summary → specific comment detail
Selected Comment Detail
Details result from the selected plot (dot) of the Scatter: Like > n results.
User Drilldown Tab
The User Drilldown tab is one of the most insightful outputs we produce. This tab shows all users who repeatedly comment on your content. Some of the most important comments come from loyal followers; this is a secret weapon.
Multi-comment List with Sentiment Bins
This table lists all authors who commented more than once. Sort along any column and click on the author name to populate the detail card below.
Benefits
Identifies the most engaged repeat commenters
Separate casual viewers from true community members
Reveals who is consistently driving the conversation
Spot loyal fans, advocates, and superfans for conversion, acknowledgement, and validation
Help uncover recurring praise, complaints, and requests
Shows which followers may be shaping sentiment in the comment section
Prioritize who to respond to for community building
Surfaces potential ambassadors, creators, or problem accounts
Context behind high comment volume: support, debate, spam, or dissatisfaction
Understand whether heavy commenters are improving or hurting discussion quality
Makes moderation more targeted
Connect comment behavior to content strategy
Give a path from aggregate metrics to the actual audience voice
Drill Through Results
This table contains the results for an author selected in the Multi-comment List with Sentiment Bins card.
Key fields:
Text: The comment text
Comment Link: Takes you to the comment (when possible)
Sentiment score for the comment
Link to the author's videos (channel)
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