The industry measures viewing.Sotto measures intent.
Existing measurement tells you what happened. Whether someone started an episode, whether they finished it, how long they stayed and when they dropped off. It does not tell you why.
A conversation does. When fans spend real time asking questions in their own words, what they ask is a direct account of what they care about, and you do not have to infer it from vague data points.
A dashboard, in your hands, updating as conversations happen.
Not a quarterly deck and not a data export somebody on your team has to interpret. Written in the language your marketing and creative teams already use, and built to answer the questions they already ask.
Where you want it feeding an existing system rather than sitting in another tab, custom integrations are possible.
The panel, on sample data
01
Conversation topics
Themes fans raised on their own, ranked by how often they came up and coloured by how they felt about them.
What fans actually said
Why did nobody on that boat argue with her? It made no sense after everything in episode two.
The ferry scene is the one bit of this season I would rewrite.
I have watched it three times and I still think the crossing was a cheat.
214 of 892 mentions questioned the character logic
02
Trending characters
Characters ranked by mentions, with how fans spoke about each one.
03
Creative signal
What fans invented, misread or asked for, unprompted, inside the conversation.
04
Sentiment
Overall fan sentiment, how far it swings, and the moments that moved it
-0.29
Average sentiment · Slightly negative
0.33
Emotional volatility · Medium
100%
Answer coverage · in canon
Emotional peaks
05
Tone of voice
Emotional tone inferred from language patterns across every session
Detected emotions
06
Engagement and fandom depth
How deeply fans engage, how much they already know, and who is in the room
61%
Return within seven days
52%
Ask a follow-up question
43%
Knowledge level · Familiar
Conversation depth
Fan type
07
Episode engagement
Sessions and sentiment by episode, in airing order.
08
Activity over time
Daily session volume. Hover a column for the day.
Peak 2,300 sessions
Where fans are talking from
Sample panel. Property names, figures and fan quotations are illustrative. Live deployments report on the rights holder's own titles inside their own environment, and fan records are held under the terms of the access grant.
Sample data, two properties
Passive and active
What measurement gives you today
Did they start it.
Did they finish it.
How long did they watch.
When did they drop off.
The output is historical. A report on something that already happened.
What a conversation gives you
What are they asking.
What confused them.
What are they obsessed with.
What theories are forming.
The output is live. It arrives while you can still act on it.
Imagine an always on, real-time focus group at scale. Say hello to Sotto
Current measurement understands whether people finished an episode. This tells you why.
The four things you learn
01
Mood
How a fandom feels, and how sharply that changes. Which episode landed and which one caused an argument. Sentiment across a season, and the volatility inside it, drawn from what fans actually said rather than from a sample who agreed to be surveyed.
02
What holds attention
Which parts of a world people stay with, and for how long. Which threads they return to unprompted weeks later. Where a conversation deepens and where it stops. Attention measured in engagement rather than in exposure.
03
Where your depth is
Who your most engaged fans are as a group, what distinguishes them, and what they do differently. Useful for knowing which parts of a fandom will carry a new title, and which will not, before you spend against them.
04
What to try next
Fan theories forming in real time. Questions asked so often they amount to a request. Direct routes to ask your audience something and get an answer, without commissioning research. The fastest available read on whether an idea will land.
Data privacy at the core.
Individual fan identity stays with you. The first-party relationship stays with you. Nothing about an identifiable person moves to us or to anyone else, and nothing crosses between rights holders.
What comes back to you is aggregated and de-identified. Patterns across a fandom, not a file on a fan.
We can show you what this looks like against with a demo of Sotto's data platform.
Book a demo →