Understand your audience from the comments they leave
Your audience tells you what it thinks every day, in public, for free. Most of it is never read, because nobody has time to read a hundred thousand comments. Sence reads all of them and turns them into sentiment, themes and trends your team can act on.
109,416comments read5,956 flagged
Sentencing debate1,204 (1%)
Court process486 (0%)
Coverage tone318 (0%)
Trusted by teams using Sence
The signal is already there. Nobody has time to read it.
Online conversation runs at a volume nobody reads by hand. Your share of it is a few thousand comments a day across four networks, and it arrives fastest on exactly the days you care about most: a launch, a result, an announcement, a mistake.
So teams sample. Someone scrolls the first fifty replies, forms a view and reports it upward as what the audience thinks. That view is set by whoever commented earliest and loudest, and it says nothing at all about the much larger group who read the comments without ever leaving one.
Sentiment in over 45 languages
Sence classifies sentiment in over 45 languages inside the dashboard, and surfaces the drivers behind it, with no manual tagging required.
Around 70% against roughly 97%+
Sence's published comparison puts classic social listening at around 70% accuracy for insight, against roughly 97% or better for conversational intelligence.
Everything arrives, nothing gets sampled
Sence connects to the Facebook, Instagram, YouTube and TikTok channels you already run, and reads every comment on arrival rather than a keyword-matched slice of them. There are no Boolean queries to maintain, so a theme nobody thought to search for still reaches you. The pass that classifies a comment for moderation is the same pass that produces your insight.
- Every comment read on arrival across Facebook, Instagram, YouTube and TikTok
- No Boolean queries and no keyword lists to maintain
- One classification pass feeds both moderation and insight
Sentiment, then the reason behind it
A sentiment score on its own tells you the mood and nothing you can do about it. Sence analyses whole conversations, so sarcasm reads as sarcasm and frustration reads as frustration, then clusters what people are actually talking about into named themes. Each theme carries its own sentiment split, so the number arrives with the reason for the number.
- Brand-calibrated sentiment, with the themes that explain the movement
- Themes clustered from the conversation, not from a keyword list
- Custom tags you define, classified automatically on every comment
Track it over time, and hand it to someone
One week of sentiment is a mood. Sence retains historical data, so you can benchmark conversation shifts over weeks, months or even years, put this launch beside the last one and watch a theme build. Insights are synthesised and quantified rather than dumped as raw comments, which is what removes the hours a team spends compiling a report by hand.
- Benchmark conversation shifts over weeks, months or even years
- See which key voices, influencers and media figures moved a theme
- Ready-to-share reporting instead of manual compiling
Four jobs, one comment stream
The same comment stream answers four different questions. Who your audience is belongs to theaudience intelligence platform. What they feel and why belongs to social sentiment and theme analysis. Who else they name belongs to brand and competitive intelligence. What all of it is commercially worth belongs to monetization insights for communities.
Audience Intelligence
See who is actually in your community: the segments forming, the superfans worth knowing by name and the people everyone else listens to.
Learn moreSentiment & Themes
Brand-calibrated sentiment for every post, and the named themes that explain why the number moved.
Learn moreBrand & Competitive Intelligence
Track how your brand is mentioned in your own comments, and benchmark it against the competitors your audience names.
Learn moreMonetization Insights
Turn engagement and sentiment into evidence your commercial team can take into a renewal conversation.
Learn moreThe pass that hides a comment is the pass that counts it
Most teams buy moderation from one vendor and insight from another, then spend the year explaining why the two disagree. Sence classifies each comment once, on arrival, against a taxonomy your organisation defined. That single classification hides what breaches your rules and populates your sentiment, themes, mentions and tags at the same time. Moderation and insight live together rather than in separate tools, so your reporting rests on the same judgement your policy does.
- One classification pass, one taxonomy, two outcomes
- Custom tags you define, tracked dynamically over time
- Sentiment classified in over 45 languages, with no manual tagging
- Historical data retained, so a trend can run for years
- Both products run in a single workflow, so your team is not switching tools
Classified: Personal Hate · Negative
Hidden
Counted → Themes
The rest of the platform
Frequently asked questions
They run on the same classification pass. Sence combines comment moderation through Community Builder with audience intelligence through Community Insights in a single workflow, so the comment that gets hidden and the comment that gets counted are read by the same model against the same taxonomy. Which products you take is part of your quote: pricing is tailored per customer based on comment volume, channel coverage, and product mix.
Sence retains historical data, so you can access, analyse and benchmark conversation shifts over weeks, months or even years. That is what turns a launch week into a comparison instead of a number on its own.
Sence classifies sentiment in over 45 languages, with no manual tagging required. It also reads regional slang and dialect in context, which matters more than vendors admit: a tool trained mostly on US and UK English is the one that misreads an Australian or New Zealand comment section.
Whoever has to answer for the audience. Marketing leads use it to see what content drives engagement, what sparks backlash and where customer intent is emerging. Editors can see which stories the audience genuinely argued about. Commercial teams use it as evidence at renewal time. It is a dashboard, and insights are also available via API or dashboard widgets.
It is shaped around your objectives. Sence filters the noise and delivers the insights that align with your brand's priorities, and the tags themselves are yours to define, so the reporting uses your team's vocabulary. A generic monthly report that somebody has to reinterpret is the thing that makes an insight tool go unopened.
Sence Limited is a New Zealand company and complies with the New Zealand Privacy Act 2020, the General Data Protection Regulation of the European Union and the equivalent laws of the United Kingdom. Some of the personal information collected is processed in New Zealand, which the European Commission and the UK government both recognise as having an adequate level of data protection.




