Sentiment analysis that tells you how buyers feel, in plain language
Track brand sentiment over time across Reddit, X and LinkedIn, with emotion and intent on every mention and a one-line takeaway before any chart. No raw scores to decode.
Mostly positive, and recovering after a dip in r/billing.
Finally moved our metered invoicing to Meter and month-end reconciliation just works now.
RivalBill's usage sync has been off for days. Genuinely looking to switch our billing.
A sentiment score nobody can act on is just a number.
Most tools hand you a sentiment value like 0.04 or a green-yellow-red dial and leave you to guess what it means or what to do. You can see the mood dropped, but not which community soured, what emotion is driving it, or whether anyone is actually ready to buy. By the time you piece it together from a dashboard, the moment has passed. GrowthMeteor reads sentiment the way a person would and leads with the takeaway.
- ×Raw sentiment scores you have to decode instead of plain mood
- ×No emotion or buying intent attached to a negative mention
- ×Sentiment shifts in one community or region buried in an aggregate
How GrowthMeteor turns sentiment into something you can act on
Read mood in words, not scores
Every mention is scored from very positive to very negative, but you never see the raw number. Sentiment renders as plain labels and colored chips, and each view opens with a one-line takeaway like 'Mostly positive, and getting worse' before any chart.
Mostly positive, and getting worse.
See the emotion and intent behind each mention
Triage tags every mention with the emotion driving it, frustrated, excited or confused, plus an intent-to-act signal like buying, churn risk, migration or advocacy. So a negative mention isn't just 'negative', it's an unhappy customer showing churn risk you can answer.
Third time RivalBill double-charged our metered usage this quarter. We’re done, actively pricing out alternatives this week.
Track trends by community and region
GrowthMeteor compares each window's average sentiment to the period before it and flags real shifts: a recovery worth amplifying, or a community whose mood is dropping. Breakdowns show how sentiment differs by subreddit community and by region, own-brand only, never fabricated.
Built for B2B SaaS teams who need the mood, not a dashboard
If you grow through communities and need to know how buyers actually feel about your category and your brand, GrowthMeteor reads the room for you and tells you what changed in plain language.
Founders
Get a plain-language read on how your brand and category are landing, without staring at a sentiment dashboard.
Growth teams
Spot rising positive topics to ride and unhappy switchers showing churn risk, with the emotion and intent already attached.
Comms and brand
Catch a community's mood dropping or a sentiment recovery early, with the driver emotion and topics explained.
Sentiment & trends questions, answered
How does GrowthMeteor measure sentiment?
Does it detect emotion and intent, not just positive or negative?
Can I see sentiment trends over time and by community?
Will it alert me when sentiment turns negative?
Explore related features
Narratives
Related mentions are grouped into storylines so you can see the narrative forming around your brand.
Learn more →Share of voice
See your share of the conversation against rivals.
Learn more →Crisis detection
The crisis agent detects negative spikes and predicts brewing crises by projecting the rate of negative mentions.
Learn more →Find your next customer in the conversation.
Start a free trial and watch GrowthMeteor surface the high-intent threads where your buyers are already asking.