From raw customer feedback
to enterprise-grade market research
Kimola analyzes reviews, survey responses, support conversations and social discussions the way a research team would.
3,000+ teams in more than 90 countries use Kimola.
Bring the feedback you already have
Reviews, surveys, support tickets, social conversations: Kimola works with the feedback your company already collects, and with the public feedback it doesn't yet.
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Upload your datasets
Upload Excel, CSV or TSV files, or connect Google Sheets, Zendesk and Intercom for continuous analysis.
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Track reviews
Add a link from Amazon, Trustpilot, Tripadvisor, Google Business, the App Store or Google Play, and Kimola keeps collecting new reviews.
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Track mentions
Follow conversations about your brand, competitors and market across social media, news sites, blogs and forums.
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Scrape customer feedback
Use Kimola's browser extension to collect feedback from 30+ sources and send it straight to your account.
Structure it like a research team would
Kimola doesn't force your data into predefined categories. It builds labels from your data, then adds the layers a researcher would look for.
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Dynamic classification
Themes are generated from the context of your data, without AI training or manual labelling.
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Aspect-based sentiment
Each theme in a comment gets its own sentiment, so praise and complaints in the same review are kept apart.
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Dimensions
Classify feedback into research dimensions such as motivations, pain points, unmet needs, personas and experience contexts.
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Custom and industry-specific models
Build models with your own labels, or use ready-made models trained for specific industries.
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30+ languages
Analyze multilingual feedback in a single dataset and get reports in your preferred language.
See what stands out, then decide what to do
Signals
Signals show where feedback differs between groups and how those patterns change over time. A Signal isn't raised because something is mentioned often; it is raised when a pattern appears noticeably more or less in one segment than in another, or when it shifts over time.
How Signals workAction Plans
Action Plans turn findings into next steps. Kimola forms hypotheses about what drives the Signals, checks them against the feedback and evidence in your report, and keeps only the recommendations the data supports.
How Action Plans work
Share research, not raw data
Every analysis becomes a report you can take into a meeting: themes, sentiment, dimensions, Signals and Action Plans in one place.
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Export anywhere
Export reports as PowerPoint, PDF, Excel or CSV files, ready to share with your team or leadership.
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Automated reports and alerts
Get notified about new mentions, influencer involvement or sudden spikes in volume, and receive scheduled reports by email.
Start on your own
Sign up, run Kimola on your own data and see exactly what it produces. Start small and buy as much as you need, without talking to sales.
Scale with an account manager
Larger teams work with an account manager to set up their workspace, build custom models and shape the analysis around their business.
See how teams turn different kinds of feedback into research.
Frequently Asked Questions
About Kimola
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What is Kimola?
Kimola is an AI platform that turns customer feedback into enterprise-grade market research.
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How does Kimola turn customer feedback into market research?
Kimola builds themes from your data instead of using predefined categories, assigns sentiment to each theme, and classifies feedback into research dimensions such as motivations, pain points, unmet needs and personas. Signals then show where patterns differ across segments and over time, and Action Plans turn those findings into recommendations that are checked against the evidence.
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What data can I analyze with Kimola?
You can upload Excel, CSV or TSV files, connect Google Sheets, Zendesk or Intercom, track reviews from platforms like Amazon, Trustpilot, Google Play and the App Store, monitor social media, news sites, blogs and forums, or collect feedback from 30+ sources with Kimola's browser extension.
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What are Signals and Action Plans?
Signals highlight patterns that appear noticeably more or less often in one group than another, or that change over time. Action Plans use those Signals, together with the supporting feedback in your report, to form and test hypotheses and recommend next steps. Recommendations the data doesn't support are left out.
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Which languages does Kimola support?
Kimola analyzes feedback in 30+ languages within a single dataset. Reports can be generated in English, Spanish, Portuguese, French, German and Turkish, and you can filter feedback by language to compare regions.
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Who is Kimola for?
Research, insights, product and marketing teams that want market research depth from customer feedback. Smaller teams use Kimola self-service; larger teams work with an account manager on the same platform.
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How can I get started with Kimola?
Create a free account, bring in your feedback by uploading a file or adding a link, and your first report is ready in minutes.
Turn customer feedback into structured market research in 30+ languages—no AI training needed.
Create a Free Account No credit card · No commitment