Powerful enough to handle your most complex research, yet the easiest-to-use software on the market.
See the ComparisonSee why marketing and research professionals from 90+ countries choose Kimola over other tools in the market.
Kimola classifies customer feedback without any training, fine-tuning, or label configuration. It detects patterns in real customer language and forms contextual clusters on its own, giving teams an immediate, unbiased view of motivations, expectations, and pain points.
Aspect-based Sentiment
Theme Detection
Need more control? Deploy custom AI models tailored to your business needs or use industry-specific models for high-accuracy classification.
Just paste links from any of 30+ supported sources like Trustpilot, Amazon, Tripadvisor, Walmart, the App Store, and Google Play. Kimola collects and analyzes all reviews instantly, giving you immediate access to real customer signals.
Kimola also tracks conversations across social media, news sites, blogs, and forums keeping you informed about discussions around your product or service. You can monitor customer feedback in real-time by tracking mentions or reviews.
Collect and centralize feedback.
Make sense of large-scale feedback.
Turn data into meaningful insights.
Find out how Kimola can improve your feedback analysis process.
Uncover customer needs, likes, and dislikes from product reviews and feedback.
Analyze customer reviews and ratings to optimize online shopping experiences.
Extract insights from social media conversations and online discussions.
Make sense of free-text survey responses with AI-powered analysis.
Understand customer sentiment and concerns from chat and call transcripts.
Identify workplace trends and employee sentiment from internal feedback and reviews.
Kimola is the #1 market research platform for SMBs to discover what people need, love, and dislike by analyzing customer feedback.
Not directly. Social listening tools are designed for real-time monitoring and help you track what people are saying across the internet at any moment. Kimola, on the other hand, focuses on why people say what they say.
It analyzes the underlying motivations, emotions, and themes within feedback, helping teams understand deeper insights rather than surface-level trends. Kimola includes keyword tracking and the ability to collect publicly available social data, but its main purpose is research.
No. Survey tools collect answers by asking questions, while Kimola analyzes the answers after they have been collected.
Many of Kimola's users upload open-ended survey responses to uncover themes, identify pain points, and understand the insights behind the numbers. But Kimola itself does not send surveys or gather responses. It works with existing data and publicly available customer feedback, making it a complementary research tool rather than a replacement for survey platforms.
Kimola supports CX teams but is not a traditional CX platform.
CX tools typically focus on metrics such as NPS, CSAT, and ticket volumes. Kimola takes a different approach by revealing why customers feel the way they do, which issues matter the most, and where the greatest opportunities lie. C
X teams use Kimola to uncover motivations and identify patterns that are not visible through dashboards alone. This makes Kimola a powerful analysis engine that enhances CX work.
Traditional market research teams often rely on manual coding, tagging, and long project cycles. Kimola replaces this with automated, AI-driven analysis that produces research-grade insights in minutes. It offers the depth of qualitative research with the speed and affordability of modern software.
Companies use Kimola when they want high-quality insights without outsourcing or waiting for agency timelines.
Kimola is used by product teams, customer experience teams, researchers, marketers, founders, and consultants who need to understand customer behavior and expectations. These teams choose Kimola because it centralizes feedback collection, analysis, and insight generation in one place and eliminates the need for manual tagging or time-consuming qualitative work.
Analyze customer feedback in 30+ languages—no AI training needed.
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Product Feedback Analysis
E-commerce Feedback Analysis
Social Feedback Analysis
Open-ended Survey Analysis
Chatbot and Call Center Conversational Analysis
Employee Feedback Analysis