See why marketing and research professionals from 90+ countries choose Kimola over Chattermill as an advanced customer experience analysis tool.
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3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.
Kimola is designed for all teams — from solo researchers to SMBs to large companies — offering instant, automatic analysis without the need for custom model setup. Chattermill, on the other hand, is built for enterprises and typically relies on custom models tailored for each client, requiring more time, data, and implementation effort.
Kimola offers Auto-Thematic Classification with dynamic, ready-to-use categories that require no training and no coding. Chattermill, on the other hand, relies on custom thematic models built separately for each company or brand, making setup more complex and resource-heavy.
Scraping feedback from multiple sources—such as e-commerce sites, review platforms, and mobile app stores—saves valuable time and makes the research process far more efficient and effective.
While Chattermill offers aspect-based sentiment just like Kimola, Kimola goes beyond that by also providing an “Overall Sentiment” score that reflects the customer’s general emotional state. This helps teams quickly understand churn risk or overall satisfaction without manually interpreting multiple aspects.
While Kimola offers context-based analysis through its Dynamic Classification Technology, Chattermill relies on custom-built models for each company. As a result, custom model accuracy can vary widely between 60% and 85%, whereas Kimola consistently delivers a 97% accuracy rate.
Collect conversations by keywords and hashtags across all digital platforms, from Instagram to news sites, blogs, forums and more.
Collect DM's, comments and brand mentions instantly from multiple sources, Facebook, Instagram, X, Linkedin and more.
Track product reviews from 20+ sources such as Amazon, Google Business, Wildberries, Macy's, JC Penney, Kohl's, Walmart, Costco and more, analyze them by themes and sentiment automatically.
Kimola is designed for everyone—from small teams to large enterprises. With transparent plans starting at $49 and scalable enterprise options, it’s trusted by 1000+ companies across 90+ countries, making it easy to start analyzing feedback and gaining insights immediately.
Kimola needs no AI training to classify customer feedback. It automatically generates clusters based on the context rather than using pre-defined labels.
Scraping reviews from leading platforms like Amazon, Google Business, Trustpilot, Tripadvisor, Google Play, and the App Store is a smooth process in Kimola.
Kimola tracks conversations across social media, news sites, blogs, and forums, helping you stay informed about discussions around your product. Users can also enter links from platforms like Trustpilot, Google Play, and the App Store to continuously monitor user feedback.
For those already collecting user feedback, Kimola allows direct dataset uploads in Excel, CSV, or TSV formats to create structured qualitative research reports. Additionally, users can integrate their Google Sheets, Zendesk, or Intercom accounts, seamlessly connecting existing user interactions to Kimola for in-depth analysis.
Kimola assigns sentiment for each theme in a single user feedback, ensuring you capture every detail—what users like, dislike, and why. Even when a user mentions different topics within the same review, Kimola successfully breaks down feedback into multiple aspects and accurately assigns sentiment to each, so no insight is lost!
Learn about Aspect-based Sentiment Analysis
Kimola's Dynamic Classification™ technology understands context and generates relevant theme clusters without relying on pre-defined categories. It adapts to any dataset, eliminating the need for manual labeling or data annotation. This ensures precise categorization of unstructured feedback from online reviews, surveys, and social media—without human error.
Kimola analyzes large-scale feedback and generates structured executive summaries around key topics and themes. Unlike generic AI-generated text, Kimola offers summaries with sub-sections and with sentiment and content classifications, which provides clarity, focus, and actionable insights.
Learn more about Executive Summary
Kimola analyzes user feedback to reveal what drives purchases, what causes frustration, and how your product is positioned in the market. AI-driven analysis detects patterns across any number of reviews, highlighting key motivations, recurring pain points, and competitive advantages.
Kimola analyzes customer feedback through a four-stage journey framework—Discovery, Purchase Experience, Usage & Support, and Loyalty & Advocacy. By applying its proprietary scoring algorithm, Kimola classifies feedback into these stages to reveal how customers perceive each step, measure satisfaction levels, and pinpoint the critical moments that define brand relationships.
Stay informed without the hassle. Receive automated reports summarizing mentions in their original language. Set up alerts based on keywords, influence levels, or sudden volume spikes, ensuring you never miss a critical mention.
Kimola seamlessly analyzes datasets containing customer feedback in multiple languages. No need to segment feedback based on language—simply upload your dataset, and our AI processes all entries together, delivering insights in a unified format. This allows for a more comprehensive understanding of customer sentiment across diverse markets.
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.
Plans vary by query limits, data tracking, analysis and support options.
Enterprise plans include custom contracts, flexible payment options, a dedicated account manager, role-based access controls, and full API usage. Contact us to learn how Kimola can support your organization at scale.
No. Chattermill requires a custom training process for every company.
Kimola, on the other hand, analyzes your data instantly with no training or setup.
Not really. Chattermill is built for enterprise-level operations with big budgets.
Kimola is designed for all teams, from solo researchers to large companies.
No. Chattermill depends on custom models created for each client.
Kimola offers Auto-Thematic Classification, generating themes dynamically without manual work.
Chattermill’s Lyra is said to outperform more than 80% accuracy, but Kimola consistently delivers a 97% accuracy rate, offering far more reliable results out of the box.
Not instantly. Chattermill requires onboarding, training, and configuration.
With Kimola, you upload or scrape data and get insights within seconds.
Analyze customer feedback in 30+ languages—no AI training needed.
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