See why marketing and research professionals from 90+ countries choose Kimola over Mention to collect and analyze social media & web conversations.
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3,000+ growth-obsessed teams from 90+ countries
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Kimola can collect and analyze social media conversations by themes with a high accuracy rate, whereas Mention offers only basic analysis based on numeric data rather than truly understanding conversations to deliver customer insights.
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.
"Most tools only provide basic sentiment analysis — a simple positive, negative, or neutral score for each comment. Kimola goes far beyond that. Kimola automatically clusters conversations by themes with sentiment too, allowing you to instantly see what customers are talking about and why. "
Analyze social media feedback by themes, cluster conversations automatically to reveal customer insights.
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 automatically clusters conversations by themes with sentiment too, allowing you to instantly see what customers are talking about and why. "
Most tools only send raw content to your inbox — no context, no interpretation, no executive summary. You receive the data, but not the insights. Kimola gives you more. Get alerts when conversation volume spikes or when negative sentiment increases, plus daily reports that include an executive summary.
Upload excel files and analyze truly any type of customer feedback—reviews, surveys, app-store comments, support tickets, e-commerce feedback, social posts, and more. Regardless of the format or source, process all feedback seamlessly and turn it into clear, actionable insights.
Scraping feedback from multiple sources and analyzing instantly from e-commerce sites, review platforms, mobile app stores, rating platforms saves valuable time and makes the research process far more efficient and effective.
Kimola offers the whole process to collect, scrape, analyze and report social media feedback. Analyze with one click, export to PDF, Powerpoint, Excel, CSV and more.
Kimola not only analyzes social media feedback automatically but also generates structured pain points, feature requests, usage motivations and maps the customer journey,
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 collecting and 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.
Kimola gives you deeper customer insights by not only tracking social mentions like Mention does, but also scraping and analyzing data from e-commerce sites, review platforms, forums, and social networks, all in one place. Its AI-driven thematic analysis, automated summaries, and broader data collection make it a better choice if you need actionable research insights, not just mention alerts and basic sentiment tracking.
Kimola combines automated collection and AI-enabled insights in a single workflow for e-commerce brands. Kimola has integrations with Kohl's, Walmart, JC Penney, Macy's, Costco and many more e-commerce channels.
Mention’s pricing increases with monitoring volume and data sources. Kimola offers significantly more affordable analysis packages, especially for large volumes of customer feedback.
Kimola lets you scrape or collect (continously) product reviews directly from platforms like Amazon, Google Play, App Store, Trustpilot, and more by entering a product URL — no separate scraping tool needed.
Mention offers basic sentiment and keyword analysis. Kimola provides deeper AI-driven thematic analysis, clustering, summaries, and statistical insights.
Mention focuses on publishing, scheduling, and monitoring workflows. Kimola focuses on collecting social, e-comm and web data and analysis of customer feedback with one, unified platform.
Analyze customer feedback in 30+ languages—no AI training needed.
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Join 3,000+ growth-obsessed teams
from 90+ countries.
