All Comparisons
Kimola vs. Medallia
See why marketing and research professionals from 90+ countries choose Kimola over Medallia as an advanced customer experience analysis tool.
Create a Free Account No credit card · No commitment
See why marketing and research professionals from 90+ countries choose Kimola over Medallia as an advanced customer experience analysis tool.
Create a Free Account No credit card · No commitment
3,000+ growth-obsessed teams from 90+ countries
create 5 reports in every 30 minutes at Kimola.
Kimola stands out as the only platform that delivers end-to-end feedback intelligence — collecting, scraping, analyzing, clustering, summarizing, and reporting customer feedback instantly — without requiring enterprise integrations, setup, or manual labeling.
Multi-label classification is an analysis methodology that assigns multiple labels to each review, capturing every relevant aspect mentioned. This approach reveals all the topics a customer refers to, providing a deeper and more accurate understanding of their experience.
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.
Insights are only as valuable as the analysis behind them. Misinterpreted feedback can lead to wrong conclusions, wasted resources, or missed opportunities. Kimola delivers one of the highest accuracy rates in the text analysis world, achieving over 90% accuracy across 30+ languages. This makes Kimola the #1 tool for reliable, actionable 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.
Analyze social media feedback by themes, cluster conversations automatically to reveal customer 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 is designed for everyone—from small teams to large enterprises. With transparent plans starting at $900 for 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. Medallia does not offer native keyword or hashtag-based social media monitoring. Kimola does, allowing you to track conversations across Instagram, X, TikTok, YouTube, blogs, forums, and news sites instantly.
No. Medallia cannot collect Instagram or Facebook DMs natively. Kimola can, by connecting your social accounts to pull DMs, comments, and mentions in real time.
Not natively. Medallia’s text analytics is designed for surveys, not high-volume social feedback. Kimola automatically clusters social conversations into themes for instant insight discovery.
No. Medallia does not provide multi-label topic analysis. Kimola does, capturing every aspect mentioned in each comment.
No. Medallia does not scrape e-commerce or rating sites. Kimola does, tracking reviews from 20+ platforms automatically.
Medallia offers basic sentiment (positive/neutral/negative).
Kimola offers both aspect-based sentiment, and overall sentiment telling you what customers talk about and why they feel that way, if they will churn or not.
No. Medallia is not built for instant data scraping or ad-hoc research. Kimola provides instant research features, collecting and analyzing data from multiple sources in minutes.
Medallia typically sends signals or raw feedback. Kimola sends daily executive summaries, volume spikes, and sentiment alerts with context.
Analyze customer feedback in 30+ languages—no AI training needed.
Create a Free Account No credit card · No commitment
Join 3,000+ growth-obsessed teams
from 90+ countries.
