All Comparisons
Kimola vs. Thematic
See why marketing and research professionals from 90+ countries choose Kimola over Thematic 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 Thematic 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 can collect and scrape data directly from social media platforms and e-commerce sites and then analyze it, providing an end-to-end feedback solution. Thematic, on the other hand, only analyzes the data you provide — it does not have built-in scraping or social listening capabilities.
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 analyzes themes automatically just like Thematic, offer multi-labeling for each review and aspect based sentiment to understand customer better.
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.
While Thematic offers aspect-based sentiment, Kimola also provides 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. Kimola automatically clusters conversations by themes with sentiment.
Kimola not only analyzes customer 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 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 can collect and scrape data directly from social media platforms like X, Instagram, and LinkedIn, as well as from e-commerce sites such as Amazon, Kohl’s, and JCPenney. This allows you to automatically gather a large volume of feedback without any manual exporting. Thematic, on the other hand, cannot scrape or collect data on its own; you must first provide the data through CSV, API, or a data warehouse connection before any analysis can be performed.
Kimola can automatically analyze all collected feedback, extracting actionable insights such as themes, sub-themes, sentiment, and trends. It processes social media posts, e-commerce reviews, surveys, and support tickets in a unified platform. Thematic can analyze textual data as well, but it cannot perform any analysis unless the data is provided to it; there’s no built-in data collection.
Kimola provides a complete, end-to-end solution: from scraping or importing data to analyzing it and generating insights that help you understand trends, customer sentiment, and recurring themes. Thematic does not offer this end-to-end workflow — it only performs the analysis on data that has already been collected and supplied externally.
Kimola can track social media mentions in real time because it can directly collect and monitor content from platforms like X, Instagram, and LinkedIn. This makes it possible to quickly spot trends, emerging issues, or positive feedback as it happens. Thematic cannot perform real-time social media tracking; it requires pre-collected data, so monitoring trends or mentions as they occur is not possible.
Kimola can automatically scrape and analyze product reviews from major e-commerce platforms, giving you insights into customer satisfaction, product issues, and feature requests without manual effort. Thematic can only analyze review data if you first provide it; it does not have the capability to scrape or collect reviews from e-commerce sites by itself.
Kimola can combine feedback from social media, e-commerce, surveys, reviews, and support tickets into a single dashboard, providing a unified view of customer sentiment and trends. Thematic can integrate data from multiple sources too, but only after the data has been collected externally; it does not offer automatic ingestion from social media or e-commerce sources.
Kimola offers 36,000 reviews analyzed annually for just $468, making it highly cost-effective for businesses that need frequent review and feedback analysis. In contrast, Thematic charges $25,000 for 25,000 reviews, which is significantly more expensive and scales less efficiently for higher volumes. This stark difference is largely because Kimola includes both data collection (scraping from e-commerce and social media) and analysis in the price, while Thematic only provides analysis and requires you to supply the data, often incurring extra costs for third-party scraping or exports.
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.
