Analyze customer feedback to automatically get NPS, sentiment analysis, content classifications and summaries.
Kimola is loved by small-mid-sized businesses
and trusted by powerful enterprises across 80+ countries.
3,000+ individuals including product managers, UX researchers,
start-up founders create 5 reports in every 3 minutes at Kimola.
Kimola analyzes customer feedback on any topic, with 6x faster data scraping capabilities.
No AI Training
Whether you need to understand customer opinion about a healthy snack or an electronic product, Kimola needs no training to classify customer feedback. Kimola generates clusters based on the context rather than using pre-defined labels.
No Data Hustle
Every research project starts with customer feedback data, and scraping reviews from leading platforms like Amazon, Google Business, Trustpilot, Tripadvisor, Google Play, and the App Store is a 6x faster process in Kimola.
Export reports as well-designed, ready-to-present files in Excel, PDF and PowerPoint formats.
Analyze datasets without hustling with the training process. There is no need for data annotation or manual labeling, so there is no human error. Drag and drop spreadsheets and get your dataset analyzed and classified automatically in minutes.
Kimola offers Dynamic Classification™ technology, which understands the context and generates clusters with a relevant label name. This way, any dataset in any context can be turned into a research report automatically. This is best for qualitative analysis where data is unstructured, such as online reviews, open-ended surveys, or social media posts.
Learn about dynamic classificationAnalyze multiple languages simultaneously, view the analysis for the whole data, or filter by languages. Leverage our AI that scales for global teams.
Kimola can analyze datasets with rows in different languages. This way, customer experience teams handling multiple regions can seamlessly analyze feedback data from review sites or mobile application stores.
Using Kimola's browser extension, scrape online reviews on various mediums, from Amazon to Trustpilot, Tripadvisor to G2, effortlessly with one click.
Kimola brings the concept of Airsets, which is like datasets but on the cloud rather than a file on your computer. All the online reviews scraped from the internet are stored in the Kimola Cognitive account so they can turn into research anytime.
Meet Airset GeneratorClassify long and complex customer feedback data with more than one label and get the sentiment analysis for each label separately, whether the customer feedback comes from short WhatsApp messages or extended conversations on call centres.
Kimola offers Multi-label Classification Technology™, which splits text based on the context and analyses each part by considering how each part contributes to the overall text. This way, single customer feedback data with more than one topic can be a viable source for research accurately.
Meet multi-label classificationUsing GPT technology, transform customer feedback into powerful marketing materials. Leverage Kimola's Open AI integration and save time by summarizing, creating social media content, generating SWO analysis, and even creating new ideas to create an event.
This integration will help you to leverage customer reviews in a different way than ever. Explore the interpretation gallery to get started.
Explore GPT add-onView the gallery of ready-to-use AI models to automatically classify customer feedback for the most common use cases, like sentiment and hate speech analysis, along with consumer conversations around SaaS products, telco companies, banking industry, mobile apps, games and more. Track KPI’s across CX and product teams to understand what customers think about a specific topic.
Use pre-built sentiment classifiers that are fine-tuned for specific use cases. Categorize sentiment into positive, negative or neutral and understand how customers feel with up to 97% accuracy rate.
Choose one or more pre-built content classifier to quickly sort customer feedback into categories, such as product issues or customer service problems. Get a deeper and more precise analysis using specialized industry models with pre-defined or dynamic labels. Identify what needs improvement, what makes customers happy, and what trends are emerging. Turn messy feedback into actionable insights.
Train custom models with a dataset by only dragging and dropping a spreadsheet. Save 90% time while training comparing to other text analysis tools and leverage the no-code training process.
Kickstart your machine learning model journey by dragging and dropping your well-prepared training set in .xlsx, .xls, .csv, or .tsv formats. Wait while the suitability of your dataset for building a machine learning model is being analyzed. Create models with high accuracy rates. Store your models on the dashboard, edit training set if needed after the initial deployment process with bulk upload feature.
Leverage the AutoML technology to craft machine learning models with unparalleled accuracy rates.Leverage automatically rebuilding process of the model using the same AutoML pipeline, ensuring models stay up-to-date and are constructed with the most suitable statistical methods. Benefit from a streamlined process that prioritizes precision and simplicity in model development.
Learn more about custom machine learning modelsKimola Cognitive is famous for it's no training needed technology.
It’s easy to onboard, affordable to subscribe.
You might be finding Medallia’s text analysis overly complicated and costly, Kimola Cognitive is a much simpler and more affordable alternative. While Medallia is a comprehensive platform for customer experience management, many users report that the initial setup and integration with reporting tools can be challenging, often requiring extensive support from Medallia's in-house services—at additional cost. The platform’s self-service options are limited, making it difficult to customize reporting without extra fees. Kimola Cognitive, on the other hand, offers a plug-and-play experience with no need for training or manual setup, allowing you to start analyzing data instantly.
Medallia's intricate setup and steep learning curve often require extensive training to use the platform efficiently. Many users have expressed frustration with the complexity and time required to adjust settings, which can delay responses to customer feedback and slow down the rate of improvement. Kimola Cognitive solves this problem with an intuitive, award-winning user interface that’s easy to navigate, reducing the time spent adjusting the platform to your needs.
Another pain point with Medallia is its text analytics, which users say struggles with unstructured data and lacks advanced AI tools to analyze feedback. Medallia’s text analysis accuracy is typically between 80% and 85%, while Kimola Cognitive delivers an impressive 95% accuracy rate, ensuring far more reliable insights into customer feedback. Kimola Cognitive also offers multi-label classification, something Medallia doesn’t provide, allowing you to break down and analyze multiple themes within a single review.
For businesses that collect feedback from multiple channels—such as reviews, call-center conversations, and email complaints—Kimola Cognitive makes it easy to analyze all that data efficiently, with no additional fees or complicated setup. If you're looking for a more user-friendly and accurate text analysis solution, Kimola Cognitive is an ideal choice compared to Medallia's more complex and expensive platform.
Kimola Cognitive has been a great find for me. I've purchased and used a few similar products before but Kimola stand-outs with many features.
Kimola Cognitive provides an astonishingly good value by helping in understanding customer sentiments better. This tool is godsent and saves a tremendous amount of time!
I love Kimola for team that listens to ideas of their users, focused on user experience and making things easy and chrome extension.
I've never had such great, complete and patient customer support.... ever! Nothing was too much bother.
Longtime AppSumo buying beast here... Kimola is an interesting tool -- certainly a few holes in their documentation and onboarding, but their customer service makes up for it. Much appreciated!
I am using this to scrape Amazon reviews from competitors and then use their product's weaknesses to develop ours and use it for our copywriting on our landing pages.
Love the tool it really helps analyze reviews with ease. I like the browser extension and the in-house analysis tools it makes it extremely easy.
I was looking for a tool to do some statistical and analytical research for my business and I purchased Kimola Cognitive. Hats off to everyone on the Kimola team! Thank you so much!!!
See how Kimola analyzes and classifies a raw dataset and turns into a PDF report.
Pricing is based on query limit, custom model count and support options.
Generate summaries, SWOT analysis, FAQ list
and even product descriptions inspired by your customer reviews dataset in any size.
Kimola Cognitive offers a more streamlined, plug-and-play experience compared to Medallia, which often requires extensive setup and training. Kimola Cognitive eliminates the need for manual configuration, allowing you to start analyzing feedback immediately with a 95% accuracy rate—far superior to Medallia’s 80-85%. Plus, Kimola Cognitive is more cost-effective, without hidden fees for customization.
Yes, Kimola Cognitive is designed to be highly user-friendly, with an award-winning interface that requires no training. Medallia, on the other hand, has a steep learning curve and often requires users to rely on managed services for setup and reporting. Kimola Cognitive provides an intuitive experience, allowing you to start analyzing data right away without extensive onboarding.
Yes, Kimola Cognitive offers multi-label classification, meaning it can break down feedback into multiple themes and provide sentiment analysis for each aspect. Medallia does not offer multi-label classification, limiting its ability to provide in-depth insights into customer feedback.
Kimola Cognitive delivers an accuracy rate of 95%, significantly higher than Medallia’s 80-85%. This ensures that the insights you gain from customer feedback are more precise and actionable, reducing the need for constant adjustments or reclassification.
Yes, many users find Medallia difficult to customize, and most advanced reporting or customizations require Medallia’s in-house services for an additional cost. Kimola Cognitive is designed for ease of use with no additional fees for customizations, making it much simpler to tailor the platform to your needs.
While users have reported struggles with Medallia’s ability to handle unstructured data and tell stories from text analytics, Kimola Cognitive excels in this area with advanced AI-powered tools and multi-label classification. This allows for better, more nuanced analysis of large volumes of unstructured feedback.
Yes, Kimola Cognitive supports a wide range of integrations, allowing you to easily analyze reviews, call-center conversations, and email complaints from various channels. Medallia’s integration options are more limited, making it harder to seamlessly analyze data from all sources.
Kimola Cognitive offers a more affordable pricing model, starting at $199 for up to 3,000 reviews. Medallia’s text analytics typically comes with higher costs, especially when factoring in the additional fees for managed services and custom reporting.
Kimola Cognitive’s plug-and-play system allows you to begin analyzing customer feedback instantly, without the need for extensive setup or configuration. Medallia’s complex setup process and steep learning curve can slow down the time it takes to implement and analyze feedback, leading to delays in addressing customer concerns.
Kimola Cognitive is ideal for small to enterprise businesses (SMEs) looking for an easy-to-use, highly accurate text analysis platform that doesn’t require complex setup or extra fees for customization. If your main focus is on quick, efficient, and accurate text analysis, Kimola Cognitive is a better fit compared to Medallia’s broader and more complex platform.
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