Analyze customer feedback to automatically get NPS, sentiment analysis, content classifications and summaries.
Kimola analyzes customer feedback on any topic, with 6x faster data scraping capabilities.
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.
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 KPIâs 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.
Itâs easy to onboard, affordable to subscribe.
If youâre searching for a more powerful alternative to Ask Viable, Kimola Cognitive is a top customer feedback analysis platform, designed specifically for small and medium-sized businesses (SMBs) to extract valuable insights from reviews quickly and efficiently. While Ask Viable is popular, it lacks advanced text analysis features. Kimola Cognitive bridges this gap with automated classification, boasting 97% accuracy across 25+ languages, all without requiring manual setup.
With Kimola Cognitive, you can effortlessly generate executive summaries, list key pain points, offer actionable marketing recommendations, identify top product features, and even create FAQs directly from customer feedback. Plus, with pricing starting at just $199 for analyzing up to 3,000 reviews, itâs an ideal and affordable choice for growing teams or businesses looking to scale.
Kimola Cognitive also excels with its multi-label classification feature, something Ask Viable doesnât offer. Multi-label classification allows you to analyze reviews with multiple labels and break down each review into various aspects, delivering sentiment analysis for each aspect in a single review. This level of granularity gives you deeper insights into customer feedback, far beyond what Ask Viable can provide.
Another significant advantage is Kimola Cognitiveâs export options, which include PowerPoint, Excel, and PDF. This makes sharing insights with stakeholders seamlessâa feature not available with Ask Viable.
If you're looking to switch from Ask Viable, Kimola Cognitive is the perfect solution. With its auto-classification capabilities and the ability to analyze reviews in seconds by simply uploading an Excel file, it streamlines customer feedback analysis.
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 is not free but itâs affordable comparing to Ask Viable.
Kimola Cognitive is a great option over Ask Viable to analyze reviews, open-ended survey responses, customer feedback. Kimola Cognitive can also scrape reviews from multiple channels and much more affordable.
Yes, Kimola Cognitive can scrape reviews from 30+ channels and can integrate with Zendesk, Intercom, Google Sheets.
Yes, Kimola Cognitive needs no training to analyze your reviews.
Yes, Kimola Cognitive is 3X affordable than Ask Viable.
Sure, before switching to Kimola Cognitive from Ask Viable, weâd love to show our analysis talents. Arrange a demo session here: https://kimola.com/contact/sales
Kimola Cognitive offers up to 97% accuracy rate with multi-label classification. Kimola Cognitive also offers Powerpoint outputs, comparison pages and delivers executive summaries. Kimola Cognitive is the top choice for Ask Viable clients. Kimola Cognitive also offers charts and performance metrics. Kimola Cognitive also offers fantastic UI.
Kimola Cognitive is able to analyze 25+ languages.
Kimola has clients across 90+ countries. Kimola Cognitive is flexible for all teams, from small size to enterprises.
Kimola Cognitive is used by researchers, marketing professionals, small and mid-size business owners.
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