Who Uses This Software?

Customer experience, insights, support, customer care, product, marketing.


Average Ratings

8 Reviews
  • 4 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4.5 / 5
    Customer Service

Product Details

  • Starting Price
    $1,000.00/month
  • Pricing Details
    Pricing per comment, depending on volume.
  • Free Demo
    Yes
  • Deployment
    Cloud, SaaS, Web
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Online
    Business Hours

Vendor Details

  • Keatext
  • www.keatext.ai
  • Founded 2010
  • Canada

About Keatext

Keatext's cloud-based platform enables you to make the right customer experience (CX) decisions by interpreting all your customer feedback, solicited or freely given, structured or unstructured, and revealing your customers' observations, judgments and satisfaction, new trends in customer expectations or usage, and the impact of actions you take. Our system uses artificial intelligence to instantly discover new topics and emerging trends without human intervention.


Keatext Features

  • Action Management
  • Analytics
  • Customer Segmentation
  • Dashboard
  • Feedback Management
  • Knowledge Management
  • Multi-Channel Collection
  • Sentiment Analysis
  • Survey Management
  • Text Analysis
  • Trend Analysis
  • Boolean Queries
  • Document Filtering
  • Graphical Data Presentation
  • Language Detection
  • Predictive Modeling
  • Sentiment Analysis
  • Summarization
  • Tagging
  • Taxonomy Classification
  • Text Analysis
  • Topic Clustering

Keatext Reviews Recently Reviewed!


Capterra-loader

We evaluated Keatext during a test period and were very impressed with the results.

Mar 27, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
Likely
Extremely
Likely

Pros: The Keatext interface is clear and easy to use. Keyword groupings and the display of sentiment measurement graphs are useful.

Cons: None. We have not completed the product testing yet. A complementary offer for other data formats would be appreciated.

I was approached by Jay so I tried out Keatext mostly to give feedback.

Mar 26, 2018
3/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
3 / 5
Value for Money
Likelihood to Recommend: 5.0/10 Not
Likely
Extremely
Likely

Pros: I thought it was interesting to have a quick and easy way to see positive comments and negative comments as a trend and by terms.

Cons: The AI would often wrongly flag things as negative or positive because our users use interesting expressions and speak extremely casually. The software doesn't provide us enough value because it doesn't help our staff answer tickets more quickly.

Overall: Knowing general sentiment of people writing into our support team.

Easy to use

Mar 26, 2018
3/5
Overall
5 / 5
Ease of Use
3 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: It's easy to import data and to analyze it, the learning curve is super fast as the software is well built and easy to learn. The team was also there for me if I had questions. I liked that I could be autonomous in a matter of hours.

Cons: The analysis features were not exactly to my liking, and I felt the lexical analysis could use more statistical techniques for large datasets.

Helpful software but scope to improve even further

Mar 24, 2018
4/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 7.0/10 Not
Likely
Extremely
Likely

Pros: Grouping feature is quite convenient.
Filters is a good feature.
Sentiment analysis within grouped words is also helpful

Cons: Reaching customer care is a lil bit of a hassle.
There is no way to re-classify certain words.
No option to create a word cloud.
Sentiment analysis does not work for most of the sentences.

Overall: Mainly word grouping an

Easy, great support and collaboration by Keatext

Mar 23, 2018
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
Likely
Extremely
Likely

Pros: The sentiment score it provides as well as the text categories such as problem, praise, suggestion, question.

Cons: Because there is a limit of data depending on you pricing, when you upload a file by error (not right file, data not prepared before hand, etc.) and have to delete and reupload, it counts in the data limit. However, I must say Keatext has always been very open to exceptions to increase limit in the past for these special situations.

Does most of the work on its own, and easy to use

Mar 23, 2018
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money

Pros: I love the user interface and how easy it is to move between pages. and we can just keep clicking on the words to go deeper.

Cons: the thesaurus function is a bit annoying. Sometimes even after we merge the words, they are still visible as separate words. It would be nice if a word cloud can be generated for the entire database

Tried to find topics in agents comment

Mar 20, 2018
3/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 6.0/10 Not
Likely
Extremely
Likely

Pros: Help us to know the emotions of customers and the interface is really clean and userfriendly. Can put more that one database and compare them to each others.

Cons: Would like to be able to separate the different data imported. For example, in different projects. Also, some icons are not that visible.

I used Keatext for sentiment analyses on large datasets.

Mar 20, 2018
4/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money

Pros: Easy to use, good visuals, easy to import data... it was fun to see hypotheses get confirmed or infirmed by the analysis. It was the first time that i tried a software with a sentiment analysis this well presented. I was able to export intelligence from my analyses that were very valuable to me.

Cons: Sentiment analysis needs very large amounts of data to be relevant. Even if i liled the output, i was not able to get lots of value with smaller data sets. The precision was sometimes off and i had to manually analyse the data afterwards.