Analyze customer feedback to drive business growth
Keatext uses AI to analyze text from customer feedback sources like surveys, reviews, and support tickets. It helps you understand what customers are saying and why it matters for your business. By identifying key issues and opportunities, you can make data-driven decisions to improve customer satisfaction and increase revenue.
Combine feedback from multiple channels into one platform
Identify key drivers of satisfaction and blind spots
Add business categories to enrich insights for analysis
Generate focused reports and dashboards quickly
Connect with various feedback sources easily
Text analysis is a machine learning technique used to analyze and find insights in open-ended text data, like customer or employee feedback.
Keatext provides a unified view of customer feedback to identify blind spots and key drivers of satisfaction, helping improve CX.
Yes, Keatext offers integrations to bring together feedback from various channels.
This tool is best for:
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Recent data shows that Keatext has 1.6K monthly visits (-38.0% decrease from the previous month), 38.0% bounce rate, and average 1.14 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 2 countries worldwide, led by United States contributing 88% of total traffic. SEO performance is shown by 5 tracked keywords, with "framework johnson & scholes' cultural web" being the top-performing keyword with 70 monthly searches. See below for more info.
Monthly Visits
1.6K
Pages per Visit
1.14
Bounce Rate
38.0%
Average Time on Site
1s
| SEO Keyword | Volume | CPC |
|---|---|---|
| framework johnson & scholes' cultural web | 70 | - |
| keatext | 90 | - |
| heyday ai | 540 | $4.13 |
| geotext ai | 470 | - |
| ccxp qualification | 330 | - |
| Source | Traffic Share |
|---|---|
| Direct | 43% |
| Search | 34% |
| Social | 9% |
| Referrals | 12% |
| Paid Referrals | 2% |
| Country Name | Traffic Share |
|---|---|
 | 88% |
 | 12% |
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