Text Sentiment Analysis for Customer Feedback

What is Text Sentiment Analysis for Customer Feedback?

With Text Sentiment Analysis for Customer Feedback, you block qualitative feedback information

Massive amounts of feedback?

Businesses are flooded with feedback - NPS survey responses, support tickets, app store reviews, employee surveys, and more. Verbatims are a gold mine of data that can guide improvements in the customer experience, but extracting insights has been difficult, expensive and time consuming.

Now you can understand why customers love it or not.

• Emotion matters. Machine learning identifies the feeling behind each topic in each literal comment, instantly analyzing feedback volumes.
• Algorithms based on what's important in your industry, combined with a rules-based approach tailored to your organization.
• Review feedback in any language, from any source.

Learn which improvements will have the most impact with Text Sentiment Analysis for Customer Feedback

• Stop wasting time deliberating. Use data to prioritize projects.
• Quantify what your customers care about.
• Understand the "why" behind the Net Promoter Score and travel point metrics.
• Analyze a single source - or see themes in all feedback sources.
• View data by any business driver.
• Create tag hierarchy.

With Text Sentiment Analysis for Customer Feedback andconomizar time. Take a quicker attitude.

• See general trends and identify anomalies quickly.
• Create an executive dashboard based on what's important to you.
• Customize dashboards for each stakeholder role.
• Alert stakeholders to changes in feedback trends automatically, so they can take action.

Insight without a data analyst.

• Explore the root cause, identify opportunities and risks.
• Easily access verbs that humanize insights.
• Slice data and data
• By persona, user group, or other property.
• By topic.
• By travel point.
• For the feeling.
• By individual.

Get a unified view. Import comments from any source.

• Start with a single source, such as feedback from the Net Promoter Score survey. Overtime, analyze multiple sources of feedback on an easy-to-use platform.
• Examples of sources: touchpoint searches, online analytics, brand trackers, support tickets, and employee engagement surveys.
• Import data yourself or work with Wootric for direct integration.

Align all business teams around the customer.

• No more silos - democratize customer data.
• Automate trend alerts by email.
• The platform makes it easy for teams to discover relevant information.
• Permission-based access.

System requirements

Supported operating systems

Mac OS X 10.5 x (Leopard), Mac OS X 10.6 (Snow Leopard), Mac OS X 10.7 (Lion), Mac OS X 10.7 (Mountain Lion), OS X 10.9 (Mavericks) and Mac OS X 10.10 (Yosemite)

Hardware requirements

Memory - 1 GB of RAM and more

Free disk space - 50 MB

System type - 32-bit and 64-bit OS