Overview
Text Analytics makes it easier to collect and analyze textual feedback or response data from sources such as Surveys and Timeline. Once the data is collected, it automatically provides advanced analytics, including sentiment assessment, to enhance customer experience, predict market trends. It also helps to identify potential churn, and recommend necessary steps to increase product usability.
Text Analytics allows admins to choose text feedback source(s) and include Highlights and Topics. Highlights offers an overall summary, containing both positive or negative sentiments, key opinions expressed by users, and progressive detailed responses. Topics help to capture and provide better analytics on a particular subject.
Admins can configure data sources and topics in Text Analytics. Then, Gainsight users can view all of the analytics on the Text Analytics Dashboard page and can create or modify dashboards with available widgets and add global filters as required.
IMPORTANT: Text Analytics with survey data is now available for all users. An add-on for Text Analytics is also available that extends data accessibility to include multi-channel source as Timeline.
Impact Analyzer
Impact Analyzer helps identify the underlying factors that are affecting key customer experience metrics (called outcomes) like NPS® and CSAT, by classifying them as strengths and areas of improvement. Impact Analyzer works by analyzing the survey responses, scorecards, and company attributes stored in the Gainsight company object. Our AI-based model identifies patterns in your data to bubble up your strengths and opportunities for the business KPI such as NPS®.
Impact Analyzer uses the power of Artificial Intelligence (AI) to uncover how different drivers (such as scorecard measures, customer sentiment) impact business goals like NPS® and renewals so teams can identify which areas to focus on the most.
Text Analytics is a family of capabilities that exists in Gainsight today that combines data from a number of sources and uses the power of AI to summarize the most important customer experience signals.
IMPORTANT: When the new packaging is rolled out, Text Analytics and Impact Analyzer will be impacted:
- Essentials and Enterprise packages get Basic CX: NLP on survey data and Impact Analyzer
- Essentials+ and Enterprise+ packages get Advanced CX: Multi-source or channel NLP (surveys + Timeline activities) and Impact Analyzer
Business Use Cases
User Roles: CX User, CS Operations, Customer Insights or Analytics, Leaders, and Executives.
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As a CX User, you want to understand customer sentiment based on Survey feedback, and also Timeline activities or emails. For example, you may want to analyze Onboarding feedback and the likelihood of Renewal for the next quarter, so your admin can define these topics in the Text Analytics to analyze the customer sentiment. With Text Analytics, you can derive insights such as:
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Trend analysis on your data to examine how customer sentiments are changing over time (eg. quarter to quarter).
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For deeper insights, you may want to drill down into specific Surveys like NPS®, CSAT, or Timeline entries for EBRs, to identify the topics or keywords that are most important and see how they are related to your customer sentiments.
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As a CX User (Manager), you might want to know how Sentiment or NPS® is correlated with financial outcomes like recurring revenue. You can achieve this by using the Revenue Matrix widget in Text Analytics where you can analyze how the Sentiment or NPS® is correlated with your Company’s revenue.
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As a CX User, you can optimize your Customer Success strategy by uncovering the impact on top business goals and identifying where your team should focus their efforts with Impact Analyzer. You can also view full analyses with detailed reporting and rich data points and group similar drivers with common theme.
