Text analysis that gets you to the heart of
what customers really think and feel.
See every comment from all of your open text feedback sources
Break apart every piece of feedback to identify sentiment with unmatched granularity and accuracy
Effortlessly generate insights as you segment and filter your feedback data for quick, actionable summaries.
Understand audience sentiment, see how it influences key metrics, and slice your data any way you want. Once you know what your audience really cares about, you can get out there and make a difference.
Tailor dashboards to each department and initiative, keep everyone moving in the right direction, and tell a data-driven story that demonstrates real outcomes.
"Alchemer Pulse turned our research strategy on its head. Now our respondents can write exactly what they want, and I can get exactly what I want out of it."
-John Pimm, Chief Operations Officer, IRC
Automatically uncover issues, align teams, and track metrics,
so you can tackle challenges proactively.
Text feedback can be overwhelming. We’ll help you cut through the noise.
Open text analysis uses advanced machine learning to categorize and extract insights from unstructured text data like survey responses and customer feedback, helping businesses understand and act on qualitative information effectively.
Text analysis works by using algorithms and natural language processing (NLP) techniques to parse through and interpret unstructured text data. These tools identify patterns, extract key information such as sentiments or themes, and transform textual content into structured data that businesses can use to derive insights, make decisions, and improve processes.
Text analysis is important because it helps businesses extract valuable insights from unstructured text like customer feedback and reviews, uncovering trends, sentiments, and patterns to inform decisions and enhance customer experiences and products/services.
Here is an example of text analysis: A company conducts a customer satisfaction survey with open-ended questions. For example the company may ask “Describe your experience with our product/ service”. Text analysis will categorize responses, identifying keywords, and summarizing key insights, so the company can pinpoint areas for improvement, gauge overall sentiment, and make data-driven decisions to enhance customer experience and satisfaction.
Sentiment analysis is the process of determining whether a piece of text expresses a positive, negative, or neutral sentiment, helping businesses understand customer opinions and public sentiment.
We put together a simple one-pager that encapsulates the benefits of Alchemer Pulse. Download it here: The Benefits of Alchemer Pulse