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What types of data can Relative Insight analyze?
What types of data can Relative Insight analyze?

Relative Insight can analyze any source of digitized text data. Learn about some of the most common.

Trish Pencarska avatar
Written by Trish Pencarska
Updated over a week ago

Relative Insight can analyze any form of digitized text data. The most appropriate data source will depend on what you are trying to understand.  

Here are some of the most commonly analyzed types of data. For a more detailed breakdown and ideas of what data sources are suitable for different types of analysis, you can download our free resource below.

Customer experience data

Customer feedback from any source. This may come from first-party (e.g. customer support transcripts) or third-party (e.g. social listening) channels.

  • Customer support transcripts (chat transcripts or voice-to-text recording transcripts)

  • Website chatbots

  • NPS/CSAT surveys

Survey data

Open-end, text-based survey responses can be analyzed at scale to reveal themes and differences between audiences.

  • Employee feedback surveys

  • Customer satisfaction surveys

  • Market research surveys

Reviews data

Reviews can reveal what people like or dislike about your product or service to inform future improvements and development. This can also be used to uncover the drivers of employee satisfaction and improve retention rates. This may come from first-party (e.g. survey responses) or third-party (e.g. public review sites) channels.

  • Product or customer reviews

  • Employee satisfaction reviews

  • Public review sites (e.g. Glassdoor, Amazon, Trustpilot)

Social data

Freely accessible information that is representative of how the public, or a specific target audience segment, talks about a relevant topic.

  • Social listening data (e.g. Twitter)

  • Forum discussions (e.g. Reddit)

  • News and media coverage

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