Relative Insight can analyse any form of digitised text data. The most appropriate data source will depend on what you are trying to understand.
Here are some of the most commonly analysed types of data. This list is not exhaustive, so don't worry if your preferred source isn't listed.
Voice of the customer & market research
Customer feedback from any source. This may come from first-party (e.g. survey responses) or third-party (e.g. public review sites) channels.
Open-ended survey responses
Customer support transcripts (chat or phone)
Social listening brand/product mentions
Data from online research communities
Freely accessible information that is representative of how the public, or a specific target audience segment, talks about a relevant topic.
Social listening data
News and media coverage
Any text that is representative of how a brand or product is presented to the market.
Marketing assets (one-pagers, presentation decks etc.)
Data that is representative of communications throughout the sales process. This data is most useful when it is attached to other data points (e.g. whether the deal was successful or not, attributable revenue, location).
Sales call transcripts
Notes from CRM systems
Similar to voice of the customer data but in the context of employee experience. This feedback may come from first-party (e.g. annual employee survey) or third-party sources (e.g. Glassdoor).
Employer review sites
Employee feedback surveys
Internal communication channels