Skip to main content
Common use cases for Relative Insight

Explore the most common use cases of Relative Insight's comparative text analysis platform.

Trish Pencarska avatar
Written by Trish Pencarska
Updated over 9 months ago

Relative Insight is data agnostic - this means that the platform can analyze any source of text data that you have access to.

With a huge range of potential data sources, the number of possible use cases is virtually endless and includes market research and business intelligence, data analysis and customer insights, marketing and communications as well as strategy and product development.

Here are some of the most common use cases:

Using customer service data

Customer service data can come from first-party sources such as customer support transcripts or website chatbots. You can utilize the transcripts to reveal what part of your service is most valued by the customers. Based on your findings, you can improve the training accordingly to achieve higher customer satisfaction rates.

Using survey data

If you have first-party questionnaires and surveys that contain text-based responses, you can efficiently analyze the open ends in the platform. This will reveal the similarities and differences between the audience segments to inform your marketing campaigns and communications strategy.

Using review data

Whether using first-party data from an annual employee feedback survey or third-party sources from public sites (e.g. Glassdoor), you can analyze the reviews to uncover the key drivers of employee satisfaction or dissatisfaction to inform employee engagement strategy.

Using social listening data

By exporting social listening data (e.g. from Brandwatch or Meltwater) and analyzing it, you can understand your market positioning by comparing social mentions and forum data against competitors.

You can also use social analysis to create demographic or channel-based comparisons to help you keep a pulse on target audiences and monitor emerging trends over time.

For more details on sourcing the best data for each use case, check out our guide.

Did this answer your question?