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Transform qualitative feedback into quantified customer insights in minutes

Data Library Project

Unified customer experience analytics

Analyze all of your unstructured customer feedback data from surveys, reviews, customer service transcripts and social media conversations with a suite of customer insight tools and visualizations powered by our intelligent text mining engine.
Heartbeats

Reveal the drivers of NPS, CSAT and CES

Segment and analyze open-ends generated from NPS, CSAT and CES surveys to understand what customers love (and hate) about interacting with your business and track how opinions are changing over time.
Insights

Understand customer sentiment and emotion

Unlock deeper emotional intelligence by moving beyond the oversimplified positive-neutral-negative approach offered by other sentiment analysis tools. With advanced emotional analysis, you’ll be able to easily differentiate between over 20 emotions.
Relative Insight

Make customer-focused decisions

Equip yourself with authoritative, fact-based customer insights that tell the story about what customers think and feel about their experience with your brand and compel stakeholders to take action.
Heatmap

Customer insights data sources

NPS, CSAT & CES survey responses

NPS, CSAT & CES survey responses

First & third party customer reviews

First & third party customer reviews

Social media & forum discussions

Social media & forum discussions

Customer service transcripts

Customer service transcripts

Customer insights FAQs

Can I analyze feedback from different sources as part of a single project?

Yes! Relative Insight’s suite of data management tools makes it easy to combine data from different sources and analyze it all together.

What are the most common approaches to analyzing customer feedback?

When unstructured feedback (open-ends) is associated with a rating or score, we see a lot of customers segmenting responses into positive and negative groups and comparing them to quickly pinpoint the drivers of (dis)satisfaction. Segmenting responses according to buyer personas or by geographic location is another common approach.

Put metrics around your unstructured customer feedback