Customer polling and feedback

The most powerful personalizations come from having a deep customer knowledge. With Qubit you have the tools to add context to site behavior, by asking your customers more about themselves, and listening to the feedback they provide.

Create definitive customer segments

Q&A for data you can’t get other ways
To augment the understanding you can get from a visitor’s purchase history, you can add a survey to find out their intentions—like whether they come to your site to buy gifts, rather than shop for themselves.

Self-segmentation
Qubit Visitor Pulse surveys let customers express preferences, and self-segment. This also means that they’ll see personalizations based on their choices.

Infer and ask for more information
By looking at the behavior of visitors who have self-segmented, you can discover more information on that segment - and create inferred segments for customers who match the behavior of the self-segmented visitors.

A website with a visitor pulse survey, asking them what sort of bike they are looking for.
A survey asking designer preferences on mobile and desktop

Uncover qualitative customer insights

Qualitative data analysis
Create surveys to understand customers’ satisfaction, experience, intentions, or issues. Whether you target all your visitors or a particular cohort, all of the data available is available for analysis and insight.

Preference collection and targeting
Segment your visitors according to their responses to surveys and target them with experiences accordingly.

Launch surveys to measure NPS
You can use Qubit Visitor Pulse to collect Net Promoter Scores, create segments based on the results, and create personalizations to address the needs of customers at risk, or elevate the experiences of promoters.

Listen to customer feedback

Hear what your customers are saying
Find out how your visitors feel by using Qubit Opinions to gather visitor feedback. This can be combined with quantitative and behavioral data for a comprehensive view of your customers.

Sentiment analysis with natural language processing
Customer feedback data is broken down into statements which are categorized against a taxonomy relevant to your vertical and analyzed for sentiment and topic so you can investigate customer behavior.

Easy-to-interpret results
Customer feedback is displayed with a summary heat-map showing the volume and distribution for each topic, and also shown in the segment metrics page.

Customer opinions as a heatmap in the Qubit platform

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