Feature and attribute columns in segments

Segments allow you to group companies by login activity and custom attributes. This is useful for making a segment of monthly active companies or paying customers, for example. However, when browsing a segment, it isn’t possible to add columns that also show feature engagement or satisfaction. Until now!

Surfacing churned companies better

Bucket is built on the STARS framework and gives you a STARS funnel out of the box, for any feature. Provided with a single event, the STARS funnel shows you how far your customers have reached in the “feature success funnel” for a feature.

Automatic data export for custom analysis

With the automatic data export to S3 you can now seamlessly enrich your data with Bucket’s data to unlock insights and enable collaboration across teams.

Easily track response rates for Live Satisfaction

With the new statistics in the Feedback tab you can get a quick visual overview over the performance of your feedback collection over the past 7 days.

Configure and customize table columns

You can now add, remove and reorder table columns across the Bucket app.

Introducing Live Satisfaction

Harness the power of qualitative feedback right from within Bucket.

Introducing Subsegmentation

We've rolled out Subsegmentation to enable comparisons of feature adoption, retention, and satisfaction across different customer segments.

Introducing Data Export

We’ve added the option to export your Bucket data as a CSV file.

Inspect event attributes and see related features

We’ve just made it easier to debug event data and to turn any event into a Bucket feature.

Analyzing feature usage and satisfaction at the company-level

We’ve just shipped an update to the company view that enables you to view feature engagement and satisfaction through the lens of a single company account.