Bucket

Feature analytics for SaaS

  1. Turn-key feature analytics

  2. Understand adoption and retention per feature and how it evolves over time

  3. Track feature adoption and retention goals

  4. Segment customers via custom properties, like monthly_spend, and via rolled up event properties, like event.first_seen or event.count

Bucket

How Bucket Works

Bucket’s recommended way of ingesting data is via Segment. Bucket fully supports Segment’s Identify, Group, and Track events, meaning you can get started with Bucket without changing any code! Using Segment also means you can pipe historic data into Bucket from the get go and get instant feature analytics insights.

The dashboard provides a feature audit matrix, which lets you easily track and compare the engagement of your key product features
The dashboard provides a feature audit matrix, which lets you easily track and compare the engagement of your key product features
Navigate to a feature for complete feature analytics, including adoption and retention progress over time and which users are engaging with it
Navigate to a feature for complete feature analytics, including adoption and retention progress over time and which users are engaging with it
Easily segment your customers based on Segment properties, for example free users, paying customers and customers that look to be slipping away
Easily segment your customers based on Segment properties, for example free users, paying customers and customers that look to be slipping away
Bucket

Get more out of Bucket with Segment

Implement Bucket by sending identification and tracking events from your web application to Bucket’s API.

Integrate Bucket with Segment

Segment makes it easy to set up Bucket.