Bucket Introduction
Bucket is a feature management platform purpose-built for B2B SaaS companies that enables gradual feature rollouts, company-level targeting, and feature adoption tracking through an intuitive interface.
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Bucket is a specialized feature flagging and management tool designed specifically for B2B SaaS products. Unlike generic feature flag solutions, Bucket focuses exclusively on B2B use cases, providing companies with the ability to control feature releases, collect feedback, and measure adoption at the company level rather than individual users. The platform is built by an experienced team and backed by prominent product leaders to help B2B product teams build and release features more effectively.
How does Bucket work?
Bucket works by implementing feature flags at the company level through SDKs or HTTP API integration. Product teams can gradually roll out features to specific customer segments using powerful filtering capabilities and company-level toggles in the Bucket UI. The platform automatically aggregates user data at the company level and employs the STARS framework to track feature adoption metrics. It also includes automated survey functionality that collects feedback from customers after meaningful feature interactions. All feature data can be synced to CRM systems and data warehouses, allowing teams to maintain a comprehensive view of feature performance and customer engagement.
Benefits of Bucket
Using Bucket provides several key advantages for B2B product teams. It simplifies feature management with an intuitive interface and B2B-optimized controls, saving engineering resources while maintaining security and compliance standards. Teams can make data-driven decisions through real-time adoption metrics and automated customer feedback collection. The platform's company-level segmentation and targeting capabilities enable safer, more controlled feature rollouts. Additionally, Bucket helps create better alignment between product, engineering, and customer-facing teams by providing a shared view of feature performance and customer engagement data.
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