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What is Fullbeam?
Fullbeam is an AI-driven product intelligence platform designed to accelerate product-led growth (PLG) by deeply analyzing user session replays. It automatically identifies critical friction points, performance bottlenecks, and usability issues, then prioritizes fixes based on their revenue impact. Product and engineering teams benefit from real-time insights that highlight exactly where high-intent users encounter obstacles, why trial users abandon upgrade flows, and which experiments directly lead to customer conversions.
With Fullbeam, teams can segment user behavior by customer type, plan, or persona, gaining clarity into which cohorts face the most challenges and how these affect revenue. The platform supports automated trend detection, vision-language AI for session labeling, natural-language question answering, and seamless integration with workflow tools like Slack and GitHub. This ensures faster, data-backed decision-making for optimized product growth and user experience.
Features
- Automated Session Replay Analysis: AI reviews user sessions to identify problems.
- Vision-Language AI Labeling: Sessions are labeled for usability, performance, and bugs.
- Revenue-Linked Prioritization: Issues are ranked by their impact on potential revenue loss.
- Session Segmentation: Filter insights by customer segment, plan, or campaign.
- Natural Language Insights: Ask product questions and get plain English answers.
- Automated Trend Detection: Instantly spot emerging product patterns or anomalies.
- Smart Ticketing: Push replays and logs directly into Linear or GitHub workflows.
- Real-Time Alerts: Immediate notifications via Slack and webhooks for key events.
- Enterprise Controls: Includes SAML/SCIM, private cloud, audit logs, and compliance options.
Use Cases
- Identify critical friction points in product onboarding.
- Detect and resolve usability or performance issues affecting account conversions.
- Understand which product features drive upgrades or are ignored.
- Prioritize bug fixes by revenue risk to maximize business impact.
- Segment and analyze user behavior to reduce churn and increase expansion.
- Automate creation of actionable tickets for engineering teams.
FAQs
-
Do we need a data warehouse or write any SQL?
No. Fullbeam processes raw events and replays for you, surfacing account-level insights directly. Dashboards and queries are optional. -
What support do you provide?
Fullbeam provides dedicated Slack channels and customer success management, especially at the enterprise level. -
How is pricing calculated?
Pricing is pay-as-you-go, based on the number of user sessions analyzed monthly, with the first 5,000 sessions free and a per-session fee thereafter. -
Can we push insights into our existing workflow tools?
Yes, Fullbeam offers integration with tools like Slack, webhooks, Linear, and GitHub for actionable workflows.
Helpful for people in the following professions
Fullbeam Uptime Monitor
Average Uptime
100%
Average Response Time
338.5 ms
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