Redbird AI automatically syncs FullStory session data, behavioral events, and UX analytics into MongoDB collections. Stop manually exporting CSVs or building custom ETL pipelines to get digital experience insights into your operational database.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every session replay event, click, scroll, and rage click from FullStory and write them to MongoDB collections. Preserve nested event structures and metadata for flexible querying alongside your application data.
Merge FullStory session data with MongoDB transaction records, feature usage logs, and user profile documents. Create complete customer journey timelines that connect UX behavior with backend actions in a single queryable collection.
Automatically identify and archive FullStory sessions containing rage clicks, error clicks, or checkout abandonment. Store session replay URLs and metadata in MongoDB for long-term retention and cross-functional investigation.
Monitor MongoDB collections for specific user behaviors—completed purchases, feature adoption milestones, or support escalations. Automatically create targeted FullStory segments to replay sessions from users matching these operational patterns.
Cross-reference FullStory rage click and error events with MongoDB customer tier and account value documents. Send alerts to support and product teams when high-value users encounter friction, with session replay links and account context.
Extract funnel completion rates, drop-off points, and time-to-convert metrics from FullStory and write them to MongoDB. Enable product and engineering teams to query UX performance alongside feature flags, deployments, and error rates.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize FullStory and MongoDB with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands FullStory's nested event structures and session metadata alongside MongoDB's flexible document schemas and indexing patterns.
Redbird automatically maps FullStory session replay events, custom properties, and user segments to MongoDB collections with appropriate indexes and schema designs. The AI understands how to denormalize FullStory's hierarchical event streams into queryable MongoDB documents, preserve nested structures like click paths and scroll maps, and create compound indexes for common query patterns. No need to write aggregation pipelines or design collection schemas manually.
faster than building custom FullStory-to-MongoDB pipelines
Redbird can pull from FullStory and MongoDB simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either FullStory or MongoDB.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from FullStory into MongoDB, or from MongoDB back into FullStory. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any FullStory session event or MongoDB document change, then take action in either system.
Fires when FullStory captures a user repeatedly clicking on an unresponsive element.
Triggers when a user reaches checkout flow but exits without completing purchase.
Fires when FullStory identifies sessions scoring above frustration thresholds based on rage clicks and errors.
Build a FullStory segment based on behavioral patterns, custom properties, or event sequences.
Apply custom tags to FullStory sessions for categorization and team workflows.
Extract specific FullStory events, properties, and session metadata for analysis or archival.
Fires when a new document is added to a specified MongoDB collection.
Triggers when a numeric field in a MongoDB document crosses a defined threshold value.
Fires when specific fields in a user profile document are modified or enriched.
Create a new document in a MongoDB collection with nested fields and arrays.
Modify specific fields in existing MongoDB documents based on query filters.
Add new elements to array fields within MongoDB documents without replacing existing data.
Sync FullStory session data with MongoDB in minutes. Redbird AI handles the mapping, indexing, and transformation so your team can focus on understanding user behavior.