Automatically sync FullStory session data and behavioral events to S3 for long-term analysis, or enrich live sessions with customer data from your data lake. Stop manually exporting CSVs, writing custom scripts to move event streams, or waiting on engineering to build data pipelines between your analytics platform and cloud storage.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically archive complete session recordings and interaction data to S3 buckets on a rolling schedule. Maintain long-term compliance records beyond FullStory's retention window while reducing storage costs. Tag and organize files by date, product area, or user segment for efficient retrieval.
Stream click events, page views, rage clicks, and custom FullStory events directly into your S3-based data lake. Join behavioral data with product usage, transactions, and CRM records for comprehensive customer journey analysis. Enable downstream tools like Snowflake, Databricks, or Redshift to query complete user interaction history.
Pull enrichment data stored in S3—like customer tier, lifetime value, or feature access—and attach it to active FullStory sessions as custom user properties. Filter session replays by business-critical attributes that live outside FullStory. Surface high-value user behavior patterns that drive product and marketing decisions.
Monitor exported FullStory event data landing in S3 for rage clicks, error patterns, or drop-offs from enterprise customers. Route alerts to Slack or PagerDuty when behavioral thresholds are crossed. Catch critical UX issues affecting your most important accounts before they escalate.
Maintain dynamic user segments as CSV or JSON files in S3, then automatically sync them into FullStory as segment definitions or user properties. Update segmentation logic in your data warehouse and have changes flow through to session filtering. Keep product, data, and support teams working from the same customer definitions.
Query historical FullStory event data stored in S3 to build automated reports on conversion funnel changes, top friction points, and error rates over time. Distribute PDF or Slack summaries to product and design teams every week. Track UX metrics longitudinally without FullStory query limits or retention constraints.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and FullStory 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 understands FullStory's event schemas, session metadata, and user properties alongside S3's bucket structure, file formats, and partitioning patterns—so you can move and transform behavioral data without custom code.
Redbird automatically parses FullStory's event payloads—session IDs, event types, user properties, timestamps, and custom data—then intelligently writes them to S3 in the format your downstream systems expect. It handles nested JSON structures, normalizes schema changes, and partitions files by date or user segment. When enriching sessions from S3, Redbird matches customer identifiers across systems and maps attributes to FullStory's custom properties schema without manual field configuration.
faster than building custom ETL scripts to sync FullStory events to S3 or load enrichment data back
Redbird can pull from Amazon S3 and FullStory 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 Amazon S3 or FullStory.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into FullStory, or from FullStory back into Amazon S3. 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 event in Amazon S3 or FullStory—new files, session recordings, behavioral triggers, or data exports.
Trigger when a CSV, JSON, or Parquet file lands in a specified S3 bucket or prefix path.
Detect when an existing S3 object is updated or overwritten, triggering downstream sync or validation workflows.
Run on a schedule to check for new or changed files in S3, ideal for periodic data lake ingestion.
Export records as CSV, JSON, or Parquet files with custom partitioning and naming conventions.
Add new records to an existing data file without overwriting, maintaining append-only event logs.
Apply custom tags or update object metadata for governance, lifecycle policies, or downstream processing.
Fire when a user session includes rage click events, indicating frustration with a UI element.
Trigger when a session is captured for users matching specific custom properties or segment criteria.
Detect when JavaScript errors, failed API calls, or custom error events occur during a user session.
Set custom user attributes in FullStory from external data sources to enable advanced segmentation and filtering.
Attach a custom event or label to an existing session for easier search and analysis in FullStory.
Retrieve behavioral event data for a specified time window and send it to S3 or other destinations.
Stop building custom scripts to move FullStory behavioral data into your S3 data lake or enrich sessions with cloud-stored attributes. Redbird connects Amazon S3 and FullStory with AI-powered automation that handles schema mapping, partitioning, and enrichment for you.