Redbird AI automates the flow between your object storage and behavioral analytics platform. Stop manually exporting Heap event data to S3, uploading enrichment files, or stitching together user sessions with stored datasets — let AI handle the sync, transformation, and analysis.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Stream all captured user interactions from Heap to S3 buckets in structured formats. Redbird transforms raw behavioral events into partitioned Parquet or JSON files, maintaining full event schemas. Build a comprehensive data lake of historical user behavior without manual exports.
Pull customer profiles, account metadata, or product catalogs from S3 and merge them into Heap user properties. Redbird matches S3 data to Heap user IDs, enriching behavioral data with firmographic, demographic, or custom attributes. Analyze product usage by customer segment without switching platforms.
Push ML scores, churn predictions, or custom metrics calculated in your data lake into Heap as user or account properties. Redbird reads computation results from S3 and updates Heap profiles in real-time. Build behavioral cohorts based on advanced analytics without manual CSV uploads.
Join behavioral events from Heap with purchase history, support tickets, or CRM data stored in S3. Redbird correlates user sessions with business outcomes, generating reports that show true conversion attribution. See which product interactions actually drive revenue.
Automatically export conversion funnels, retention cohorts, or custom analyses from Heap to S3 staging buckets. Redbird formats data for downstream ETL pipelines feeding Snowflake, Redshift, or BigQuery. Build a single source of truth without repetitive export tasks.
Monitor S3 buckets for new customer attribute files or segment definitions and trigger Heap property syncs. Redbird detects file arrivals, validates schemas, and pushes updates to Heap user profiles. Keep behavioral analytics in sync with your latest customer data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Heap 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 both Heap's auto-captured event schemas and S3's object storage patterns, intelligently mapping behavioral data to your lake architecture.
Redbird automatically recognizes Heap's event properties, user identities, and session structures, mapping them to your S3 bucket organization and file formats. It handles schema evolution as you capture new interactions, transforms nested JSON events into columnar formats for efficient querying, and intelligently partitions data by date, app, or custom dimensions. Whether you're syncing raw events or enriching profiles with stored datasets, Redbird maintains data integrity across both systems.
faster than scripting S3 exports and Heap API updates
Redbird can pull from Amazon S3 and Heap 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 Heap.
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 Heap, or from Heap 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 S3 file event or Heap behavioral activity, then take action across both platforms.
Fires when a new file or dataset lands in a specified S3 bucket or prefix path.
Detects when an existing S3 object is updated or overwritten with new data.
Triggers when a new date-based partition folder appears in your S3 data lake structure.
Upload files, event streams, or structured datasets to S3 in specified formats and paths.
Organize incoming data into partitioned folder structures optimized for querying and pipeline processing.
Move older data to S3 Glacier or organize files into long-term archive buckets with retention policies.
Fires when Heap captures a new user session with interaction events across your product.
Triggers when a user completes a defined conversion action or reaches a funnel milestone.
Detects when a Heap user profile is updated with new attributes or segment assignments.
Push new attributes or custom fields to Heap user profiles from external datasets or calculations.
Build new behavioral cohorts in Heap based on external data, ML scores, or computed metrics.
Extract raw interaction events, funnel analyses, or retention cohorts from Heap in structured formats.
See how Redbird AI syncs Amazon S3 and Heap in minutes. Stop managing manual exports and start automating your behavioral data pipelines.