Redbird AI automates the flow between your cloud data lake and analytics platform. Stop manually exporting GA4 event data to S3, enriching analytics with offline conversion data, or syncing audience lists for activation—let AI handle the data work across your storage and measurement stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream GA4 raw event data to Amazon S3 in structured formats like Parquet or JSON. Redbird monitors your analytics property and orchestrates scheduled exports, creating a permanent archive of user behavior data for compliance, historical analysis, or feeding downstream data pipelines without BigQuery costs.
Upload offline conversion events from CRM systems, point-of-sale, or call centers stored in S3 directly into GA4 via Measurement Protocol. Redbird reads conversion files from designated S3 paths, maps fields to GA4 event schemas, and sends batched events to complete your attribution picture with server-side data.
Export audience lists and user segments from GA4 to S3 as CSV or JSON files for ingestion by marketing automation tools, CDPs, or custom activation workflows. Redbird handles scheduled audience pulls, formats output files to your specifications, and organizes them in S3 with consistent naming and partitioning.
Keep GA4 e-commerce events enriched with the latest product data, pricing, and category information stored in S3. When catalog files update in your bucket, Redbird syncs changes to GA4 custom dimensions or sends enriched events, ensuring analytics reflects current inventory and merchandising structure.
Capture point-in-time snapshots of GA4 metrics, explorations, and attribution reports as structured data in S3. Redbird runs scheduled extracts via the Data API, storing historical reporting states for auditing, compliance documentation, or tracking how campaign performance was measured at specific moments.
Monitor S3 for new GA4 export files and trigger downstream workflows automatically. When BigQuery exports or custom data extracts arrive in designated prefixes, Redbird detects the new objects and can kick off ETL jobs, data quality checks, or notifications to analytics teams that fresh data is ready for processing.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Google Analytics (GA4) 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 both S3 object structures and GA4's event-based measurement schema, so you can move data between storage and analytics without building custom connectors or managing API authentication.
Redbird's AI engine reads S3 object metadata, file formats, and partitioning schemes while simultaneously understanding GA4's event parameters, user properties, conversion schemas, and Measurement Protocol requirements. It automatically maps CSV columns or JSON fields from S3 files to GA4 event structures, handles batching for API rate limits, and validates data types against analytics property configurations. Whether you're exporting raw event data to Parquet files or importing offline conversions from flat files, Redbird translates between storage formats and measurement events without custom code.
faster than building custom data pipelines between S3 and GA4
Redbird can pull from Amazon S3 and Google Analytics (GA4) 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 Google Analytics (GA4).
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 Google Analytics (GA4), or from Google Analytics (GA4) 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 S3 object events or GA4 data changes, and take action across both platforms without switching contexts.
Fires when a file is uploaded to a specific S3 bucket or prefix path.
Triggers when an object with specific naming convention or extension arrives in designated location.
Detects when tags, storage class, or custom metadata change on existing S3 objects.
Write data or report outputs to S3 with custom naming, partitioning, and metadata tags.
Retrieve objects from S3 and extract structured data from CSV, JSON, Parquet, or other formats.
Reorganize files across buckets or prefixes based on processing state or data classification.
Fires when a specified conversion event or goal completion is tracked in your GA4 property.
Triggers when a GA4 audience grows or shrinks beyond a defined user count threshold.
Detects when a scheduled data import or BigQuery export finishes processing in GA4.
Push server-side events, conversions, or user properties into GA4 from external data sources.
Pull current membership of a GA4 audience segment for activation in other platforms.
Extract metrics, dimensions, and exploration results from GA4 for custom reporting or analysis.
See how Redbird AI syncs Amazon S3 and Google Analytics (GA4) to automate event exports, enrich analytics with stored data, and eliminate manual data transfers between your cloud storage and measurement platforms.