Stream behavioral data from GA4 directly into Kafka topics for real-time analytics and event-driven architectures. Stop manually exporting CSVs or building custom ETL jobs to get conversion events, user sessions, and campaign data into your streaming infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically publish purchase completions, sign-ups, and custom conversion events from GA4 to designated Kafka topics as they occur. Enable downstream systems to react to user behavior immediately without batch delays or API polling.
Send complete session data including pageviews, engagement metrics, and user properties to Kafka topics. Feed ML models, personalization engines, and customer data platforms with fresh behavioral context.
Continuously stream raw GA4 event data to Kafka topics configured for retention and replay. Maintain a complete audit trail of all user interactions without relying on BigQuery export schedules.
Listen to business events in Kafka and automatically send corresponding measurement data back to GA4. Track server-side conversions, backend transactions, and IoT events in your analytics without client-side tracking.
Enrich GA4 sessions with attribution data processed through Kafka pipelines. Update user properties and custom parameters based on events flowing through your streaming architecture.
Monitor Kafka topics containing GA4 event streams for anomalies like sudden traffic drops, conversion rate changes, or unusual user patterns. Route alerts to Slack or PagerDuty when thresholds are breached in the streaming layer.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Analytics (GA4) and Kafka 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 GA4's event-based schema and Kafka's topic architecture, so you can stream analytics data without writing custom serialization logic or managing API rate limits.
Redbird automatically maps GA4 event parameters, user properties, and e-commerce objects to Kafka message schemas. Whether you're streaming to Avro, JSON, or Protobuf topics, the AI handles serialization, partitioning strategies, and schema evolution. No need to manually parse GA4's nested event structure or write custom producers—Redbird translates behavioral data into production-ready Kafka messages with proper keys, headers, and timestamps.
faster than building custom GA4-to-Kafka streaming pipelines
Redbird can pull from Google Analytics (GA4) and Kafka 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 Google Analytics (GA4) or Kafka.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Google Analytics (GA4) into Kafka, or from Kafka back into Google Analytics (GA4). 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 GA4 event or Kafka topic message, and route data wherever your streaming architecture needs it.
Fires when a purchase, sign-up, or custom conversion goal completes in GA4.
Triggers when active user sessions cross a defined volume or engagement metric.
Activates when traffic arrives from a specific UTM campaign or traffic source.
Push server-side events into GA4 via the Measurement Protocol API.
Set or modify custom user properties and dimensions in GA4.
Log a custom event with parameters to GA4 for a specific user or session.
Fires when a new message lands in a specified Kafka topic or partition.
Triggers when consumer lag exceeds a defined offset behind the topic head.
Activates when messages matching a particular event schema or key pattern arrive.
Publish a new event or record to a designated Kafka topic with routing key.
Modify topic retention, partition count, or replication settings programmatically.
Route failed or malformed messages to a DLQ topic for later inspection.
Sync Google Analytics (GA4) with Kafka in minutes. Stream behavioral events into your real-time pipelines without custom code or infrastructure overhead.