Stop manually exporting GA4 data and rebuilding event models in SQL. Redbird AI syncs Google Analytics event streams into your warehouse and orchestrates dbt transformations that turn raw behavioral data into clean, tested attribution and conversion models.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new GA4 BigQuery exports and run dbt models that sessionize raw events, calculate user lifetime metrics, and build attribution tables. Keep warehouse analytics fresh without manual kickoffs or stale batch windows.
Transform raw GA4 event streams into multi-step conversion funnels using version-controlled dbt models. Apply data quality tests to ensure event completeness and sequence logic before reporting surfaces incomplete journeys.
Push enriched segment definitions from dbt-built customer tables back into GA4 custom dimensions or user properties. Enable marketing teams to build GA4 audiences from warehouse-derived cohorts like product usage tiers or account health scores.
Monitor dbt test runs on GA4-sourced models and notify teams when event counts drop unexpectedly, required parameters are missing, or schema changes break downstream transformations. Catch tracking issues before they corrupt reporting.
Run dbt models that apply multi-touch attribution logic to GA4 session and conversion events, then automatically publish results to dashboards or send summary reports to Slack. Replace manual SQL queries with scheduled, tested pipelines.
Orchestrate incremental dbt runs as new GA4 event batches land in your warehouse, archiving raw exports to cold storage once transformed. Maintain complete event history while keeping active tables optimized and tested.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 dbt project structures and GA4's event-based schema, so you can automate the entire pipeline from raw behavioral data to clean, tested analytics tables.
Redbird maps GA4 event parameters, user properties, and session dimensions to your dbt models automatically. It knows when a new event type appears in your BigQuery export, which dbt sources and staging models consume it, and which downstream marts depend on that data. When GA4 schema changes break your pipeline, Redbird identifies the affected models and can suggest fixes or re-run dependent transformations once you've updated your SQL.
faster to build GA4 event pipelines vs writing custom scripts
Redbird can pull from dbt 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 dbt 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 dbt into Google Analytics (GA4), or from Google Analytics (GA4) back into dbt. 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 dbt model run or GA4 event export, then take action across your entire data stack.
Trigger when a specific dbt model or tag group finishes running successfully or fails.
Fire when a data quality test fails on a dbt model, flagging schema or freshness issues.
Detect when a dbt source freshness check indicates stale or missing upstream data.
Execute a specific dbt model, tag, or job on demand via dbt Cloud or Core CLI.
Append or modify YAML documentation for a dbt model based on external metadata changes.
Write new rows to a dbt seed CSV, such as dimension tables or lookup mappings.
Trigger when GA4 publishes a new daily or intraday event batch to your linked BigQuery dataset.
Fire when hourly or daily GA4 event counts fall unexpectedly, indicating tracking issues.
Detect when a previously unseen event name or event parameter appears in the GA4 schema.
Register a new event-scoped or user-scoped custom dimension in GA4 via the Admin API.
Set or modify a user property for a given client ID using the Measurement Protocol.
Push a server-side conversion event to GA4 for offline or warehouse-derived conversions.
Automate the pipeline from GA4 event streams to tested, documented dbt models. No custom scripts, no manual exports, no stale dashboards.