Automate the flow of behavioral data between your product analytics platform and cloud warehouse. Stop writing custom export scripts, wrestling with API rate limits, or maintaining fragile ETL pipelines to sync Mixpanel events into BigQuery for analysis.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync raw event data, user profiles, and behavioral cohorts from Mixpanel into BigQuery datasets. Redbird handles schema mapping, deduplication, and incremental loads so your warehouse always reflects current product usage without manual exports.
Enrich Mixpanel user profiles with calculated attributes from BigQuery — lifetime revenue, account health scores, or cross-product engagement metrics. Redbird queries your warehouse and updates Mixpanel properties automatically, enabling richer segmentation in product analytics.
When your BigQuery ML models identify users likely to churn or convert, automatically add them to targeted cohorts in Mixpanel. Surface predictive insights directly in your product analytics workflows without building custom integration logic.
Automatically export and archive older Mixpanel event data to BigQuery for cost-effective storage and compliance. Redbird manages the export schedule, handles schema evolution, and consolidates historical and recent data for unified querying.
Monitor BigQuery analytics for sudden drops in conversion rates or unexpected user behavior trends, then send enriched alerts with relevant Mixpanel funnel context. Redbird combines warehouse insights with behavioral data to surface actionable alerts.
Combine advertising spend and conversion data from BigQuery with Mixpanel's user journey events to build complete attribution models. Redbird automatically joins datasets across systems, normalizes timestamps, and outputs unified reports showing true customer acquisition costs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Mixpanel 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 Mixpanel's event-based schema and BigQuery's columnar table structures, automatically handling the translation between behavioral tracking and warehouse analytics.
Redbird's AI understands Mixpanel's event properties, user profiles, and distinct_id tracking alongside BigQuery's partitioned tables, nested structs, and ARRAY types. It automatically maps Mixpanel's JSON event payloads to properly typed BigQuery columns, handles schema drift when new event properties appear, and optimizes queries for both systems. When you need to enrich Mixpanel profiles with warehouse calculations, Redbird translates SQL results into the exact JSON format Mixpanel's API expects.
faster than building custom Mixpanel-to-BigQuery ETL pipelines
Redbird can pull from BigQuery and Mixpanel 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 BigQuery or Mixpanel.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Mixpanel, or from Mixpanel back into BigQuery. 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 workflows from new BigQuery query results, Mixpanel event streams, or any schedule — then take action in either system automatically.
Trigger when new data appears in a specific table or view, with filters for partition or column values.
Run a custom SQL query on a schedule and trigger when results meet specified conditions.
Trigger when ML model predictions exceed confidence thresholds or identify specific user segments.
Write new records to specified tables with automatic schema validation and type conversion.
Execute custom SQL statements for data transformation, aggregation, or table maintenance operations.
Merge or replace data in specific date/time partitions for efficient incremental updates.
Trigger when specific events are tracked, with filters for event properties or user segments.
Trigger when users qualify for behavioral cohorts based on retention, funnel completion, or custom criteria.
Trigger when conversion rates for tracked funnels fall below defined thresholds over time windows.
Set or increment user properties with data from BigQuery calculations or external sources.
Programmatically add user IDs to behavioral cohorts for targeting or segmentation analysis.
Send server-side events to Mixpanel with computed properties derived from warehouse data.
Stop maintaining custom scripts to sync BigQuery and Mixpanel. Redbird's AI handles schema mapping, incremental syncs, and bidirectional data flows so your team can focus on analysis instead of pipeline maintenance.