Automate the sync between your transformation layer and product analytics. Stop manually validating event schemas, copying metrics between systems, or rebuilding dbt models when Mixpanel tracking changes. Redbird keeps your analytical models and behavioral data in perfect sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push segmentation logic built in dbt—like product-qualified leads or power users—into Mixpanel as user properties. Teams can analyze behavioral data using warehouse-defined cohorts without rebuilding logic in Mixpanel's interface. Updates flow whenever dbt models refresh.
Check that incoming Mixpanel events match the schema definitions in your dbt project before models run. Prevent downstream transformation failures caused by undocumented property changes or missing required fields. Get alerts when event structure drifts from expectations.
Automatically update dbt freshness checks when Mixpanel data pipeline schedules are modified. Ensures your transformation tests align with actual data arrival patterns without manually editing YAML configs. Keeps analytics engineering workflows in sync with product tracking changes.
Send account attributes, customer tiers, or feature flags from dbt-modeled dimensions back into Mixpanel as event properties. Product teams can segment funnels by data warehouse context without waiting for engineering to instrument new tracking. Bridges product analytics and centralized business logic.
Detect when the same business metric—like activation rate or feature adoption—is calculated differently in dbt models versus Mixpanel dashboards. Prevents reporting discrepancies before stakeholders notice conflicting numbers. Maintains single source of truth across the analytics stack.
When product teams add new event properties in Mixpanel, Redbird generates corresponding dbt source and staging SQL with appropriate data types and tests. Eliminates the lag between instrumentation changes and warehouse readiness. Analytics engineers review and merge rather than write from scratch.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 dbt's DAG structure, test configurations, and metric semantics—plus Mixpanel's event schemas, property types, and cohort definitions—so you can automate across transformation and product analytics layers.
Redbird parses your dbt project's manifest.json to understand model lineage, column-level tests, and metric definitions. It maps these to Mixpanel's event schemas, property structures, and user profile attributes. When you connect both systems, Redbird suggests automations based on actual schema overlaps—like syncing dbt-defined user segments to Mixpanel cohorts, or validating that Mixpanel event properties match dbt source expectations. No custom code to maintain schema mappings.
faster than writing custom Python scripts to sync dbt outputs with Mixpanel
Redbird can pull from dbt 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 dbt 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 dbt into Mixpanel, or from Mixpanel 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 dbt model runs, test failures, or documentation updates—and from Mixpanel schema changes, cohort updates, or export completions.
Fires when a specific model or tag finishes running in your data warehouse.
Triggers when data quality tests fail on sources, models, or specific columns.
Detects when metric YAML configurations are updated in version control.
Generates source YAML entries with schema, freshness, and test configurations.
Executes a targeted dbt run command for models, tags, or selector logic.
Modifies model or column descriptions in schema YAML files programmatically.
Fires when new properties are added to events or existing property types change.
Triggers when raw data pipelines finish exporting events to your warehouse.
Detects when users enter or exit saved cohorts based on behavioral criteria.
Bulk uploads user properties from warehouse tables to enrich behavioral analysis.
Builds saved cohorts in Mixpanel using user IDs from dbt model outputs.
Syncs display names, descriptions, and data types in Mixpanel's Lexicon from dbt docs.
Sync dbt and Mixpanel in minutes. Stop rebuilding the same logic across transformation and product analytics—let Redbird keep your schemas, metrics, and cohorts aligned automatically.