Automate the flow between your data transformation layer and digital analytics platform. Stop manually exporting Piano event data to your warehouse, or rebuilding audience segments from dbt models. Redbird syncs metrics, transforms behavioral data, and keeps your analytics stack aligned.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync customer segments, cohorts, and user attributes from your dbt models into Piano Analytics as custom properties. Keep behavioral tracking aligned with your data warehouse definitions without manual CSV uploads or API scripting.
Pull behavioral event streams, pageview data, and conversion metrics from Piano Analytics into your data warehouse on a schedule. Let dbt models transform and join this data with your CRM, product, and subscription sources for unified analytics.
Monitor dbt test results and automatically notify teams in Slack or email when data quality issues impact models used for Piano Analytics reporting. Include test details, affected metrics, and lineage context so teams can triage quickly.
Merge subscription metrics, revenue data, and conversion rates from your dbt models with Piano Analytics traffic, engagement, and journey data. Automatically build and distribute reports that show the full picture of content ROI and audience behavior.
When new users or sessions appear in Piano Analytics, automatically enrich event data with customer tier, LTV segment, subscription status, and other attributes from your dbt customer dimension models. Keep behavioral tracking rich and warehouse-aligned.
When funnel definitions, goal configurations, or property mappings change in Piano Analytics, automatically update dbt seed files or documentation to maintain a single source of truth. Keep transformation logic aligned with tracking implementation without manual audits.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Piano Analytics 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 transformation layer—models, tests, sources, and lineage—and Piano Analytics' event schemas, properties, user tracking, and segment structures.
Redbird parses your dbt project metadata, model definitions, and compiled SQL to understand your transformation logic and data lineage. It maps Piano Analytics event properties, custom dimensions, user attributes, and audience segments to your warehouse schema. When you ask Redbird to sync a customer cohort or enrich event data, it knows which dbt models contain the source data, which Piano properties to target, and how to handle schema differences—without custom code or manual field mapping.
faster than building custom ETL scripts between your warehouse and Piano Analytics
Redbird can pull from dbt and Piano Analytics 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 Piano Analytics.
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 Piano Analytics, or from Piano Analytics 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 results, or Piano Analytics events—and take action in either system instantly.
Trigger when a specific dbt model finishes running, whether successful or failed.
Trigger when a data quality test fails on a model, source, or snapshot.
Trigger when a model execution adds new rows, such as new customer segments or cohorts.
Execute a dbt model or set of models on-demand via the CLI or Cloud API.
Write or append data to a CSV seed file in your dbt project repository.
Add or update tags, meta properties, or descriptions in dbt model YAML files.
Trigger when a goal completion, subscription conversion, or custom event fires in Piano Analytics.
Trigger when a visitor qualifies for a Piano Analytics audience segment based on behavior or properties.
Trigger when Piano Analytics completes a scheduled data export or API refresh window.
Set or update custom user attributes and dimensions for a visitor in Piano Analytics.
Define a new behavioral segment or refresh an existing one with updated user lists.
Push a custom behavioral event with properties to Piano Analytics for tracking and analysis.
Stop copying data between your warehouse and analytics tools. Redbird AI syncs dbt and Piano Analytics automatically—so your transformations and tracking stay aligned without the scripting.