Redbird AI syncs your Braze campaign data, user events, and engagement metrics directly into dbt-ready datasets in your warehouse. Stop writing custom ETL scripts and manually exporting CSVs to build your marketing analytics layer.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract campaign performance, message variants, and send metadata from Braze into your data warehouse. Redbird structures the data as staging tables ready for dbt transformation, ensuring your marketing analytics models always reflect the latest campaign activity.
Stream Braze user events—opens, clicks, conversions, unsubscribes—into your warehouse in real-time. Redbird maps event schemas to standardized tables that your dbt models can immediately transform into clean behavioral datasets and attribution models.
Push calculated fields from your dbt models—LTV scores, predicted churn risk, product affinity segments—back into Braze as user attributes. Redbird handles incremental updates and field mapping so your lifecycle campaigns can target using warehouse-grade analytics.
Automatically compile weekly or monthly reports from your dbt marketing models built on Braze data. Redbird queries your transformed campaign analytics, calculates KPIs like incremental revenue and retention lift, and distributes formatted reports to stakeholders.
Monitor your dbt tests on Braze-sourced models and get instant alerts when schema changes, missing events, or data quality issues are detected. Redbird notifies your data and marketing teams so they can resolve pipeline breaks before they impact downstream dashboards.
Capture campaign launches, A/B test configurations, and Canvas workflow changes from Braze as they happen. Redbird automatically updates your dbt source YAML files and generates documentation so your data team always knows the context behind marketing metrics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Braze and dbt 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 Braze's nested event schemas and campaign metadata structures, plus how to map them to clean dbt staging models in your warehouse.
Redbird automatically interprets Braze's API responses—campaign objects, Canvas steps, user event payloads, segment export formats—and structures them as normalized tables optimized for dbt transformation. Our AI recognizes when Braze schema changes occur and adjusts your ingestion logic accordingly. You get staging models with clear column names, proper typing, and documented lineage that your dbt workflows can immediately build upon.
faster than building custom Braze extractors and dbt staging models
Redbird can pull from Braze and dbt 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 Braze or dbt.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Braze into dbt, or from dbt back into Braze. 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 Braze campaign event or dbt model run—Redbird monitors both systems and executes your workflows instantly.
Triggers when a Braze campaign completes sending to its target audience.
Fires when users enter a specific Canvas workflow step in Braze.
Triggers on specific custom events logged in Braze, like purchases or feature usage.
Write calculated fields or flags to Braze user profiles for segmentation.
Define or modify a Braze segment using external data from your warehouse.
Extract campaign performance metrics and message variant stats to your data warehouse.
Triggers when a specific dbt model finishes transforming data successfully.
Fires when data quality tests fail on any model in your dbt project.
Triggers when dbt detects stale data in Braze-sourced tables.
Execute a specific dbt model or tag group to refresh transformed datasets.
Compile and update dbt docs with the latest lineage and schema information.
Initialize a new dbt staging model from incoming Braze data structures.
See how Redbird AI can sync Braze to dbt and automate your marketing analytics pipeline. Connect your tools and start building transformations in minutes.