Automatically sync Adobe Analytics behavioral data into your dbt transformation workflows. Stop manually exporting event data, wrestling with API schemas, or rebuilding broken pipelines when Adobe updates change field names.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Stream clickstream, conversion, and custom event data from Adobe Analytics into your warehouse as dbt sources. Redbird maps Adobe's schema to your staging models automatically, handling eVars, props, and context data without manual configuration. Keep raw behavioral data fresh for transformation.
When analysts create segments in Adobe Analytics, Redbird translates the logic into dbt SQL models with matching filters and business rules. Your warehouse mirrors Adobe's audience definitions, ensuring consistent metrics across systems. No more manual SQL translation from Adobe's UI.
Push standardized metric definitions from dbt back into Adobe Analytics as calculated metrics. Analytics teams work with warehouse-validated KPIs directly in Adobe's interface. Maintain single source of truth for revenue, engagement, and conversion calculations.
Monitor dbt test results on Adobe-sourced models and trigger alerts when data quality issues emerge. Catch schema changes, missing event properties, or volume anomalies before they break downstream dashboards. Redbird correlates dbt test failures with Adobe data feed status automatically.
Append enriched attributes from dbt models back to Adobe Analytics visitor profiles. Layer warehouse-calculated LTV, product affinity scores, or churn risk onto behavioral data. Enable Adobe analysts to segment and analyze using warehouse-grade transformations.
Automatically convert Adobe Data Warehouse extracts into dbt snapshot models with full history tracking. Preserve report suite changes, classification updates, and deleted segments as slowly-changing dimensions. Query historical Adobe configuration alongside behavioral data.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics 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 Adobe Analytics' complex data feed schemas and dbt's transformation layer requirements — mapping eVars, props, and custom events to your warehouse models automatically.
Redbird reads Adobe Analytics data feed documentation, classification hierarchies, and processing rules — then maps them to your dbt source definitions, staging models, and mart schemas. When Adobe changes event structures or adds context data, Redbird updates dbt sources and tests automatically. The AI recognizes calculated metrics in Adobe, generates equivalent dbt SQL, and suggests model refactors when transformation logic conflicts with warehouse best practices.
faster than manually exporting Adobe data feeds and writing dbt staging models
Redbird can pull from Adobe Analytics 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 Adobe Analytics 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 Adobe Analytics into dbt, or from dbt back into Adobe Analytics. 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 automation from any Adobe Analytics event change or dbt model execution — Redbird handles the rest.
Triggers when Adobe generates a new hourly or daily clickstream data feed file.
Fires when an analyst modifies segment rules or adds new conditions in Adobe Workspace.
Triggers when a new calculated metric is published in a report suite.
Pull specific dimension/metric combinations from Adobe API into structured tables.
Extract current classification mappings for dimensions like campaign codes or product SKUs.
Query visitor-level data including session history and custom variable assignments.
Fires when a specific dbt model finishes execution successfully or with errors.
Triggers when data quality tests fail on Adobe-sourced staging or mart models.
Fires when dbt detects column additions, removals, or type changes in Adobe data sources.
Execute transformation models on-demand when fresh Adobe data arrives.
Rebuild docs site with updated lineage for Adobe Analytics source models.
Capture point-in-time state of Adobe-sourced dimensions for historical analysis.
Sync Adobe Analytics behavioral data with dbt transformation pipelines automatically. Stop rebuilding broken exports and start shipping trusted analytics models.