Connect Adobe Analytics and
Airflow with AI

Redbird AI automates the flow of behavioral data from Adobe Analytics into your Airflow pipelines. Stop writing custom API scripts to extract analytics data, manage incremental loads, or coordinate warehouse syncs — Redbird handles the orchestration, transformations, and scheduling automatically.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Export Adobe Analytics segments to data warehouse on scheduled DAGs

Automatically trigger Airflow DAGs when new segments are created or updated in Adobe Analytics. Redbird extracts segment definitions and membership data, transforms it to match your warehouse schema, and loads it into your target tables with full dependency management.

Orchestrate multi-source analytics pipelines with Adobe data as dependency

Use Adobe Analytics data availability as a trigger condition for downstream Airflow workflows. Redbird monitors for new hourly or daily data feeds, validates completeness, and kicks off dependent transformation jobs that combine behavioral data with CRM, product, and transaction sources.

Sync conversion events back to Adobe for attribution modeling

When Airflow pipelines process offline conversion data or calculate custom attribution, automatically send those events back to Adobe Analytics. Redbird maps your warehouse conversion schema to Adobe's event structure and handles batching, deduplication, and retry logic.

Archive raw Adobe clickstream data to cold storage after transformation

After Airflow processes and aggregates Adobe Analytics raw data feeds, automatically archive the source files to S3 or cloud storage. Redbird orchestrates the post-processing cleanup, maintains metadata for audit trails, and manages retention policies.

Alert analytics teams when pipeline SLAs breach data freshness thresholds

Monitor Airflow DAG runs that process Adobe Analytics data and automatically notify stakeholders when data latency exceeds acceptable thresholds. Redbird correlates pipeline failures with missing Adobe feeds, API rate limits, or schema changes and provides context in alerts.

Enrich Adobe Analytics eVars with customer attributes from warehouse transformations

When Airflow completes customer segmentation or enrichment jobs in your warehouse, push those attributes back to Adobe as classification imports. Redbird handles file formatting, FTP uploads, and validation so your behavioral data stays current with the latest customer intelligence.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Adobe Analytics and Airflow with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands Adobe Analytics' dimensional data model, classification hierarchies, and API pagination alongside Airflow's DAG structure, task dependencies, and XCom patterns.

AI that understands both Adobe's metrics and Airflow's orchestration logic

Redbird maps Adobe Analytics dimensions, metrics, segments, and calculated metrics to your warehouse schema without manual field mapping. It understands evars, props, success events, and SAINT classifications, then generates Airflow tasks with proper dependency chains, retry policies, and data quality checks. When Adobe's API returns paginated reports or data feed schemas change, Redbird adapts transformations automatically and updates your DAGs accordingly.

Segment & audience extraction
Data feed orchestration
Classification imports
Event schema mapping
10×

faster than building custom Adobe API extractors and Airflow operators

No Python SDK wrappers, pagination logic, or incremental load state management required

Auto-generated reports

Redbird can pull from Adobe Analytics and Airflow simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Adobe Analytics or Airflow.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Adobe Analytics into Airflow, or from Airflow back into Adobe Analytics. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any Adobe Analytics event or Airflow pipeline state, then take action across both systems.

Adobe Analytics
Triggers & Actions
Trigger

New segment created or modified

Fires when a segment definition changes or new audience criteria are saved in Adobe Analytics workspace.

Trigger

Data feed file available

Triggers when a new hourly or daily clickstream data feed file is ready for download from Adobe.

Trigger

Report suite schema updated

Detects when new eVars, props, or success events are configured in a report suite.

Action

Extract report with dimensions and metrics

Pull custom Analytics reports with specified breakdowns, segments, and date ranges via the Reporting API.

Action

Upload classification data

Import classification values for dimensions via SAINT API or FTP to enrich Adobe reporting.

Action

Insert bulk data source events

Send offline conversion events or historical data into Adobe Analytics via Data Sources API.

Airflow
Triggers & Actions
Trigger

DAG run completes successfully

Fires when an Airflow workflow finishes all tasks without failures, indicating data is ready downstream.

Trigger

Task fails or retries exhausted

Triggers when a specific Airflow task encounters errors and exceeds configured retry attempts.

Trigger

SLA miss detected

Activates when a DAG or task fails to complete within its defined service-level agreement timeframe.

Action

Trigger DAG run with parameters

Programmatically start an Airflow workflow and pass runtime configuration or date range parameters.

Action

Clear task instance state

Reset specific task states to rerun portions of a pipeline without reprocessing the entire DAG.

Action

Update variable or connection

Modify Airflow variables or connection strings dynamically based on external system changes or configurations.

Adobe Analytics
+
Airflow

Ready to connect your stack?

Stop maintaining brittle Adobe Analytics extractors and custom Airflow operators. Redbird connects your analytics data to production pipelines with AI that adapts as your schemas and workflows evolve.

Get started → Book a demo