Connect Adobe Analytics and
Google Cloud Storage with AI

Redbird AI syncs behavioral data, customer segments, and attribution reports from Adobe Analytics directly into Google Cloud Storage. Stop writing custom export scripts and manually orchestrating data feeds for your GCP pipelines.

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 raw clickstream data to GCS daily for BigQuery analysis

Automatically extract full clickstream datasets from Adobe Analytics and write them as partitioned Parquet files in Google Cloud Storage. Redbird handles incremental loads, deduplication, and schema evolution so your BigQuery tables always reflect the latest visitor behavior.

Archive historical Adobe Analytics workspace reports to cost-effective GCS buckets

Pull scheduled Adobe Analytics workspace reports and automatically archive them in Google Cloud Storage with lifecycle policies for compliance and cost optimization. Maintain years of trend data without inflating your Analytics workspace storage or licensing costs.

Sync Adobe Analytics audience segments to GCS for ML model training workflows

Export high-value customer segments from Adobe Analytics and stage them as JSON or CSV in Google Cloud Storage. Feed these behavioral cohorts directly into Vertex AI or custom ML pipelines for propensity modeling and next-best-action predictions.

Push campaign attribution data from Adobe Analytics to GCS for cross-platform reporting

Extract multi-touch attribution reports from Adobe Analytics and land them in Google Cloud Storage alongside media spend data from other sources. Redbird normalizes attribution schemas so you can build unified ROI dashboards in Looker or Data Studio.

Load enriched customer profiles from GCS into Adobe Analytics for segmentation

Read CSV or JSON customer profiles from Google Cloud Storage and push them into Adobe Analytics via Classification API. Combine offline CRM attributes with behavioral data to build richer segments and personalization audiences.

Trigger Adobe Analytics data refreshes when new datasets land in GCS buckets

Monitor Google Cloud Storage for new files from your data pipeline and automatically initiate Adobe Analytics data feeds or API imports. Keep your analytics workspace in sync with upstream data changes without manual coordination between teams.

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 Google Cloud Storage 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 event schemas, segment definitions, and workspace structures — plus Google Cloud Storage bucket organization, object lifecycle policies, and native GCP service integrations.

AI that understands analytics schemas and cloud storage patterns

Redbird maps Adobe Analytics eVars, props, success events, and custom dimensions to structured data formats optimized for Google Cloud Storage and downstream GCP services. The platform automatically handles nested JSON from Adobe's API, converts to columnar formats like Parquet when needed, and partitions data by date or segment for efficient BigQuery external table querying. You describe what behavioral data you need in your data lake — Redbird handles the extraction, transformation, and storage orchestration.

Auto-map eVars and props to storage schemas
Convert Adobe JSON to Parquet or Avro
Partition by date or segment for BigQuery
Handle incremental data feed updates
10×

faster than building custom Adobe Analytics to GCS export pipelines

No need to write Python scripts, manage Cloud Functions, or troubleshoot Adobe API pagination and rate limits.

Auto-generated reports

Redbird can pull from Adobe Analytics and Google Cloud Storage 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 Google Cloud Storage.

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 Google Cloud Storage, or from Google Cloud Storage 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 Adobe Analytics report schedules, segment changes, or data feed availability — or trigger from new files and objects landing in Google Cloud Storage.

Adobe Analytics
Triggers & Actions
Trigger

Scheduled report completes

Fires when a scheduled Adobe Analytics workspace report finishes generating.

Trigger

Audience segment updated

Triggers when membership counts change in a specified Adobe Analytics segment.

Trigger

Data feed file available

Detects when Adobe Analytics data feed files are ready for download.

Action

Export workspace report data

Pulls report data from a specific Adobe Analytics workspace project via API.

Action

Extract segment membership

Retrieves the list of visitor IDs or customer IDs belonging to a segment.

Action

Query raw clickstream events

Fetches raw event-level data using Adobe Analytics API with custom date ranges and filters.

Google Cloud Storage
Triggers & Actions
Trigger

New object created in bucket

Fires when a new file or folder is added to a specified Google Cloud Storage bucket.

Trigger

Object metadata updated

Triggers when metadata or custom properties change on a storage object.

Trigger

Lifecycle policy executed

Detects when GCS automatically archives or deletes objects based on lifecycle rules.

Action

Write file to bucket

Uploads a file to a specified Google Cloud Storage bucket with optional folder structure.

Action

Append to existing object

Adds new data to an existing file in Google Cloud Storage, useful for log aggregation.

Action

Set object metadata and labels

Updates custom metadata, storage class, or labels on a GCS object for organization and cost tracking.

Adobe Analytics
+
Google Cloud Storage

Ready to connect your stack?

Join teams using Redbird AI to sync Adobe Analytics behavioral data into Google Cloud Storage and power their GCP data pipelines without custom engineering work.

Get started → Book a demo