Redbird AI automates the flow of behavioral data from Adobe Analytics into Amazon S3. Stop manually scheduling data feeds, wrestling with FTP exports, or building custom scripts to move analytics data into your data lake.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract raw clickstream and event data from Adobe Analytics and land it in S3 as structured files. Redbird handles incremental loads, partitioning by date, and compression so your data lake stays current without manual intervention.
Pull Adobe Analytics segments and user-level membership data into S3 for downstream processing. Teams use this to merge behavioral segments with CRM data, build ML training sets, or activate audiences through reverse ETL workflows.
Export multi-touch attribution and campaign performance reports from Adobe Analytics to S3 automatically. Data is stored in queryable formats like Parquet or JSON, ready for historical analysis or regulatory retention requirements.
Capture Adobe Analytics events as they happen and write them to S3 in near-real-time. This powers downstream Lambda functions, streaming analytics, or alerting systems that need fresh behavioral signals without waiting for daily batch exports.
Push cleaned or enriched event data stored in S3 back into Adobe Analytics using the Data Sources API. This workflow lets teams centralize data transformation in their data lake, then surface results in Adobe for analyst consumption.
Monitor S3 buckets for missing files, unexpected schema changes, or data quality issues in exported Adobe Analytics feeds. Redbird automatically notifies teams through Slack or email when exports don't land as expected, preventing silent pipeline failures.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics and Amazon S3 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 schemas—eVars, props, custom events, merchandising variables—and how to structure them for efficient storage and querying in S3.
Redbird maps Adobe Analytics dimensions, metrics, and calculated fields to optimized S3 file structures automatically. It handles nested JSON from Adobe's APIs, flattens hierarchical data when needed, and partitions outputs by date, report suite, or custom dimensions. No need to manually define schemas or write transformation logic—Redbird infers the right structure based on how your team actually uses both systems.
faster than building custom Adobe Data Feed parsers and S3 upload scripts
Redbird can pull from Adobe Analytics and Amazon S3 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 Amazon S3.
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 Amazon S3, or from Amazon S3 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 workflows from any Adobe Analytics report update or S3 file event, and automate actions across both platforms.
Triggers when fresh data is processed and available for a specific report suite.
Fires when users enter or exit a defined Adobe Analytics segment.
Triggers when a tracked custom event surpasses a configured volume or frequency.
Pull specific report data from Adobe Analytics workspace or API in structured format.
Run ad-hoc queries against raw Adobe Analytics data using specific eVars, props, or date ranges.
Push classification values into Adobe Analytics to enrich reporting dimensions.
Fires when a file is added to a specific S3 bucket or prefix path.
Triggers when an existing S3 object is updated or overwritten.
Runs on a schedule to check for new or changed files matching specific patterns.
Upload data to a specified S3 location with custom naming and partitioning.
Add new rows or records to an existing file in S3 without replacing it.
Transfer S3 objects across buckets or prefixes based on workflow logic.
Sync Adobe Analytics to Amazon S3 automatically and stop manually exporting behavioral data. Redbird handles the complexity so your team can focus on analysis, not pipeline maintenance.