Redbird AI automates the flow between your data lake and customer engagement platform. Stop manually exporting CSVs, uploading user attributes, or writing custom scripts to sync audience segments and campaign data between S3 and Braze.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When your data pipeline outputs audience segments to S3, Redbird automatically parses the files and updates user attributes in Braze. No manual CSV imports or engineering time required to keep segments fresh across your marketing stack.
Launch personalized lifecycle campaigns the moment your enrichment pipeline writes updated customer profiles to S3. Redbird monitors specific buckets, extracts the relevant attributes, and triggers the appropriate Braze campaign canvas based on data thresholds or segment changes.
Route all email opens, clicks, push interactions, and conversion events from Braze to your S3 data lake. Redbird structures engagement data in your preferred format and partitions it by campaign, channel, and date for seamless warehouse ingestion and retention analysis.
When your ML models generate churn scores, propensity predictions, or LTV estimates in S3, Redbird automatically maps those values to the corresponding Braze user profiles. Keep predictive attributes synchronized without building custom API integrations or batch upload workflows.
Automatically extract current segment membership and user cohorts from Braze and store them as versioned datasets in S3. Redbird handles incremental exports and schema consistency so your data team always has fresh audience definitions for attribution modeling and reporting.
Schedule automatic exports of campaign metrics, canvas performance, and channel engagement summaries from Braze to S3. Redbird formats the data for your warehouse schema and triggers downstream dbt runs or Tableau refreshes without manual reporting workflows.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Braze 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 both S3 object structures and Braze's user profile schema, so you can automate data flows without writing transformation code or managing API calls.
Redbird automatically detects file formats in S3—CSV, JSON, Parquet, newline-delimited—and maps columns to Braze user attributes, custom events, and purchase data. It handles schema drift, nested objects, and data type conversions so your user profiles stay accurate. When syncing from Braze to S3, Redbird structures engagement events and segment exports in your data lake's partitioning scheme without custom ETL code.
faster than building custom S3-to-Braze sync scripts
Redbird can pull from Amazon S3 and Braze 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 Amazon S3 or Braze.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Braze, or from Braze back into Amazon S3. 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 S3 event or Braze campaign activity, and take action across both systems without writing code.
Trigger workflows when any file or specific file pattern lands in a designated S3 bucket or prefix.
Detect when an existing S3 object is updated or overwritten with new data.
Start workflows when a file in S3 exceeds a specified size, signaling batch completion.
Write structured data to S3 in CSV, JSON, or Parquet format with custom partitioning.
Relocate files between buckets or prefixes as part of data pipeline orchestration.
Automatically zip or compress files in S3 for long-term storage or cost optimization.
Trigger workflows when a user qualifies for and enters a specific campaign canvas.
Start automations based on engagement events like email opens, clicks, or bounces.
React to any user behavior event sent to Braze via SDK or API, like purchases or feature usage.
Write or modify custom attributes on Braze user profiles based on external data sources.
Send behavioral events to Braze to trigger campaigns or update user engagement history.
Programmatically add or remove users from dynamic segments based on data conditions.
Sync Amazon S3 and Braze automatically with Redbird AI. Stop writing custom scripts to move audience data and campaign metrics between your data lake and marketing platform.