Automate the pipeline between your Azure data lake and Klaviyo campaigns. Stop manually exporting customer segments, reformatting event data, and building custom ETL scripts to keep your marketing platform in sync with warehouse analytics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new segment files in Azure Blob Storage, parse customer attributes and preferences, and update Klaviyo lists with the latest audience data. Ensures marketing campaigns target the most current customer segments without manual CSV uploads.
Pull product interaction events, usage metrics, and enriched customer behavior from your data lake and map them to Klaviyo profile properties. Powers hyper-personalized email flows based on data warehouse analytics rather than just on-site activity.
Extract campaign metrics, email engagement events, and revenue attribution data from Klaviyo and store structured files in Azure Blob Storage. Creates a single source of truth for marketing analytics alongside other business data in your data lake.
Monitor Azure Blob Storage for updated ML model outputs with customer churn probabilities, then update Klaviyo profiles to trigger targeted win-back campaigns. Connects data science outputs directly to marketing execution without engineering overhead.
Continuously capture email opens, clicks, SMS engagement, and conversion events from Klaviyo into time-series files in Azure. Enables sophisticated attribution analysis that combines email performance with paid media, organic, and offline channels.
Detect refreshed recency-frequency-monetary analysis files in Azure Blob Storage and apply the latest customer tier classifications to Klaviyo profiles. Keeps lifecycle marketing segments aligned with warehouse-calculated customer value metrics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage and Klaviyo 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 AI understands both Azure Blob Storage file structures and Klaviyo's customer profile schema, so you can build sophisticated data pipelines without writing transformation code.
Redbird automatically detects CSV, JSON, and Parquet files in your Azure containers and maps columns to Klaviyo profile properties, list memberships, and custom events. It handles schema evolution when your data warehouse outputs change format, validates email addresses and phone numbers before sync, and intelligently batches updates to respect Klaviyo's API limits. The AI learns your naming conventions for customer IDs, segment flags, and behavioral attributes to keep mappings accurate as your data model evolves.
faster than building custom Python scripts to sync Azure files with Klaviyo
Redbird can pull from Azure Blob Storage and Klaviyo 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 Azure Blob Storage or Klaviyo.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Azure Blob Storage into Klaviyo, or from Klaviyo back into Azure Blob Storage. 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 new files landing in Azure Blob Storage or campaign events firing in Klaviyo — Redbird handles the complexity of both systems.
Detects when a new blob appears in a specified Azure Storage container, triggering downstream processing.
Monitors specific blob paths for updates or overwrites, useful for daily refresh patterns.
Triggers when files matching specific naming conventions (like date stamps or segment names) are created.
Extracts data from CSV, JSON, or Parquet files with automatic schema detection.
Creates new files in Azure Blob Storage with specified format and compression.
Moves processed files to archive storage tiers for cost-effective long-term retention.
Fires when a Klaviyo email or SMS campaign completes sending to its audience.
Detects when customer profiles receive new custom properties or attribute changes.
Triggers when contacts are added to specific Klaviyo lists or segments.
Writes custom attributes, tags, or metric data to existing Klaviyo customer profiles.
Adds contacts to specified Klaviyo lists based on data from Azure sources.
Creates custom behavioral events in Klaviyo to trigger flows and track non-standard interactions.
Stop building custom ETL pipelines between Azure Blob Storage and Klaviyo. Redbird AI automates the data flow so your marketing team always has access to your freshest customer intelligence.