Redbird AI automates the flow of mobile attribution data from AppsFlyer into Azure Blob Storage. Stop manually exporting campaign performance reports, install data, and event logs. Let AI handle the extraction, formatting, and storage so your data team can focus on analysis instead of file transfers.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull AppsFlyer campaign-level metrics, ROAS calculations, and attribution reports each morning and stage them as partitioned Parquet files in Azure Blob Storage. Redbird handles deduplication, schema mapping, and incremental updates so your data warehouse always has clean, current attribution data ready for ETL pipelines.
Stream AppsFlyer raw data reports—install events, in-app events, and postback logs—directly to Azure Blob Storage with timestamp-based folder structures. Redbird compresses and organizes files by date and campaign ID, ensuring you meet data retention policies without manual intervention or storage bloat.
Extract cohort analysis and lifetime value metrics from AppsFlyer and write them to Azure Blob Storage in a format ready for machine learning pipelines. Redbird structures the data with proper date partitions and user segments, so data scientists can immediately load it into Azure ML or Databricks without preprocessing.
Pull AppsFlyer's fraud validation reports, rejected installs, and suspicious event patterns into Azure Blob Storage on a configurable schedule. Redbird formats the data for compatibility with Azure Sentinel or custom fraud detection models, giving your security team immediate access to attribution anomalies and fraud signals.
Read enriched user segments and custom audience files from Azure Blob Storage and push them to AppsFlyer for retargeting campaigns. Redbird validates schema compatibility, handles audience ID mapping, and ensures your ML-generated segments reach AppsFlyer's audience builder without manual file uploads or API scripting.
Combine AppsFlyer attribution metrics with conversion data from Azure storage, then output consolidated weekly performance reports back to Blob Storage in Excel and CSV formats. Redbird joins datasets across install dates and campaign IDs, calculates trend deltas, and stages reports where BI tools or stakeholders can access them directly.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and Azure Blob Storage 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 AppsFlyer's attribution schemas and Azure Blob Storage's hierarchical namespace, so you can automate data pipelines without writing custom ETL code or managing API pagination.
Redbird reads AppsFlyer's raw data reports, aggregated tables, and cohort exports—understanding media source IDs, install timestamps, event revenue, and LTV breakdowns. It automatically maps these to Azure Blob Storage's container and folder hierarchies, choosing optimal file formats (Parquet, JSON, CSV) and partition schemes based on your downstream use case. Whether you're building a data lake on ADLS Gen2 or staging files for Synapse Analytics, Redbird handles schema evolution, nested event parameters, and incremental updates without manual intervention.
faster than building custom AppsFlyer exporters with Azure Functions
Redbird can pull from AppsFlyer and Azure Blob Storage 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 AppsFlyer or Azure Blob Storage.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from AppsFlyer into Azure Blob Storage, or from Azure Blob Storage back into AppsFlyer. 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 attribution data in AppsFlyer or whenever files land in Azure Blob Storage—Redbird connects both systems in any direction.
Fires when AppsFlyer generates a new daily, hourly, or custom raw data export for installs or in-app events.
Triggers when specific campaigns cross ROAS, CPI, or conversion rate thresholds you define.
Activates when AppsFlyer publishes new fraud detection results or rejected install lists.
Pulls install, event, or revenue data from AppsFlyer for a specified time window and media source.
Fetches LTV, retention, and cohort performance data segmented by acquisition date and channel.
Pushes a list of device IDs or user identifiers to AppsFlyer's audience builder for retargeting.
Fires when a file or object is uploaded to a specified Azure Blob Storage container or folder path.
Triggers when an existing file in Azure Blob Storage is updated, replaced, or appended to.
Runs on a cron schedule to check for new or changed blobs matching specific naming patterns or metadata tags.
Uploads data to Azure Blob Storage, organizing files into date-based or campaign-based folder structures.
Adds new records to an append blob or creates incremental files in a landing zone for streaming ingestion.
Relocates files to cool or archive storage tiers based on age, usage, or retention policy.
Sync AppsFlyer attribution data with Azure Blob Storage in minutes. Redbird AI handles schema mapping, incremental exports, and file formatting so your mobile analytics flow directly into your data lake without custom code.