Sync mobile attribution data directly into your lakehouse without CSV exports or brittle API scripts. Redbird AI automates the pipeline from AppsFlyer campaigns to Databricks tables, so your data team can focus on modeling and insights instead of data plumbing.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync install, in-app event, and deep linking data from AppsFlyer to Databricks Delta tables as events occur. Redbird maps attribution dimensions, revenue metrics, and custom event parameters to your lakehouse schema without manual transformation jobs.
Pull daily campaign performance, cohort retention, and LTV data from AppsFlyer into Databricks for analysis. Redbird structures attribution metrics by campaign, channel, and geo into analysis-ready tables your data science team can query immediately.
Combine mobile attribution events from AppsFlyer with user profiles, transaction history, and ML features stored in Databricks. Redbird joins attribution IDs with your customer data models to create unified user journey datasets for predictive modeling.
Send churn predictions, propensity scores, and audience segments computed in Databricks back to AppsFlyer audiences. Redbird maps your ML model outputs to AppsFlyer audience IDs and device identifiers for programmatic retargeting campaigns.
Monitor AppsFlyer campaign metrics processed in Databricks and trigger notifications when statistical models detect performance anomalies. Redbird runs your anomaly detection jobs and routes alerts with campaign context to the right channels.
Automatically export complete AppsFlyer raw data reports to Databricks Unity Catalog on a scheduled basis. Redbird handles incremental extraction, deduplication, and cataloging of attribution logs for long-term retention and audit requirements.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and Databricks 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 AppsFlyer's attribution event schemas and Databricks lakehouse architectures, so you can connect mobile analytics to your data platform without custom engineering.
Redbird's AI knows how AppsFlyer structures install events, in-app conversions, revenue attribution, and fraud indicators — and how to map those to Databricks Delta tables, Unity Catalog schemas, and feature store formats. It handles nested JSON event parameters, attribution windows, and time zone conversions automatically. When your AppsFlyer schema changes or you restructure your lakehouse tables, Redbird adapts the pipeline without breaking transformations.
faster than building Spark jobs to parse AppsFlyer API responses
Redbird can pull from AppsFlyer and Databricks 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 Databricks.
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 Databricks, or from Databricks 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 any AppsFlyer campaign event or Databricks job completion — Redbird handles the connection logic.
Fires when AppsFlyer attributes a new app install to a specific campaign or media source.
Triggers when a user completes a tracked in-app action like purchase, registration, or level completion.
Activates when AppsFlyer generates daily rollup reports for campaign performance and cohort metrics.
Build a retargeting audience in AppsFlyer based on device IDs or user attributes.
Request a raw data export from AppsFlyer for specific date ranges and event types.
Modify server-to-server postback settings for attribution partners and ad networks.
Fires when new data is written to a specified Delta table in your Databricks workspace.
Triggers when a scheduled Databricks notebook finishes running, whether successfully or with errors.
Activates when a new model version is logged to MLflow or the Databricks Model Registry.
Insert or merge records into a Delta table with automatic schema handling and partition management.
Run a SQL statement against Databricks SQL warehouse or cluster and return results.
Start a Databricks notebook job with custom parameters and track execution status.
Stop manually exporting AppsFlyer data and writing Spark jobs to load it. Redbird AI builds the pipeline from mobile attribution to lakehouse analytics automatically.