Sync mobile attribution data to your warehouse automatically. Stop writing custom ETL scripts to move campaign performance metrics, install events, and in-app conversion data into Redshift. Redbird AI keeps your attribution data warehouse-ready and analysis-ready.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract attribution data, conversion events, and user-level engagement metrics from AppsFlyer and load them into structured Redshift tables. Redbird handles schema mapping, deduplication, and incremental updates so your analytics team always works with fresh mobile data.
Transform raw install and event streams into pre-aggregated tables grouped by campaign, ad network, and geo. Redbird creates analytics-ready views that power BI dashboards without requiring complex SQL transformations or dbt models.
Move older attribution records beyond AppsFlyer's retention window into Redshift for long-term storage and analysis. Maintain complete campaign history for cohort analysis and multi-year ROAS calculations without paying for extended AppsFlyer data retention.
Join mobile attribution events with subscription, transaction, and support data already in Redshift. Redbird combines AppsFlyer's campaign data with warehouse tables to calculate true customer lifetime value by acquisition channel and send enriched cohorts back to marketing platforms.
Pull campaign cost data from AppsFlyer and join it with revenue tables in Redshift to calculate accurate return on ad spend. Redbird automates the cross-system reporting that growth teams currently build with scheduled queries and Python scripts.
Monitor aggregated AppsFlyer data in Redshift for anomalies like fraud spikes, CPA increases, or conversion rate drops. Trigger notifications to Slack or email when calculated metrics cross defined thresholds, enabling faster response to campaign performance changes.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and Redshift 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 data model and Redshift's columnar schema requirements, so you don't need to build custom pipelines for every mobile metric.
Redbird automatically maps AppsFlyer's event schemas—installs, in-app events, conversion funnels, and retargeting audiences—to optimized Redshift table structures with proper distribution keys and sort keys. It handles nested JSON from rich in-app events, maintains referential integrity across attribution touchpoints, and creates incrementally updated tables that support efficient analytical queries. No more writing custom Python jobs to parse AppsFlyer exports or manually defining Redshift DDL for every new event type.
faster than building custom ETL to sync AppsFlyer attribution data to Redshift
Redbird can pull from AppsFlyer and Redshift 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 Redshift.
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 Redshift, or from Redshift 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 events in AppsFlyer or completed query results in Redshift—Redbird connects the dots across your mobile analytics stack.
Fires when AppsFlyer attributes a new app install to a campaign, ad network, or organic source.
Triggers when a user completes a tracked action like purchase, registration, or level completion.
Activates when AppsFlyer's fraud detection flags suspicious installs or engagement patterns.
Retrieves bulk attribution data from AppsFlyer's raw data export API for warehouse loading.
Builds a user segment in AppsFlyer based on behavioral criteria for retargeting campaigns.
Pushes ad spend information to AppsFlyer to enable ROAS calculations within the platform.
Fires when a scheduled analytical query in Redshift finishes executing and results are ready.
Triggers when new rows are inserted into a specified Redshift table via ETL or data pipeline.
Activates when a table's row count crosses a defined limit, indicating data volume growth.
Runs a custom SQL statement against Redshift to transform, aggregate, or analyze data.
Defines new Redshift tables or modifies existing schemas to accommodate incoming data structures.
Exports query results from Redshift to S3 in Parquet or CSV format for archival or sharing.
Stop building custom pipelines to sync AppsFlyer attribution data to Redshift. Redbird AI automates mobile analytics warehousing so your team can focus on insights, not infrastructure.