Automate the flow of mobile attribution data from AppsFlyer into your data warehouse and analytics stack. Stop manually extracting campaign performance metrics, building brittle API scripts, or debugging broken pipeline jobs that should just work.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract install, event, and revenue data from AppsFlyer and load it into Snowflake, BigQuery, or Redshift. Redbird orchestrates the entire DAG—from API calls to transformations to loading—keeping your warehouse fresh with the latest attribution metrics.
When AppsFlyer generates new cohort data or completes attribution windows, automatically kick off Airflow DAGs that calculate LTV models, update BI dashboards, or send reports to stakeholders. No more waiting for manual triggers or checking if data arrived.
Pull user segments, subscription tiers, and customer attributes from your data warehouse and push them back to AppsFlyer as custom user attributes. Enable richer audience segmentation and retargeting based on your complete customer view.
Run scheduled Airflow jobs that analyze AppsFlyer ROAS and conversion trends across campaigns. When metrics fall outside expected ranges or fraud patterns emerge, automatically alert Slack channels or create tickets with context and suggested actions.
Orchestrate daily exports of raw attribution events, click data, and conversion logs from AppsFlyer to long-term storage. Maintain complete audit trails of marketing spend attribution while keeping your active warehouse optimized for queries.
Combine AppsFlyer attribution data with spend data from ad platforms and product metrics from your warehouse. Airflow orchestrates the joins, transformations, and report generation—delivering comprehensive performance breakdowns to stakeholders every Monday.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and AppsFlyer 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 Airflow DAG structures and AppsFlyer's attribution data schemas—from install postbacks to in-app event parameters to cohort definitions.
Redbird maps AppsFlyer's install events, revenue events, retargeting conversions, and fraud indicators to your warehouse schema automatically. It understands attribution windows, media source hierarchies, agency dimensions, and custom event parameters. When you connect both systems, Redbird generates Airflow DAGs that handle API pagination, rate limits, incremental loads, and late-arriving attribution data—no template editing required.
faster than building custom AppsFlyer extraction DAGs with Python operators
Redbird can pull from Airflow and AppsFlyer 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 Airflow or AppsFlyer.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into AppsFlyer, or from AppsFlyer back into Airflow. 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 DAG completions in Airflow or new attribution data in AppsFlyer—Redbird connects both directions.
Trigger workflows when an Airflow pipeline finishes, whether it's a warehouse transformation or external API sync.
Catch pipeline failures, timeout errors, or retry attempts to alert teams or trigger recovery workflows.
Monitor individual task completion, skips, or upstream failures within complex multi-step pipelines.
Kick off Airflow workflows programmatically with custom config values, date ranges, or processing flags.
Mark tasks as successful, failed, or skipped, or add execution metadata based on external conditions.
Dynamically enable or disable scheduled pipeline runs based on data availability or business conditions.
Trigger when AppsFlyer attributes new app installs to specific media sources, campaigns, or ad sets.
Start workflows when in-app purchases or subscription events exceed defined revenue amounts per user or cohort.
React immediately when AppsFlyer's fraud detection marks installs or events as suspicious or fraudulent.
Build retargeting audiences in AppsFlyer based on user behavior, conversion events, or warehouse-derived segments.
Push enrichment data like subscription status, LTV tier, or customer segments to AppsFlyer user profiles.
Extract install data, event logs, or aggregated reports from AppsFlyer and deliver to cloud storage or data platforms.
Connect Airflow and AppsFlyer in minutes. Let Redbird AI handle the orchestration, schema mapping, and pipeline maintenance so your team can focus on attribution insights, not infrastructure.