Automate the flow of mobile attribution data from AppsFlyer into BigQuery for deeper analysis. Stop manually exporting campaign data, building fragile ETL scripts, or waiting on engineers to update attribution schemas. Redbird syncs your mobile analytics stack automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically export installs, in-app events, and revenue data from AppsFlyer to BigQuery on a daily schedule. Redbird maps attribution fields to your warehouse schema and handles incremental updates, so your analytics team always has fresh mobile data without managing data pipelines.
Join AppsFlyer attribution data with product usage tables in BigQuery to analyze retention by acquisition channel. Redbird queries both systems, merges user cohorts, and generates retention curves that show which campaigns drive sticky users, not just installs.
Pull campaign cost data from AppsFlyer and join it with transaction revenue stored in BigQuery to calculate accurate return on ad spend. Redbird handles the attribution window logic and cross-references user IDs across systems, delivering ROAS breakdowns by network, campaign, and creative.
Monitor AppsFlyer data flowing into BigQuery for sudden drops in installs or spikes in cost per install. When Redbird detects anomalies outside expected thresholds, it flags the affected campaigns and channels so growth teams can investigate tracking issues or budget pacing problems immediately.
Export complete AppsFlyer event histories into BigQuery for regulatory compliance and multi-year performance analysis. Redbird preserves raw attribution data with all custom parameters and timestamps, creating a durable archive that supports audits and longitudinal studies of user acquisition efficiency.
Push segment classifications and LTV predictions from BigQuery back into AppsFlyer for smarter retargeting. Redbird identifies high-value user cohorts in your warehouse and syncs those audiences to AppsFlyer, enabling marketing teams to optimize campaigns based on predicted lifetime value, not just install counts.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize AppsFlyer and BigQuery 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 AppsFlyer's attribution data model and BigQuery's nested schema structure, so you can automate mobile analytics workflows without writing transformation code.
Redbird reads AppsFlyer's event structure—install timestamps, media sources, campaign parameters, in-app event payloads—and intelligently maps them to BigQuery's nested and repeated fields. It handles user ID reconciliation across device IDs and advertising identifiers, manages partition strategies for time-series attribution data, and adapts when AppsFlyer adds custom event parameters. Your mobile data flows into the warehouse with the right granularity and joins, without manual schema management.
faster than building custom ETL for mobile attribution data
Redbird can pull from AppsFlyer and BigQuery 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 BigQuery.
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 BigQuery, or from BigQuery 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 attribution event in AppsFlyer or data change in BigQuery, and take action across your mobile analytics stack.
Fires when AppsFlyer records a new app install with attribution to a specific media source or campaign.
Triggers when a user completes a tracked in-app event like purchase, registration, or level completion.
Activates when AppsFlyer generates daily aggregated performance data for campaigns and ad networks.
Sends install, event, or aggregated campaign data from AppsFlyer to a specified destination.
Modifies or creates a user audience in AppsFlyer based on behavioral criteria or external data.
Retrieves granular event-level data from AppsFlyer's raw data exports for custom analysis.
Fires when fresh data is added to a BigQuery table, such as daily revenue uploads or product events.
Triggers when a scheduled BigQuery query returns values outside defined bounds, like drop in conversion rate.
Activates when column definitions or partitioning in a BigQuery table are updated.
Executes a custom SQL query against BigQuery datasets and retrieves the result set for downstream use.
Writes new data or updates existing records in a BigQuery table with specified values.
Generates a new BigQuery table or overwrites an existing one using results from a SQL query.
Sync AppsFlyer attribution data to BigQuery automatically and unlock deeper mobile analytics. Stop maintaining ETL pipelines and start analyzing what drives user growth.