Connect AppsFlyer and
PostgreSQL with AI

Sync mobile attribution data, campaign performance metrics, and user behavior events from AppsFlyer directly into your PostgreSQL warehouse. Stop manually exporting CSVs, writing custom ETL scripts, or dealing with API rate limits to get attribution insights into your database.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync AppsFlyer install and in-app event data to PostgreSQL tables daily

Automatically pull attribution data, install events, and in-app conversions from AppsFlyer into structured PostgreSQL tables. Redbird handles incremental updates, deduplication, and schema mapping so your warehouse always reflects the latest campaign performance without custom pipeline code.

Archive raw AppsFlyer event streams to PostgreSQL for long-term analysis

Capture complete event-level data from AppsFlyer before aggregation limits apply, storing raw attribution events in PostgreSQL for unlimited historical analysis. Maintain full-fidelity records of every install, re-engagement, and conversion event for compliance and deep-dive analytics.

Build daily campaign ROAS reports from AppsFlyer data in PostgreSQL

Combine AppsFlyer attribution metrics with revenue data already in PostgreSQL to calculate return on ad spend by campaign, geo, and cohort. Redbird joins attribution to transaction tables and generates updated performance reports on schedule without SQL scripting.

Enrich AppsFlyer cohorts with customer segments stored in PostgreSQL

Match AppsFlyer device IDs with customer profiles, subscription status, and behavioral segments in your PostgreSQL database. Send enriched audience lists back to AppsFlyer for more targeted retargeting campaigns based on your complete customer data.

Alert growth teams when AppsFlyer fraud metrics spike in PostgreSQL dashboards

Monitor AppsFlyer fraud indicators and install validation rates synced to PostgreSQL, triggering alerts when anomalies appear. Detect suspicious campaign activity faster by correlating attribution data with internal fraud signals already in your warehouse.

Query AppsFlyer LTV trends across cohorts using natural language

Ask questions about lifetime value patterns, retention curves, and channel efficiency directly against AppsFlyer data synced to PostgreSQL. Redbird's AI translates questions into SQL that joins attribution events with your existing customer and revenue tables for instant answers.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize AppsFlyer and PostgreSQL with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands AppsFlyer's attribution schema and PostgreSQL's relational structure, automatically mapping event payloads to optimized table designs without manual configuration.

AI that understands mobile attribution data and warehouse schemas

Redbird recognizes AppsFlyer's nested event structures, attribution windows, and media source taxonomies, intelligently mapping them to normalized PostgreSQL tables. The platform handles timestamp conversions, JSON flattening for custom event parameters, and incremental loading strategies based on event time. When you connect both systems, Redbird analyzes your existing PostgreSQL schema and suggests optimal table structures for attribution data, or creates new ones that integrate cleanly with your current data model.

Auto-flatten AppsFlyer JSON events
Incremental sync by event_time
Detect schema drift in attribution fields
Join on device_id and user_id
10×

faster than building custom AppsFlyer-to-warehouse pipelines with Airflow or event collectors

No Python ETL scripts, API pagination logic, or cron job monitoring required

Auto-generated reports

Redbird can pull from AppsFlyer and PostgreSQL simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either AppsFlyer or PostgreSQL.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from AppsFlyer into PostgreSQL, or from PostgreSQL back into AppsFlyer. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any AppsFlyer attribution event or PostgreSQL data change, then take action across your entire stack.

AppsFlyer
Triggers & Actions
Trigger

New install event recorded

Fires when AppsFlyer attributes a new app install to a campaign or media source.

Trigger

In-app purchase event received

Triggers when a user completes a conversion event tracked through AppsFlyer's SDK.

Trigger

Fraud detection flag raised

Activates when AppsFlyer marks an install or event as potentially fraudulent.

Action

Export cohort audience list

Send a segmented user list from your data warehouse back to AppsFlyer for retargeting.

Action

Update custom event schema

Modify custom event parameter definitions when your tracking taxonomy changes.

Action

Retrieve aggregated campaign performance

Pull campaign-level metrics including impressions, clicks, installs, and cost data for specific date ranges.

PostgreSQL
Triggers & Actions
Trigger

New row inserted in target table

Fires when fresh data arrives in specified PostgreSQL tables like transactions or user profiles.

Trigger

Query result threshold exceeded

Triggers when a scheduled SQL query result crosses defined thresholds for metrics or counts.

Trigger

Schema change detected

Activates when column types, constraints, or table structures are modified in tracked databases.

Action

Insert rows into table

Write new records to PostgreSQL tables with proper type casting and constraint validation.

Action

Update existing records by key

Modify rows based on primary key or unique identifier matches, handling upsert logic automatically.

Action

Execute parameterized SQL query

Run custom SELECT, UPDATE, or DELETE statements with dynamic values from upstream workflow data.

AppsFlyer
+
PostgreSQL

Ready to connect your stack?

Sync AppsFlyer attribution data to PostgreSQL in minutes, not weeks. Stop building custom pipelines and start analyzing mobile performance across your entire data warehouse.

Get started → Book a demo