Connect AppsFlyer and
MySQL with AI

Redbird AI syncs mobile attribution data from AppsFlyer directly into MySQL without custom ETL scripts or manual exports. Stop copying campaign performance metrics, install events, and user cohorts between systems—automate the entire pipeline and keep your operational database in sync with your attribution platform.

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 daily campaign attribution metrics to MySQL for product analytics

Automatically extract install attribution, conversion events, and campaign-level performance from AppsFlyer and write them to MySQL tables. Keep user acquisition data synchronized with product event data for unified analysis. Join attribution metrics with transactional records to calculate true customer LTV.

Archive raw AppsFlyer install events into MySQL for compliance and auditing

Capture every install, re-attribution, and organic conversion event from AppsFlyer and store them in MySQL with full metadata. Maintain a historical record of all attribution decisions for compliance reviews. Query raw event streams alongside operational data without hitting API rate limits.

Load user cohorts from MySQL into AppsFlyer for retargeting campaigns

Query MySQL for high-value users, churned segments, or behavioral cohorts and push them to AppsFlyer as custom audiences. Trigger retargeting campaigns based on transactional behavior stored in your database. Sync audience membership dynamically as user states change in MySQL.

Enrich AppsFlyer attribution records with transaction data from MySQL

Match AppsFlyer user IDs with order history, subscription status, and customer records in MySQL. Write enriched attribution data back to MySQL with actual revenue, retention metrics, and product usage. Build complete user profiles that combine acquisition source with post-install behavior.

Alert on ROAS anomalies by comparing AppsFlyer and MySQL revenue data

Pull campaign spend and attributed installs from AppsFlyer, match them with actual transaction revenue in MySQL, and calculate real-time ROAS. Detect discrepancies between attribution revenue and actual payments. Notify growth teams when campaign economics fall outside expected thresholds.

Generate daily UA performance reports combining AppsFlyer and MySQL data

Join AppsFlyer campaign metrics with MySQL customer data to build comprehensive acquisition dashboards. Calculate cohort retention, LTV curves, and payback periods across all channels. Automate reporting that would otherwise require manual SQL joins and CSV exports.

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 MySQL 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 AI understands both AppsFlyer's attribution schema and MySQL's relational structure, so you can connect mobile marketing data to your operational database without custom transformation code.

AI that understands attribution tables and MySQL schemas

Redbird automatically maps AppsFlyer event structures—install postbacks, in-app events, cohort reports, and aggregated metrics—to MySQL tables, columns, and foreign key relationships. The AI handles schema evolution as you add custom event parameters or modify table structures. It knows how to upsert attribution records, handle late-arriving data, and maintain referential integrity between install events and user records. No need to write transformation logic or maintain complex data pipelines.

AppsFlyer event mapping
MySQL schema detection
Automatic upserts & deduplication
Custom event parameter handling
10×

faster than building custom ETL to sync AppsFlyer attribution data into MySQL

No Python scripts, Airflow DAGs, or manual CSV imports required

Auto-generated reports

Redbird can pull from AppsFlyer and MySQL 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 MySQL.

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 MySQL, or from MySQL 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 MySQL database change, and take action in either system.

AppsFlyer
Triggers & Actions
Trigger

New install attributed

Trigger when AppsFlyer attributes a new app install to a campaign, ad network, or organic source.

Trigger

In-app event received

Trigger when a user completes a tracked in-app event like purchase, signup, or level completion.

Trigger

Daily cohort report generated

Trigger when AppsFlyer generates aggregated cohort retention or revenue reports for a date range.

Action

Create custom audience

Build or update a retargeting audience in AppsFlyer with user IDs from external data sources.

Action

Send postback event

Send a server-to-server event to AppsFlyer to attribute conversions that happen outside the app.

Action

Update user properties

Enrich AppsFlyer user profiles with additional attributes like subscription tier or LTV segment.

MySQL
Triggers & Actions
Trigger

New row inserted

Trigger when a new record is added to a specified MySQL table, like orders, subscriptions, or users.

Trigger

Record updated

Trigger when an existing MySQL row is modified, such as subscription status or user tier changes.

Trigger

Query threshold met

Trigger when a custom SQL query result crosses a defined threshold, like revenue per cohort or churn rate.

Action

Insert records

Write new rows to MySQL tables with data from AppsFlyer or other sources in your workflow.

Action

Update existing records

Modify MySQL rows based on attribution data, event parameters, or calculated metrics from AppsFlyer.

Action

Execute custom query

Run parameterized SQL statements to upsert, join, or aggregate data across multiple MySQL tables.

AppsFlyer
+
MySQL

Ready to connect your stack?

Stop manually exporting AppsFlyer reports and importing them into MySQL. Redbird AI keeps your attribution data and operational database in sync automatically, so your team can focus on analysis instead of data pipeline maintenance.

Get started → Book a demo