Connect AppsFlyer and
Kafka with AI

Stream mobile attribution data, in-app events, and campaign metrics from AppsFlyer into Kafka topics in real time. Stop writing custom ETL scripts and maintaining fragile data pipelines—Redbird AI understands your attribution schemas and automates the entire flow.

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.

Stream install and in-app events to Kafka topics for real-time processing

Publish every AppsFlyer install, event, and postback to dedicated Kafka topics as they occur. Enable downstream consumers to react to attribution data in real time for personalization, fraud detection, or analytics. Redbird handles schema evolution and partitioning logic automatically.

Build real-time ROAS dashboards from AppsFlyer campaign performance streams

Pipe campaign-level metrics, cost data, and conversion events into Kafka for consumption by streaming analytics platforms. Create live dashboards that update as attribution data flows in. No batch delays or stale snapshots—just continuous streams of marketing performance.

Archive AppsFlyer raw attribution logs to Kafka for compliance and reprocessing

Stream complete attribution payloads, including device IDs, timestamps, and metadata, into long-retention Kafka topics. Maintain an immutable audit trail for compliance, enable historical reprocessing, and support attribution model changes without re-requesting data from AppsFlyer.

Trigger AppsFlyer audience updates from Kafka event streams

Consume behavioral signals, purchase events, or engagement scores from Kafka and push them to AppsFlyer as custom in-app events. Build retargeting audiences based on data from across your stack, all orchestrated through Kafka's event-driven architecture.

Enrich AppsFlyer postbacks with product catalog data from Kafka streams

Join attribution events with product metadata, inventory levels, or pricing data flowing through Kafka. Enrich conversion events before they're written to your warehouse or sent to downstream systems. Redbird handles stream joins and temporal alignment automatically.

Alert on attribution anomalies by monitoring AppsFlyer streams in Kafka

Analyze install velocity, conversion rate changes, and fraud score patterns in real time as data flows through Kafka. Trigger alerts when campaigns underperform, fraud spikes occur, or attribution gaps appear. Catch issues before they impact spend or revenue.

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 Kafka 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 AppsFlyer's attribution schemas and Kafka's topic structures, so you can connect mobile marketing data to event streams without writing code or managing schemas.

AI that understands attribution data and event streaming patterns

Redbird automatically maps AppsFlyer's install events, in-app event parameters, and aggregated reports to Kafka topic schemas. It handles nested attribution payloads, dynamic event properties, and changing campaign structures without manual intervention. The AI recognizes when to partition by app ID, campaign, or geo—and adapts serialization formats (JSON, Avro, Protobuf) based on your downstream consumers. Schema evolution is managed automatically as your attribution model evolves.

Install & event payload mapping
Auto-partitioning by campaign or geo
Schema registry integration
Nested property flattening
10×

faster than building custom AppsFlyer-to-Kafka connectors with SDKs and stream processors

No Kafka Connect plugins, custom serializers, or manual schema management required

Auto-generated reports

Redbird can pull from AppsFlyer and Kafka 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 Kafka.

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 Kafka, or from Kafka 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 Kafka message, and take action across both platforms instantly.

AppsFlyer
Triggers & Actions
Trigger

New install attributed

Fires when AppsFlyer attributes a new app install to a specific campaign, channel, or organic source.

Trigger

In-app event received

Triggers when a user completes an in-app action like purchase, registration, or level completion.

Trigger

Fraud detection alert issued

Activates when AppsFlyer's Protect360 flags suspicious install activity or click injection attempts.

Action

Send custom in-app event

Push custom events back to AppsFlyer to trigger audience updates or attribution postbacks.

Action

Update user attributes

Enrich user profiles in AppsFlyer with external data like LTV predictions or segment assignments.

Action

Refresh cohort membership

Add or remove users from AppsFlyer audiences based on real-time behavioral signals or model outputs.

Kafka
Triggers & Actions
Trigger

New message on topic

Fires when a new event lands on a specific Kafka topic, with optional filtering by partition or key.

Trigger

Consumer lag threshold exceeded

Triggers when a consumer group falls behind by a specified number of messages or time window.

Trigger

Topic partition rebalance

Activates when Kafka reassigns partitions across consumer group members due to scaling or failures.

Action

Publish message to topic

Write records to a Kafka topic with configurable partitioning, serialization, and delivery guarantees.

Action

Create or update topic

Provision new Kafka topics or modify retention, partition count, and replication settings programmatically.

Action

Reset consumer group offset

Rewind or fast-forward a consumer group to replay messages or skip past problematic records.

AppsFlyer
+
Kafka

Ready to connect your stack?

Stop maintaining custom AppsFlyer connectors and Kafka producers. Redbird AI streams your mobile attribution data into event pipelines automatically, so your team can focus on building real-time experiences instead of debugging ETL code.

Get started → Book a demo