Connect Braze and
Kafka with AI

Automate the flow of customer engagement events, campaign data, and behavioral signals between Braze and Kafka. Stop manually exporting campaign metrics, writing custom event producers, or building one-off data pipelines to sync marketing activity with your real-time data infrastructure.

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 Braze campaign send and engagement events to Kafka topics in real-time

Automatically publish email opens, push clicks, in-app impressions, and SMS deliveries to Kafka as they happen. Route engagement events to downstream analytics systems, data warehouses, and machine learning pipelines without custom integrations or batch exports.

Trigger Braze Canvas journeys from Kafka event streams for real-time personalization

Listen to product events, transaction streams, or user behavior signals in Kafka and trigger personalized Braze campaigns instantly. Launch re-engagement flows when users hit payment milestones, abandon carts, or complete key actions captured in your event infrastructure.

Archive Braze user profile updates and segment changes to Kafka for compliance

Capture every profile attribute change, consent update, and segment membership modification as immutable events in Kafka. Maintain a complete audit trail of customer data changes for GDPR compliance, data governance, and historical analysis.

Sync real-time clickstream and behavioral data from Kafka into Braze user profiles

Enrich Braze profiles with behavioral signals streaming through Kafka—page views, feature usage, session data, and product interactions. Keep segmentation criteria current without batch jobs, enabling marketers to target based on the freshest user activity.

Build campaign performance dashboards by joining Braze events with downstream Kafka consumers

Merge Braze campaign metadata, send volumes, and engagement metrics with conversion events, revenue data, and product analytics flowing through Kafka. Generate unified marketing attribution reports that connect messaging activity to business outcomes across your data ecosystem.

Update Braze custom attributes from ML model predictions published to Kafka topics

Push churn scores, lifetime value predictions, and propensity models from your data science pipelines into Braze via Kafka. Enable marketers to segment and personalize campaigns based on real-time model outputs without direct database access or API complexity.

Live in four steps

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

01

Connect your accounts

Authorize Braze 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 understands Braze's event schemas, Canvas triggers, and user attributes alongside Kafka's topic structures, partition strategies, and serialization formats—no manual mapping required.

AI that speaks both marketing automation and event streaming

Redbird's AI automatically maps Braze event payloads—campaign IDs, variant names, Canvas step metadata, device tokens—to Kafka message schemas with proper serialization. It understands when to batch user attribute updates versus stream individual engagement events, handles Braze's rate limits when consuming from high-throughput Kafka topics, and preserves event ordering for stateful downstream processing. The platform intelligently routes different event types to appropriate Kafka topics while maintaining the referential integrity between campaigns, canvases, and user profiles.

Braze event schemas to Avro/JSON
Canvas trigger mapping
User profile change streams
Multi-topic routing logic
10×

faster than building custom Kafka producers and Braze API consumers

No need to write serialization code, manage offset tracking, handle API rate limits, or build retry logic for failed message deliveries

Auto-generated reports

Redbird can pull from Braze 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 Braze 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 Braze into Kafka, or from Kafka back into Braze. 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 from any campaign event in Braze or any message in Kafka—Redbird handles the routing, transformation, and delivery.

Braze
Triggers & Actions
Trigger

Campaign message sent

Fires when Braze sends an email, push notification, SMS, or in-app message to a user.

Trigger

User enters or exits Canvas step

Triggers when a user progresses through a Canvas journey or exits at a specific decision point.

Trigger

User profile attribute updated

Fires when custom attributes, email address, subscription status, or other profile fields change.

Action

Send custom event to user profile

Log behavioral events or milestones to a user's Braze profile to trigger campaigns or update segments.

Action

Update user attributes

Modify custom attributes, add to segments, or update subscription preferences on existing Braze profiles.

Action

Trigger Canvas entry for user

Immediately enroll a user into a specific Canvas journey based on external events or conditions.

Kafka
Triggers & Actions
Trigger

New message in topic

Fires when a new event is published to a specified Kafka topic or topic pattern.

Trigger

Message matches filter criteria

Triggers when incoming Kafka messages meet specific field values, patterns, or conditional logic.

Trigger

Consumer lag threshold exceeded

Fires when a consumer group falls behind by a specified number of messages or time duration.

Action

Publish message to topic

Write events to a Kafka topic with proper serialization, partitioning, and delivery guarantees.

Action

Create or update topic

Provision new Kafka topics or modify configuration settings like retention, partitions, or replication factor.

Action

Commit consumer offset

Manually advance consumer group position after successful processing of message batches.

Braze
+
Kafka

Ready to connect your stack?

Stop building custom event pipelines between Braze and Kafka. Let Redbird's AI handle the streaming, transformation, and orchestration so your team can focus on driving engagement and building data products.

Get started → Book a demo