Stream Adobe Analytics behavioral data into Kafka topics in real time. Stop writing custom data feed parsers and maintaining fragile ETL scripts to get clickstream, conversion, and segment data into your event architecture.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically publish page views, custom events, and eVar data to Kafka topics as they're captured in Adobe Analytics. Power real-time dashboards, fraud detection systems, and personalization engines with fresh behavioral data without waiting for batch exports.
Push audience segment membership changes and user classifications from Adobe Analytics into Kafka topics. Enable event-driven marketing automation, real-time bidding adjustments, and cross-platform personalization based on behavioral segments.
Stream attribution model results, conversion events, and marketing channel touchpoints from Adobe Analytics to Kafka. Feed attribution data into data warehouses, BI tools, and ML models without manual data feed configuration.
Ingest server-side events, IoT sensor data, and backend transactions from Kafka topics directly into Adobe Analytics. Enrich web and app analytics with operational events that bypass traditional tag-based collection.
Monitor Adobe Analytics custom event counts, traffic patterns, and conversion rates in real time. Publish alerts to Kafka topics when thresholds are breached, feeding incident management systems and operations dashboards.
Stream unprocessed Adobe Analytics hit-level data into Kafka topics for compliance, auditing, and historical reprocessing. Maintain complete behavioral data history beyond Adobe's retention limits without expensive data feed storage.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Adobe Analytics and Kafka 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 understands Adobe Analytics schemas—eVars, props, custom events, segments—and Kafka topic structures, partitioning strategies, and serialization formats.
Redbird automatically maps Adobe Analytics hit data, product arrays, merchandising eVars, and hierarchical classifications to properly structured Kafka messages with your chosen serialization. The AI handles schema evolution when you add custom events or change variable configurations, updating topic schemas and consumer contracts without manual intervention. Whether you're streaming Avro, JSON, or Protobuf, Redbird ensures Adobe's nested behavioral data translates cleanly into event payloads.
faster than building custom data feed processors and Kafka producers
Redbird can pull from Adobe Analytics and Kafka 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 Adobe Analytics or Kafka.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Adobe Analytics into Kafka, or from Kafka back into Adobe Analytics. 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 workflows from any Adobe Analytics event or Kafka message, then automate data movement, enrichment, and activation across your entire stack.
Trigger when specific custom events fire with matching eVar or prop values.
Trigger when users enter or exit behavioral segments based on rule evaluation.
Trigger when Adobe Analytics generates new hourly or daily data feed files.
Upload classification values to enrich tracking codes, products, or custom dimensions.
Programmatically define calculated metrics based on events and formula logic.
Modify segment rules, containers, and criteria based on external data conditions.
Trigger when new messages arrive on specified Kafka topics with optional filtering.
Trigger when consumer group lag surpasses defined thresholds for monitoring.
Trigger when consumer group rebalancing occurs or partition assignments change.
Publish formatted messages to Kafka topics with headers, keys, and partitioning logic.
Provision new Kafka topics with specified partition counts, replication factors, and configuration.
Modify retention policies, compression settings, and other topic-level configurations.
Sync Adobe Analytics with Kafka and stream behavioral data into your real-time architecture. Connect your tools and let Redbird handle the event mapping, schema evolution, and data transformation.