Stop manually exporting session data and writing custom SQL to join behavioral metrics with your warehouse tables. Redbird AI syncs FullStory user interaction data into your dbt models and automates behavioral analytics transformations across your data stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
New session replay data, click events, and rage clicks flow from FullStory into your dbt staging layer as soon as they're captured. Redbird maintains fresh behavioral data tables without manual exports or API scripts.
When dbt models run, Redbird pulls corresponding FullStory session metrics—scroll depth, error encounters, conversion funnel progress—and appends them to customer dimension tables. Your analytics team gets behavioral context without writing custom integrations.
When dbt test failures indicate problematic user cohorts—duplicate orders, failed payments, invalid states—Redbird automatically creates FullStory segments so product teams can watch sessions and diagnose root causes immediately.
Transformed metrics from your dbt marts—cart abandonment rates, feature adoption scores, conversion funnel drop-offs—sync to FullStory as custom event properties. Product teams correlate UX issues with business impact without leaving FullStory.
Redbird captures complete FullStory event streams and writes them to your warehouse source layer, where dbt models transform them into analytics-ready fact tables. You own historical session data without FullStory retention limits.
When dbt models materialize updated revenue cohorts, Redbird fetches matching FullStory session metrics and generates combined datasets showing which UX patterns drive monetization. Analytics engineers skip manual data stitching across tools.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and FullStory 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 AI understands dbt's ref() dependencies and model lineage alongside FullStory's session schema and event taxonomy—so your behavioral data integrations respect your transformation logic.
Redbird parses your dbt project YAML, identifies fact and dimension tables that need behavioral enrichment, and maps FullStory event properties to the right model columns. It recognizes user_id joins, session timestamp logic, and metric aggregations. When FullStory schemas evolve or dbt models refactor, Redbird adapts syncs automatically without brittle field mappings breaking.
faster than building custom dbt packages to ingest FullStory data
Redbird can pull from dbt and FullStory 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 dbt or FullStory.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from dbt into FullStory, or from FullStory back into dbt. 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 automations from any dbt model run or FullStory session event—Redbird handles the orchestration between your transformation layer and behavioral analytics platform.
Fires when a specific dbt model finishes materializing in your warehouse.
Triggers when data quality tests identify anomalies or constraint violations.
Activates when upstream source tables haven't updated within expected windows.
Execute a targeted dbt model run without running the entire DAG.
Modify model descriptions, tags, or meta properties in your dbt project files.
Fetch rows from a materialized dbt model to use in downstream automation steps.
Fires when FullStory captures a new user session with interaction data.
Triggers when users repeatedly click elements that don't respond as expected.
Activates when specific instrumented events fire in your product—purchases, signups, feature usage.
Build a new FullStory segment based on behavioral criteria or warehouse cohort IDs.
Attach warehouse-derived attributes to FullStory events for richer product analytics.
Pull session replay details, event streams, or aggregated metrics from FullStory for warehouse loading.
Stop writing glue code between your dbt transformation layer and FullStory behavioral analytics. Redbird AI syncs session data, enriches models, and automates UX insights—so your data team ships analysis instead of pipelines.