Automatically sync FullStory session and behavioral data into BigQuery for deep analysis. Stop manually exporting CSVs, writing one-off ETL scripts, or waiting on engineers to join user behavior data with your warehouse tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every FullStory session event, user interaction, and custom event into BigQuery tables as they happen. Join behavioral data with transaction records, support tickets, and product usage to build complete customer journeys without manual exports.
Pull CLV scores, cohort assignments, and purchase history from BigQuery into FullStory user profiles. Segment session replays by revenue tier, analyze high-value user behavior patterns, and prioritize UX fixes based on customer value.
When FullStory detects rage clicks or error clicks, automatically query BigQuery for associated conversion rates and revenue impact. Build weekly reports showing which UX issues cost the most, ranked by business impact rather than just frequency.
After running churn prediction or propensity models in BigQuery, automatically tag FullStory users with their risk scores. Filter session replays to watch only high-churn-risk users and understand what friction they're experiencing before they leave.
Continuously analyze combined FullStory event data and BigQuery conversion tables to detect statistically significant drop-offs. Automatically notify Slack channels with session replay links when new friction points appear in checkout, signup, or key workflows.
Automatically export complete FullStory session payloads, custom events, and user properties to BigQuery on a schedule. Maintain historical behavioral records beyond FullStory retention limits and ensure audit trail compliance for regulated industries.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 natively understands both BigQuery's table schemas and FullStory's event structure, so you can query, transform, and sync behavioral data without writing integration code.
Redbird automatically maps FullStory session events, custom properties, and user segments to BigQuery tables with proper typing and partitioning. It understands how to denormalize nested event payloads, handle FullStory's timestamp formats, and join session data with your existing warehouse dimensions. Ask in plain English to transform rage click events into dashboard-ready tables or enrich user records with cohort data — no custom ETL scripts required.
faster than building custom FullStory-to-BigQuery pipelines with Cloud Functions
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into FullStory, or from FullStory back into BigQuery. 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 from any BigQuery query result or FullStory session event, then automate the data work across both systems.
Trigger when a scheduled BigQuery query identifies new records matching your criteria.
Detect when specific BigQuery tables receive new data or updates from upstream pipelines.
Fire when BigQuery ML predictions exceed defined scores for churn, propensity, or custom models.
Write transformed FullStory event data directly into BigQuery tables with proper schema mapping.
Run BigQuery SQL with dynamic parameters from FullStory events to join or aggregate data.
Automatically refresh BigQuery table partitions after loading new FullStory session batches.
Trigger when FullStory identifies sessions containing rage clicks, error clicks, or frustration signals.
Detect when specific FullStory custom events occur, like checkout abandonment or feature activation.
Fire when users enter or exit defined FullStory segments based on behavioral criteria.
Enrich FullStory user profiles with CLV, cohort, or prediction scores from BigQuery tables.
Programmatically assign users to FullStory segments based on BigQuery analysis results.
Automatically label FullStory sessions with business context from BigQuery like order value or account tier.
Stop stitching together FullStory exports and BigQuery tables manually. Let Redbird AI sync behavioral data to your warehouse and enrich sessions with customer intelligence automatically.