Redbird AI syncs FullStory session data and behavioral events directly into Looker's semantic layer. Stop exporting CSVs, writing one-off extraction scripts, or waiting on engineering to pipe user experience metrics into your data warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Stream rage clicks, error events, and conversion funnel data from FullStory into your Looker explores as they happen. Build executive UX health dashboards that refresh with live behavioral signals without manual exports or ETL pipelines.
When a Looker query identifies high-value users who churned or dropped off in checkout, automatically append their FullStory session replay links. Product and analytics teams can watch actual user behavior for any segment without switching tools or searching session IDs.
Set thresholds in Looker for rage click rates, error frequency, or dead click counts. When FullStory data crosses those thresholds, trigger notifications to Slack or issue trackers with session examples and impacted user counts.
Automatically export FullStory's event stream—clicks, page views, custom events—into your cloud data warehouse tables. Define FullStory metrics once in LookML and ensure product, marketing, and support teams all report on UX data with consistent definitions.
When a Looker analysis identifies problematic user cohorts—users who saw errors, users with low engagement, high-value prospects—push those user lists into FullStory as saved segments. UX researchers can instantly watch sessions for data-warehouse-defined audiences.
Join FullStory scroll depth, attention maps, and navigation patterns with revenue, retention, and conversion data from your warehouse. Build unified reports that quantify exactly how UX friction affects business outcomes, all in Looker's governed semantic layer.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize FullStory and Looker 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 FullStory's event schemas and session metadata structures, plus Looker's LookML semantic layer and data warehouse connection patterns.
Redbird automatically recognizes FullStory's session replay metadata, custom event properties, user attributes, and behavioral signals like rage clicks and error events. It maps these to your Looker dimensions and measures, handles nested event properties, and structures data for LookML exploration. No custom API code to parse FullStory's event payloads or manual schema translation between systems.
faster than building custom FullStory-to-warehouse pipelines
Redbird can pull from FullStory and Looker 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 FullStory or Looker.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from FullStory into Looker, or from Looker back into FullStory. 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 FullStory session event or Looker query result—Redbird handles the rest.
Fires when FullStory captures repeated frustrated clicks on the same element within a session.
Triggers when a JavaScript error, network failure, or custom error event appears in a user session.
Activates when a user enters but doesn't complete a defined funnel like checkout or signup.
Add users matching specific criteria to a saved FullStory segment for targeted session review.
Extract FullStory session events, custom properties, and metadata to external systems or warehouses.
Apply custom tags or attributes to FullStory sessions based on external data or workflow triggers.
Fires when a Looker scheduled report or dashboard completes its refresh cycle.
Triggers when a Looker query returns values exceeding or falling below defined alert thresholds.
Activates when a user saves a new Explore query or modifies an existing saved Look.
Execute a Looker query programmatically and retrieve formatted results for downstream workflows.
Commit changes to dimensions, measures, or models in a Looker LookML Git repository.
Programmatically add new visualizations or query tiles to existing Looker dashboards.
Sync FullStory behavioral data with Looker's semantic layer in minutes. Stop building custom pipelines and start analyzing user experience alongside your business metrics.