Redbird AI syncs customer event data from Segment into Looker dashboards and routes metric insights back to your customer data platform. Stop manually exporting CSVs, rebuilding cohorts, or waiting for engineers to connect behavioral data to your BI layer.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Track event collection health, identify tracking gaps, and monitor schema changes across your Segment sources. Redbird continuously syncs event metadata, property completeness rates, and source performance into custom Looker explores without manual exports or database queries.
Build complex behavioral cohorts using LookML metrics and Looker exploration, then automatically sync those user lists to Segment as audiences. Redbird watches for Look refreshes and updates Segment traits in real time, eliminating manual CSV uploads.
Add LTV scores, engagement indices, or custom business metrics computed in Looker directly to Segment user profiles. Redbird pulls calculated values from scheduled Looks and updates Segment traits, making warehouse-derived insights available across your entire tool stack.
Monitor event volume drops, property null rates, or tracking implementation issues using Looker's analytical layer. When threshold queries detect problems, Redbird captures the context and routes alerts with drill-down links back to engineering tools or Segment workspace.
Create executive dashboards showing which Segment sources feed which destinations, sync latency, and delivery success rates. Redbird pulls Segment configuration and health data into your warehouse structure, making it queryable through your existing LookML models.
Detect when Segment event patterns signal meaningful user actions, then trigger Looker queries to rebuild affected segments and distribute updated lists. Redbird orchestrates the full loop from event detection to metric recalculation to audience distribution without manual intervention.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and Segment 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 both Segment's event collection schema and Looker's semantic layer, automatically mapping customer behavioral data to your governed metric definitions.
Redbird parses Segment event properties, identifies user traits, and maps them to corresponding dimensions and measures in your Looker models. It understands how Segment sources connect to warehouse tables that Looker queries, resolving naming inconsistencies between event payloads and LookML field definitions. When you need to sync Looker-calculated segments back to Segment, Redbird handles user identifier matching, trait formatting, and API authentication without custom code.
faster than building custom ETL between Segment webhooks and Looker API
Redbird can pull from Looker and Segment 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 Looker or Segment.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Looker into Segment, or from Segment back into Looker. 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 scheduled Looks, dashboard refreshes, Segment event streams, or source configuration changes.
Trigger when a saved Look finishes its scheduled execution with updated query results.
Detect when a specific dashboard visualization exceeds or falls below a defined metric value.
Monitor when a saved exploration query identifies records that weren't present in previous runs.
Set Looker user attributes to control row-level security or customize dashboard views.
Trigger persistent derived table rebuilds to refresh aggregated data in LookML models.
Export query results from a specific Look to webhooks, storage, or downstream applications.
Detect when incoming event counts for a source fall outside expected ranges over a time window.
Trigger when a team member creates a new JavaScript, mobile, or server-side event source.
Watch for when a particular user property changes to a defined state across your customer profiles.
Write calculated attributes or segment membership flags to Segment profiles for downstream tool activation.
Programmatically define Segment Audiences based on behavioral logic or external system cohorts.
Enable or disable data flow from a Segment source to specific downstream destinations based on conditions.
Sync Looker and Segment in minutes. Redbird AI handles the schema mapping, identity resolution, and API complexity so your team can focus on analysis instead of integration maintenance.