Sync product analytics from PostHog into your Looker semantic layer automatically. Stop exporting CSVs, manually joining behavioral data with business metrics, or rebuilding dashboards when event schemas change.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pipe PostHog events, session properties, and feature flag exposure data into your Looker warehouse connection. Redbird maps PostHog's event schema to your LookML dimensions and measures, keeping product analytics in sync with centralized business definitions without manual ETL.
Sync user segments defined in Looker's semantic layer directly to PostHog as cohorts for A/B testing and feature rollouts. When your LookML-based high-value customer definition updates, Redbird automatically refreshes the corresponding PostHog cohort so product teams always target the right users.
Trigger PostHog annotations and user notifications when Looker scheduled queries identify unusual patterns in business metrics. Redbird connects your centralized metric definitions to product analytics context, so teams understand when dashboard changes correlate with feature releases or UX issues.
Automatically pull A/B test outcomes, feature flag rollout metrics, and conversion funnel results from PostHog into Looker explores and dashboards. Redbird ensures product experiment data follows the same semantic definitions as other business metrics, making cross-functional reporting seamless.
When Looker queries calculate customer lifetime value, subscription tier, or other warehouse-derived attributes, Redbird pushes those properties to PostHog user profiles. Product teams can then segment analytics and run experiments based on up-to-date business context without duplicating logic.
When PostHog captures session replays linked to conversion drops or error events, Redbird analyzes recordings and adds structured annotations to corresponding Looker dashboards. BI teams see qualitative UX insights alongside quantitative metrics without manually reviewing recordings.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and PostHog 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 LookML semantic models and PostHog's event-based schema, automatically mapping product analytics properties to centralized business definitions without custom pipelines.
Redbird parses your Looker explores, dimensions, and measures to understand how your organization defines metrics. It simultaneously reads PostHog's event properties, user attributes, and cohort definitions to intelligently map behavioral data into your semantic layer. When event schemas evolve or LookML models change, Redbird detects mismatches and suggests transformations—no manual field mapping or broken joins. The result is product analytics that automatically inherits your centralized metric governance.
faster than building custom ETL between PostHog and your Looker warehouse
Redbird can pull from Looker and PostHog 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 PostHog.
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 PostHog, or from PostHog 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 automation from any Looker query result or PostHog behavioral event, and take action across both platforms instantly.
Trigger workflows when Looker delivers a scheduled Look or dashboard, including query results and metadata.
Detect when a Looker Explore query returns row counts or metric values exceeding defined thresholds.
React when developers push changes to LookML models, views, or metric definitions in production.
Execute a Looker query and persist results to a specific table in your connected data warehouse.
Programmatically generate persistent derived tables based on external data or calculated fields.
Generate and distribute embedded Looker dashboard URLs with filtered context to specific teams or channels.
Start workflows when PostHog captures specific events like checkout completed or feature activated with custom properties.
Trigger when a user's behavior qualifies them for a PostHog cohort or when they no longer meet criteria.
Detect when experiment results achieve statistical significance or when a variant clearly wins or loses.
Enrich PostHog user profiles with calculated attributes, external IDs, or business context from other systems.
Programmatically assign users to PostHog cohorts for feature targeting or experiment segmentation.
Add timestamped annotations to PostHog charts documenting releases, incidents, or metric changes.
Sync Looker and PostHog in minutes. Redbird handles semantic mapping, schema changes, and bi-directional data flow so your BI and product analytics stay aligned without manual integration work.