Automatically sync customer success metrics into your central data model. Stop manually exporting health scores, copying renewal data into spreadsheets, or building one-off reports. Let Redbird AI sync Gainsight customer data into Looker's semantic layer in real time.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push health score changes, risk flags, and engagement metrics from Gainsight into your Looker data warehouse. CS leadership gets live dashboards without waiting for manual exports or CSV uploads.
Stream renewal forecasts, expansion opportunities, and churn risk data directly into Looker. Finance and executive teams access real-time CS pipeline metrics alongside revenue data in a single dashboard.
Pull aggregated product adoption scores, feature usage trends, and user activity metrics from Looker's semantic layer back into Gainsight customer records. CS teams see complete health context without switching tools.
Trigger Gainsight CTAs and playbooks automatically when Looker queries identify sudden drops in login frequency, seat utilization, or feature engagement. Proactive outreach happens before customers churn.
Automatically capture QBR notes, executive summary data, and success plan progress from Gainsight into Looker-connected warehouse tables. Historical CS interactions become queryable alongside all business data.
Redbird queries both Gainsight health scores and Looker financial models to build unified CS performance summaries. Leadership gets NRR trends, health score distribution, and pipeline coverage in one automated report.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Gainsight 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 Gainsight's customer lifecycle objects and Looker's LookML semantic layer, so your CS metrics integrate seamlessly with your central data model.
Redbird automatically maps Gainsight customer objects, health score measures, and CTA fields to the correct dimensions and facts in your Looker explores. It understands how your LookML models define retention metrics, joins customer attributes across tables, and structures renewal pipeline data. When you sync CS data to Looker, Redbird preserves your semantic layer's metric definitions and ensures Gainsight fields land in the right warehouse tables for consistent reporting.
faster than building custom ETL pipelines to sync Gainsight data into your warehouse
Redbird can pull from Gainsight 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 Gainsight 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 Gainsight into Looker, or from Looker back into Gainsight. 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 customer success event in Gainsight or any data change in Looker's connected warehouse.
Trigger when a customer's health score drops below threshold or changes color.
Detect new renewal records or changes to renewal date, ARR, or likelihood.
Start workflows when calls-to-action are created, assigned to CSMs, or marked done.
Write new customer profiles or update existing records with enriched data.
Add events to customer timelines documenting usage trends or data insights.
Automatically launch Gainsight playbooks and outreach campaigns based on data signals.
Detect when scheduled Looker queries finish and new data is available.
Trigger when any Looker-defined metric exceeds or falls below specified values.
Monitor specific Looks or explores for changes in result sets or row counts.
Insert or update rows in Looker-connected BigQuery, Snowflake, or Redshift tables.
Modify derived table logic or parameter values that feed Looker explores.
Initiate Looker dashboard delivery or export on-demand based on external events.
See how Redbird AI syncs Gainsight customer success data with Looker's semantic layer in minutes. Stop building custom pipelines and start automating CS analytics.