Sync customer success data from Gainsight directly into Redshift for deep analytics. Stop exporting CSVs, wrestling with API calls, or manually updating warehouse tables. Redbird AI keeps your customer health, renewal, and product usage data flowing automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pipeline health score snapshots, risk flags, and sentiment data from Gainsight into Redshift tables. Track trends over time, correlate health metrics with product usage or support tickets, and build predictive models on historical CS data.
Stream renewal dates, opportunity stages, forecasted ARR, and expansion plays from Gainsight into your data warehouse. Join with finance and sales data to build unified revenue models and executive dashboards that combine CS, sales, and billing metrics.
Capture every QBR summary, executive business review outcome, success plan milestone, and timeline entry from Gainsight into Redshift. Create a queryable archive of customer interactions, measure CS activity patterns, and surface insights from unstructured notes using AI.
Pull usage patterns, feature adoption scores, and billing history stored in Redshift back into Gainsight custom fields. Give CSMs complete context on product engagement and revenue trends without switching tools, enabling smarter playbooks and proactive outreach.
Consolidate time-series data on customer health changes, playbook execution, and CSM activity from Gainsight into Redshift. Power BI tools with clean, warehouse-ready datasets that reveal which CS motions actually drive retention and which accounts need attention.
Monitor usage drops, billing irregularities, or support spike patterns in Redshift, then automatically create calls-to-action or launch success plays in Gainsight. Close the loop between your analytical models and customer success execution without manual handoffs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Gainsight and Redshift 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 success data model and Redshift's columnar schema architecture, so you can connect customer health metrics to your warehouse without custom ETL.
Redbird maps Gainsight objects—Companies, Relationships, Scorecards, CTAs, Success Plans, Timeline entries—to Redshift tables with proper data types and partitioning strategies. It handles nested attributes from custom fields, manages slowly changing dimensions for health score history, and optimizes sort keys for common CS analytics queries. You get warehouse-ready customer success data without writing transformation code or managing incremental sync logic.
faster than building custom Gainsight-to-Redshift ETL pipelines
Redbird can pull from Gainsight and Redshift 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 Redshift.
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 Redshift, or from Redshift 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 from any customer success event in Gainsight or analytical insight in Redshift—Redbird handles the rest.
Fire when an account's overall or measure-specific health score increases, decreases, or crosses a threshold.
Trigger when renewal stage changes, forecasted amount updates, or renewal date shifts in the pipeline.
Detect when a new call-to-action is generated for an account or when a CSM marks one complete.
Write calculated metrics, segment flags, or enrichment data back into Gainsight company or relationship custom fields.
Log events, insights, or automated actions as timestamped entries on a customer's activity timeline.
Launch a playbook sequence or generate a call-to-action for a CSM based on data-driven conditions.
Fire when new records appear in a specified Redshift table, such as product events or aggregated metrics.
Trigger when a scheduled SQL query returns results above or below a defined value, like usage drop detection.
Run on a time-based schedule to check for updated analytical outputs or materialized view refreshes.
Write new records or update existing rows in Redshift tables using primary keys and merge logic.
Run analytical queries, create summary tables, or trigger stored procedures directly in Redshift.
Append timestamped snapshots of Gainsight data into historical tables for trend analysis and reporting.
Sync Gainsight and Redshift in minutes. Give your customer success and analytics teams a single source of truth without building custom pipelines or managing API integrations.