Redbird AI syncs your data warehouse with your customer success platform automatically. Stop writing SQL queries to export customer metrics, manually updating health scores, or building custom pipelines to track product adoption in Totango.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push feature usage, login frequency, and engagement metrics from your data warehouse into Totango customer profiles. Keep health scores current without manual exports or custom ETL scripts. Surface adoption trends that trigger automated success plays.
Pull ARR, MRR, license counts, and payment history from your centralized analytics tables into Totango account records. Give CS teams complete financial context alongside engagement metrics. Identify expansion opportunities based on actual usage versus contracted seats.
Merge warehouse analytics with Totango health scores and touchpoint data into automated executive reports. Track how product behavior correlates with CS activities. Identify which features drive retention without manual dashboard builds.
Automatically capture which plays were executed, completion rates, and customer responses in your data warehouse. Build long-term analysis of CS program effectiveness. Join success activity data with product usage and renewal outcomes for deeper insights.
Monitor daily usage patterns in your warehouse and automatically create Totango tasks when thresholds are breached. Trigger outreach before customers churn based on behavioral signals. Route alerts to the right CSM based on account ownership in Totango.
When customers move between lifecycle stages or health tiers in Totango, automatically update segmentation tables in Redshift. Keep warehouse reporting aligned with your CS team's latest account categorization. Ensure BI dashboards reflect current customer status without manual updates.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Redshift and Totango 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 both Redshift table schemas and Totango's customer success data model, so you can connect warehouse analytics to health scoring without custom code.
Redbird maps your Redshift fact and dimension tables — usage events, subscription data, feature adoption metrics — to Totango's account hierarchy, health attributes, and custom fields. The platform handles data type conversions, account matching logic, and incremental syncs automatically. Whether you're pushing aggregated usage stats or raw event streams, Redbird understands how to structure data for Totango's scoring engine and success play triggers.
faster than building custom Redshift-to-Totango data pipelines
Redbird can pull from Redshift and Totango 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 Redshift or Totango.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Redshift into Totango, or from Totango back into Redshift. 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 query result in Redshift or customer event in Totango, then execute actions across your entire stack.
Fire when a scheduled analytical query identifies new customers, usage patterns, or threshold breaches.
Detect when event tables grow beyond expected volumes or usage data stops flowing.
Trigger when calculated metrics like daily active users or feature adoption rates hit defined levels.
Execute custom SQL with dynamic parameters from upstream trigger data to extract specific customer cohorts.
Write customer segmentation, health tier, or enrichment data back into Redshift reference tables.
Store automation outcomes, API responses, and processed metrics into Redshift for historical analysis.
Fire when customer health moves between tiers or drops below defined thresholds.
Trigger when automated touchpoints finish, whether completed successfully or skipped by the customer.
Detect when customers move to onboarding, adoption, renewal, or at-risk stages in their journey.
Write calculated metrics, usage scores, or data warehouse insights into Totango custom fields.
Generate action items for the account owner when warehouse data signals intervention is needed.
Programmatically move customers into targeted segments based on behavioral data from Redshift.
Redbird AI connects Redshift and Totango in minutes, not weeks. Stop building custom data pipelines and start automating customer success workflows powered by your warehouse.