Sync product usage analytics, revenue metrics, and engagement data from Looker directly into Totango health scores and customer profiles. Stop exporting CSVs, manually updating customer attributes, or rebuilding the same usage reports in multiple systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync feature adoption rates, login frequency, and usage depth metrics from your Looker data model into Totango's health score calculations. Redbird maps LookML dimensions to Totango attributes and keeps customer health profiles current with your warehouse data.
When customers move between usage tiers or engagement cohorts in your Looker analysis, automatically update their segment assignments in Totango to trigger appropriate success plays. No more weekly manual segment refreshes between systems.
Pull retention metrics, expansion pipeline, and health score distributions from Totango, enrich with ARR, usage economics, and cohort performance from Looker, then deliver consolidated executive reports. Redbird handles the joins across both platforms.
Monitor usage patterns in Looker and automatically create at-risk flags or trigger intervention plays in Totango when activity drops below thresholds. Surface data warehouse signals in CS workflows without custom ETL pipelines.
Write Totango health scores, success play completion status, and lifecycle stages back to your data warehouse for analysis in Looker. Enable revenue and product teams to segment analysis by CS health metrics without leaving their BI tool.
Flow CS interactions, success milestone completions, and program participation data from Totango into your warehouse for comprehensive journey mapping in Looker. Combine CS touch history with product usage and revenue data in unified customer analyses.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker 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 understands both LookML semantic models and Totango's customer success data structures, so you can automate the flow of metrics, attributes, and insights between your BI layer and CS operations.
Redbird reads your Looker data model—dimensions, measures, derived tables, and joins—and maps them intelligently to Totango's account attributes, health score inputs, and custom fields. The platform understands how to aggregate time-series usage data from your warehouse into point-in-time health metrics, join customer revenue data with engagement scores, and transform Looker Explore results into Totango bulk import formats. No need to write custom SQL, build middleware, or maintain field mapping spreadsheets.
faster than building custom scripts to export Looker queries and import to Totango
Redbird can pull from Looker 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 Looker 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 Looker into Totango, or from Totango 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 workflows from any event in Looker or Totango—from scheduled Look runs to health score changes.
Trigger when a scheduled Looker report finishes running with fresh data.
Monitor specific Looker Explores and trigger when metric values cross defined limits.
Detect when key dashboard metrics update with new warehouse data.
Execute Looker Explores with dynamic filters and retrieve structured results.
Pull data from saved Looks in CSV, JSON, or table format for downstream processing.
Dynamically modify parameters in your LookML model to adjust reporting logic.
Trigger workflows when account health moves between red, yellow, and green states.
Detect when automated CS programs finish or fail to progress through stages.
Monitor when customers transition between onboarding, adoption, renewal, or expansion phases.
Write usage metrics, revenue data, or engagement scores to Totango customer profiles.
Push specific metrics that feed into Totango's health calculations for accounts.
Programmatically move customers into targeted success plays based on external data.
Stop manually syncing usage data between your data warehouse and customer success platform. Connect Looker and Totango with Redbird to automate health scoring, segment updates, and CS analytics.