Redbird AI syncs customer data warehouse insights directly into your customer success platform. Stop manually exporting SQL results, uploading CSVs, or building custom ETL pipelines to keep Totango health scores accurate and up-to-date.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push aggregated product analytics, feature adoption rates, and usage intensity from your data warehouse into Totango customer profiles. Keep health scores current with actual product behavior without manual exports or stale data.
Pull billing history, contract value, support ticket volume, and NPS scores from your centralized warehouse into Totango customer records. Give CS teams complete context without switching between dashboards or running manual queries.
Monitor engagement thresholds, login frequency drops, or feature abandonment in BigQuery and automatically launch targeted touchpoint campaigns in Totango. Turn warehouse-level insights into immediate CS interventions.
Stream Totango touchpoint engagement, success play completion rates, and campaign interactions into BigQuery for cross-system analytics. Connect CS activities to retention metrics, expansion revenue, and product adoption trends.
Run ML-powered churn prediction models in BigQuery and automatically update Totango health scores or assign high-touch plays when risk scores exceed thresholds. Act on predictive signals before customers disengage.
Merge warehouse-level usage trends with Totango engagement scores, task completion, and lifecycle stage data into automated executive reports. Surface retention risks and expansion opportunities with complete data context.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 BigQuery's nested table schemas and analytical patterns alongside Totango's health scoring models, account hierarchies, and success play logic.
Redbird automatically maps BigQuery query results—nested structs, repeated fields, aggregated metrics—to Totango's customer attributes, health dimensions, and custom fields. The platform interprets your warehouse naming conventions, recognizes event tables versus dimension tables, and knows which BigQuery columns align with Totango account IDs, user segments, and engagement scores. No manual schema mapping or transformation scripts required.
faster than building custom data pipelines between BigQuery and Totango
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into Totango, or from Totango back into BigQuery. 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 BigQuery query result or Totango customer lifecycle event, then take action across both platforms.
Fire when scheduled SQL queries return values above or below defined limits for usage, revenue, or engagement metrics.
Trigger workflows when new event records, transactions, or support tickets appear in monitored BigQuery tables.
Activate when BigQuery ML models update churn scores, propensity predictions, or customer segment classifications.
Execute SQL queries with dynamic filters, customer IDs, or date ranges based on upstream trigger data.
Write calculated customer health metrics, rollup statistics, or campaign results back into BigQuery tables.
Refresh BigQuery materialized views that power dashboards or downstream analytics after Totango data changes.
Fire when customer health scores cross thresholds, move between red/yellow/green zones, or shift unexpectedly.
Trigger when automated touchpoint campaigns finish, customers complete onboarding milestones, or renewal plays conclude.
Activate workflows when customers transition to onboarding, adoption, renewal, or expansion stages in Totango.
Push warehouse-derived metrics like usage intensity, feature adoption rates, or support history into Totango profiles.
Automatically launch targeted touchpoint campaigns based on BigQuery churn models, usage drops, or engagement patterns.
Adjust specific health dimensions using real-time product analytics, billing data, or ML predictions from BigQuery.
Stop building custom pipelines between your data warehouse and customer success platform. Redbird AI connects BigQuery and Totango so your CS team always works with complete, current customer data.