Automate support analytics and customer data sync between your data warehouse and support platform. Stop manually exporting tickets to CSV, writing one-off SQL scripts for support metrics, or waiting on data teams to build dashboards your support leaders actually need.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically load tickets, comments, satisfaction ratings, and agent activity into BigQuery as events occur. Keep your data warehouse current without batch exports or ETL pipelines. Join support data with product usage, revenue, and customer attributes for complete visibility.
Pull customer lifetime value, product usage patterns, and churn predictions from your data warehouse into Zendesk ticket fields. Enable support agents to prioritize high-value customers and spot at-risk accounts during interactions. Surface the right context without leaving the ticketing interface.
Query BigQuery for CSAT trends, resolution times, ticket volume by category, and agent performance metrics. Automatically format results and update Zendesk internal notes or send summary emails to support leadership. Replace manual report assembly with scheduled AI-driven insights.
Monitor ticket resolution data in BigQuery and identify agents or categories trending toward SLA violations. Create Zendesk tickets assigned to team leads or trigger automated escalations before targets are missed. Turn warehouse analytics into proactive support management.
Automatically move resolved tickets older than your retention policy into BigQuery tables with full message history and metadata. Reduce Zendesk storage costs while maintaining queryable archives for compliance and trend analysis. Keep production systems lean without losing historical context.
Run ML models or SQL-based scoring in BigQuery to calculate support tier, contract value, or engagement scores. Push updated values directly to Zendesk organization custom fields so agents see current account status. Keep customer context synchronized as your data models evolve.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Zendesk 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 BigQuery table structures and Zendesk's ticket, user, and organization schemas—so you can move data and trigger actions without writing glue code or managing API credentials.
Redbird maps BigQuery column types, nested fields, and partitioned tables to Zendesk ticket fields, custom attributes, and organization properties automatically. Ask in plain language to join ticket data with customer tables, calculate support metrics across time windows, or push warehouse insights into agent-facing fields. The AI handles SQL generation, API pagination, field mapping, and incremental sync logic—whether you're working with denormalized event streams or normalized dimension tables.
faster than building support data pipelines with dbt, Fivetran, and custom scripts
Redbird can pull from BigQuery and Zendesk 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 Zendesk.
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 Zendesk, or from Zendesk 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 event in BigQuery or Zendesk—from new query results to ticket status changes—and take action across both platforms.
Fire workflows when a BigQuery scheduled query finishes running, using results to update support tools or trigger notifications.
Detect when data arrives in a BigQuery table or view, enabling real-time sync from warehouse analytics to support systems.
Monitor BigQuery query outputs for values exceeding defined limits, like spike in ticket volume by product area.
Execute a BigQuery query with dynamic parameters from Zendesk ticket fields or organization attributes.
Write Zendesk ticket events, comments, or satisfaction ratings directly into BigQuery tables as structured records.
Refresh BigQuery materialized views after Zendesk data lands, keeping dashboards and downstream models current.
Start workflows when a support ticket is opened, triggering lookups in BigQuery for customer context or account data.
Detect when tickets move between pending, open, solved, or closed states to sync resolution data back to the warehouse.
Capture customer satisfaction scores as they're collected, streaming feedback data to BigQuery for trend analysis.
Write values from BigQuery queries into Zendesk ticket fields, like customer LTV, usage tier, or churn probability.
Append BigQuery query results or alert summaries as internal comments visible only to support agents.
Sync account-level scores, segments, or attributes from BigQuery models to Zendesk organization custom fields.
See how Redbird AI connects BigQuery and Zendesk in minutes—no pipeline engineering, SQL boilerplate, or API wrangling required. Start automating support analytics and customer data sync today.