Stop manually exporting call transcripts and building one-off reports to analyze sales conversations. Redbird AI syncs Gong interaction data into BigQuery and surfaces revenue insights across your data warehouse—automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream call recordings, transcripts, and participant data from Gong into structured BigQuery tables. Keep a complete warehouse record of every sales interaction for long-term analysis and compliance. Join conversation data with CRM, support, and product usage metrics.
Pull conversation intelligence metrics from Gong—talk ratio, competitor mentions, next steps tracking—and append them to customer dimension tables in BigQuery. Surface deal health indicators alongside pipeline and revenue data. Enable cross-functional teams to query sales interaction quality without logging into Gong.
Query BigQuery for opportunity stage changes, then pull corresponding Gong call sentiment and engagement scores to build comprehensive pipeline reports. Automatically calculate correlation between conversation quality and close rates. Distribute insights to revenue leadership without manual data wrangling.
Run BigQuery ML models on historical win/loss patterns, then cross-reference with Gong engagement data to identify at-risk deals with insufficient sales activity. Trigger alerts when high-value opportunities show conversation velocity drops. Route notifications to account executives and managers based on territory assignment.
Stream Gong recordings metadata, participant lists, and transcripts to BigQuery for multi-year retention policies that exceed Gong's storage limits. Maintain queryable archives of customer interactions for regulatory compliance. Structure data for efficient cold storage and audit trail requirements.
Combine quota attainment and activity metrics from your BigQuery data warehouse with Gong coaching insights like monologue time, filler word usage, and discovery question frequency. Build automated rep scorecards that blend outcomes with conversation quality. Surface coaching opportunities based on data patterns across both systems.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Gong 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 schemas and Gong's conversation data model—mapping call objects, trackers, and interaction metadata to your warehouse tables without transformation scripts.
Redbird maps Gong's nested call objects—recordings, transcripts, participants, tracked keywords, and custom trackers—to BigQuery's columnar format automatically. The AI handles schema evolution when Gong adds trackers or custom fields, updating warehouse tables without pipeline breaks. It understands which Gong metrics are aggregates versus raw events, structuring dimension and fact tables appropriately for analytics workloads.
faster than building BigQuery ETL jobs for Gong API endpoints
Redbird can pull from BigQuery and Gong 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 Gong.
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 Gong, or from Gong 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 BigQuery query results or Gong conversation events—then take action in either system based on your data logic.
Fire when a BigQuery scheduled query finishes running, passing result rows to downstream workflows.
Detect when data lands in a specific BigQuery table or partition, triggering analysis or sync actions.
Trigger when a BigQuery ML model scores a record above or below a defined confidence threshold.
Run a BigQuery SQL statement with dynamic parameters from workflow data, returning results for next steps.
Write structured data from Gong or other sources directly into BigQuery tables with schema validation.
Modify BigQuery table descriptions, labels, or tags based on workflow conditions or data lineage.
Fire when Gong completes transcription of a new sales call, passing transcript and metadata to workflows.
Trigger when a custom tracker detects specific keywords, competitor names, or objection phrases in a conversation.
Detect when a CRM opportunity associated with Gong calls moves to a new pipeline stage.
Organize calls into Gong playlists based on BigQuery analysis results or data-driven criteria.
Write custom fields or tags to Gong calls based on insights derived from BigQuery analytics.
Flag specific call moments for manager review when BigQuery models identify coaching opportunities.
Sync Gong conversation data into BigQuery and automate revenue analytics across your warehouse. Stop building custom ETL pipelines for sales intelligence data.