Sync sales conversation intelligence directly into your data warehouse. Stop exporting CSVs, writing brittle ETL scripts, or waiting on engineering to surface deal signals in your analytics stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically stream completed Gong calls, transcripts, and metadata into Redshift tables. Build a permanent archive of every customer conversation with structured fields for speaker, duration, sentiment, and custom trackers. Power long-term trend analysis across quarters and product launches.
Push Gong deal health scores, talk ratios, and engagement metrics into Redshift alongside CRM data. Join conversation intelligence with pipeline stages, rep performance, and closed-won outcomes. Surface which talk patterns correlate with successful deals in your BI layer.
Extract all competitor references, pricing objections, and feature requests from Gong calls into structured Redshift tables. Aggregate mentions by product line, region, and deal size. Enable product and marketing teams to query real buyer feedback at scale without manual tagging.
Automatically sync Gong coaching insights, call scores, and rep activity metrics into Redshift every night. Combine conversation quality data with quota attainment and ramp timelines. Build executive dashboards that connect coaching frequency to revenue outcomes.
Query Redshift for accounts with declining call frequency or negative sentiment trends pulled from Gong. Automatically flag at-risk renewals or stalled enterprise deals based on conversation volume and buyer tone. Route alerts to account owners before deals go dark.
Push firmographic data, product usage scores, and customer health metrics from Redshift back into Gong as custom fields. Enable sales reps to see ARR, expansion potential, and churn risk directly in call recordings. Connect data warehouse intelligence to frontline conversations.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Gong and Redshift 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 Gong's conversation graph and Redshift's columnar schemas—no manual mapping of call objects, trackers, or nested participant arrays required.
Redbird automatically maps Gong's call recordings, transcripts, and tracker events to optimized Redshift table structures. It handles nested JSON from participant metadata, flattens multi-speaker conversations into queryable rows, and maintains referential integrity across calls, deals, and users. The AI understands Gong's custom tracker taxonomy and creates dimension tables that make conversation insights joinable with your existing revenue data models.
faster than building custom Gong API scripts and Redshift COPY jobs
Redbird can pull from Gong and Redshift 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 Gong or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Gong into Redshift, or from Redshift back into Gong. 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 sales conversation event in Gong or analytical query result in Redshift—then take action across both systems.
Fires when a new sales call, demo, or meeting is completed and the transcript is available in Gong.
Triggers when Gong's AI flags a deal as unhealthy based on conversation signals or engagement drops.
Fires when a configured tracker keyword—like a competitor name or pricing objection—appears in a call.
Write enrichment data back to Gong call records, such as account tier or product usage scores.
Automatically tag and organize calls into coaching playlists based on topic, outcome, or quality score.
Post automated feedback or context to specific call moments for manager review and rep development.
Fires when a scheduled Redshift query identifies accounts meeting at-risk criteria based on conversation or usage trends.
Triggers when variance between Gong-based forecast and actual pipeline in Redshift crosses a configured limit.
Fires when fresh call data lands in your Redshift conversation intelligence tables from the latest sync.
Write Gong conversation data into your Redshift sales analytics schema with proper dimension keys and timestamps.
Refresh summary tables for rep performance, deal velocity, or conversation quality based on new Gong data.
Move older Gong conversation data into long-term Redshift storage with optimized compression and partitioning.
Start syncing Gong conversation intelligence into Redshift in minutes. Build the revenue analytics pipeline your data team has been waiting for—no engineering backlog required.