Data Panda brings your Gong revenue-intelligence data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Gong is a revenue-intelligence platform for B2B sales, customer-success and GTM teams. It records and transcribes sales calls across Zoom, Teams and phone, scores deal health, tracks talk-listen ratios and, more recently, runs AI coaching on the full conversation history. Its target is the team that has outgrown pipeline hygiene and wants to understand what is said on a call against what happens to the deal afterwards.
The point of pulling Gong into a warehouse is that the insight lives in the overlap with CRM, product and billing. A specific objection clustered across twenty lost deals points at a pricing or positioning problem, but only if it sits next to the deals that were lost. Rep activity mix tied to close outcome says which coaching moves revenue, not which rep makes the most noise. In a warehouse, Gong signal stops living in its own tab and starts informing the quarterly review.
Objections, talk patterns and deal health next to CRM stage and paid revenue.
Let a Gong signal fire the rest of the stack.
Turn call transcripts into scoring that the team can defend.
Internal tools on Gong data for sales leadership and RevOps.
A list of concrete reports, automations and AI features we have built on Gong data. Pick the one that matches your situation.
Which objection is quietly killing deals this quarter?
Gong objection clusters matched to deal outcome in the CRM, ranked by ACV lost. Shows the objection that sits behind most losses in a segment, next to the revenue those deals would have brought in.
Which rep habit correlates with lost deals?
Rep-level talk-listen ratio, discovery-quality score and activity mix matched to close outcome. Separates the reps who are lucky from the reps who consistently do the thing that closes, with quote-level evidence.
Is pricing a frequent blocker, and when does it become fatal?
Pricing mentions and negotiation arcs across won and lost deals, ranked by stage. Identifies the segment where pricing kills a deal that was otherwise on track, so product and finance see the pattern before the quarter ends.
Win-loss patterns and pricing-objection frequency tied to booked revenue. Pipeline reviews stop arguing about forecast optimism and start reviewing the conversations behind the number.
Rep activity mix, discovery quality and objection handling scored against close outcome. Coaching moves from anecdote to the specific behaviour that closes similar deals.
Deal-health change, competitor-mention mix and theme clusters on one board. Sales-ops decisions happen on the conversation data the product just created, not on a Monday email thread.
Gong call summaries, risk words and deal-health changes push onto the matching Salesforce opportunity as fields and timeline events. Forecast reviews walk in with the specific conversations that changed each deal's trajectory.
Gong transcripts, objections and coaching signals land on the HubSpot deal and contact. Reps stop logging calls in two places and leadership reviews deals with the real conversation context.
Gong deal-health and objection tags surface on the Pipedrive deal card, plus activity-mix per rep on the performance view. SMB sales teams get revenue-intelligence depth without an enterprise CRM.
Gong conversation data joins Mixpanel product-usage data for the same account. Deal health becomes 'they asked about feature X on the call and then used it in week two', which is the signal worth forecasting on.
These are the 4 tables we currently pull from Gong into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Gong data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Both are available. Metadata (call ids, participants, deal links, scorecards) always lands. Transcript content comes in when theme clustering or coaching analysis needs it, with PII rules, redaction and retention agreed explicitly before content enters the warehouse.
Gong's own CRM links are preserved and augmented with participant-email matching and calendar metadata, which is usually enough to match ninety-plus percent of calls to the right Salesforce or HubSpot opportunity. Unmatched calls are surfaced for review instead of silently dropped.
We review your Gong setup and the systems around it. Together we pick the first thing worth building.