Data Panda brings your Pipedrive 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.
Pipedrive was founded in Estonia in 2010 by a group of salespeople who wanted a CRM built around the kanban pipeline instead of around an administrative process. It is now used by more than 100,000 companies worldwide, mostly SMB sales teams who need a simple place to track deals, activities and follow-ups without the enterprise overhead that comes with Salesforce.
The point of pulling Pipedrive into a warehouse is not that Pipedrive lacks reporting. Pipedrive is good at answering what sales wants to know this week. The question leadership has to answer is what closed-won in Pipedrive turned into invoiced revenue, which campaign seeded the deals that are now paying, and which rep closes scope that finance ever sees. Those answers only show up when Pipedrive sits next to the accounting system, the marketing tool and the payments system.
Pipedrive pipeline, Pipedrive history and invoiced revenue on one chart instead of three.
Make the hops from won deal to paid invoice visible and automatic.
Use Pipedrive history to score which deals are likely to close and which are about to ghost.
Internal tools sales leaders ask for that Pipedrive's UI does not bend to.
A list of concrete reports, automations and AI features we have built on Pipedrive data. Pick the one that matches your situation.
Which reps close deals that finance ever sees?
Won Pipedrive deals per rep matched to first paying invoice in the accounting system, with elapsed days and drop-off rate on the way. Ranks the reps whose wins turn into revenue quickly, next to the ones whose board numbers look good but never pay the rent.
Which deals are stuck without anyone admitting it?
Deals that have sat in one stage longer than twice the median for that stage, flagged per rep and per value. Separates the deal waiting on legal from the deal the prospect has quietly moved on from.
Which lead source produces revenue that lands?
Source attribution traced from first Pipedrive deal through to invoiced revenue twelve months later. Often changes the marketing budget conversation, because the source that fills the pipeline is not always the source that fills the bank account.
Won Pipedrive deals tracked to invoiced revenue in the accounting tool, with lag and drop-off visible. Forecasting meetings stop pretending that closed-won is revenue, because the reconciliation is already on screen.
Pipeline velocity, win rate and activity mix per rep, next to the commission that the wins produced. Coaching conversations move from gut feel to the specific stage or activity that is costing someone their number.
Territory load, stale-deal rate and lead-source quality over twelve months. Route and rep-mix decisions are made against revenue that cleared, not a pipeline snapshot on a Monday.
When a Pipedrive deal reaches closed-won, a sales invoice is drafted in Exact Online with the right customer, product lines and VAT treatment. The Pipedrive deal reflects the Exact Online invoice number and paid state, so the rep sees when their deal turned into actual revenue.
Marketing-qualified HubSpot contacts create or update deals in Pipedrive with the right owner and pipeline, and the deal outcome flows back to the HubSpot contact. Sales works in Pipedrive without losing the campaign context, and marketing sees which source ends in revenue.
When a Pipedrive deal moves stages, goes stale or is won, the matching Mailchimp campaign fires: a reactivation for stalled deals, onboarding for new customers, or a stay-in-touch sequence for deals that lost for reason that might come back. The marketing list reacts to the pipeline instead of running on its own clock.
A Pipedrive deal marked closed-won is linked to the Stripe subscription or invoice it produced. First successful charge, dunning failures and churn events flow back to the deal, so commission, revenue recognition and customer health all read the same number.
These are the 11 tables we currently pull from Pipedrive 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 Pipedrive 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.
Yes. Every Pipedrive pipeline, stage and custom field lands as a first-class column in the warehouse. Renamed or retired pipelines are kept historically with the old names, so win-rate trends still make sense after the team reshuffles a board.
We use webhooks for change events and an incremental polling pass on updated-since for reconciliation, which keeps the connector well inside the published limits even on the busiest accounts. The initial history load is staged so it does not trip a temporary throttle during setup.
We review your Pipedrive setup and the systems around it. Together we pick the first thing worth building.