Data Panda brings your Meta advertising 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.
Facebook Ads is Meta's advertising platform, covering Facebook, Instagram, Messenger, WhatsApp and the Audience Network. At the data level it exposes campaigns, ad sets, ads, creatives, audiences, placements and a long list of performance insights through the Marketing API.
The point of pulling Facebook Ads into a warehouse is that Meta's reports are attributed by Meta, in a window Meta picks, against the events the Meta pixel fires. That is useful for intraday optimisation and not enough for the question about which social ads produced customers who bought and stayed. Next to your CRM, Shopify or Klaviyo data, social ad spend gets measured against revenue that cleared, not against reach that was served.
Reach and CPM next to cleared revenue and LTV, per campaign and per creative.
Let Meta campaigns react to the business data already sitting somewhere else.
Turn ad-spend history into scoring that reshapes the next creative test.
Internal tools around Meta data that the business keeps asking for in slide decks.
A list of concrete reports, automations and AI features we have built on Facebook Ads data. Pick the one that matches your situation.
Which campaigns produced customers who stayed?
Meta campaign spend matched to lifetime value in your CRM, Shopify or Stripe, twelve months out. Ranks the campaigns whose customers kept buying next to the campaigns whose customers left before the second order.
Are we paying Meta to reach our existing customers?
Retargeting spend next to CRM match, per audience. Surfaces the retargeting ad sets whose audiences are already your paying customers, so the budget is reserving attention that was never at risk.
Which creative is fatiguing before Meta says so?
Creative-level CPC and conversion trend over the last fourteen days, against the fatigue signals the Meta dashboard surfaces. Flags the ad whose economics are deteriorating before the built-in alert does.
Social ad spend against paid revenue and customer lifetime, not against Meta's own conversion count. The marketing budget defence moves from reach and CPM to euros spent and euros collected.
First-touch Meta campaign visible on CRM contacts and deals, with outcome. Marketing hands over leads with the full ad context so reps stop asking where a lead came from.
Budget pacing, creative rotation and audience quality on one board, updated daily. Spend decisions happen on the same numbers the CFO will see at quarter-end, not on the Meta UI of the moment.
Click-level cost from Meta sits next to the Shopify orders the same session produced, with refunds and fulfilment cost in the math. ROAS stops being the Meta-reported number and starts being the margin that stayed.
High-LTV Klaviyo segments push to Meta as custom and lookalike audiences, and audience performance flows back as a Klaviyo-tagged list. Acquisition spend stops guessing at what a good customer looks like and starts reusing the definition that Klaviyo already has.
First-touch and last-touch Meta campaign, ad set and creative become fields on the HubSpot contact and deal. Marketing reports on closed-won revenue per creative instead of on pixel fires, and finance has the full paid-to-paid chain.
Salesforce pipeline stage and closed-won revenue push back to Meta as offline conversions keyed on the original click. Advantage+ and Smart Bidding optimise against signed deals instead of lead-form submissions, which usually rebalances spend within weeks.
These are the 10 tables we currently pull from Facebook Ads 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 Facebook Ads 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. Each ad account lands in its own warehouse schema with the Business Manager hierarchy preserved. Holding companies running many brands get per-brand isolation and a consolidated view at group level without flattening the tree.
Yes. Once CRM-closed revenue or Stripe paid events are in the warehouse, we push them back to Meta via the Conversions API, deduplicated with pixel events. Advantage+ then optimises against outcomes that the business cares about, not only against the pixel.
We review your Facebook Ads setup and the systems around it. Together we pick the first thing worth building.