Data Panda brings your Google Ads 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.
Google Ads is Google's online advertising program, covering Search, Display, Shopping, YouTube, Performance Max and Demand Gen campaigns across Google's own properties and the wider Display Network. At the data level it exposes campaigns, ad groups, keywords, assets, search terms, conversions, impressions, clicks and cost, both through the Google Ads API and the reporting interface.
The point of pulling Google Ads into a warehouse is that the report Google shows you is attributed by Google, on a window Google picks, against the conversion definition Google sees. That is fine for day-to-day optimisation and not enough for the conversation about which channel is paying for itself. Next to your CRM deals, your Shopify or Magento orders and your Stripe charges, Google Ads spend gets measured against revenue that cleared, not against conversions that fired.
ROAS and CAC built on invoiced revenue, not on Google's own conversion count.
Let the rest of the stack react to what Google Ads produces.
Turn spend history into scoring that guides the next budget call.
Internal tools for the marketing and finance teams that Google's own UI does not ship.
A list of concrete reports, automations and AI features we have built on Google Ads data. Pick the one that matches your situation.
Which campaigns produced customers who stayed?
Google Ads campaign spend matched to customer lifetime value in your CRM, Shopify or Stripe, twelve months out. Ranks the campaigns whose customers are still paying next to the campaigns whose customers left before the first renewal.
Where is paid search eating organic?
Brand-term spend next to organic sessions and revenue on the same terms. Shows the queries where the click was already going to convert on the organic listing, so pausing the paid bid would not cost revenue.
Which keywords look fine on Google and lose money on the ledger?
Cost per conversion from Google Ads against cost per paying customer from the warehouse, per keyword. Identifies the keywords whose conversion rate looks healthy in the Google interface because the conversion definition is generous, and whose economics are underwater once refunds and churn are in.
Paid-media spend next to invoiced revenue per campaign and per channel, with blended CAC and payback period tracked over time. The marketing budget defence stops leaning on ROAS on Google's own dashboard.
First-touch and last-touch Google Ads source on every CRM deal, tied to deal outcome and revenue. The quarterly review moves from 'leads generated' to 'deals closed that paid', per source.
Campaign pacing, budget drift and conversion-lag trends in one board. Spend decisions happen weekly on the same numbers the CFO will see at quarter-end, instead of on a snapshot from the Google UI.
Google Ads campaign, ad group and keyword carry through to the HubSpot contact and deal they produced. Marketing reports on closed-won revenue per campaign instead of on conversions the Google pixel fired, and finance has the full paid-to-paid chain.
Click-level cost from Google Ads sits next to the Shopify orders that the same session produced, with refunds and fulfilment costs taken into account. ROAS stops being the Google-reported number and starts being the margin that stayed.
First-touch and last-touch Google Ads source become fields on the Salesforce lead and opportunity, with campaign-level cost available in reports. The pipeline review can rank campaigns by closed-won value per euro spent, not only by MQLs produced.
Pipedrive deals carry the Google Ads campaign, ad group and keyword that brought the lead in, plus cost and click timestamps. Deal-source reports stop relying on rep-entered UTMs that were wrong half the time anyway.
These are the 28 tables we currently pull from Google 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 Google 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 MCC hierarchy preserved. Reporting can stay per account for a product or brand view, or roll up to the MCC for a group-level spend picture. Agencies running many clients through one MCC get per-client isolation plus a consolidated view on top.
Yes. Once CRM-closed revenue or Stripe paid-subscription events are in the warehouse, we can push them back to Google Ads as offline conversions, keyed on GCLID. Smart Bidding then optimises against paid outcomes instead of form fills, which usually rebalances budget within a few weeks.
We review your Google Ads setup and the systems around it. Together we pick the first thing worth building.