Data Panda brings your Shopify 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.
Shopify powers direct-to-consumer and B2B brands across more than four million stores. Most brands already know what Shopify is, so the page does not dwell on the tool. The richer point is that the order, customer and product data inside Shopify is the most honest first-party behavioural signal a DTC brand has.
Shopify's built-in analytics cover store-level headlines well. What it does not do is tie those orders to your marketing spend, your customer support load, your fulfilment cost or your accounting. That is where a warehouse changes the shape of the answer.
Cohort, margin and product performance beyond what Shopify's built-in analytics will tell you.
Turn real purchase data into timely moves across marketing, service and ops.
Use your purchase and customer history to drive smarter personalisation and forecasting.
Merchant-facing tools that replace the plug-in wall with something your team wants to open every morning.
A list of concrete reports, automations and AI features we have built on Shopify data. Pick the one that matches your situation.
Which customer cohort is still profitable after returns?
Cohort LTV calculated on gross revenue minus refunds, discounts and fulfilment cost. Ranks acquisition sources by the cohort that still pays for itself six months later.
Which SKUs are tying up cash?
Stock on hand × weeks of cover × margin. Flags the long-tail items that look fine in a product list and quietly consume working capital for months.
How long until a Shopify customer becomes a repeat customer?
Days between first order and second order, broken down by acquisition channel and first-product category. Shows which products build a book of repeat buyers.
Real margin per order after returns and fulfilment, not the gross number the Shopify dashboard shows. Multi-store consolidation without a quarterly export-and-stitch.
RFM segments for personalised campaigns and clear targeting. Merchandisers see margin and stock together so they promote the items that pay the bills.
Inventory sell-through and fulfilment SLA in one picture. The moments where shipping slips or returns spike surface before the customer-service queue does.
For consumer brands on Salesforce Service Cloud, each Shopify order is linked to the matching account and case. Agents see what the customer ordered, where the shipment is and the last time they reached out, without asking the customer to repeat themselves.
Shopify order events flow into HubSpot as contact properties and timeline activity. Lifecycle email, support cases and loyalty nudges are grounded in what people bought, not in what a marketer assumed they would buy.
Shopify orders and their payment events arrive in Exact Online as invoices with the correct VAT and bank-feed reconciliation. The month-end finally matches without a spreadsheet reconciliation between the webshop and the books.
Shopify orders land in Odoo as sales orders with the correct products, stock moves and invoices. Inventory stays in one place and the ecommerce side of the business shows up in the same group P&L as the rest.
Shopify data covers 28 available tables across the supported connection options. The exact selection depends on your connection and access rights. Use the data in reports, combine it with the rest of your stack, or query it directly in your warehouse.
The tables at the top of the list open up to show their columns and data types.
Alongside reading data, these actions let you create, update or manage information in Shopify. The exact actions depend on your connection and permissions; some require a separate write-back connection.
Need another table, field or write-back action? Tell us what you need. We can check the available options or help extend the connector.
You keep the reporting tool you already have. We connect it to the warehouse where your Shopify data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys. Read our DPA
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.
Shopify's API uses bucket-style rate limits. We pull via the bulk API for historical loads and switch to webhooks for live order events. Busy Black-Friday-scale traffic is handled without backing up or dropping records.
Yes. Both are separate Shopify entities and both are available in the warehouse with their own timestamps. Marketing can segment on abandoned-cart behaviour, and finance can see draft orders separately from confirmed revenue.
Each store connects separately and lands in its own schema with a shop identifier. Group reporting joins them in the warehouse, so cross-store cohorts and consolidated P&L become normal queries rather than a manual merge.
We review your Shopify setup and the systems around it. Together we pick the first thing worth building.