Shopify connector

Use your Shopify data for reporting, automation and AI.

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.

Data Panda Reporting Automation AI Apps
Shopify logo
About Shopify

Where your real customer behaviour is recorded.

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.

What your Shopify data is for

What you get once Shopify is connected.

Commerce reporting

Cohort, margin and product performance beyond what Shopify's built-in analytics will tell you.

  • Cohort LTV by acquisition source
  • Margin per order after returns and fulfilment
  • Repeat purchase rate and time-to-reorder

Process automation

Turn real purchase data into timely moves across marketing, service and ops.

  • Lifecycle and win-back flows on real behaviour
  • Return-rate alerts by SKU and supplier
  • Inventory reordering triggered by sell-through rate

AI workflows

Use your purchase and customer history to drive smarter personalisation and forecasting.

  • Product recommendations grounded in real basket data
  • Customer segment scoring for campaign targeting
  • Demand forecasting per SKU and per store

Custom apps on your data

Merchant-facing tools that replace the plug-in wall with something your team wants to open every morning.

  • Buyer 360 for support agents
  • Merchandiser dashboards with margin and stock together
  • Wholesale or partner portals on top of Shopify data
Use cases

Use cases we deliver with Shopify data.

A list of concrete reports, automations and AI features we have built on Shopify data. Pick the one that matches your situation.

Cohort LTVSign-up cohort × month × revenue and margin.
RFM segmentationRecency, frequency, monetary segments for targeting.
Product velocityUnits sold per week, trend and seasonality.
Inventory sell-throughWeeks of cover per SKU, flagged reorder points.
Fulfilment SLAOrder to ship to delivered, per carrier and warehouse.
Return rate by SKUReturns as percent of units sold, ranked.
CAC paybackMarketing spend versus cohort net revenue.
Repeat purchase rateShare of customers who return within ninety days.
Cart recovery attributionWhich recovery email produced paid orders, not just opens.
Margin per orderAfter COGS, discounts, returns and fulfilment cost.
Discount effectivenessIncremental revenue versus discount given, per campaign.
Multi-store consolidationGroup reporting across several Shopify stores.
Real business questions

Answers you will finally get.

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.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

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.

For sales leaders

RFM segments for personalised campaigns and clear targeting. Merchandisers see margin and stock together so they promote the items that pay the bills.

For operations

Inventory sell-through and fulfilment SLA in one picture. The moments where shipping slips or returns spike surface before the customer-service queue does.

Ideas

What you can automate with Shopify.

Pair with Salesforce

Give service agents the order context

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.

Pair with HubSpot

Run post-purchase marketing on real order data

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.

Pair with Exact Online

Reconcile Shopify orders with Exact invoices

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.

Pair with Odoo

Sync webshop orders into Odoo stock and accounting

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.

Data model

Tables we make available.

These are the 9 tables we currently pull from Shopify into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.

  • Abandoned Checkouts
  • Collects
  • Custom Collections
  • Inventory Items
  • Inventory Levels
  • Locations
  • Metafields
  • Products
  • Transactions

Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Shopify data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Shopify to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • Shopify connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

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.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

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.

Will the sync keep up with busy stores?

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.

Do draft orders and abandoned checkouts come across?

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.

We run several Shopify stores. How are they handled?

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.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your Shopify setup and the systems around it. Together we pick the first thing worth building.