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E-commerce Analytics

Connect the data behind revenue, customers, products and fulfilment

Datazeb helps e-commerce businesses bring together storefront, marketplace, advertising, customer, inventory, fulfilment, payment, and finance data for clearer commercial reporting.

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Illustrative interface

The e-commerce data problem

Every platform has its own version of performance

When those systems are reviewed separately, teams can see individual channel metrics but struggle to connect customer acquisition, product performance, inventory, fulfilment, returns, and real financial outcomes.

  • Shopify, WooCommerce, Magento, or other storefront platforms
  • Marketplaces
  • Google / Meta / other advertising platforms
  • Payment gateways
  • Inventory / warehouse systems
  • Fulfilment and shipping platforms
  • CRM / email marketing tools
  • Finance and accounting systems

What Datazeb can deliver

  1. E-commerce Performance Dashboards

    Connect revenue, orders, customers, products, channels, marketing, inventory, and fulfilment into one commercial view.

  2. Product & Category Analytics

    Understand revenue, units, margin, returns, stock, velocity, and performance by product, SKU, category, or brand.

  3. Customer Analytics

    Track acquisition, repeat purchase, cohort behaviour, retention indicators, segments, and customer value where data allows.

  4. Marketing & Channel Reporting

    Bring paid media and channel data closer to actual commercial outcomes instead of viewing advertising platforms in isolation.

  5. Inventory & Availability Analytics

    Connect stock, sell-through, product availability, ageing, stockouts, and replenishment indicators.

  6. Order & Fulfilment Analytics

    Track order flow, cancellations, returns, shipping, fulfilment, and operational exceptions.

  7. Data Integration

    Connect storefronts, marketplaces, ad platforms, payments, CRM, inventory, finance, APIs, files, and databases.

  8. Automated Reporting & Alerts

    Reduce recurring manual exports and notify teams when commercial or operational conditions need attention.

Industry measures

E-commerce measures we work with

Traffic, orders and fulfilment reconciled with finance.

Traffic
Sessions by channel and campaign
Conversion
Orders per session
AOV
Average order value
CAC
Acquisition cost per customer
Returns
Return rate and reasons
Inventory
Stock available to sell
Repeat purchase
Customers who buy again

From commerce platforms to one trusted view

The important work often sits between the platforms and the dashboard: order-state logic, refunds, cancellations, SKU mapping, channel classification, customer identity, cost allocation, and financial reconciliation.

  1. 01Store / Marketplaces
  2. 02Ads / CRM
  3. 03Inventory / Finance
  4. 04Trusted Model
  5. 05Power BI / Actions

In detail

Explore the detail

Typical e-commerce challenges
  • Revenue totals differ between storefront, payment, and finance systems
  • Advertising performance is disconnected from margin and fulfilment cost
  • Product performance is hard to compare across channels
  • Inventory and online availability are not aligned
  • Returns and cancellations are not included consistently in reporting
  • Customer acquisition data is separated from repeat-purchase behaviour
  • Marketplace and direct-to-consumer reporting use different product structures
  • Management reporting requires manual exports from multiple platforms
  • Data refreshes are slow or unreliable
  • Leaders have plenty of metrics but no trusted commercial view
Revenue and order analytics

Understand sales after cancellations, returns and channel complexity

The exact revenue definition should be agreed with finance so commercial reporting aligns with the organisation's accounting logic.

  • Gross and net revenue
  • Order volume
  • Average order value
  • Units per order
  • Discount activity
  • Returns and cancellations
  • Revenue by channel
  • Revenue by region
  • Period-on-period trends
  • Order-status analysis
Product and SKU analytics

See which products are creating demand – and which are tying up inventory

Product master data should be aligned across storefront, marketplaces, inventory, and finance before cross-channel reporting is treated as reliable.

  • Revenue by product / SKU
  • Units sold
  • Sell-through
  • Margin where cost data is available
  • Return rate
  • Stock availability
  • Sales velocity
  • Slow-moving products
  • Category / brand performance
  • Channel-specific product performance
Customer and retention analytics

Look beyond first purchase

Where customer-level data is available and appropriate, Datazeb can support analysis around:

  • New vs returning customers
  • Repeat purchase
  • Purchase frequency
  • Cohort behaviour
  • Customer segments
  • Average customer value
  • Geographic patterns
  • Product affinity
  • Retention indicators
Marketing and acquisition reporting

Connect advertising activity to commercial outcomes

Advertising platforms are useful for campaign optimisation, but management reporting should also consider actual orders, returns, margin, and customer behaviour.

  • Spend by channel / campaign
  • Traffic and conversion
  • Cost per acquisition where definitions are aligned
  • Revenue linked to acquisition source where attribution is available
  • New vs returning customer mix
  • Product / category performance by channel
  • Campaign trend analysis
Inventory and availability

Growth is constrained when the right products are unavailable

Outcome: commercial teams can connect product demand with what the business can actually fulfil.

  • Stock on hand
  • Available inventory
  • Stockouts
  • Days of stock
  • Sales velocity
  • Slow-moving stock
  • Ageing
  • Product availability by channel
  • Replenishment indicators
  • Inventory vs demand trends
Fulfilment, shipping and returns

The sale is not complete when the order is placed

These measures help explain why top-line sales performance may not translate into equally strong customer or financial outcomes.

  • Order-to-dispatch time
  • Fulfilment status
  • Shipping status
  • Delivery performance where available
  • Cancellations
  • Returns
  • Refunds
  • Exception reasons
  • Fulfilment provider / warehouse comparison
Marketplace and multi-channel reporting

Standardise reporting across channels without losing channel-specific detail

Datazeb can create common product, channel, customer, and order structures while retaining the detail required to understand each channel.

  • Direct website sales
  • Retail / POS where relevant
  • Wholesale or B2B
  • Social commerce
  • Regional storefronts

FAQ

Frequently asked questions

Can you connect Shopify or WooCommerce to Power BI?

Yes, where the required APIs, databases, exports, or connectors are available. Datazeb can also combine storefront data with other commercial systems.

Can you combine marketplace and direct-store data?

Yes. The main work is usually aligning product, order, channel, customer, and date structures into a common model.

Can you connect advertising data with sales?

Yes. Datazeb can bring marketing-platform data into commercial reporting, while clearly documenting the attribution method and its limitations.

Can you report returns and refunds?

Yes, where those events are available from the storefront, marketplace, payment, fulfilment, or finance systems.

Can you build inventory and product analytics?

Yes. Datazeb can combine sales velocity, stock, product, category, and availability data where the required sources are accessible.

Connect the platforms before the next growth decision depends on separate dashboards

If storefront, marketing, inventory, fulfilment, customer, and finance data live in different systems, tell us how reporting works today. Datazeb can help create a more reliable view of revenue, products, customers, channels, stock, and operational performance.

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