Question 1

Can you calculate true profit per order including fulfilment costs?

Accepted Answer

Yes. We combine your Shopify or WooCommerce order data with 3PL invoices, shipping zone rates, packaging costs, and COGS to show profit at the individual order level – not just in aggregate.

Question 2

How do you fix marketing attribution when every platform over-claims?

Accepted Answer

We build a first-party attribution model using your actual order data and UTM parameters. This gives you a single version of which channels drive profitable orders – not just which platforms claim credit.

Question 3

What about subscription and repeat purchase analytics?

Accepted Answer

We build cohort-level LTV models that show customer acquisition cost payback by channel, retention curves by product, and predict revenue from existing subscribers – so you know where to invest.

Question 4

Do you integrate with our 3PL’s systems?

Accepted Answer

Yes. Whether your 3PL provides API access, SFTP file drops, or portal exports – we connect it. We’ve worked with most major Australian fulfilment providers.

Question 5

Can you help with inventory forecasting?

Accepted Answer

We build demand forecasting models based on your historical sales velocity, seasonality, and marketing calendar – so you can set reorder points with data instead of gut feel.

You don’t know which orders are actually profitable – once you factor in fulfilment, returns, and real ad spend.

Problems we solve every day.

True COGS per order is unknown

Marketing spend attribution by channel is broken

Inventory forecasting is manual

The systems we connect for pet & dtc ecommerce.

Three steps to a data foundation that works.

The Data Blueprint

The Data Foundation

Data Command Centre

Order-level profitability mapped across fulfilment, marketing, and COGS

Related reading.

What Messy Data Actually Costs Your Business

The Compounding Returns of Clean Data

Data Strategy Roadmap for Growing Businesses

Ready to sort your ecommerce data out?