E-commerce Overview

From raw store & advertising data to performance visibility.
Jan 2024 — Aug 2026

Net Sales — Monthly

Sales by Source

Growth
Revenue is up year-on-year

Basket
AOV needs monitoring

Decision
Focus on drivers, not vanity KPIs

Use product mix, customer behaviour and channel economics to explain revenue changes.

Revenue & Orders — Monthly

Recent daily performance

ROAS by Platform — 2026

Spend vs Attributed Revenue

Campaign performance — 2026

Top Products by Net Sales

Country Contribution

Product performance

Decision layer

What matters now

The purpose of this section is not to repeat the KPIs. It translates the data into questions, priorities and actions for the next decision cycle.

01 · Priority
Diagnose the AOV decline

Revenue growth is being driven more by order volume than basket value. The most recent slowdown should therefore be investigated through product mix, basket size, discounts and multi-item orders.

Action: compare August vs July by product combination, discount level and order size.
02 · Priority
Investigate repeat purchasing

New-customer acquisition and retention tell different stories. Before increasing acquisition spend, establish whether existing customers are purchasing again at the expected rate.

Action: build cohorts by first-order month, first product and acquisition source.
03 · Acquisition
Separate attribution from incrementality

Platform ROAS is useful for optimisation, but reported revenue is not the same as incremental revenue. Retargeting can receive credit for demand that already existed.

Action: compare platform attribution with Shopify source behaviour and consistent attribution windows.
04 · Profitability
Add contribution margin

Revenue, ROAS and order volume do not establish whether the business is profitable. Product and channel decisions become materially stronger once direct costs are included.

Action: add COGS, payment fees, fulfilment, shipping subsidies and refunds to the model.
Recommended decision sequence
1. Explain the recent revenue movementNow
2. Understand customer retentionNext
3. Validate paid-media economicsNext
4. Introduce contribution marginBuild
Questions this dashboard should answer every week
Sales
What changed?

Revenue, orders, AOV, products and markets.

Diagnosis
Why did it change?

Find the product, customer or channel driving the movement.

Action
What should we do next?

Turn the strongest evidence into a small number of concrete actions.

Customer type

Customer revenue mix

Data quality

Analysis
New vs Returning

Separate acquisition growth from retention behaviour before deciding where to invest.

Next layer
Cohort retention

Build first-order-month cohorts to measure repeat purchase properly.

Missing data
Profitability

COGS, payment fees and fulfilment costs are needed to calculate contribution margin.