Analytics

E-commerce analytics & AI reporting

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How We Make The Numbers Useful

01.

P&L By Channel & SKU

True Contribution

Ad Spend, Fees & Returns

Most brands at this size are flying blind. We build contribution margin by channel and by SKU so decisions have a basis other than instinct.

Let’s talk

Let’s talk

01.

P&L By Channel & SKU

True Contribution

Ad Spend, Fees & Returns

Most brands at this size are flying blind. We build contribution margin by channel and by SKU so decisions have a basis other than instinct.

Let’s talk

Let’s talk

01.
P&L By Channel & SKU

True Contribution

Ad Spend, Fees & Returns

Most brands at this size are flying blind. We build contribution margin by channel and by SKU so decisions have a basis other than instinct.

Let’s talk

Let’s talk

02.

Weekly Trading Reports

One Page

Actions, Not Dashboards

A weekly report you will actually read, ending in decisions rather than another dashboard nobody opens.

Let’s talk

Let’s talk

02.

Weekly Trading Reports

One Page

Actions, Not Dashboards

A weekly report you will actually read, ending in decisions rather than another dashboard nobody opens.

Let’s talk

Let’s talk

02.
Weekly Trading Reports

One Page

Actions, Not Dashboards

A weekly report you will actually read, ending in decisions rather than another dashboard nobody opens.

Let’s talk

Let’s talk

03.

Forecasting

Budget & Demand

Scenario Planning

Yearly forecasts and in-year reforecasts built bottom-up by market, robust enough to take to a board.

Let’s talk

Let’s talk

03.

Forecasting

Budget & Demand

Scenario Planning

Yearly forecasts and in-year reforecasts built bottom-up by market, robust enough to take to a board.

Let’s talk

Let’s talk

03.
Forecasting

Budget & Demand

Scenario Planning

Yearly forecasts and in-year reforecasts built bottom-up by market, robust enough to take to a board.

Let’s talk

Let’s talk

04.

AI Reporting

Automated Analysis

Anomaly Detection

AI used to do the reading: pulling channel data together, flagging what moved and why, and drafting the commentary before a human reviews it.

Let’s talk

Let’s talk

04.

AI Reporting

Automated Analysis

Anomaly Detection

AI used to do the reading: pulling channel data together, flagging what moved and why, and drafting the commentary before a human reviews it.

Let’s talk

Let’s talk

04.
AI Reporting

Automated Analysis

Anomaly Detection

AI used to do the reading: pulling channel data together, flagging what moved and why, and drafting the commentary before a human reviews it.

Let’s talk

Let’s talk

05.

AI In Your Operation

Practical Use Cases

Listings, Service & Ads

Where AI genuinely saves time in an e-commerce business — listing generation, service triage, ad copy, bid analysis — and, just as usefully, where it does not.

Let’s talk

Let’s talk

05.

AI In Your Operation

Practical Use Cases

Listings, Service & Ads

Where AI genuinely saves time in an e-commerce business — listing generation, service triage, ad copy, bid analysis — and, just as usefully, where it does not.

Let’s talk

Let’s talk

05.
AI In Your Operation

Practical Use Cases

Listings, Service & Ads

Where AI genuinely saves time in an e-commerce business — listing generation, service triage, ad copy, bid analysis — and, just as usefully, where it does not.

Let’s talk

Let’s talk

Further reading

Amazon Marketing Cloud, explained plainly

The ROAS number you should actually target

Honest answers.

Questions

What reporting do you actually produce?

Contribution margin by channel and by SKU, and a weekly one-page trading report that ends in decisions rather than charts.

How do you use AI in reporting?

To do the reading. Pulling channel data together, flagging what moved and why, and drafting the commentary before a human reviews it.

Where else does AI genuinely help in e-commerce?

Listing generation, customer service triage, ad copy and bid analysis. It is useful for volume and for first drafts, not for judgement.

Where does AI not help?

Anywhere the cost of being confidently wrong is high: pricing, compliance, forecasting, and anything customer-facing that goes out without review.

Do you build dashboards?

Only where one is genuinely needed. Most brands already have dashboards nobody opens and no agreed definition of contribution margin.

Can you build our forecast?

Yes. Yearly forecasts and in-year reforecasts, built bottom-up by market and robust enough to take to a board.

Let's work together

Flying blind on the numbers?

Tell us what reporting you have today and what decision you cannot currently make, and we will tell you what we would build.

UK, EU & US Accounts

Direct To The Operator