MarginMeter

Know what is making money. Know what isn’t. Know why.

MarginMeter is AI commercial intelligence for Amazon FBA businesses. Connect Amazon, enter your landed product costs, and MarginMeter analyses your business down to product level to identify what is hurting profitability, explain why it is happening and show what to do next.

Then it keeps watching.

MarginMeter is built to continuously monitor the commercial health of your Amazon business and to provide a clear weekly review of what changed, what needs attention and where margin may be at risk.

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Product contribution reconciliationExample MarginMeter analysis

Reported margin

14.2%

True contribution

6.8%

Amazon & FBA fees-3.1%
Advertising spend-2.4%
Returns & refunds-1.6%
Landed cost drift-0.3%

Finding: Advertising is consuming 90% of contribution on this product. Reviewing campaign targeting is recommended.

The problem

Sales can hide what is really happening

Amazon retail can look highly profitable at first glance. But once FBA fees, advertising, returns, promotions, storage, customer issues and product costs are taken into account, individual products can tell a very different story.

And when a business has hundreds or thousands of SKUs, no operator can realistically monitor every product, fee, advert, return and customer signal manually.

MarginMeter drills down to product level and explains, in plain English, what is driving the problem.

  • ?Is the product being returned because of a fault?
  • ?Are customers repeatedly highlighting the same problem?
  • ?Are advertising keywords spending money without generating profitable sales?
  • ?Is the gross margin simply too low?
  • ?Has discounting increased sales but destroyed contribution?
  • ?Are FBA fees, storage or returns making the product uneconomic?
  • ?Is profitable stock running out while poor-performing stock ties up cash?

MarginMeter brings the commercial data together, identifies the likely cause, quantifies the financial impact and tells the operator what needs attention first.

The first scan

Connect Amazon. Enter your landed costs. Let MarginMeter do the rest.

When MarginMeter first connects to an Amazon FBA business, it performs a commercial scan across the products and available Amazon data.

Instead of presenting another wall of charts, it identifies the issues that actually need attention and ranks them by commercial importance.

  1. 1

    Connect Amazon securely

    Authorise MarginMeter to retrieve the Amazon seller data required for commercial analysis.

  2. 2

    Add landed product costs

    Provide the current landed cost of each product.

  3. 3

    MarginMeter runs a commercial scan

    Sales, refunds, Amazon charges, FBA costs, advertising, inventory, returns and product economics are analysed together.

  4. 4

    Receive ranked findings and actions

    The most commercially significant issues are surfaced first, with the probable cause and the next action.

Commercial Scan CompleteIllustrative example

684

Products analysed

23

Issues identified

£8,420

Est. margin at risk

Advertising issues7
Abnormal return patterns5
Customer / product concerns3
Pricing or promotion issues4
Inventory issues2
Amazon fee anomalies2

Figures shown are illustrative of the MarginMeter output format and are not customer results.

Product-level diagnosis

Not just the number. The reason behind it.

MarginMeter does not stop at telling you that a product has a poor margin. It investigates the commercial signals around that product to determine what may be causing the problem.

Product 2149

Issue detected: Profitability deteriorating

Illustrative MarginMeter analysis

What MarginMeter sees

Gross product margin remains healthy, but advertising costs and returns have increased.

Likely cause

Advertising efficiency has deteriorated and customer return feedback shows a recurring product issue.

Commercial impact

Estimated £1,260 margin at risk over the next 90 days.

Recommended action

Review the recurring customer issue, reduce uneconomic advertising activity and monitor the product before increasing spend.

Returns / Listing Issue

Customer return comment

“The strap is too short to wear this as a crossbody bag.”

MarginMeter detected

Unusually high return rate, with comments repeatedly citing strap length.

Likely cause

Listing shows the bag as crossbody, but the strap is too short for that use.

Recommended action

Add strap and drop measurements to the listing, and review the strap length for the next production run.

Product Quality Issue

Customer return comments

“Zip keeps jamming.”
“Zip difficult to open.”

MarginMeter detected

Multiple returns cite the same component, not unrelated reasons.

Likely cause

Possible recurring product-quality issue rather than a preference.

Recommended action

Inspect remaining stock, compare complaints by production batch, and raise the defect with the supplier.

Commercial / Advertising Issue

MarginMeter detected

The product is profitable before advertising, but ad spend consumes most of its contribution.

Why it matters

Revenue is growing without producing enough incremental profit.

Recommended action

Identify the campaigns and search terms responsible, and reduce or redirect spend where the economics don't hold.

MarginMeter identifies what is wrong, why it is happening, what it is costing and what to do about it.

What MarginMeter does

See the true economics behind your Amazon business

True product economics

Bring together sales, product cost, Amazon fees, advertising, returns, promotions and other relevant costs to understand the real economics of individual products.

Advertising intelligence

Go beyond ACOS and ROAS. Identify products, campaigns and advertising activity that generate sales but fail to generate adequate contribution.

Returns & customer feedback intelligence

MarginMeter analyses the reasons customers give for returns — not just the return rate. It reads return comments at scale to identify recurring themes, product defects, listing expectation gaps and other patterns that may be damaging margin.

Pricing & promotion intelligence

Identify when discounting or promotional activity increases turnover but reduces actual profitability.

Inventory & working-capital intelligence

Highlight slow-moving stock, cash tied up in inventory, stockout risks and products that may not justify further investment.

Commercial anomaly detection

Identify unusual changes in fees, returns, advertising, conversion, pricing, inventory or product economics that deserve investigation.

It doesn’t stop after the first scan

Your Amazon business, commercially reviewed every week.

The first analysis finds the problems that already exist. MarginMeter is designed to keep monitoring the business for what happens next.

Ordinary changes can be included in a weekly commercial review. Significant changes can be escalated as alerts so the operator does not have to continually search Amazon reports for problems.

Scan
Diagnose
Prioritise
Act
Monitor
Report
Measure

Every Friday

Your Weekly Commercial Review

Weekly Commercial ReviewIllustrative example
Overall business healthGood — 4 issues need attention

What changed this week

Revenue+8%
Contribution+3%
Advertising cost+14%
Return rateBroadly unchanged

New issues detected

  • Product 2053

    Return comments show an emerging quality concern

  • Product 2149

    Advertising has moved below break-even

  • Product 6504

    Conversion has fallen despite stable traffic

  • Product 2061

    Discounting increased sales but reduced contribution

Estimated margin at risk

£1,460

Priority action

Investigate the emerging product issue before increasing advertising spend.

Issues resolved

Know whether the fix actually worked.

MarginMeter is designed not only to identify problems, but to track what happens after action is taken.

Detect. Diagnose. Act. Measure.

Outcome measurement is part of the evolving private-pilot capability. No historical customer savings are being claimed.

Advertising issue resolvedIllustrative example
  • Advertising cost reduced
  • Conversion remained stable

Estimated contribution improvement

£310 per month

What makes MarginMeter different

Not another Amazon dashboard.

Amazon already provides enormous amounts of data. The problem is not access to more numbers. The problem is knowing what those numbers mean commercially.

MarginMeter is designed to act as an AI commercial control system for an Amazon FBA business — analysing products, costs, advertising, returns, inventory and customer signals together, then explaining what deserves attention in language an operator can understand.

Traditional dashboardMargin: 4%

MarginMeter aims to answer

  • Why is margin only 4%?
  • Which products or costs caused it?
  • Is the issue advertising, returns, product quality, listing expectations, Amazon charges or something else?
  • What is the financial impact?
  • What should be done next?

Thousands of products. Millions of data points. One clear commercial view.

Who it is for

Built for Amazon FBA businesses

MarginMeter is built specifically for brands and businesses selling through Amazon Marketplace using Fulfilment by Amazon.

It is intended to work across businesses carrying many products, where manually monitoring every SKU, fee, advert and return becomes impractical and margin problems can go unnoticed for months.

Security and data

Your data remains your business data

MarginMeter uses authorised Amazon API connections to retrieve the data required for commercial analysis.
Amazon information is not sold to third parties.
Access is restricted to authorised users.
MarginMeter does not require access to Amazon buyer personally identifiable information for its core commercial analysis.

About

About MarginMeter

MarginMeter is developed by Divine Life Ltd, a UK company developing commercial intelligence software for e-commerce businesses.

MarginMeter is currently in private pilot testing with its first Amazon FBA business ahead of wider release.

The first pilot is being used to validate the calculations, diagnosis and monitoring logic against a real operating Amazon FBA business before wider customer testing begins.

The aim is simple: turn complex Amazon data into clear commercial decisions.

See what is really happening inside your Amazon FBA business.

Join the MarginMeter private pilot and help shape a new approach to Amazon commercial intelligence.

Join the pilot