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Calder & Co.Food & Beverage

Finding the margin hiding in the fee schedule

Calder's revenue was growing and its margin was not. The gap was in fee tiers, storage and unreconciled returns.

Engagement: Operations and analytics · 10 months

Headline results

  • +6.3pt

    Contribution margin

    As a share of net revenue

  • -42%

    Storage fees

    Trailing 6 months

  • 100%

    Reconciliation

    Dashboard to settlement report

Illustrative figures. This case study is demonstration content. Replace the brand, quote and every number here with verified, client-approved data before publishing — see src/content/case-studies.ts.

The challenge

What was actually wrong.

Calder reported Amazon revenue before returns and fees, so the channel appeared far more profitable than it was.

A packaging change eighteen months earlier had never been reflected in Amazon's dimension records, putting several SKUs in the wrong fee tier.

Background

Food and beverage carries tight margins and high storage sensitivity, so fee tier errors compound quickly.

Finance and marketing were working from different definitions of 'Amazon revenue', which made every budget conversation an argument about data.

Strategy

What we decided to do — and in what order.

  1. Agree the definitions first

    Before building anything, we agreed one definition each for revenue, net revenue and contribution margin, and documented them.

  2. Reconcile to settlement

    The dashboard was validated against a known settlement period rather than assumed to be accurate.

  3. Correct the record, then claim

    Dimension and weight corrections were filed first so the overcharge stopped, then historical claims were pursued.

  4. Make storage a planned cost

    Aged inventory was modelled against removal and discount options rather than left to accrue.

Execution

The work, week by week.

  • Audited recorded dimensions and weights across the catalogue; filed corrections on 19 SKUs.
  • Ran a full reimbursement audit within current eligibility windows and tracked each claim to resolution.
  • Built a contribution margin model per ASIN including landed cost, fees, returns and storage.
  • Reconciled the dashboard against a full settlement period and documented every definition.
  • Introduced an aged-inventory review with removal, discount and bundle options modelled monthly.

Before vs after

The movement.

Metrics before and after the engagement. All figures are illustrative placeholders.
MetricBeforeAfterNote
SKUs in incorrect fee tier190After dimension corrections
Long-term storage exposureHighLowAged units as share of inventory
Definitions of 'Amazon revenue' in use41Documented and agreed
Dashboard-to-settlement varianceUnknownUnder 1%Reconciled monthly
M1M6M10
Contribution margin as a percentage of net revenue. Illustrative placeholder data.
View the underlying data as a table
Values plotted in the chart above
PeriodIndexed value
M111
M313
M615
M816
M1017

Timeline

How it unfolded.

  1. Weeks 1–4

    Definitions and audit

    Metric definitions agreed; dimension and reimbursement audit run.

  2. Weeks 5–12

    Corrections and claims

    Fee corrections filed; historical claims pursued to resolution.

  3. Months 4–7

    Margin model

    Contribution margin by ASIN built and reconciled to settlement.

  4. Months 8–10

    Embedding

    Monthly aged-inventory review and weekly written summary established.

Key learnings

What we'd tell the next brand.

  • Operational margin recovery is unglamorous and often larger than the gain available from bid optimisation.

  • A dashboard that has never been reconciled to settlement is an assumption, not a report.

  • Agreeing metric definitions before building the reporting removes most future disagreements.

Nothing about our advertising changed in the first quarter. Our margin still went up.
[CLIENT NAME], [JOB TITLE], Calder & Co.

Placeholder attribution. Client names and quotes are published only with written permission.

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