Confidential brandCell Phones & Accessories12 mo

Retiring SKUs on a schedule instead of discovering dead stock

Write-offs $340k → $61k a year

Phone accessories die when the device they serve does, and this brand kept finding out afterwards. A retirement ladder tied spend, price and inventory to the age of each device generation.

Retiring SKUs on a schedule instead of discovering dead stock

At a glance

Category
Cell Phones & Accessories
Marketplaces
US, CA
Revenue at start
$286k / month
Catalog
340 SKUs across 6 device generations
Problem
$340k written off in the previous year
Engagement
Full account management + PPC
Timeframe
12 months

Results

Annual dead-stock write-off-82%$340k $61k
Monthly revenue+39%$286k $398k
Inventory tied up in SKUs older than 24 months-32 pts41% 9%
Long-term storage fees-87%$8.4k / mo $1.1k / mo

The challenge

Every accessory in this catalog has an expiry date set by somebody else: when a device generation stops being carried, demand for everything made for it falls off within two quarters and never returns. The brand knew this in principle and behaved as if each SKU would sell forever.

The result was a catalog where 41% of inventory value sat in products for devices three and four generations old, still carrying advertising budget out of habit, still accruing long-term storage fees, and eventually written off in one painful line at year end. The cash locked in that stock was the same cash the brand kept saying it did not have for new launches.

Our approach

We made the decline predictable and acted on it early, while the stock still had value.

  • Every SKU tagged with the device generation it serves, which converts a catalog into a set of cohorts with known ages.
  • A four-stage ladder — grow, hold, taper, exit — with the stage set by generation age and sell-through rate rather than by opinion.
  • Advertising withdrawn at the taper stage instead of at the exit stage, since paying for clicks on a dying SKU is the most expensive way to hold inventory.
  • Planned markdowns at exit, timed twelve to sixteen weeks before the point where the stock historically became unsellable.

Timeline

Months 1–3

Cohort the catalog

  • 340 SKUs mapped to device generations
  • Sell-through curves built from three years of history
  • The point of no return identified at roughly 26 months
Months 4–8

Run the ladder

  • Stage rules applied to every SKU monthly
  • Ad spend pulled from 74 tapering SKUs
  • First planned exit wave cleared $190k of stock at 62% of list
Months 9–12

Reinvest

  • Freed cash moved into current-generation depth
  • Storage fees down 87%
  • Year-end write-off $61k, all of it from one discontinued line

The results

The annual write-off fell from $340k to $61k, and the share of inventory sitting in SKUs older than two years went from 41% to 9%.

Revenue grew 39% because the cash that used to die in old stock bought depth in current-generation products, which sell. The markdowns themselves were not clever — selling at 62% of list is nobody's ambition — but they recover roughly two thirds of the value that the previous approach recovered none of, and they do it a year earlier.

“Nothing in this catalog gets old slowly. Once we admitted that, half the decisions made themselves.”
Managing Director, Phone accessory brand

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