The problem with spreading yourself evenly across the catalog

Most brands run their catalog like a democracy. The reorder budget spreads across every product. Ad spend goes into one big campaign. Bins, photos, forecasts, attention: equal shares.

But profit is not a democracy. A handful of products earns most of the money. The long tail rides along. Founders sense this, yet still lean into variety. More products feels like more chances to sell.

That costs you. While cash sits in slow stock, your best sellers run out during peak weeks. While ad budget waters the whole catalog, your winners get a trickle. The products that already work are the easiest place to make more money, and usually the most starved.

This article is about the third one: product cost. Every dollar of stock you buy is product cost. Where you park it decides how hard it works. The same $40 can sit for months in the tail. Or sell six times a year behind a winner.

1. An example showing you the numbers

Picture your sports nutrition brand: a whey line, a creatine line, a few extras, about 30 products. Each sells for $100, costs $40 landed, and leaves $60 of . Rank them by profit over the last 120 days and something jumps out. Five products carry almost half the business.

A cluster of supplement tubs under a warm spotlight with restocked inventory behind them and a navy-and-green shelf tag reading TOP PERFORMER.

Those five do not have the most marketing. Customers voted for them with their wallets. While they sell out in peak weeks, the tail sits on months of stock, holding the cash the winners need.

Follow one $40 of stock. In the tail, it sells and refills about twice a year: $120 of Gross Profit. Behind a winner, it turns about six times: $360. Same dollar, three times the work.

Top 5 products vs the other 25, a 120-day window

Every product at the house numbers: $100 price, $40 landed cost, $60 Gross Profit per unit.

Line itemTop 5 SKUsOther 25 SKUsThe gap
Units sold in 120 days4,0005,0005 SKUs sell 44%
Units sold per SKU800200each winner sells 4× more
Gross Profit in 120 days (× $60)$240,000$300,0005 SKUs earn 44%
Units on the shelf2,0007,500tail holds far more
Cash tied up in stock (× $40)$80,000$300,000tail holds nearly 4× the cash
Days of stock cover60 days180 daystail is 3× slower
Gross Profit per $1 of stock$3$1winners are 3× better

Five products out of 30, 17% of the catalog, sell 44% of the units and earn 44% of the profit. But the tail holds nearly four times the stock cash: $300,000 against $80,000. A dollar behind the winners returns $3 of Gross Profit every 120 days. A tail dollar returns $1.

Now move the money. Free $50,000 of tail cash, the cull from the last article, and put it behind the top five. That buys 1,250 units. Turning twice a year in the tail, that cash powered about 2,500 orders. Turning six times behind the winners, it powers about 7,500. Each order leaves $10 of at house rates. The same $50,000 now earns about $75,000 a year instead of $25,000. An extra $50,000, with no new product.

One honest note. This only works if your winners are truly capped by stock, selling out before reorders land. If they never stock out, deeper stock just sits. Today’s top five are not forever either. Back them hard. Re-rank in 90 days.

The sentence that changes how you think about your top SKUs

The winning move is not more products. It is deeper stock, wider ad coverage, and better bundle math around the products that already work.

Your winners have passed the hardest test in ecommerce: strangers paid full price, again and again. A dollar moved from the untested tail to a proven winner works about three times harder.

2. How to find and back your top SKUs

Once the data is pulled, this is a one-hour job. The output: a short list of winners, plus a plan to move cash and ad money behind them.

  1. Rank every product by Gross Profit over the last 120 days. Units sold × (price minus landed cost), high to low. The top five, or top 20% of a bigger catalog, are your winners. Demand is already proven.
  2. Check each winner for stockouts. Compare sales rate to stock on hand. Did it go dark during peak weeks? Every out-of-stock day on a winner is profit you never see. If winners go dark, deeper stock pays for itself fast.
  3. Move stock cash from the tail to the winners. Use the cash freed by culling and capping the tail. Aim for 90 to 120 days of cover on the top five, enough to ride out spikes and late shipments. The tail can live lean. The winners cannot.
  4. Point your ad spend at the winners. Swap part of the catalog campaign for ads built on each top-five product. Sharper creative. Tighter offer. Better landing page. Track Return on Ad Spend (ROAS) per product, before and after.
  5. Build bundles around the winners, then re-rank quarterly. Winners are the natural anchor for bundles and the best first offer for new customers. And the top five shift. Re-rank every quarter to keep money on what works now.

3. One warning before you act

The worst mistake is culling a product still finding its buyers. A new launch needs a real test: real ad spend, real reach, six to twelve months. Some products are ‘on the bubble’, not clearly winning or losing. Give them a fair test. Do not confuse untested with unwanted.

Do not go all-in on today’s winners. Keep a rough 80/20 rule. About 80% of cash and attention behind proven winners. 20% for new launches. All-in on the current five: you stand still. All-in on new bets: you scatter.

4. Frequently asked questions

What if my top five are commodity products with thin margins?

Back them anyway, they pull customers into your brand. Then work the margin. Audit their landed cost for freight and duty savings. Attach higher-margin products in bundles. The worst move: starve a winner people want to protect a product nobody buys.

Should I still launch new products, or just double down?

Both. The 80/20 split lets you cash in today’s winners and still build tomorrow’s. Tastes shift and rivals copy bestsellers. With no test pipeline, today’s top five is your ceiling.

How do I tell a bubble product from a dud?

Two questions. Has it had a fair test, real ad spend, real reach, enough time? And what do customers say? Strong reviews and repeat buys at low volume: a marketing problem you can fix. Weak reviews and no repeat buys: a product problem you cannot. Cull the second. Test the first.

Does this work on Amazon too?

Yes, same idea. Send deeper inbound stock on your top five, Amazon punishes listings that go dark. Point Sponsored Products spend at the winners, not the whole catalog.

5. Quick reference: what to avoid and apply

What to avoid

  • Treating the catalog like a democracy, equal cash and attention for every product.
  • Letting winners stock out while the tail sits on months of stock.
  • Running one big catalog ad campaign instead of backing proven winners.
  • Culling a new launch before it has a real test.
  • Going all-in on today’s winners with nothing held back for the next.

What to apply

  • Rank every product by Gross Profit dollars over the last 120 days.
  • Check the top five for stockout signals during peak weeks.
  • Move freed tail cash into 90 to 120 days of cover on the winners.
  • Point ad spend and bundle offers at the top five.
  • Hold 20% back for new launches, and re-rank every quarter.

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Definitions, modeling notes & rate-basis disclosures

Definitions

The six profit levers
(1) Discounts, (2) Refunds, (3) Product cost (landed COGS), (4) Sales channel and payment fees, (5) Shipping and 3PL fees, (6) Advertising spend.
Stock Keeping Unit (SKU)
One product listing. Every flavor and format is its own SKU.
Landed Cost of Goods Sold (COGS)
The full cost of one unit in your warehouse: factory price plus freight, duty, and clearance. $40 on every $100 product here.
Gross Profit
Selling price minus landed COGS: $60 on every $100 product here.
Contribution per order
Selling price minus all six costs. At house rates, $10 per $100 order.
Days of stock cover
Units on hand divided by average daily units sold.
Stockout
Selling out before the next reorder lands, capping demand on a product you paid to promote.

Modeling notes

  • This article uses the series’ standard teaching store: $100 price, landed COGS $40, discount $10, advertising $20, shipping and 3PL $12, refunds $5, fees $3, leaving $10 contribution per order. The ranking runs on Gross Profit ($60 per unit) and speed.
  • Reconciliation: top 5 sold 4,000 units in 120 days (33 a day) with 2,000 on hand, 60 days of cover, 4,000 × $60 = $240,000 Gross Profit, stock cash $80,000. Other 25 sold 5,000 (42 a day) with 7,500 on hand, 180 days, $300,000 Gross Profit, stock cash $300,000. Per stock dollar: $3 vs $1 per 120 days.
  • Payoff: $50,000 buys 1,250 units. At 2 turns a year it sells about 2,500 units (× $10 contribution = $25,000). At 6 turns, about 7,500 ($75,000). The gain assumes winners are capped by stock and the moved cash sells at their speed.
  • The shape (about 30 active SKUs, 5 carrying roughly 44% of profit) follows a real sports nutrition audit. Dollars restated on the house card.

Rate-basis disclosures

  • Every product at the house card: $100 price, $40 landed COGS, $60 Gross Profit; $10 contribution per order.
  • Catalog: 30 active SKUs. Top 5 = 17% of the catalog, 44% of units and Gross Profit over 120 days.
  • Stock turns: about 6 a year on the top 5 (365 ÷ 60 days of cover) and about 2 on the tail (365 ÷ 180).
  • The move: $50,000 of stock cash buys 1,250 units at $40.
  • All figures in US dollars, rounded to whole dollars.