A store owner showed me his product catalog with a mixture of pride and exhaustion. Two hundred and forty products. He had built it up over several years, adding new items steadily.
The exhaustion was understandable once he described his workload. Photography for all of them. Written descriptions for all of them. Inventory management for all of them. Every product received essentially equal attention because he had never established a reason to treat any of them differently.
I asked him to pull his sales data for the previous year. Then we sorted it by revenue contribution, largest to smallest.
Eleven products accounted for most of his revenue. Eleven out of two hundred and forty.
He sat with that for a moment. He had been spending roughly the same energy on a product that sold twice a year as on a product that sold twice a day. His effort was distributed evenly across a catalog where results were distributed anything but evenly.
This is the 80/20 problem in e-commerce. The interesting part is not that the imbalance exists. Most people have heard of the Pareto principle. The interesting part is that most store owners have never actually looked at their own numbers, so they have no idea where their concentration sits or how extreme it is.
Why Most Store Owners Never Look
The failure to examine concentration is not laziness. It comes from a few understandable causes worth naming.
Adding is more comfortable than examining. When a business feels stuck, the instinct is to add something new. A new product. A new channel. A new tactic. Examining what you already have carries the risk of discovering that much of it is not working, which is uncomfortable.
Everything feels necessary from the inside. Each product was added for a reason. Each marketing activity was started with intent. Looking at the catalog, the store owner remembers why every item exists. That memory makes everything feel justified regardless of what it currently produces.
There is also the sunk cost problem. The photography was expensive. The inventory was purchased. The marketing channel took months to set up. Acknowledging that these produce little means acknowledging that the investment did not pay off.
This connects to a pattern I see repeatedly in e-commerce. Store owners look for what to add when they should be looking at what to fix or remove. The instinct runs consistently in the wrong direction.
The Exercise Takes Minutes
The remarkable thing about finding your concentration is how simple it is. This is not sophisticated analysis requiring specialized tools.
Export your sales data for a meaningful period, ideally a year to smooth out seasonality. Sort by revenue contribution. Look at where the cumulative total reaches the majority of your revenue. Count how many products it took to get there.
That count is your vital few. Everything below it is your trivial many, in the language of the original principle.
Do the same for profit rather than revenue, because they often differ. A high revenue product with thin margins may contribute less profit than a lower revenue product with strong margins. Profit contribution reflects business reality better than revenue alone.
The whole exercise takes minutes once you have the data. This is why the failure to do it is striking. It is not effort that prevents store owners from knowing their concentration. It is simply never thinking to look.
What The Numbers Told Him To Do
Once the store owner saw his eleven products, the decisions became obvious in a way they had not been before.
Those eleven products deserved substantially better treatment than they were receiving. Better photography. Better written descriptions. Dedicated advertising budget. Prominent placement on the site. They were carrying the business while receiving the same generic attention as products that sold almost nothing.
Improving the pages for high performing products has outsized impact precisely because those pages already receive the most traffic and generate the most sales. A conversion improvement on a top product produces far more revenue than the same improvement on a product nobody views.
The bottom half of the catalog looked entirely different once examined. Those products were consuming inventory capital that could be deployed elsewhere. They occupied storage space. They demanded periodic attention for reordering, photography updates, and description maintenance. And they produced almost nothing.
Most of that bottom half could simply go. Not because the products were bad, but because keeping them cost more than they returned.
The Pattern Extends Beyond Products
The uncomfortable realization is that this concentration applies to nearly everything in your business, not just your product catalog.
Your traffic sources almost certainly show concentration. A small number of channels probably drives most of your qualified traffic while others produce visitors who never convert. Most store owners maintain presence across many channels without ever examining which ones actually deliver.
Your customers show concentration too. A subset of your customer base likely accounts for a disproportionate share of your profit. Understanding which customers are genuinely valuable changes how you think about acquisition, because you should be trying to acquire more of the profitable segment rather than more customers generally.
Your marketing activities show it as well. A few things you do are producing most of your results. The rest exist largely because you started them once and never stopped. Nobody ever conducted a review to decide whether they were still worth continuing.
Even your time shows the pattern. A small portion of your working hours produces most of your business value. The rest goes to activity that feels productive but moves nothing meaningfully forward.
Most store owners cannot name their vital few in any of these categories, because they have never looked. And you cannot concentrate effort on something you have not identified.
Why Acting On It Is The Hard Part
Finding the twenty percent is easy. Sorting a spreadsheet takes minutes, as established. The genuine difficulty comes afterward.
Acting on the finding means cutting things. That is what concentration requires. You cannot give more attention to your top products without taking attention from something else. The math is unavoidable.
Cutting means discontinuing products you were attached to. Some of those low performers have personal significance. You were excited when you launched them. You believed in them. Removing them feels like admitting failure.
It means ending marketing activities you spent real time building. That channel took months to establish. There is a natural resistance to abandoning something you invested in, even when the data clearly shows it produces little.
It means saying no to customer segments that consume more than they return. Some customers demand extensive support, request frequent exceptions, and generate returns while spending modestly. Declining to pursue more of them feels wrong even when the economics are clear.
This is the same discipline that separates focused businesses from scattered ones. Focus is not primarily about choosing what to do. It is about accepting what you will not do, which is considerably harder.
What Concentration Actually Produced
We cut his catalog by more than half. Everything that survived the cut received meaningfully more investment. Better photography for the top products. Rewritten descriptions. Advertising budget concentrated on proven performers rather than spread across everything.
Revenue went up. This surprised him, because intuition suggests that fewer products should mean less revenue. But the products he removed were contributing almost nothing, while the products that remained now had the attention needed to perform better.
Workload went down substantially. Managing eleven priority products plus a modest supporting range is dramatically simpler than managing two hundred and forty. He had time to think again.
And notably, nothing new was added. The entire improvement came from redistribution of existing effort rather than from additional investment. This is what makes concentration such an efficient lever. It costs nothing but the willingness to cut.
Freed capacity is often the underrated benefit. The time recovered from managing dead inventory went into improving the products that mattered, which compounded the effect.
How KolachiTech Uses This Exercise
At KolachiTech, one of the most valuable exercises we run with clients is deceptively simple. We sort their data by contribution.
We do it for products, looking at both revenue and profit to see where the real value sits. We do it for traffic sources, examining not just volume but conversion and revenue per channel. We do it for customer segments where the data allows. We look at marketing activities against results.
The imbalance is almost always more extreme than clients expect. They anticipate something like the classic eighty twenty split and discover their concentration is considerably tighter than that. A handful of products, one or two channels, a narrow customer segment.
This exercise usually reshapes priorities immediately. Once someone sees that eleven products carry their business, the argument for treating all two hundred and forty equally collapses on its own. We rarely have to persuade anyone. The data does the persuading.
We then help direct effort toward the identified concentration and build the measurement habit that keeps it visible. Concentration shifts over time, so this is not a one time exercise. It is a lens worth applying periodically.
The Principle Worth Carrying Forward
The instinct when a business is not growing fast enough is to add something. More products to sell. More channels to appear on. More tactics to try. Adding feels like progress because it produces visible activity.
But most stores are not underperforming because they lack options. They are underperforming because their finite attention is spread so thinly across existing options that nothing receives enough to excel.
Before you add anything new, find out what is already working and give it more. That reallocation costs nothing and frequently produces more improvement than any addition would.
#EcommerceStrategy improves fastest when you concentrate effort deliberately instead of spreading it evenly across everything. #BusinessGrowth comes from doubling down on what demonstrably works rather than from continuously adding new things. #DataDrivenDecisions start with actually knowing where your revenue and profit genuinely come from.
Most stores do not need more. They need less, done considerably better.
Frequently Asked Questions
Q1. How do I find my top performing products? Export sales data for a full year, sort by revenue contribution, and identify how many products account for the majority of the total. Repeat the sort using profit rather than revenue, since the two often produce different rankings.
Q2. Should I remove all my low performing products? Not necessarily all. Some serve strategic purposes like completing a range or attracting first purchases. But most low performers exist only through inertia and consume capital, space, and attention that would produce more elsewhere.
Q3. Does the concentration always follow an eighty twenty split? No. Eighty twenty is a rough heuristic rather than a rule. Real businesses often show tighter concentration, where a much smaller fraction drives the majority of results. Measure your own rather than assuming the ratio.
Q4. What else besides products should I analyze this way? Traffic sources, customer segments, marketing activities, and your own time. Concentration appears throughout a business. Each area you examine typically reveals opportunities to reallocate effort toward higher returns.
Q5. Why is cutting so difficult even with clear data? Sunk cost and emotional attachment. Products you launched with excitement and channels you spent months building resist removal even when they produce little. The data is easy; accepting what it implies is not.
Q6. Will cutting products reduce my revenue? Usually not, if you cut genuine low performers and redirect the freed effort into top products. The removed items contributed little, while the remaining ones perform better with increased attention.
Q7. How often should I run this analysis? At least annually, and after any significant change to your catalog or marketing. Concentration shifts as products mature and channels evolve, so a single analysis becomes outdated over time.
Q8. What if my concentration analysis shows even distribution? That is unusual and worth investigating. It may mean your data period is too short, your catalog is very small, or your measurement is incomplete. Genuine even distribution across many products is rare in practice.