Ecommerce Merchandising: Why Your Store Layout Is Losing You Sales

Ecommerce merchandising is the practice of presenting products in ways that make buying easier, more intuitive, and more commercially effective. Done well, it shapes what customers see first, what they consider next, and how confidently they move toward a purchase. Done poorly, it leaves revenue sitting quietly on the table while you spend more on acquisition trying to compensate.

Most ecommerce teams underinvest in merchandising relative to what it returns. Traffic is expensive. Converting the traffic you already have is not.

What Does Ecommerce Merchandising Actually Cover?

The term gets used loosely. Some teams treat it as a synonym for promotions. Others conflate it with UX design. Neither is quite right.

Merchandising in ecommerce covers the decisions that shape how products are discovered, presented, and contextualised across the entire shopping experience. That includes category architecture, product sequencing on listing pages, search result ranking logic, homepage feature slots, cross-sell and upsell placement, product detail page layout, and how promotions are surfaced without eroding margin.

It is, in short, the commercial layer of your store. And it sits between your marketing driving traffic and your checkout processing orders. If that layer is weak, you are pouring water into a leaky bucket and calling it a growth strategy.

This connects directly to how go-to-market thinking should inform ecommerce execution. If you are building out a broader growth strategy, the Go-To-Market and Growth Strategy hub covers the upstream decisions that merchandising should be aligned with.

Why Most Ecommerce Stores Are Merchandised by Default, Not by Design

I have worked across a lot of ecommerce accounts over the years, and the pattern is consistent. When a store launches, the platform default settings handle product sorting. Bestsellers float to the top because the algorithm rewards sales volume. New products get buried. Margin-rich items nobody has bought yet sit on page three of a category where no customer ever scrolls.

Nobody made a bad decision. They just never made a deliberate one.

The result is a store that optimises for what has already sold rather than what the business needs to sell. That is a subtle but commercially significant difference. A volume-weighted sort surfaces your cheapest, most-returned, lowest-margin products because those tend to have the most historical transaction data. Your best commercial opportunities, the products with strong margins, high customer lifetime value, or strategic importance to the range, never get the visibility they need to build momentum.

I spent a long time earlier in my career overvaluing lower-funnel performance signals. The metrics looked clean. Conversion rates, return on ad spend, cost per acquisition. But I was measuring how efficiently we were capturing people who were already going to buy, not whether we were actually growing the business. Ecommerce merchandising has a similar trap. Sorting by bestsellers feels rational. It rewards proven products. But it also calcifies your range, suppresses new products, and makes it structurally difficult to shift the mix toward where your margin actually lives.

Category Architecture: The Foundation Most Teams Skip

Before you think about which products appear where, you need to think about how your categories are structured. This is the part of ecommerce merchandising that gets the least attention and causes the most downstream problems.

Poor category architecture creates three specific problems. First, customers cannot find what they are looking for, so they leave. Second, products end up miscategorised or duplicated, which creates internal search conflicts and SEO cannibalisation. Third, your merchandising decisions become inconsistent because there is no coherent commercial logic underpinning the structure.

Good category architecture starts with how customers think about your products, not how your buying team or warehouse organises them. These are often very different things. A customer shopping for running shoes does not think in terms of your supplier segmentation. They think in terms of surface, distance, foot type, or price. Your category structure should reflect that mental model, not your internal one.

This sounds obvious. It is surprisingly rare in practice. I have reviewed ecommerce stores where the navigation structure was a direct copy of the wholesale catalogue, which was itself organised around supplier relationships from fifteen years ago. The store had been live for three years. Nobody had questioned it.

Product Sequencing: The Commercial Logic Behind What Goes First

Once your categories are structured correctly, the next question is sequencing. What appears in position one on a category page matters. Positions one through four on a listing page capture the majority of clicks. Everything below the fold is competing for the remainder.

There is no single correct sequencing rule. The right logic depends on your commercial objectives, your margin profile, your stock position, and your customer acquisition context. But there are a few principles worth holding onto.

First, never let the default sort do your merchandising for you. Whether that is bestsellers, newest arrivals, or alphabetical, platform defaults are not commercial strategies. They are starting points. Override them with intent.

Second, build a scoring model that blends multiple signals. Conversion rate matters, but so does margin, stock depth, return rate, and strategic importance. A product with a 4% conversion rate and a 60% margin is more valuable to surface than a product with a 6% conversion rate and a 20% margin. Your sort logic should reflect that.

Third, treat sequencing as a dynamic decision, not a set-and-forget one. Seasonal shifts, promotional cycles, and range changes all affect what should be prioritised. Build a review cadence into your operations. Monthly is a reasonable minimum for most stores. Weekly for high-volume categories.

Search Merchandising: The Most Underused Lever in Ecommerce

On-site search is where a large proportion of your highest-intent customers go first. They know what they want. They are typing it in. And yet most ecommerce teams spend almost no time on search merchandising.

The problems here are predictable. Zero-result searches that should be returning products. Misspelling tolerance that is too narrow. Synonym mapping that does not exist. Search result pages that surface the wrong products because the relevance algorithm is not calibrated to commercial intent.

A customer who uses your search function is telling you exactly what they want. If your search cannot serve them well, they leave. That is not a traffic problem. It is a merchandising problem, and it is entirely within your control to fix.

Start with your zero-result and low-result queries. Pull the data. Look at the top search terms that return no results or fewer than three products. These are your highest-priority gaps. Either you have the product and it is not being surfaced correctly, or you do not have it and you have just identified a range gap worth investigating.

Then look at your highest-volume search terms and audit the result pages manually. Does what appears make commercial sense? Are the right products in the top four positions? Is there anything in the results that should not be there? This kind of manual audit takes a few hours and routinely surfaces significant revenue opportunities. Tools like SEMrush’s growth toolkit can help you understand search intent patterns if you want to cross-reference internal search data with broader keyword behaviour.

Product Detail Pages: Where Merchandising Meets Conversion

The product detail page is where the merchandising decision and the conversion decision meet. Most ecommerce teams treat PDP optimisation as a copywriting or UX task. It is both of those things, but it is also a merchandising task.

Three merchandising decisions on the PDP have direct commercial impact.

The first is cross-sell placement. What you show alongside a product, and where you show it, affects both conversion and average order value. “Frequently bought together” modules work when the logic is genuinely complementary. They fail when they are algorithmically generated without editorial oversight and surface irrelevant or competing products.

The second is upsell logic. If a customer is looking at a mid-range product, showing them a higher-specification alternative at a modest price increment is sound merchandising. Showing them a product that is three times the price with no contextual bridge is not. The upsell needs to be credible and the value difference needs to be clear.

The third is variant presentation. How you present size, colour, or configuration options affects both conversion and returns. Unclear variant labelling, buried size guides, and poor image coverage of non-default variants all suppress conversion and inflate return rates. Neither of those outcomes is acceptable when the fix is straightforward.

Understanding how customers actually interact with your PDPs is where behavioural analytics tools become valuable. Hotjar’s session recording and heatmap capabilities can show you precisely where attention drops off and where friction accumulates on individual product pages.

Promotions and Merchandising: Keeping Commercial Logic Intact

Promotions are where merchandising discipline tends to break down fastest. The pressure to hit a short-term revenue number leads to discounting decisions that undermine the medium-term margin position, and to promotional placements that crowd out the products you actually want to sell.

I have seen this play out more times than I can count. A sale event gets planned. The promotional banner takes over the homepage. The category pages get reorganised around discounted stock. The products with genuine margin, the ones the business needs customers to discover and love, get pushed off the page for two weeks. Traffic spikes. Revenue spikes. Margin craters. And then the sale ends and you are back to where you started, except now your customer base has a slightly lower price expectation.

The better approach is to treat promotional placement as a deliberate merchandising decision rather than a blanket override. Promotional products should get elevated visibility in relevant contexts. They should not displace your core range from every entry point in the store. You can run a sale and still maintain commercial discipline in your merchandising hierarchy. Most teams just do not try.

This is also where understanding the broader commercial context matters. BCG’s work on go-to-market strategy consistently points to the importance of aligning commercial execution with customer need states rather than internal sales cycles. Promotions should be timed and positioned around when customers are most receptive, not just when the business needs a revenue lift.

Personalisation in Merchandising: What Is Worth Doing and What Is Not

Personalisation is the area of ecommerce merchandising that attracts the most vendor attention and, in my experience, produces the most variable results.

The promise is straightforward. Show each customer products that are relevant to their behaviour, preferences, and purchase history, and you will convert more of them. In principle, this is correct. In practice, the quality of personalisation varies enormously depending on the data you have, the size of your customer base, and how well the underlying models are calibrated.

For stores with large, well-segmented customer bases and rich behavioural data, personalisation at the category and search level can deliver meaningful uplift. For smaller stores, or stores where the customer data is thin, personalisation often produces results that are barely distinguishable from a well-configured static sort. The infrastructure cost and operational complexity rarely justify the incremental gain at that scale.

My general position: get your foundational merchandising right first. Category architecture, sort logic, search configuration, PDP cross-sell. These are deterministic improvements that compound. Personalisation is a multiplier on a foundation. If the foundation is weak, the multiplier does not help much.

The same logic applies to broader growth strategy decisions. Vidyard’s analysis of why go-to-market feels harder touches on a related point: teams often reach for sophisticated solutions before the fundamentals are solid, and then attribute underperformance to the wrong variables.

How to Build a Merchandising Review Process That Sticks

The operational gap in most ecommerce merchandising programmes is not strategy. It is cadence. Teams do a big audit, make improvements, and then let the store drift back toward defaults over the following months because nobody owns the ongoing review.

A functional merchandising review process does not need to be complicated. It needs to be consistent.

At a minimum, build in a monthly category review that looks at conversion rate by category, average order value, and margin mix. Flag any categories where the top-four products have changed significantly from the previous month and review whether that change reflects commercial intent or algorithmic drift.

Run a quarterly search audit. Pull your zero-result queries, your top-volume queries, and your highest-exit search result pages. Address each systematically. This single habit, run consistently, will surface more actionable insight than most paid analytics programmes.

Build a pre-promotion checklist that requires sign-off on merchandising placement before any sale event goes live. What gets featured? What gets deprioritised? What is the plan for restoring the standard sort after the event ends? These decisions should be made in advance, not improvised on the day.

And assign clear ownership. Merchandising sits awkwardly between trading, marketing, and ecommerce operations. In my experience, when it sits between functions, it belongs to nobody. Name a person or a team. Give them authority to make sort decisions without needing cross-functional sign-off for every change. Speed of iteration matters in merchandising.

If you want to connect your merchandising programme to a broader commercial growth framework, the articles in the Go-To-Market and Growth Strategy hub cover how to align execution-level decisions with strategic objectives, which is the context that makes merchandising choices genuinely defensible rather than just locally optimised.

The Measurement Problem: What to Track and What to Ignore

Ecommerce merchandising is measurable, but it is easy to measure the wrong things and draw the wrong conclusions.

Click-through rate on a featured product tells you about visibility and relevance. It does not tell you whether featuring that product was a good commercial decision. A product with a high click-through rate and a high return rate may be doing more damage than good. Conversion rate on a category page tells you about the quality of the product selection and the clarity of the presentation. It does not tell you about margin or lifetime value.

Build your merchandising measurement around commercial outcomes, not engagement proxies. Revenue per visitor by category. Margin per transaction by entry point. Return rate by product position. These metrics connect merchandising decisions to business outcomes in a way that click rates and impression shares do not.

And be cautious about A/B testing as the primary mechanism for merchandising decisions. Testing is valuable, but it has a latency problem. The time it takes to reach statistical significance on a sort change is often longer than the commercial window in which the decision matters. Develop enough commercial judgment to make confident calls without always needing a test to validate them. Testing should confirm your hypotheses, not replace your thinking.

There is useful context in SEMrush’s breakdown of growth approaches on how teams that move quickly tend to build judgment frameworks rather than relying purely on testing infrastructure, which slows decision velocity without always improving decision quality.

About the Author

Keith Lacy is a marketing strategist and former agency CEO with 20+ years of experience across agency leadership, performance marketing, and commercial strategy. He writes The Marketing Juice to cut through the noise and share what works.

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