Merchandising & Offer Strategy
Same catalog, same traffic — different order and framing, different revenue.
Start a projectIdentical products, shown to identical visitors, sell at noticeably different rates depending on what’s featured first, how a bundle is framed, and whether a discount reads as a deal or as a signal to just wait for the next one. Most stores set merchandising once and leave it running on autopilot — a featured-collection default nobody revisits, a bundle assembled by guesswork, a promo banner copied from last year — while the underlying data about what actually sells keeps shifting underneath it, unnoticed and unused.
We rebuild collection sequencing and bundle construction from your own order data, tune pricing and promo presentation to protect margin instead of just triggering a short-lived spike, and place social proof where the decision is actually happening. Every change gets checked against order conversion and revenue per visitor, the same discipline we apply to any CRO work, rather than shipped on a hunch. The inventory stays exactly the same; what you choose to surface, and the framing you put around it, is what moves the number.
Built and run, end to end.
Collection sequencing that reflects what actually sells
Featured-product logic left on a default setting shows the same items regardless of what your data says about margin, sell-through, or seasonal demand. We rebuild the sequencing rules around your actual sales and inventory picture, so the first thing a shopper notices is a decision, not a default.
Bundles and offers built around real purchase patterns
A bundle guessed at from what looks good together underperforms one built from what customers actually buy together. We construct offers from your own order data, then test the framing — set price, savings shown, components — instead of assuming the first version is right.
Pricing and promotion presentation that doesn't erode margin
How a discount, a strikethrough price, or a promo banner is presented changes whether it moves units or just trains customers to wait for the next sale. We tune presentation to protect margin and brand position, not just to trigger a short-term spike.
Social proof placed where the decision actually happens
Reviews, ratings, and use-case proof only help if they show up at the moment someone is deciding, not buried below the fold. We place and format proof against the specific hesitation it's meant to answer, on the PDP and in collections alike.
Questions, answered.
How is merchandising different from the rest of CRO?
Merchandising is what you show and how you frame it — sequencing, bundles, pricing presentation, proof placement. The rest of CRO is more about mechanics — page structure, checkout flow, site speed. In practice the two overlap constantly, and we run them as one program rather than separate workstreams.
Can we discount without damaging the brand?
Yes, but the presentation matters more than the size of the discount. A promo framed around a clear reason — a seasonal event, a bundle, a loyalty threshold — reads differently than a constant sitewide sale, which trains customers to wait and erodes what full price means.
What makes a bundle actually work?
Bundles built from real co-purchase data outperform ones guessed from what looks complementary on a shelf. We construct bundles from your own order history, then test price framing and presentation rather than assuming the first version is the right one.
How do you measure whether a merchandising change worked?
The same discipline as any CRO test: we size the change, then look at whether it moved revenue per visitor and order conversion, not clicks on a banner. A featured collection can get more clicks and convert worse; we watch the number that actually pays you.