Table of Contents

What visual merchandising tools do

  • Drag-and-drop category page ordering. Merchandisers reorder products without engineering.
  • Pinned positions and pinned products. Lock specific products to position 1, 2, 3 across categories.
  • Visual preview. See the page exactly as the shopper will, before publishing.
  • Banner and tile placement. Mix product tiles with editorial tiles in the result feed.
  • Schedule changes. Push category page changes for a specific date and time.

Five visual merchandising tools worth shortlisting

Clerk.io

Visual merchandising integrated with AI ranking. Merchandisers drag-and-drop on top of the AI baseline, mix pinned positions with algorithmic ranking. Same engine handles search results, category pages, and recommendations.

Searchspring

Strong mid-market visual merchandising with merchandiser-controlled ordering and rules.

Klevu

Marketer-operable category page ordering with AI ranking layered underneath. Trade-offs on the Klevu alternative page.

Nosto

Polished visual editor for category pages and onsite blocks. Trade-offs on the Nosto alternative page.

Bloomreach Discovery

Enterprise visual merchandising with deep category page controls. Trade-offs on the Bloomreach alternative page.

How to evaluate visual merchandising tools

  • Drag-and-drop responsiveness. The editor should feel fast.
  • Pinning vs ranking interaction. When you pin three products to the top, what does the algorithm do with positions 4-onwards?
  • Preview accuracy. Does the preview match the live experience exactly?
  • Scheduling and versioning. Can you schedule a category change for Friday morning?
  • Per-rule attribution. Revenue lift measured per pinned-position change.

TL;DR

  • Visual merchandising is what online retail borrowed from physical stores: arrange the shop visually to drive purchase intent.
  • Clerk.io, Searchspring, Klevu, Nosto and Bloomreach Discovery are commonly evaluated for visual merchandising.
  • Evaluate on drag-and-drop responsiveness, pinning vs ranking interaction, preview accuracy, scheduling, and per-rule attribution.
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