The Best Sellers algorithm surfaces your top-performing products—those with the highest sales volume and revenue over a recent period. By showcasing proven favorites, you build trust, leverage social proof, and drive additional conversions across your storefront.
Recommended Placements

Home Page : Showcase the site-wide best sellers to new visitors.

Category Pages : Highlight top-selling items within each category (e.g., “Top-Rated Boots”).

Product Pages : Display “Best Sellers” in the same category to encourage cross-selling.

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How It Works

  1. Sales Data Aggregation
    Continuously ingests transaction records to track purchase frequency, quantities sold, and total revenue per SKU.
  2. Time-Window Analysis
    Applies a configurable look-back period (e.g., 7, 30, or 90 days) so that best sellers reflect current buying trends.
  3. Contextual Scoping
    • Global: Ranks the entire catalog.
    • Category: Limits to items within the current category context.
    • Product Page: Recommends other best-selling items related by category or tag.
  4. Dynamic Updating
    Automatically refreshes rankings in real time as new sales occur, ensuring recommendations stay up-to-date.

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Supported Rule Types

  • Global
  • Home Page
  • Category
  • Product

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When to Use

  • Boost Social Proof: Leverage proven favorites to reassure shoppers and reduce decision fatigue.
  • Engage New Visitors: For users with no history, best sellers provide a strong starting point.
  • Seasonal Campaigns: Align “Best Sellers” with seasonal collections (e.g., “Summer Best Sellers”).

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Example

A shopper views a Sofa product page:
  1. The Best Sellers widget displays the top 6 sofas by sales volume over the last 30 days.
  2. As the customer browses, real-time sales updates ensure the list reflects any new top performers.
By highlighting your most popular items, you tap into collective buying behavior—driving trust, engagement, and incremental revenue.