Product Ranking Diagnostics

Diagnose Why Products Rank Where They Do

Product performance diagnostics reveal the hidden factors driving your search rankings and category placements. When a pair of boxers shows up in hat searches or a dress appears in your cap category, you need visibility into the “why” behind these placement decisions. This diagnostic capability helps you catch categorical errors, fix description issues, and ensure products appear exactly where customers expect to find them.

Channel

Products:

Autonomous Search

Industries:

B2B Ecommerce Hospitality & Restaurants Retail Travel & Transporation

Goal:

Acquire Customers

Metrics:

Conversion Rate Revenue

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Why Merchandisers Use Bloomreach for Product Performance Analysis

Merchandisers struggle with products appearing in irrelevant search results and categories, hurting conversion rates and customer experience. You need to understand what’s driving specific product rankings to fix categorization errors and optimize placements. Bloomreach Discovery provides transparent diagnostics that show exactly why products rank where they do, enabling you to quickly identify and resolve issues that impact customer discovery and purchase decisions.

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Diagnostics

Understand How Product Performance Influences Rankings

Utilize diagnostics to understand why a product is included in your result set, and determine what factors are driving its ranking. For example, you can identify that a pair of boxers was incorrectly categorized, causing it to show up for “hat” search terms, then dig into why the product appeared in the wrong category. Catch errors when irrelevant products appear on your category pages.

How It Works

Run diagnostic analysis on specific product placements to understand ranking factors and identify potential categorization issues.

Review detailed insights showing why products appear in specific search results or category pages, including attribute analysis.

Identify categorical errors, such as dresses tagged with “cap sleeves” appearing in wrong categories.

Implement fixes to product data, categories, or descriptions based on diagnostic insights to improve relevancy and customer experience.

Target Audience for Product Ranking Optimization

Ecommerce merchandisers and product managers at retail brands with large product catalogs who need to optimize search relevancy and category performance. Particularly valuable for fashion retailers, furniture stores, electronics brands, and any business where incorrect product categorization significantly impacts customer discovery and conversion rates.