• Missing sales data might be affecting score calculation – products with no recent sales will score lower in the sales factor
• Products may lack the tags or categories that are weighted heavily in your current configuration
• Custom fields that contribute to scoring might be empty or have invalid values for these products
• Stock levels might be negatively impacting scores if you’ve configured low stock to reduce ranking
• The product might be relatively new with limited performance history and you haven’t given boost to new products with the relevant slider
• Check if these products fall into a category that you’ve accidentally de-prioritized
• Products with incomplete data (missing images, short descriptions, etc.) might be penalized in some scoring factors
• Seasonal products might temporarily score lower outside their peak season
• Check for data entry errors in product attributes that affect scoring
• A recent configuration change might have shifted weightings away from these products’ strengths

To diagnose specific cases, use the Product Score Preview in the WooRanker dashboard to see a detailed breakdown of each factor’s contribution to the final score. This will help pinpoint exactly which components are causing the unexpectedly low overall score.