Real examples of how Fyndability transformed product detail pages, turning invisible products into top search results.
Case Study 1 — Food & Beverage Brand
Challenge: A mid-size CPG brand with 200+ SKUs was struggling with low search visibility across Walmart, Target, and Amazon. Product descriptions were generic, attributes were incomplete, and content was inconsistent across retailers.
Title: “Premium Organic Snack”
Attributes: Missing dimensions, incomplete nutrition info
Description: “High quality organic snack perfect for your family”
Findability Score: 42%
Title: “Organic Gluten-Free Granola Bars, 12-Count, 1.2oz Each, Non-GMO, Kosher Certified”
Attributes: 1.2oz/bar, 12-count, gluten-free, non-GMO, kosher, organic certified
Findability Score: 78% (+36 points)
Results: Search visibility increased 28% within 3 weeks. Conversion rate improved 35%. The brand moved from page 3 to page 1 for key search terms.
Case Study 2 — Home & Garden Brand
Challenge: A home improvement brand with 150 SKUs was losing sales to competitors despite superior products. Their PDPs lacked retailer-specific optimization and semantic attributes.
Title: “Garden Tool Set”
Attributes: Missing material, dimensions, weight
Findability Score: 38%
Title: “Stainless Steel 3-Piece Garden Tool Set with Ergonomic Handles, Rust-Resistant, 12" Trowel, 14" Transplanter, 16" Cultivator”
Attributes: Stainless steel, rust-resistant, ergonomic handles, 3-piece set, specific dimensions per tool
Findability Score: 82% (+44 points)
Results: Findability score increased 44 points. Sales increased 42% over 8 weeks. The brand now ranks #1 for “stainless steel garden tools” on major retailers.
Case Study 3 — Health & Personal Care
Challenge: A wellness brand with 80 SKUs had inconsistent content across retailers. Walmart had different attributes than Target, which had different copy than Amazon. Inconsistency hurt their overall findability.
Solution: Fyndability created retailer-specific content packages while maintaining semantic consistency.
Results:
- Walmart findability: 45% → 76% (+31 points)
- Target findability: 52% → 81% (+29 points)
- Amazon findability: 58% → 84% (+26 points)
- Overall brand findability: 51% → 80% (+29 points)
Common Patterns
- Complete attribute coverage — every successful transformation included 100% attribute completion with semantic language.
- Retailer-specific optimization — content tailored to each retailer’s search patterns.
- Semantic language — copy that matches how customers actually search.
- Consistent quality — same high-quality content across all retailers.
- Ongoing monitoring — continuous tracking and correction of content drift.