Case Study
Listing Engineering
Scaling Conversion Performance Through Structured Listing Engineering
Client: Amazon Brand (Multi ASIN Portfolio)
Revenue Increase
+29%
Units Sold Increase
+15.8%
AOV Increase
+29.4%
Indexing Coverage
Improved
Conversion Performance
Improved
Key Results at a Glance
- Revenue increased by 29% in 30 days
- Units sold increased by 15.8%
- Average Revenue Per Order increased by 29.4%
- Improved marketplace visibility and indexing coverage
Performance Gallery
Challenge
The brand had solid products but lacked a structured content and keyword framework, resulting in inconsistent sales and conversion rates below category benchmarks.
- Weak indexing for primary keywords
- Low conversion rate
- Generic product imagery
- Poor keyword placement
- No systematic testing process
Solution
We implemented a performance driven listing engineering framework focused on indexing strength, conversion lift and structured testing.
Our Strategy
1. High Volume Keyword Mapping
- Mapped high volume and high intent terms by ASIN
- Improved indexing coverage for priority keywords
2. Conversion Psychology Based Copywriting
- Refined titles and bullets for buying intent
- Reworked product descriptions for clarity and persuasion
3. Visual Hierarchy Improvement
- Upgraded product imagery
- Improved visual flow to highlight key selling points
4. Structured A/B Testing
- Implemented repeatable testing across titles, images and content blocks
5. Pricing Competitiveness Analysis
- Benchmarked pricing versus category competition
- Aligned pricing strategy with conversion and margin goals
Results Summary
- Revenue increased by 29% in 30 days
- Units sold increased by 15.8%
- Average Revenue Per Order increased by 29.4%
- Improved marketplace visibility and indexing coverage
- Conversion performance became more consistent across the portfolio
"A structured listing engineering system turned inconsistent performance into measurable and repeatable growth."