Case Study: Large Competitive Seller achieves 10% increase in per-item profit margins with Feedvisor

Large Competitive Seller Increases Product Margins by 10%

Large Competitive Seller, a multi-channel retailer of leather-care products selling on Amazon, eBay and its own website, struggled with a rule-based repricer and limited micro-level business data. Needing better visibility into sales rank, velocity and product competitiveness, the company turned to Feedvisor’s algorithmic repricing and revenue intelligence solution to gain control of pricing and inventory decisions.

Feedvisor deployed algorithmic repricing with adjustable selling aggressiveness, a revenue intelligence dashboard, personalized reports and dedicated Customer Success support. As a result, Large Competitive Seller increased per-item profit margins by about 10%, improved customer satisfaction by 17%, reduced inefficiencies, and was able to sell fewer units at higher prices by identifying underperforming ASINs and optimal price points.