Automated competitive analytics, conversion rate benchmarks, ad spend efficiency (TACOS), and profit leakage detection for Amazon SP-API, Shopify & DTC brands.
Integrated with Enterprise-Grade API Architecture
Select your product niche and store parameters to calculate your percentile score and reveal hidden profit leakages in real-time.
Top 18% in Beauty & Personal Care
Explore how top Amazon aggregators and Shopify DTC brands monitor listing conversion rates, ad waste, and Buy Box velocity.
Monthly tracking against 1,240 verified peer brands in Beauty & Skincare ($1M - $5M GMV)
Traditional analytics tell you *what* happened. SellerBenchmark tells you *where you are losing market share* to competitors.
Compare your store against exact revenue brackets ($500k, $2M, $10M+) and ultra-specific micro-categories.
Automatically detect unoptimized PPC keywords, high return rate anomalies, and out-of-stock lost margin.
Track price elasticity and competitor repricing strategies to maximize gross margin without sacrificing rank.
Gemini-powered recommendation engine generates step-by-step optimization action items prioritized by ROI impact.
Trained on billions of dollars in Amazon SP-API & Shopify order data, our AI copilot analyzes your exact metrics and delivers instant strategic solutions.
Choose the plan that fits your store revenue. 14-day free trial on all plans. No setup fee.
Perfect for growing Amazon or Shopify sellers under $500k ARR.
Designed for multi-brand DTC portfolios and scaling Amazon sellers.
For Amazon aggregators, brokers, and multi-store holding companies.
"SellerBenchmark pinpointed that our Amazon conversion rate was 1.4% below our cohort average in Supplements. Fixing main image tiles boosted overall revenue by $34,000 in our first month."
"As an aggregator holding 18 brands, we needed cohort benchmarking. SellerBenchmark allows us to instantly flag which brands have high TACOS profit leakage without manual spreadsheet audits."
"The AI Copilot feature alone is worth 10x the monthly price. It breaks down complex Amazon SP-API data into 3 actionable steps every Monday morning."