Knowledge base
Practical e-commerce decisions backed by data
Short, practical guides for teams that want to make better decisions about product order, promotions and merchandising in an online store.
Featured guide
Start with product ranking
E-commerce product ranking: how to choose products worth showing higher?
How to use sales, views, profit and conversion to build a better product order in your store.
Read guide → Sales analysisE-commerce sales analysis: what data should an online store really track?
How to evaluate product sales through revenue, margin, conversion, views and stock to make better decisions.
Read article → Operational analyticsReal-time analytics and forecasting in e-commerce: from dashboard to action
How to reduce decision lag, connect data with action and use forecasts in product ranking, stock, pricing and campaigns.
Read article → Stock and turnoverDead stock in e-commerce: how to find products that freeze cash?
How to identify slow-moving products, evaluate inventory turnover and choose actions without automatically sacrificing margin.
Read article → Promotions and marginHow to choose products for promotion without burning margin?
A practical model for choosing promotional products using margin, conversion, stock, seasonality and campaign cost.
Read article → Product conversionWhy do products get many views but no sales?
How to diagnose price, images, copy, variants, delivery, trust and traffic fit problems.
Read article → ABC analysisABC analysis in e-commerce: classify products into A, B and C
How to organize assortment by revenue, profit, stock, conversion and impact on store performance.
Read article → MerchandisingHow to measure merchandising effectiveness in an online store?
Metrics for product order, categories, search, recommendations, exposure and profit per view.
Read article → Returns and profitabilityE-commerce returns: products that sell well but reduce profit
How to include return rate, handling costs, return reasons and margin after returns in product decisions.
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