Surface insights for maximizing inventory ROI, optimizing sales strategy and increasing product profitability.Using key ecommerce metrics, understand product demand to plan successful campaigns. Instantly identify products to remove and new products to introduce for a healthy business. Enhance product performance utilizing pre-built clusters based on purchase and browsing behaviors. Witness faster product turnover when you start campaigning to the Right Customers for Each Product at the Right Discounting Level using Enalito’s in-built campaigning tool.
What Product Analytics Does Enalito Provide?
How well the store sells products currently vs. what is the future potential? Which products today contribute the maximum and what actions are needed to generate more revenue opportunities? Decide the best mix of catalog with insights on sale recency and frequency of orders. Strategize faster sell-off with Actionable Product Analytics and market to the interested buyers through automated campaigning.
Money Makers, Whales, and likes of these clusters give insights about the store’s highest-grossing products. The pre-built clusters also inform the changing sales-performance on the basis of purchase recency and revenues.
Refined Classification of the store’s At-Risk, Essential & Most Important Product Clusters guides you to make the best inventory and marketing decisions. For every dynamic behavioral cluster thus identified, Enalito also has the suggested campaigns in-built.
Most Important Products
KPIs For Each Cluster
Individual Product 360 ° Detail
Evaluate Products For Higher Marketing ROI
Drill down to each of the products sale performance and learn the type of response it receives from your customers. Know about its similar products and what other items were purchased along by the customers who have bought this product to up-sell and cross-sell.
Fine-tune campaigns that resonate profoundly with customers by clubbing all related information about a product’s demand, similar products, buyers and likely buyers, best-selling months, discounting % , product page visitors and more.