How Sllr Sales Analytics Works

Sllr Store Analytics is an essential tool for merchants seeking to understand their e-commerce performance metrics. It provides a comprehensive view of your store's health, covering vital metrics such as store visits, requested orders, confirmed orders, picked-up orders, revenues, and top-performing products. This invaluable tool equips you with the knowledge to optimize your strategies and drive sustainable growth.

Types of Store Analytics

• Store Visits (Traffic)
• Requested Orders
• Confirmed Orders 
• Picked-Up Orders 
• Revenue Brief
• Top Performing Products

Store Visits (Traffic): 

Gain a better understanding of your store's visitor inflow by tracking store visits and analyzing traffic patterns. This will help you identify peak periods, trends, and high-traffic intervals to optimize your marketing strategies and capitalize on high-traffic intervals.

Requested Orders: 

Track the volume of orders initiated by customers, providing insight into product interest and demand. Use this data to fine-tune product offerings and marketing campaigns.

Confirmed Orders: 

Monitor the conversion of requested orders into confirmed purchases, measuring the effectiveness of your sales funnel. Analyze conversion rates to identify areas for improvement.

Picked-Up Orders: 

Assess the fulfillment stage of orders, tracking the number of orders prepared for shipping or pickup. Optimize fulfillment processes to ensure timely order delivery and enhance customer satisfaction.

Revenue Brief: 

Delve into revenue data to understand overall sales performance and revenue trends. Identify revenue drivers and revenue-generating periods to inform pricing strategies and promotional activities.

Top Performing Products: 

Explore insights into product performance based on previews, units sold, and revenue generated. Identify best-selling products, capitalize on emerging trends, and optimize product listings for maximum impact.