Sales performance is a powerful eCommerce analytics data collection report for online stores.
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Watch VideoUse Plerdy analytics to see exactly which webpage elements your eCommerce customers interacted with before making a purchase. Quickly and easily understand how website elements impact eCommerce sales. Example: use analytics if users don't click on a promotional banner before making a purchase, you should improve the banner’s call-to-action (CTA), update the banner’s text, or remove it.
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Each online store site element plays an important role in the client's eCommerce conversion path. Our analysis helps you understand how to organize your eCommerce site better. For example, it’s important what items you put up-front because these items are the first thing to catch your new visitors’ eyes. Plerdy’s eCommerce analytics provides data displaying which items are most effectiveness on your store site. Then just refine the product image and description.
Group and filter customers by applying certain user conditions to:
Analyze and tackle specific groups of customers
Determine groups you should concentrate on
Discover personalized solutions per each category/group
JavaScript’s built into our tool to help you apply grouping conditions. Zero coding knowledge is necessary to use this analytics feature.
Understand, analyze, and optimize all traffic sources to improve advertising campaigns. Find the most effective marketing tool used to convert leads.
Ecommerce analytics is an indispensable tool for marketers, SEO, and Conversion Rate Optimization (CRO) specialists who work with analysis, marketing strategy, and leads and goals conversion. This tool is specifically designed for all online stores that have shopping carts. Ecommerce analytics compares goals with comprehensive data to help optimize your conversion funnel effectivy.
Ecommerce Analytics Tool
Ecommerce Analytics Tool
Plerdy’s eCommerce analytics shows the total number of successfully processed transactions during a selected period. Also, compare this number against different periods or your goals.
Easily analyze one-time transaction users or loyal repeat item purchasers.
The total number of online profits assesses an online store’s profitability. You can make business decisions using that exact data.
This indicator helps determine the real interest of customers in a brand or product.
Plerdy analyzes customers’ carts and offers additional items for purchase to other potential customers with similar preferences.
Measure your online store’s effectiveness and progress by constantly analyzing conversion rates and comparing them to previous periods.
Determine which eCommerce site elements are more helpful in converting a lead into a deal, and how much profit each element brought.
By analyzing your client's site path, you can improve your users’ experience. Find out whether customers landed onsite for a particular product or if they chose it from all those listed on your eCommerce site.
This is data collected from parts of your eCommerce site page that are the most effective for boosting sales. It helps you use the most “profitable” areas and optimize your most profitable items and useful information. Thus, increasing your online store’s macro conversion.
Plerdy’s eCommerce analytics compares the total and a unique number of page views per session. You’ll see how often the user returns to the same page.
Andrew Chornyy, Founder and CEO at Plerdy
With Plerdy, easily select a specific page and analyze its “profitability” and “sales conversion rate”.
View your sales performance statistics that update in real-time (every second).
Select distinct traffic channels to determine which are more efficient and cost-effective in boosting your sales and profit.
Receive data on what device your customers used when they made a purchase, or when they didn’t. It might spark the realization that your online store is inconvenient for customers trying to purchase from certain devices, so that you can fix that problem.
Plerdy allows segmentation for webpage titles. Just enter the keyword or URL in the title of your search.
Analyze distinct orders by selecting unique order IDs from the table.
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