Back-End Analytics for Intelligent eCommerce Search, Dashboard Tools for Analytics, Intelligently Drive Sales - Clarity Ventures



back end analytics for intelligent ecommerce search

Back-end analytics can drive the functionality of responsive product catalogs and intelligent search features. What else can they do? Read on for an overview.

Back-End Marketing Analytics and Your eCommerce Website

Back-end analytics will ultimately allow for a complex management interface that will intelligently drive sales. Depending on role, the individuals within a company can dictate how a user selecting a product or category will drive the website, and where they’ll go from there. For example, if you want to offer your customers the option of purchasing batteries after they purchase electronic equipment, you can set up your site to do so. You can also automate the technical capacity for your website to adjust dynamically based on what somebody previously clicked on. Back-end analytics drive this intelligence.

The Power of Using Dashboard Tools for Analytics

Back-end analytics will ultimately allow for a complex management interface that will intelligently drive sales.

There are certain dashboard tools that can make it even easier to integrate back-end analytics with responsive catalogs. Within a dashboard, you can assign specific roles and categories, allowing administrators to manage content or assign data algorithms to a particular search. This is helpful if a particular administrator has an area of expertise or knows the behavior of a specific subset of customers. For example, administrators might know which customers will want an instruction manual, versus customers who already have experience with a product.

Make Informed Marketing Decisions Based on Website Analytics

Back-end analytics work by using website cookies to “remember” each customer. For every visit, there’s data on purchases made, pages visited, and search terms used. All of this back-end data can help you create an experience on the interface side that adapts to user interests. It’s an invaluable tool to use for making marketing decisions when customers are searching for a quick, efficient, and personal experience.



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