” Discover Google Analytics Predictive Audiences google analytics On July 10, Google introduced two new predictive metrics in Google Analytics . In the Italian guide , you can better understand what they are. Let's start with a simple example: a potential customer of yours, after having spotted a product in your e-commerce site and after having added it to the cart, leaves the site without completing the purchase. Understanding the reasons why a user decides, at the last minute, to change their mind is not easy at all. If you want to know more, discover how to increase online store sales using WhatsApp to recover abandoned carts.
In this article I don't want to make you become phone number example philippines a magician, but, help you understand how, through the analysis of data relating to the behavior of your users, you have the possibility of planning marketing strategies with a higher percentage of success. Can you assume that the reason for abandoning the cart was the shipping costs? Maybe so. Are you willing to give up (for once, it certainly shouldn't become a habit) that amount? Then invite your customer to return to your site and take advantage of free shipping: a one-time, exclusive and limited-time promotion. Google Analytics goes beyond these simple signals and, through machine learning , is able to learn and identify patterns in your users' behavior.
The purpose of this tool is to understand which actions are performed by those users who demonstrate that they are more likely to complete a conversion (a purchase). Once you have identified this segment of the public, it is up to you to perform that small additional action of persuasion on them. Did one page on your site (more than any other) ? On average, does each visitor take a certain number of days to make a decision? If you have the answer to these and other questions, you know how and when to intervene. Use coupons for a limited time and show them only to users interested in a specific target of products using online coupons Previously we talked about abandoned carts and how this can be a clear sign that a customer is very close to making a purchase.
convince your users to take action
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