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How to Master Product Recommendations for Your Online Apparel Store
Today, almost every online apparel store employs an eCommerce product recommendations engine. Anyone who has visited an eCommerce site has almost certainly seen product recommendations. This technology, based on product recommender systems, combines acquired data and predetermined algorithms to accurately predict and display the products or services according to the customer’s needs and preferences. Any online […]
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Your A-Z Guide to Customer Lifetime Value and How to Make the Most From It
Customer lifetime value (CLV) is the customer satisfaction standard of your goods and products on offer. CLV measures the amount of revenue generated through a customer in the time they bought your products. CLV is a marketing tool that helps a company understand its customer base. Ever wondered why VIP customers exist? They have the […]
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10 Shopify Themes That Guarantee Better Conversions in 2021
Are you thinking about starting an online store to sell your products? Then we are pretty sure you might have heard about Shopify. Shopify is one of the best eCommerce platforms that helps entrepreneurs create their online stores and deliver delightful shopping experiences to their customers. Its user-friendly interface lets you build a store with […]
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How Ecommerce Brands Can Leverage Customer Segmentation for Growth?
Every marketer or business owner aims to build their brand and revenue. And so, investing in marketing efforts is crucial. But, what is even more important is that to make sure that you spend it on the RIGHT marketing strategy. Your money would go down the drain if you do not cater to the […]
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How AI is Changing the Face of Digital Marketing in 2021
Digital Marketing aims at maximizing business opportunities with potential customers. In recent years, a multitude of AI algorithms and methods are starting to be utilized in order to provide a good insight into the true interests of consumers. These methods not only analyze the current needs of customers but also predict their future requirements using […]
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