Transactional emails contain relevant, personal, and applicable information about actions that have recently been taken. They therefore generate higher open and click-through rates than standard marketing emails. Unlike marketing emails, which are usually sent in bulk, transactional emails are triggered by the action of a reader or customer. In this blog article you will learn about the options available when it comes to transactional emails and how you can use them to enhance customer loyalty and boost your website traffic.
- Increasing Conversion Rate
- Reducing Bounce Rate
- Minimizing Returns Rate
- Adding Shopping Cart Value
- Boosting Traffic Rate
- Artificial Intelligence
Effectively using personalization software can help you to increase conversion rates in your online shop; the software recognizes the requirements and desires of your online shoppers, helping you to provide a personalized service and a unique shopping experience. What exactly is personalization software? How does it work? And what benefits does it offer? Find out more in this blog article.
A guided selling software helps customers make decisions about what to purchase in an online shop, which can have the effect of reducing the rate of returns. In a physical store, we are all familiar with the concept of a sales advisor who is on hand to help us navigate the purchase of a pair of pants or a new TV. But although this is a common sight in retail stores, sales advisors are rarely used in online stores. These three successful examples of guided selling software will show you how you can change this in your online store.
You should never underestimate the checkout process in an online shop. If any elements are missing, such as information on shipping costs or payment methods, this may cause a customer to cancel their purchase. You should always check that this information is up to date. However, there are also new sales opportunities that you can capitalize on in your role as a shop owner. In this blog article, we will explain what these opportunities are and how you can make use of them.
Reinforcement learning is a type artificial intelligence, where a so-called agent learns to interact with its environment in the best way possible. In recent years, various applications have emerged which have made the process popular. Programs have been developed that can beat humans at games like chess or go, or even for simple Atari games. These programs help robots successfully play football or perform daring acrobatic helicopter flights. In this three-part blog series, we’re going to show you how the reinforcement learning process can be used to personalize online store recommendations.
Returns management is an important part of digital commerce. In the fashion industry, for example, returns are not uncommon. With a return rate of up to 50%*, this means that almost half of orders will be sent back in whole or in part. Even without knowing exact figures, we can still see that this results in huge costs. So it is no wonder that e-commerce managers go to great efforts to reduce the return rate. In this article, we show you how this can be done even before the purchase, as well as providing further useful information on this topic.
Intelligent search plays a key role in any online store. That’s because it helps to steer the online shopper in the right direction, taking them quickly and easily to the product they are looking for. One major function of the intelligent search is autosuggest. With autosuggest, the online shopper can navigate from the search function toward the product details page. This blog looks into the background of the autosuggest feature.
Particularly when marketing to existing customers, birthday emails are an integral part of customer loyalty. Customers are delighted when someone remembers their birthday. So it’s already common practice to send a birthday email on the special day. But what does a birthday email need to contain for it to generate a positive reaction and so invite customers to your online shop? Let us show you.
This year, the entire world of e-commerce is looking ahead to upcoming trends once again. One thing is certain: Personalization will be a hot topic for e-commerce in 2017 as well. And rightly so: 74% of online shoppers get frustrated when they are shown content that does not interest them. On the other hand, 75% would be happy for personalized information to be used to improve their shopping experience. It becomes clear that customers’ interest in personalization stands undisputed.
Up to 80% of visitors use exclusively onsite search engines to find products in online stores. This figure makes it easy to see why an efficient, user-friendly site search engine is vital – without it, visitors might abandon their search and leave the site. But what actually constitutes an efficient e-commerce search engine? What features should it include? And what results should the search yield? These are all important questions that need to be addressed when selecting a site search engine.