Better understand how to personalize recommendations. For existing customers, you can use the purchase history to design a better email template and website experience to identify customers’ previous purchases and provide suggestions based on them. The
For example, dot&bo employees are sending an email to abandon their shopping cart, reminding potential customers of what they left on the cart. They also put forward some suggestions to attract people back to the website. Male can also use these transaction data to better classify target customers and design personalized marketing more effectively. Look for demographic and behavioral patterns that appear in the purchase history, as it shows which types of customers purchased which products. Use this information to design the right target ads for the right lead segments. The
2. 40% of business experts who use website behavior data to simplify buyers’ journey agree that customers are ready to pay extra cash for a better experience, but 67% of product experts admit that they do not know why customers stop using services. If the reason why customers are not satisfied with the online experience is not clear, it is impossible to determine how to improve the purchase process. For example, consider mobile access. 64% of the traffic came from mobile devices, but 73% of web designers said that the main reason for website visitors to leave the website was that they did not respond to mobile devices. The
After analyzing the website data during project management, you will begin to see a model that shows how to redesign the user experience to create a more cohesive buying journey, so as to make it easier for customers to achieve their ultimate goals. For example, biological gloves. The brand of wellspring sports gloves found that although it is easy for customers to go through the rest of the purchase journey, the shopping cart abandonment rate is very high. The company has conducted a variety of UX design tests on shopping carts. Bionic groves analyzed the data of giving up shopping carts and found that the shopping cart design conversion frequency without \
Male shows how reducing UX design confusion can help simplify the customer experience. You can easily understand what customers should do to buy. Only by tracking and analyzing website data can bionic gloves find this pattern. 3. the social media platform that uses social data to provide information to the buyer’s persona is a report of personal data, which can inform the target audience’s preferences, interests and behaviors. Customers not only accept the fact that the brand uses social data to better understand the brand, but also suggest that this happens. The
By tracking and monitoring social data, you can better understand the types of people interested in products and services, so as to build a more accurate buyer base. By understanding their behavior, you can better understand how to design the customer experience to meet the needs and preferences of each buyer Phil Sona. For example, millennials and Gen Z are much more likely to use messaging applications than baby boomers. If the social data shows that you are targeting the millennials and generation Z, please combine the social information to support the chat robot. If the data shows that the majority of potential customers are baby boomers, it is recommended to use the preferred e-mail marketing platform to focus customer support on e-mail services. 4. use social data to design Omni channel customer experience. Through multiple connection channels, potential customers are allowed to select the part interrupted in one channel and continue to experience in another channel.
Consists of a single customer touchpoint. 43% of buyers said that the brand feels like a person when it recognizes the brand at all contact points, and they think that the experience of Omni channel is more important than that recognized by marketers. Rich Gardner, vice president of kaviyo global strategic partners, said: Social data provides the core here. You can track data across all social platforms to get the audience’s idea of what each platform can do, so you can adjust the design to do that. For example, you can use instagram to find products. After understanding the brand, the customer will go to YouTube to view the product video for details. After the customer knows about the product, they will go to Facebook. Before leaving a message, they will go to the website to buy. This social data provides more effective navigation functions and easier to find signs, which can better design customer journeys and connect these channels to improve the user experience. 5. use customer service data to find repeated availability problem-solving patterns and visualize customer data to help understand where customers are hindered. This may be a bottleneck in the purchase process, but you may find that existing customers have availability problems with their products. For example, suppose a service is provided through an application. You may find that specific features of the application are not working or easy to identify, so customers have been consulting support. The pattern of monitoring customer support data helps to better understand how to adjust UX design to improve the customer experience of products or services. Don’t forget to view self-service customer support data, such as the help center. As you can see, customers have more access to specific help guides and usage videos than other customers. There are now many screen recording tools that can create quick video tutorials for this purpose. In this case, these functions can be used in conjunction with UX tuning to make it easier to use. 6. using wechat robot data to improve website browsing last year, about 20% of enterprises implemented wechat robots to improve customer service. Wechat robots can not only speed up customer service and immediately process small support requests, but also serve as a repository for useful data. One of the important uses of the source chat robot is to help customers browse websites. According to the goodfirms survey, 61% of web designers said that the biggest reason for visitors to leave the website was navigation errors. Nevertheless, more than 30% agreed that complex browsing was the most frequent web design error. Wrong navigation will disappoint the user. This makes it difficult to reach the end goal and encourages users to click on the site and look elsewhere for answers. Through the simple adjustment of the navigation UX design, the customer experience is improved to help customers better achieve their ultimate goals. For example, bizztravel wintersports. Dutch travel agencies simplified the exploration, and the target achievement rate increased by more than 20%. Wechat robot data may be very useful for this process. After collecting wechat robot data, you can find the most commonly used navigation queries from visitors, adjust UX design, and users can navigate the site more easily. 7. use customer emotion data to conduct emotion analysis of emotion triggered search opinion mining, and use natural language processing to analyze consumer text data to interpret customer emotion. In most cases, brands use customer sentiment analysis to find common themes in customer reviews. The source customer only provides feedback when they are very happy or very disappointed, so the feedback tends to be emotional. Identification analysis
By identifying the customer experience factors that trigger strong emotions. Look for patterns from negative feedback and improve UX design to improve the customer experience. You can identify patterns from positive feedback and use these devices as inspiration for UX tuning. 8.57% of brands using a\/b test data to optimize their purchasing experience agreed that tracking user data had a significant impact on internal design decisions. A\/b testing is a good way to generate data that directly affects design decisions. Ultimately, customers will better respond to design features that improve the overall customer experience. By testing various UX design features, you can better understand what factors can improve the user experience and improve the customer experience. Dachfenster, a German company, is a typical example of the effectiveness of these concepts. In order to help customers browse the purchase experience more easily, the window and shutter company decided to solve the inefficient drop-down menu on the website. Dachfenster, who tested two alternative list menus (including orange font and green button) through the source a\/b test, found that the conversion rate and revenue acceleration would increase. Male source, but when orange font is used in green, the conversion rate is only increased by 18% compared with 33%. Through a\/b testing, dachfenster discovered UX design elements that help visitors achieve their ultimate goals and simplify the customer experience. 9. simply using social media data to understand the company is not enough to meet industry trends and expectations. To understand the factors that led your target customers to choose you, you need to have a broader view of the industry. Social publishing data is required here. 51% of marketers use social media to quickly gain insight into industry trends and target customers’ expectations. The brand can monitor the time and method involved in the core terms, so as to begin to understand the type of customer conversation about these terms. Finally, UX and CX are not twins, but they are closely related to each other. UX design not only helps improve the customer experience, but CX data also helps inform UX design. By viewing all types of customer data, you can select the patterns that customers expect, the services they need, and the problems they are experiencing. This helps design the customer roadmap more effectively, simplifies ClARiiON, and makes it easier for customers to reach their ultimate goals.
