The Role of AI Personalization in eCommerce Growth

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eCommerce has grown tremendously over the last decade producing$900 billion仅在美国市场的2022年销售中。预计到2027年,它预计将达到1.7万亿美元,到2026年,全球零售电子商务销售额将达到81万亿美元。随着销售额的增长,在线商店的数量也会增长,估计在2022年全球范围内有2400万个电子商务网站,达到20亿个数字数字。买家。

eCommerce is growing without a doubt, but the growth also leads to a wide range of choices that causes consumer fatigue. Customers with thousands of options eventually choose nothing, causing 70% of shopping carts to be abandoned.

Furthermore, the highly competitive eCommerce industry compels brands to offer better shopping experiences if they want consumers to pick them among a sea of similar competing products.

To address both fronts, eCommerce stores turn topersonalized shopping experiences. Personalization is the key to capturing new users and driving repeat purchases. And with the advancement of AI solutions, eCommerce stores are poised more than ever to offer an exceptional shopper experience.


AI个性化在电子商务增长中的作用:


Importance of Personalization in eCommerce

个性化是吸引顾客的关键,increasing repeat purchases, and boosting conversions. It’s a tried and tested strategy to drive sales and comes in many forms, such as personalized product recommendations and onboarding quizzes.

Personalization provides tailored experiences to shoppers that are relevant to their needs and better suited to their tastes. Instead of asking shoppers to mindlessly scroll through thousands of products to find the perfect match, personalization uses customer data to predict the most likely item they’d buy based on past purchases, browsing behavior, demographic data, and other data points.

通过提供个性化的购物体验,电子商务品牌会体验以下内容:

Benefits of Ecommerce Personalization

Personalization has the potential to create brand loyalty if executed properly, but if done poorly, it can harm a brand's reputation. Therefore, it is essential to implement well-planned and effective personalization strategies. However, with an overwhelming amount of customer data to process and analyze, knowing where to begin can be difficult.

This is where the benefits and capacities of AI come into play. Byleveraging AI technology, businesses can analyze large amounts of data to gain valuable insights into customer preferences and behaviors. This allows companies to create more personalized and relevant shopping experiences to increase customer satisfaction and loyalty and drive business growth.


The Role of AI Personalization in eCommerce

AI is no longer the stuff of sci-fi movies and books. It’s becoming ubiquitous in our daily lives, with applications affecting every major industry, including online retail. With millions of customer data points, eCommerce is a ripe candidate for AI technology.

Using artificial intelligence, brands can give customers personalized shopping experiences in seconds with little human intervention.

AI personalization uses machine learning, natural language processing (NLP), and deep learning to create personalized brand messaging, content, products, and services resulting in profitable customer journeys. Think of it as providing every customer with a personal sales attendant when they visit your store.

In a brick-and-mortar retail store, sales clerks attend to every customer and recommend products based on the customer’s request and their analysis of the person. For example, if an older woman enters a boutique to purchase a blouse for work, the attendant will recommend conservative tops rather than casual crop tops.

AI personalization accomplishes this for every customer instantaneously. As a result, each customer journey is unique, and site visitors are exposed only to relevant products.

使用AI个性化的优点

AI-powered personalization has several advantages over using basic personalization methods in eCommerce.

人工智能对电子商务的好处

  • AI地雷并阅读了大量数据,因此品牌可以访问更深入的见解,从而实现更好,更准确的个性化客户旅程。
  • AI improves ad targeting, leading to more effective ads that reduce marketing spend and increase revenue.
  • AI为产品与客户当前购买的产品提供良好的产品生成更智能的个性化建议,从而导致高涨的收入。
  • AI驱动的聊天机器人go beyond robotic, scripted responses and use NLP, sentiment analysis, and other AI techniques to provide shoppers with a better customer support experience.
  • AI creates a better search experience by understanding the nuances of human language so it can display relevant results even if customers don’t type the exact keywords.
  • AI provides important customer data that helps brands refine their offers and processes to solve customer pain points and deliver an optimal customer experience.

While personalization has been around for a long time, artificial intelligence has elevated it to a new level, delighting customers and brands. Customers will find online shopping engaging once more rather than stressful, and brands will deliver a better shopping experience that boosts revenue.


Use Cases of AI Personalization in eCommerce

预期的56% of customers, with 69% of consumers open to using AI to boost their experiences. That said, here are common use cases of AI personalization for eCommerce.

优化电子商务主页

从一开始就提供个性化的用户旅程是有益的。首次访问者的行为与返回客户的行为不同,使用AI可以帮助每个人为每个人带来独特的体验。

对于没有历史数据的新访问者,您可能会向他们展示您的一般Top Sellingitems. On the other hand, you have a wealth of information about returning users, such as their past purchases, favorite categories, and browsing history, so you can tailor-fit their homepage to what they’d expect to see.

You can show returning visitors the items they left on the cart, sale times from their favorite categories, or their recent browsing history. This will create a unique personalized journey encouraging them to purchase more.


通过AI驱动的个性化革命类别页面,用于无缝导航和增强的产品发现

如果您运行一个大型电子商务网站,则可能会将您的产品组织成各种类型 - 从一般到特定的子类别。客户可能很难浏览这些产品类别以找到所需的项目。

With the help of AI personalization, you can guide each shopper to precisely the right categories and sub-categories and display associated products that work well together. For example, if you run an online fashion store, you’d have categories for Blouses, Dresses, Pants, and more. With AI, you can further enhance these categories to include Blouses for different seasons or styles, helping customers find exactly what they want.


增强在产品详细信息页面上的客户参与度

当购物者查看产品的详细信息页面时,他们有兴趣了解该物品以及是否适合其需求。您可以使用此信息进一步指导他们并达成交易。使用AI个性化工具,您可以显示客户正在查看的内容的替代方法,以便通过比较可用选项来做出更好的决定。

You can also showFrequently Bought Togetheritems to give a better user experience by suggesting complimentary products they’d probably need with their purchase. These tactics will keep the customer engaged with your site longer and prevent them from bouncing to other shops that offer a complete experience.


Maximizing Sales on Cart and Checkout Pages

Now that the customer is about to complete his purchase, you can still introduce AI-powered suggestions to increase the cart value. Based on what they have in the cart, you can suggest often-bought-together items or products that match their purchase. For example, if they bought an electronic device, you can offer a protective case or batteries.

If it’s a recurring customer purchasing items they bought before, AI can detect if they’ve left something out and make a suggestion to remind them to add these items to their cart.


通过感谢页面优化客户保留

The Order Confirmation or Thank You page is still a good place to introduce several AI-powered suggestions to enhance the customer experience. You can show trending items related to the customer’s purchase to pique their interest and help them discover new things. You can also show frequently purchased items with their order in case they missed something.

And if the customer saves items in their wish list, you can remind them about it by showing those items and related ones on the confirmation page.

eCommerce stores are ripe with data that can be utilized to make the customer shopping experience engaging, stress-free, and fun. In every step of the shopping journey, you can use AI to display relevant products and help customers find the items they need.


AI Personalization Tools for eCommerce

Multiple AI personalization tools in the market are designed to help you provide a personalized shopping experience. Here are the best of them.

1.Insider

Insider

Insider provides individualized, cross-channel experiences that help marketers connect multiple customer data from different channels and predict their behavior using an AI-powered engine. This enables them to create personalized shopping experiences that carry on to various customer touchpoints such as the website, social media channels, and messaging apps.

Top brands like IKEA, MAC Cosmetics, Estee Lauder, Burger King, Toyota, and Samsung use Insider, making them the leading personalization platform with a global presence across five continents.


2.布卢赫

布卢赫

布卢赫is an eCommerce experience cloud that creates unique customer journeys for millions of customers at the same time. It has an AI-powered Discovery feature that makes personalized search and merchandising, a robust content management system, and marketing automation solutions.

使用该工具,电子商务公司可以通过闪电速度AI的优化和收入驱动的客户旅行来发展和扩展。使用Bloomreach的品牌包括Bosch,Puma和Marks&Spencer。


3.MoEngage

MoEngage

MoEngage is an award-winning platform that uses AI-driven insights to provide customers with relevant and engaging cross-channel experiences. It helps marketers create customer-centric campaigns that leverage customer data to determine the best content, channel, and time to reach a customer.

这创建了一个成功的公式,可以保证增加覆盖范围和转化,从而导致爆炸性电子商务增长。Moengage每月提供22亿个全渠道体验,并由1200多个品牌使用。


4.Clerk.io

Clerk.io

Clerk.io is an eCommerce personalization software that uses AI-driven technology to acquire, convert, and retain customers. Through AI, it can automatically analyze customer behavior, determine trends, and review past transactions to show current shoppers relevant product recommendations and search results.

It also powers email marketing and cross-channel experiences to generate a 15-30% sales uplift. Brands like Jeep, Carlsberg, Stylepit, and Unisport trust Clerk.io to power their eCommerce personalization strategies.

Clerk.io
4.2个5星中的
评分
Features & Pricing
利弊
评分
Ease of Use
4.2
Customer Service
4.1
Value for Money
4.4
Overall Score
4.2
Features & Pricing
Behavioral Targeting
Customer Segmentation
Email Marketing
Recommendations
Website Personalization
Intelligent Search Engine
价格starting at: $99
利弊
Easy to use
Improved customer experience
增加客户参与度
价格
一体化
Best for: Businesses of all sizes
Clerk.io
4.2个5星中的

5.Vue.ai

Vue.ai

Vue.ai是一个端到端的电子商务个性化平台,它使用AI进行目录管理,图像适量,模型图像,样式,动态1:1个性化和购物者旅行。它可以帮助零售商经营高效的在线商店,并提供独特的客户旅程,以提高销售和推动盈利能力。

Notable brands that use Vue.ai include Diesel, Nordstrom, Columbia, and Johnson & Johnson. The platform also lets you create customized AI models to match your business goals and needs.


Final Thoughts

Artificial intelligence is the future, and it’s enhancing every aspect of our digital world. It’s the solution to the overwhelming choices now possible with eCommerce technology and the key to delivering an exceptional customer experience that drives revenues.

As the industry gets more competitive, eCommerce personalization becomes even more crucial in acquiring and retaining customers. With AI personalization tools, brands can tailor-fit their products, promotions, and content for the right audience at the right time, strengthening brand loyalty and increasing brand relevance.

常见问题

How is AI used in personalized shopping?

AI is used in personalized shopping to provide customized experiences to customers based on their preferences, interests, and behavior.

AI algorithms analyze vast amounts of customer data such as purchase history, browsing behavior, and search queries to provide personalized product recommendations, promotions, and search results. Additionally, AI-powered chatbots and virtual assistants can act as personal stylists, asking customers about their preferences and suggesting personalized recommendations.

By leveraging AI technology, retailers can improve customer satisfaction, increase sales, and gain a competitive advantage in the ever-changing retail landscape.

What are the advantages of AI in personalized shopping?

在个性化shopp AI提供了几个优势ing. AI helps retailers automate the personalization process, reducing the time and resources required to tailor experiences for each customer manually. This allows retailers to scale personalization efforts, making it feasible to provide customized experiences for a large customer base.

With AI, retailers can discover patterns in customer behavior that may not be immediately apparent. This will enable them to provide recommendations and promotions that match customers' interests and preferences, even if they have not explicitly stated them.

最重要的是,AI使零售商能够提供量身定制的体验,以提高客户满意度和培养忠诚度,同时增加销售和收入。

What is an example of personalization in eCommerce?

Product recommendations are a common application of AI personalization in eCommerce. For example, if a customer has recently purchased a pair of running shoes, the website may suggest other running-related products, such as workout clothes, fitness trackers, or running headphones. This personalized recommendation saves the customer time by showing them products they are likely interested in and increases the likelihood of a purchase.

Another application is personalized promotions. For instance, if a customer regularly purchases skincare products, the website may offer them a discount on a new skincare line. This personalized promotion incentivizes the customer to make a purchase and shows them that the retailer values their loyalty and interests.

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