千人千面

在同一个系统中为所有数字渠道创建内容,并根据访问者的个人喜好来实现个性化的内容推荐。
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更引人的内容,更显著的成果

利用内容个性化提高营销效率.

Better Customer Experiences

更好的客户体验

通过为每位访客推荐个性化的内容,改善客户的数字体验。

Greater Visitor Engagement

提高访客参与度

参与度高的访客往往会有更高的转化率和留存率。通过提供个性化的内容来提高客户的长期价值。

Higher Conversion Rate

提高转化率

为访客提供个性化的内容和产品推荐是提高转化率的关键。

Magnolia 的内容个性化功能如何能助力您的业务

千人千面的数字体验

根据每个客户所属的受众类型、浏览方式等信息,为他们提供个性化的内容推荐。Magnolia 通过分析客户数据,让您为每个客户量身定制数字体验,从而提高他们的参与度、转化率和留存率。

为所有的数字交互渠道提供个性化的浏览体验

Magnolia 能帮您的企业实现全渠道内容的个性化和优化。通过 API 提供个性化的内容,从而在任何前端实现千人千面的浏览体验。

内容个性化、数据分析和内容优化

Magnolia 同时提供内容个性化和 A/B 测试功能,帮您打造卓越的数字体验,提高客户的长期价值。

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Magnolia Headless Personalization Diagram

在所有数字交互渠道实现千人千面

前后端分离架构的灵活性使其越来越受欢迎,但是如何在前后端分离的架构中实现千人千面却成了难题。

Magnolia 可以帮您解决这个问题。您可以通过 Magnolia API 向任何前端提供个性化的内容。

内容作者用 Magnolia 给每个的受众群体创建个性化的内容模块。IT 人员通过在他们的 API 请求中指定这些特征来索取个性化的内容,从而在前后端分离的架构中实现千人千面。

扩展您的 MarTech 技术栈

受众群体

根据特定的受众特征定义受众群体并为每个群体打造个性化的数字体验,从而提高转化率和留存率。

A/B 测试

创建多个页面版本并通过 A/B 测试来找出最优解。

营销标签

在您的页面中插入跟踪和分析页面效果的代码,并整合来自社交媒体或广告网络的第三方内容。

统一客户数据

集成您的营销自动化工具以及CRM,以在系统内追踪用户行为,从而创建全面的客户画像。

数据分析

将您的分析仪表板直接引入 Magnolia 的创作界面,并在内容上下文中分析数据,帮助您改善数字体验。

搜索引擎优化

检查和审核内容,获取相关改善的建议,优化内容的 SEO 排名。

 

2024 年 Gartner® 数字体验平台 魔力象限™

Magnolia 在最新一期的Gartner报告中被评为具【卓越远见】的供应商。

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FAQs

What is headless personalization?

Headless personalization is content personalization delivered through a headless content management system (CMS). With headless CMS architecture, content management and delivery are decoupled so that content can be managed and created without the constraints of the presentation layer. Headless personalization allows for more flexibility in the content delivery process and enables personalized content delivery to multiple channels and devices.

Are Magnolia's personalization capabilities headless-ready?

Yes, Magnolia's personalization capabilities are headless-ready. Magnolia provides a headless content delivery API that allows organizations to deliver personalized content and experiences to any channel or touchpoint, including websites, mobile apps, and IoT devices. Magnolia's headless capabilities enable organizations to decouple the content management and delivery layers, providing greater flexibility and scalability.

What is personalization in CMS?

Personalization in CMS (Content Management System) refers to the ability to customize content and experiences for individual users based on their behavior, preferences, and other data. Personalization refers to creating variants of content for different audiences, defining which audience segment should receive which variant, and also testing the variants (e.g., through A/B testing).

What are the different types of personalization?

Depending on the type of data used for personalization, there is implicit (i.e. data is captured by tracking the user’s behavior) and respectively explicit (i.e. data is provided by the user) personalization.

What is a popular method for personalization?

One popular method for personalization is rule-based personalization, which involves setting a set of rules or criteria for personalizing content based on user behavior or qualities. A good example is an ecommerce site that might use a rule-based system to suggest products based on a user's location, browsing habits, or past purchases.

What are the different types of personalized marketing?

There are several types of personalized marketing, including:

  • Behavioral personalization involving data about a user's behavior, such as their browsing history and purchase history, to personalize marketing messages and recommendations.
  • Demographic personalization based on data about a user's demographic profile, such as age, gender, and income, to tailor marketing messages and offers to their specific needs and preferences.
  • Contextual personalization including data about a user's current context, such as their location, time of day, and device, to deliver relevant and timely marketing messages and offers.
  • Collaborative personalization is created when users are asked to provide feedback and preferences to help personalize their experience.

What are the 4 R's of personalization?

  • Recognize: The first step in personalization is to identify the user. This entails gathering and studying user data, including browsing habits, past purchases, and demographic data.
     
  • Remember: As part of personalization, brands must also remember how users have interacted with them. In order to do this, information regarding a user's previous actions and preferences—such as product choices, past purchases, and search queries—must be stored and analyzed.
     
  • Recommend: Another aspect of personalization is making pertinent suggestions for goods, services, or content based on user behavior and preferences. This entails utilizing data and analytics to provide recommendations for goods or information that the user is probably interested in.
     
  • Relevance: Lastly, personalization should concentrate on providing the user with relevant experiences and messages. This entails distributing content, messaging, and offers through the appropriate channels at the appropriate times, all while being tailored to the user's needs and preferences.

What is Personalization vs Codification?

Personalization and codification are closely related terms. This is because personalization involves creating custom experiences for different users.

Personalization involves tailoring content and experiences to individual users based on their behavior, preferences, and other data points. Personalization aims to create a customized experience that feels unique and relevant to each user.

Codification involves creating standardized content and experiences that can be applied to a wide range of users. Codification aims to create a consistent and predictable experience that can be easily replicated across different touchpoints and channels.

What are the steps of web personalization?

The steps of web personalization typically involve:

  • Data gathering: Personalization begins with gathering data about the user, including information about their browsing habits, search terms, and demographics.
  • User segmentation: After data has been gathered, users can be divided into several groups based on traits or behaviors that they have in common. This makes personalization attempts more focused and pertinent.
  • Content creation: Personalization also requires creating content that can be tailored to each user segment. This can involve creating different versions of a webpage, email, or other content asset that are customized for each segment.
  • Personalization rules: Personalization rules specify how each user category should receive content. These guidelines may be determined by a number of variables, including user behavior, location, or device.
  • Testing and optimization: Personalization efforts should be tested and optimized over time to ensure they effectively drive user engagement and achieve business objectives. This can involve A/B testing, multivariate testing, or other optimization techniques.
  • Continuous improvement: Finally, web personalization is an ongoing process that requires continuous improvement and iteration. This involves analyzing data, monitoring user behavior, and adjusting personalization efforts as needed to ensure that they remain effective and relevant.

开始演示

获取定制演示,了解 Magnolia 如何帮助您创建完全集成的客户体验并加快数字交付。

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