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。
利用内容个性化提高营销效率.
通过为每位访客推荐个性化的内容,改善客户的数字体验。
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。
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。
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。
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。
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。
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。
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。
创建多个页面版本并通过 A/B 测试来找出最优解。
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。
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。
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。
检查和审核内容,获取相关改善的建议,优化内容的 SEO 排名。
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.
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.
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).
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.
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.
There are several types of personalized marketing, including:
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.
The steps of web personalization typically involve: