Under the background of globalization, enabling multilingual functions on websites has become an important step for enterprises to expand into international markets.For operators, how to accurately grasp user behavior data on different language versions of websites, and thus optimize content and marketing strategies, is a very practical and key issue.After the website has enabled the multilingual feature in AnQiCMS, can the statistics code distinguish and count for different language versions?The answer is affirmative, and Anqi CMS provides a flexible implementation foundation.
Anqi CMS multilingual support basics
Aqie CMS has always considered the need for multilingualism from its inception.The core function clearly points out "multi-language support", which can achieve the switching and display of multi-language content, providing a solid foundation for the company's global promotion.In the "System Settings" backstage, users can configure the "default language package", which not only affects the language of the system interface but also provides clues for the language recognition of front-end content.
When a website is configured in a multilingual mode, it usually uses different URL structures (such as:yourdomain.com/en/to indicate the English version,yourdomain.com/zh/or the Chinese version), or through domain names (such as:en.yourdomain.com,zh.yourdomain.com) to differentiate between different language versions. Anqi CMS combines its powerful pseudo-static rule management and multi-site management features to flexibly support these multilingual URL strategies, which is the key premise for achieving refined statistics.
The principle of implementation of statistical code differentiation
Although AnQi CMS provides traffic statistics and crawling monitoring functions, such built-in statistics usually provide an overview of the entire site, which is not sufficient to meet the needs of in-depth analysis of different language versions.To accurately distinguish and count different language versions, it is usually necessary to use third-party professional statistical tools, such as Google Analytics (GA), Baidu Statistics, etc.These tools can be distinguished mainly depending on the following methods:
- Based on URL path or subdomain differentiation:This is the most common and recommended way. If different language versions correspond to different URL paths (such as
/en/) or subdomain (such asen.yourdomain.com), statistical tools can naturally classify the access data of these pages into the corresponding language versions. - Distinguish through customized dimensions/variables:Even if all languages are under the same domain, language switching can be done through URL parameters or cookies, and the language information of the current page can also be sent to the statistics server along with the data through the Custom Dimensions feature provided by the statistics tool.
- Use a different tracking ID (Track ID):Configure an independent statistical tracking ID for each language version, and separate the data completely.This way of management is cumbersome and not conducive to cross-language data analysis, usually not recommended for different language versions of the same website, unless the business requires complete independence.
Deploy statistics code in Anqi CMS and achieve differentiation
The template system and tag function of AnQi CMS provide convenience for deployment and distinguishing statistical codes.
Firstly, the statistical code of the website is usually placed in the website'sheador within tags.bodyBefore the closing tag. Anqi CMS provides a convenient way to insert these global codes. For example, in template files, you can use{{- pluginJsCode|safe }}Label to output the background configuration statistics code, or directly inpartial/header.htmlorpartial/footer.htmladd code to this type of public template.
To implement language differentiation, the key is to obtain the language information of the current page and adjust the logic of the statistics code accordingly. Anqi CMSsystemtags can obtain the language information of the current site:
<script>
var currentLang = "{% system with name='Language' %}"; // 获取当前网站的语言设置,例如 "zh-cn" 或 "en-us"
// 假设您使用的是 Google Analytics 4 (GA4)
// 可以根据语言设置不同的衡量ID,或者发送语言作为自定义参数
if (currentLang === 'en-us') {
// 针对英文站点的GA4衡量ID,或者发送英文相关的自定义事件
// gtag('config', 'G-XXXXXXXXX_EN', {'language': 'en'});
// gtag('event', 'page_view', {'language_version': 'english'});
} else if (currentLang === 'zh-cn') {
// 针对中文站点的GA4衡量ID,或者发送中文相关的自定义事件
// gtag('config', 'G-XXXXXXXXX_ZH', {'language': 'zh-Hans'});
// gtag('event', 'page_view', {'language_version': 'chinese'});
} else {
// 默认或其他语言站点的统计代码
// gtag('config', 'G-XXXXXXXXX_DEFAULT', {'language': currentLang});
// gtag('event', 'page_view', {'language_version': currentLang});
}
// 另一种常见做法是将语言作为自定义维度或用户属性发送
// 这需要在GA后台预先配置好自定义维度或用户属性
// gtag('set', 'user_properties', {'website_language': currentLang});
// gtag('event', 'page_view', {'custom_dimension_language': currentLang});
// ... 其他统计代码,如百度统计等,也可以根据 currentLang 进行条件判断 ...
</script>
In the above code snippet, through{% system with name='Language' %}Retrieve the current language code and then use JavaScript conditional statements to dynamically load different statistical configurations, such as using different GA measurement IDs, or sending custom events and user attributes with language tags to the statistical tool.This way, in the report of the statistical tool, the operator can clearly see the traffic, user behavior, conversion rate, and other data of different language versions of the website.
Data analysis and operational strategy
By this distinction in statistics, operators can obtain more detailed data insights:
- Understand the performance of different language markets:Which language versions attracted more users? What are the differences in user stay time and bounce rate?
- Optimize localized content:Adjust the attractiveness, keyword strategy, and user experience based on language versions.
- Evaluate the effectiveness of multilingual marketing campaigns:Advertising or promotional activities targeted at specific language regions can accurately assess the traffic and conversion they bring.
- Conduct A/B testing:Testing different page designs or copy for user groups of various languages to improve user satisfaction and conversion rates.
Summary
A-Q CMS provides a good technical foundation and flexible implementation for the refined statistics of multilingual websites.By utilizing its multilingual support, template tags, and pseudo-static management, combined with third-party statistical tools, operators have the ability to accurately track and analyze data for different language versions of websites, thereby providing strong data support for global operational strategies.
Frequently Asked Questions (FAQ)
1. Can the "Traffic Statistics and Spider Monitoring" function built-in to Anqi CMS directly distinguish data from different language versions?The Anqi CMS built-in traffic statistics function mainly provides an overview of the entire site, such as total visits, crawler access records, etc., and usually does not have the ability to distinguish in detail by language version.To achieve this goal, it is recommended that you combine external professional statistical tools (such as Google Analytics, Baidu statistics, etc.) and configure them according to the methods mentioned in the above article.
2. If my multilingual website uses different domains (such asen.example.comandzh.example.com) instead of subdirectories, will the deployment method of the statistics code be different?If the domains are different, the deployment method will be slightly different. The simplest method is to configure independent statistical codes and measurement IDs for each domain (i.e., each language version).This, each language version of the statistics will be completely independent.If you need to track cross-domain, you need to configure the corresponding cross-domain tracking settings in the statistics tool, and include these configurations in the statistics code for each domain.The multi-site management function of AnQi CMS can well support configuring different sites for each domain, thereby facilitating the insertion of corresponding statistical codes.
3. Besides code statistics, what other methods can help me understand the behavior and preferences of users of different languages on my website?In addition to traditional statistical codes, there are many ways to understand multilingual users