Analytics

This section will explain how to view and use the analytics to gain insights into the profiles of your website's products and consumer preferences. Utilize first-party data to plan your brand operations.

Product Analytics

This analysis provides detailed data insights into product characteristics and attributes. It helps you understand the sales performance of products with different attributes, and provides more precise data support for activities like product development, design, and selection.

Product Analytics

Preference Analytics

We use the K-means clustering machine learning method to automatically grouping your customers into four groups based on their spending patterns: High-Spenders, Medium-Spenders, Low-Spenders and also Non-Spenders. You can use this grouped data to enhance your marketing and advertising strategies, increasing conversion rates and average order value (AOV).

Preference Analytics

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