[Comparison of EC malls by product category: Platform selection and market compatibility analysis to achieve PMF]

The biggest factor that determines the success or failure of an e-commerce business is not only the quality of the product itself, but also the product market fit (PMF) of ``which platform to sell on''. Major malls such as Amazon, Rakuten Market, and Yahoo! Shopping each have different user demographics, purchasing algorithms, and economic zones. In this article, we will thoroughly compare the optimal mall selection criteria for each product category and explain how to strategically utilize the platform to maximize unit economics.

Comparison of market characteristics and user attributes of three major EC malls

There are clear differences in "purchase intent" among the three major malls that drive Japan's e-commerce market. Amazon is characterized by extremely low friction in the purchasing process, with many search-oriented users focusing on "product model number" and "delivery speed." On the other hand, Rakuten Market is mainly made up of frequent users who enjoy "point redemption (Rakuten Economic Zone)" and "store-specific worldview," and we can expect an increase in the repeat rate through CRM measures. On the other hand, Yahoo! Shopping has an advantage in attracting smartphone native users through synergies with LINE/PayPay.

[By category] Platform selection to maximize PMF

The user experience (UX) that users expect from a mall differs depending on the characteristics of the product. For example, in categories with high preferences such as apparel and cosmetics, there is a high degree of freedom in visual appeal, and Rakuten Market, which has strong circulation, and Yahoo! Shopping, which has strong social networking services, are advantageous. On the other hand, in functionality-oriented categories such as PC peripherals and daily necessities, Amazon tends to easily achieve PMF because it is easy to compare specifications and has strong fulfillment (FBA).

It is also essential to respond to each mall's SEO algorithm. The linkage with RPP advertising in Rakuten SEO, href="1_yahoo-shopping-seo-algorithm-scoring-guide_100.html">By optimizing Yahoo! Shopping's search scoring, you can maximize organic traffic and improve ROAS (return on advertising spend).

Zero-party data and LTV: Designing a route from the mall to your own EC

The biggest bottleneck in mall sales is the "black boxing of customer data." However, by collecting zero-party data (intent data that customers voluntarily share) through product bundles and surveys, it becomes possible to create a hybrid strategy that defines malls as a channel for acquiring new customers (with emphasis on CPA) and in-house e-commerce as a channel for maximizing fan conversion and LTV (lifetime value). This allows us to build a strong brand portfolio that breaks away from platform-dependent price competition.

Mall comparison data analysis

Benchmark data on each mall's presence in major categories and market suitability. Please use it as an optimization indicator for resource allocation.