China E-commerce Bestseller Single-Product Diagnosis

Problem

When a seller has only one product link but backend data shows weak exposure, poor clicks, traffic without conversion, strong paid sales but weak organic performance, or stagnant sales, the usual mistake is a broad rewrite. This skill narrows the scope to single-product diagnosis across Tmall, JD, Pinduoduo, and Douyin ecommerce, identifying the current bottleneck before touching titles, main images, SKU structure, reviews, price, or promotion.

How It Works

It uses a guided evidence intake flow: collect product name, platform, category, goal, and stage, then request the smallest useful dataset for the last 7 and 30 days, including exposure, visitors, CTR, conversion, add-to-cart, favorites, paid units, AOV, GMV, refunds/negative reviews, and paid/free traffic mix. If screenshots are available, it asks for backend core data, traffic sources, search result page, SKU and promotions, detail page and reviews, and competitor links in sequence rather than all at once.
Diagnosis starts by classifying the issue as no traffic, low CTR, low conversion, weak organic after paid success, stagnant sales, or scaling a winner. Then it reviews title keyword routes, main-image CTR, detail-page objections, SKU ladder, pricing, review trust assets, and link layout. The output separates immediate fixes, watch-and-adjust changes, and areas to leave alone, with 7/14/30-day execution lists and review metrics.

Scope

It is best for single-product breakout diagnosis in Chinese ecommerce, especially when the seller can provide backend data or screenshots. If evidence is incomplete, it requests the next highest-value screenshot instead of inventing numbers. It is not intended for generic platform theory, broad store redesign, or campaign planning without product-level evidence.