TikTok Product Opportunity Analysis

Problem

TikTok Shop selection often starts with scattered signals: products, creators, shops, videos, and ads each use different definitions. It is hard to tell which categories deserve a test launch and which are only short-term traffic or small-sample noise. This skill turns those inputs into actionable selection decisions instead of a generic ranking list.

How it works

• First define the target platform, audience, price band, validation window, and compliance limits, so data from different markets, price tiers, or time windows is not mixed together.
• Score candidates using demand, competition, margin, content space, supply stability, and after-sales risk, then downgrade unclear sources, tiny samples, suspected inflated activity, and missing cost assumptions.
• Deliver an opportunity ranking, competition assessment, and validation task list, with next steps such as small-sample tests, launch trials, and stop criteria for selected products.

Boundaries

• Without an official API or connector, it only analyzes user-provided files, tables, and text, and does not claim real-time platform access.
• Actions involving listing, repricing, shipping, refunds, payments, deletion, or permission changes require a second check of the target and authorization.
• Numbers must trace back to source fields; missing sales, margin, inventory, reviews, quotes, or customer cases should not be filled in.