Taobao Product Title Optimization
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About this skill
Problem
When adjusting Taobao titles, operations teams often lack a defensible basis: which search terms deserve placement, whether the current title wastes characters, and whether generated options are reliably better. This skill turns product data and search-term market data into a concrete title optimization workflow.
How It Works
It expects two inputs: a product table with 名称,品牌,型号,产品种类 and a market table with 搜索词,搜索人气,点击率,支付转化率. After launching the local web app, you can upload files, paste the current title, and generate candidate titles by product category. It scores titles using search popularity, click-through rate, and payment conversion. Title length follows Taobao's common rule: Chinese characters count as 2, letters and digits count as 1, and total length must not exceed 60. Results can be exported to Excel for side-by-side comparison of the current and generated titles.
Boundaries and Checks
It is best when product attributes, search-term data, and an existing title are available; without search data, generation and scoring have little signal. If outputs vary, check whether temperature is set to 0; if API calls fail, check API_PROVIDER in .env; for repeated keywords or short titles, inspect clean_title_repetition and calculate_length_score.
Use Cases
- Generate Taobao titles for new SKUs from product attributes and search-term market data.
- Compare manually written titles with generated titles under one scoring framework.
- Check title keyword choices before launch using search popularity, CTR, and conversion.
- Export multi-SKU title scores to Excel so listing, design, and support teams align.
Best For
- E-commerce operators who convert Taobao search terms into listing title keywords
- Listing maintainers who need titles to fit platform character-length rules
- Merchants who compare old and new title scores in Excel before switching listings
- Technical operators who run local Streamlit title-scoring workflows with Python
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