1, store opening stage: grasp the market trend of this category through market analysis and view the big data under this category.
2. Commodity selection stage: by looking at the list of commodities/stores, choose the best-selling commodities, and quickly explore the potential baby with the help of the growth index of commodities/stores.
3. Measurement stage: rank keywords and categories in real time, know your ranking in time, adjust the operation mode, continuously optimize the ranking and improve the exposure.
4. Initial operation stage: multi-dimensional analysis of commodities, including: commodity sales, quantity of similar commodities, 30-day pit production, in-depth analysis of active commodity information, price and ranking, etc. , dig deep into the sales trend of competing SKUs and comprehensively monitor competing products.
5. Explosion stage: Look at the distribution of shops and goods during the transaction period, analyze the proportion of SKU transactions, and dig deep into the traffic changes, which is conducive to bidding promotion at different times.
6. Refined operation stage: dig deep into the products with less competition, high heat and great rising potential in the category to create product differentiation.
If you want to know more about this, I suggest reading more information. A lot of information and communication, 3 million e-commerce sellers' data analysis with a lot of business personnel, cloud storage data center, e-commerce big data intelligent cloud database, large-scale storage of platform data, modularization, refinement, real-time optimization and update through AI intelligence, ensuring data capacity and accuracy, and creating a high-quality data iterative update system, which is trustworthy.