What data should the e-commerce platform analyze? How to analyze it specifically?

The three underlying factors of e-commerce: exposure, click and feedback, can be deeply analyzed from these three latitudes. For example, the factors that affect exposure are the number and ranking of keywords. A word represents a channel found by the buyer, and the more comprehensive the better. Ranking is related to which page you rank. As we all know, the higher the ranking, the greater the probability of buyers seeing clicks. At present, most of the home pages of e-commerce platforms are paid positions, so it will involve the use of payment tools, including fixed rankings, top booths, through trains, windows, credit guarantees and so on. There are many influencing factors of clicking, and several key ones should be optimized: product relevance, picture quality, ranking position, evaluation system, credit guarantee, sales volume, response rate and so on. I only mention two factors that affect feedback: product content description page and Wangpu.