I'm not sure what i'm talking about. The location of the population is divided into those of the store and those of the product. The main focus of the shop location is on the crowd of styles, the style of the shop, and the fans。
In order to be able to make a better selection of people who can get through the car, there are also people who want to know whether or not it can be operated
I'm not sure what i'm talking about。
Why? The reasons are as follows:
1. Population location
The location of the population is divided into those of the store and those of the product。
The main focus of the shop location is on the crowd of styles, the style of the shop, and the fans. The accumulation of shop fans has greatly helped in the marketing of content。
The orientation of the baby population, which determines the basic population of the product at the beginning of the shelfing, is based on such factors as product properties, function, quality, length of use, etc。
2. Breakdown of population
But these divisions tend to be unsatisfactory in the early stages of product promotion, which is the basis for big data, but they are for different products。
The focus is on two categories of people: those who are interested can also be understood as those who do not need the product (the collection is not sold directly) and those who have made the deal (which is needed urgently)。
From product extension to transaction, we all know it's a funnel model, and from visitors to transaction, it's double the number. The main purpose of our crowd optimization is to keep the flow, and it is possible to make every flow to the store. So, after we had made basic mass mapping based on product attributes, etc., it was possible to optimize the population to the effect of our first population group, namely, stock additions. The latter groups are best targeted at those who have made a deal and are screened。
3. Law on crowd optimization
Keyword search habits (groups of people): keywords correspond to the population, different character search habits are different, some prefer to search for big words, some prefer to search for big words more than three words; some like to search for a whole string, basically long endings。
Browsing habits: the main consumer group now is 80, 90, and after 90, it likes to be fast, plus mobile internet, that's why we stay so short. Of course, part of the 80 is still used to browsing through the details pages. It is divided into two browsing habits: a master map and evaluation, and a thrust detail and evaluation. So it's important to make the right judgment for different consumers of different products。
People optimised: the short-term effects on the population are different. In the case of clothing, the pre-solding and measuring population is relatively accurate, but in the case of the high-season traffic must be matched。
Based on the reference to population data, it would be preferable to look at data for seven days and 14 days, with periodic variations, and seven days for overtime observations of the population, at times adjusting the latest data for the population of concern。
How
The selected population has five categories: the first-page potential population, the store-specific population, the quality population, the promotional population and the self-defined population。
The selection of the population is based on the location of the product promotion, with the usual straight-to-car promotion products divided into flow and high unit prices, which can be broken down into medium and high unit prices。
In the case of flow patterns, the choice of population groups is dominated by preference discounts, high frequency of purchases and a unit price of no more than three times the unit price of the product. In the case of high single price promotions, the selection of the population is based on senior treasure-hunting visitors, high consumption rates, a focus on life details and a focus on the consumption of the population。
