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wholesale jewelry in pakistan Take the clothing industry as an example to understand the three common indicators of product data analysis.
1, selling out rate
The sales rate of a certain period of time in a certain period of time accounted for the proportion of the total purchase of some goods. A assessment indicator for cost and cost is convenient for determining to what extent the goods are sold for discount sales. (From Baidu Encyclopedia)
In combination with clothing, the sales life cycle of general clothing is three months. If within three months, not because of seasonal and weather, the selling rate of clothes is less than 60 %, then roughly roughly roughly It can be judged that the sales of this product are problematic, and of course it does not have to be determined until three months. Within three months, the size and color matching in the first month are complete, and the selling rate will be 40-50 %, and the second month is about 20-25 %. There are 5 to 10 %. When the selling rate of the first month is greatly less than 40 % and there are no other reasons, it is necessary to pay special attention to strengthen the display or promote it.
The figure below is an example. Because of the data of 8 and 9, it is not difficult to find that weather factors lead to the low selling rate of shirts and dresses. When decision -making The sales of trench coats and sweaters that should have been sold are also very low. Then do we need to think about the problem, the style or the price or the inconspicuous location? As a result, the next sales plan is made.
2, library sales ratio
The ratio of inventory to sales is an indicator for detecting whether the inventory is reasonable, such as the monthly library sales ratio, the annual average library Sales ratio, etc. The calculation method: monthly library sales ratio, monthly average inventory/monthly sales, the ratio of high ratio indicates that the inventory is too large, the sales are not smooth, and the low may not keep up. (From Baidu Encyclopedia)
is the setting of the library sales ratio scientific and reasonable. First, it determines whether the order supply can truly realize the extension of the order production; The third is whether the inventory company can truly meet the market, does not have a backlog, and continuously file.
The more popular products, the smaller the sales ratio we need to set up, which can better speed up the turnover efficiency of the product; the more slow -selling the product, the larger the market sales ratio. We can maintain the library sales ratio to a certain level through sales and distribution, and do not allow the market to be too high or too low. Once the market is too high or too low, it indicates that daily sales and distribution work are not in place. In other words, it should not be remedied until the library sales ratio reflects the abnormal inventory.
The also look at the picture, the sales ratio of sweater and shirts is two typical examples.
3, ping effects
is mainly used to calculate the operating benefits of the mall, which is used to measure the area of each ping How much turnover.
Different positions in the shop, the number of attracted customers is different. At the entrance on the first floor, it is usually the easiest place to attract attention. In such a golden area, you must place a counter that can earn the maximum profit. Although the core indicators of the store are profits, indicators that can represent the competitiveness of the store are not the level of profit, but a intensity indicator, that is, ping effects and human effects, that is, the contribution and per capita contribution of each square meter. It is a key indicator that can compare each other between each store and is a key indicator that can more comprehensively reflect the basic competitiveness of the store.
The ping effects of many specialty stores are leading peers. This is the result of deep analysis of passenger flow and consumer shopping in the early stage of the store and the optimization of store layout, moving line and category design. Clothing shops are also crucial.
The picture below is a complete report for your reference (it is recommended to click on the big picture).
It data charts and data reports are from the BDP personal version!
where to buy wholesale jewelry making supplies User behavior indicators
The user behavior indicators are the biggest differences between the Internet industry and traditional industries. In traditional industries, user behavior occurs in the store, and it is difficult to record digital means, so only when trading can it be recorded, data can be recorded.
M most of the data of traditional enterprises is transaction data. The Internet industry relying on mini -programs/H5/APP, it can record the clicks of users on each page, which is equivalent to every step in online shops. Therefore, many things can be analyzed.
It on the indicator, you can apply the Aarrr model to expand the module:
The new: mainly used to analyze the new conversion efficiency and quality. Latin new is the most important task of many Internet companies. The cost of pulling new is the biggest cost expenditure of many Internet companies, so Latin's new attention is high.
C user active category indicators: User active indicators are the focus of daily attention. Active users are the foundation of all business, and active behaviors can be recorded daily, so the operation/product departments are staring very tightly daily.
The user retention indicators: Reserve indicators are generally combined with new/active indicators. Because the statistics of retention are relatively lagging (to wait for the XX genius to be statistics), it is generally a lot of monthly recovery/post -analysis.
The user conversion indicator: User conversion generally refers to paid behavior, which is an important channel for realizing the realization of the Internet business model. The indicators that look at the indicators are mainly based on how many people buy, how much they buy, whether it is continuously purchased. Here are very similar to members' consumption analysis of traditional enterprises, which can derive many sub -indicators.
The user to introduce category indicators: There are many types of users who introduced the behavior, repost content/forwarding products/introduction of new users, etc., are all referral behaviors. Therefore, the definition of the introduction of behavior often changes in combination with specific profile forms. There are few uniform indicators. If you must summarize, you can summarize as:
The number of people who introduced the number of people: the number of reposted content/forwarding product/introduction of the number of users of the new user
Buying/content reading, etc. In addition to AARRR, there are special behaviors: risk behavior to identify the dangerous actions of users. In different business scenarios, the risk definition is different. For example, in the e -shopping scene, the order of order, wool, plug -in in game scenarios, fraud transactions in financial scenarios, and so on.
product indicators
SE product indicators are the characteristics of the Internet industry. Users will use different functions in the Internet APP/H5/small program. If it is easy to use, it will always be used. If it is not easy to use, it will give up the data midway. This can record the data, so that through the product analysis, it will constantly eliminate universal functions and optimize the optimization of unused functions. Optimize optimization. Some people use functions to improve efficiency.
The common indicators of product analysis are as follows:
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Note: product analysis is level, the highest level is the entire APP/ H5/applet page/function inventory. The second is to analyze a specific page (such as homepage, product details page, shopping car page) or a specific path (such as entering the product details from the Banner site advertisement from the homepage, and then selecting the product for a path).
The finer is analyzing a certain revision, a certain button/page layout adjustment, and so on. The indicators of the above example are more indicators for page/path analysis. In other cases, share in detail when you have time.
The content indicators
The content indicators are also characteristic of the Internet industry. Video/graphics released on the Internet can record the reading situation. General content operation/marketing promotion/new media operations, which are closely dealing with content, will pay attention to this type of indicators.
The common content indicators are as follows:
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In the analysis of these indicators, the departments of the creative content, such as content operation/new media What can be found in operation, which can be found high and which forwards, so as to summarize the routine of writing articles and improve the scope of content dissemination. The content of the content of the content, such as marketing promotion, can pay attention to the transformation of what content can be paid, thereby improving the efficiency of promotion.
Activity indicators
Activity indicators are common in the Internet and traditional industries. In contrast, the traditional industry of the Internet industry is higher and stronger in marketing activities, and often burns money to increase. Therefore, the relevant indicators of the event are highly concerned.
Seping activity indicators are as follows:
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Analysis of these indicators can allow colleagues responsible for activities to see the effect of the activity intuitively. And compare in different types/different strength activities to find more efficient ways to carry out activities.
It activities will include multiple roles, such as group activities, which will also have two roles of the head/members at the same time; fission activities, with cracks and sponsors, two roles.
The participation conditions, standards, and standard rewards of different roles are not the same. Therefore, two types of groups can be split to see the number of active targets/number of participants/number of people.
Chat category indicators
Chat category indicators are common in the Internet and traditional industries. The difference is that most of the traditional enterprises are physical products, while the Internet has a bunch of virtual commodities, such as virtual currency, member privileges, game equipment, live broadcast rewards, etc.
Therefore, the product management of the Internet industry may be simpler than the traditional industry. It is not necessary to stare at the inventory weeks to transfer indicators without such anxiety.
M common product indicators are as follows:
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Analysis of these indicators can make colleagues responsible for commodity operations visually see the products well -selling products. /Lost, so as to adjust the product investment and sales plan to avoid the backlog/out of goods.
Note that there is no inventory in principle in virtual commodities (or how much inventory is set). However, virtual commodities will also cause inflation in the Internet to depreciate and depreciate goods. For example, the rare skin in the game is expensive because it is rare and expensive. For short -term income, it is a big discount. Once the street is bad, everyone is not rare.
So the inventory of the control of virtual commodities is not depending on the commodity sales rate or in the library time, but to see the overall goal of GMV. With the overall goal of GMV, high, middle and low -end products maintain a stable inventory structure to avoid rotten streets.
wholesale gemstone handmade indian silver jewelry (1) Sales data dimension
1, product
products are one of the finest dimensions of retail analysis. Most indicators are based on the product to make detailed records. analyze.
2, customer
The customer is a sales object, including members. The client's location and area are related.
3, the area
is the geographical location. From a global perspective: Castle-National --- District; from the perspective of the country: district/city, county/district-town/towns/villages, it is generally divided according to the formal administrative unit.
4, time
time is a very important dimension for data analysis. The angle of analysis has the angle of the Gregorian calendar and the angle of the lunar calendar. Among them, the Gregorian angle: year -quarter -month -day -time period (one section every 2 hours); week and Gregorian holiday. The angle of the lunar calendar: Year -solar terms -day -time; lunar holiday.
(2) The indicator of sales data
1, sales quantity
The number of goods consumed by customers.
2, tax -included sales
The amount paid by customers who purchase goods.
3, gross profit
gross profit = actual sales -cost.
4, net profit
net profit = tax sales -tax cost.
5, gross profit margin
The sales gross profit margin is the percentage of gross profit margin to occupy sales revenue, and it is also referred to as gross profit margin. Among them, gross profit is the difference between sales revenue and sales costs.
mayes = (gross profit/actual sales) × 100%.
6, turnover rate
This is related to the time period of statistics. Turnover rate = (sales tag amount/inventory amount) × 100%.
7, the number of promotional times
The number of promotions has macro concepts and micro concepts. In macro, it refers to the number of promotions that launch a promotion in a sales unit for a period of time, or the number of suppliers participating in the number of promotions within a period of time; at the micro level, it means that a single product has participated in the number of promotions within a period of time to participate in the promotion. Essence
8, the number of transactions
The customer pays a transaction record on POS points as a transaction.
9, customer unit price
The total amount paid by customers in a transaction is called the customer unit price.
Counter unit price = sales/trading times.
10, turnover days
turnover days = inventory amount/sales tag amount. The longer the number of turnover days, the lower the operating efficiency or the worse the inventory management; the shorter the number of days, the higher the operating efficiency or the management of inventory.
11, return rate
The return rate = return amount/purchase amount (period); indicators used to describe operating efficiency or inventory management, which is related to time.
12, sold out rate
Selling rate = sales quantity/purchase quantity.
13, library sales ratio
The sales ratio of the library = final inventory amount/(the sales price of the current period/sales days*30)
(only the amount available in the single SKU calculation can be replaced.)
14, connection rate
The number of sales parts/number of transactions.
15, average unit price
The average unit price = sales amount/sales piece number.
16, the average discount
The average discount = sales amount/sales tag amount
17, SKU (depth and width)
English is called Stock Keeping Unit, referred to as SKU, defined as stored inventory control control The minimum available unit, such as a SKU in textiles, usually represents a specification, color, style), that is, the goods number, for example: AMF80570-1.
18, futures
The so -called futures, generally refers to the option contract, which refers to the uniformly formulated by the Futures Exchange and the standardized contracts that specify a certain amount of the subject matter at a specific time and place in the future. The clothing industry specifically refers to the goods ordered and delivered in installments at the order meeting.
19, ping effects
refers to the efficiency of 1 square meter of the terminal store, which is generally an important criterion for evaluating the strength of the store.
-ping effects = sales amount/store business area (excluding warehouse area).
20. Promotional products
The products specified during the promotional activity are lower than those of similar products in the market. Including DM products, store opening promotion, ordinary promotional goods (special offer), do not include normal price reductions.
(3) Analysis of sales data
1, analysis of direct data.
2, combination analysis of indirect data.
925 wholesale silver jewelry Dimensions, indicators, analysis