How to do store data analysis? What is the process of online store data analysis?

In fact, data analysis is not so difficult, as long as you can remember a formula: sales = impressions, click-through rate, conversion rate, and average customer value.

First of all, analyze whether the baby is displayed, if not, you have to find ways to break through, such as free traffic, activities, paid traffic, etc. If there is a show, but there is no visitor, you have to analyze whether the product itself has market demand, whether the main picture of the baby is attractive enough, and whether the selling points and pain points are excavated. It is also a sensitive thing, so you should do market research beforehand, analyze the portrait of the buyer group, and be clear about who the product is going to sell to.

If there are visitors, but there is no sales, it means that the baby's conversion rate is not good, and the baby's jump rate is very high, so we have to constantly optimize our details and optimize our internal strength.

If you need it, you can contact Rentuo Data Technology (Shanghai)****, the company's "Data Might" and "Intelligence Tong" are well-known e-commerce big data brands, the database has covered Ali, Tmall, Jingdong, Suning Tesco, Gome**, Kaola, Amazon, Rakuten, Yahoo and many other e-commerce platforms, becoming a brand e-commerce welcome data service products and industry research experts, customers all over China, Hong Kong, China, Japan, South Korea, the United States, Australia, the European Union and other countries and regions.

Store data analysis, whether it is a physical store or an online store, some of the analysis content is consistent. For example, sales, the composition of sales of goods, the best-selling list and the unsalable list, the gross profit margin and gross profit of the goods, the new and lost of store customers, the unit price of customers, the change and regularity of the store's weekly sales, such as the time period of the day's best-selling, etc., as well as the analysis of the store's first-class activity effect. If it is an online store, it is also necessary to focus on the analysis of traffic** and composition, production ratio, analysis of visitors, which pages and products are more popular, visitor distribution area, age, purchase**, whether you are using a PC or a mobile phone, whether the mobile phone is using Android or Apple, payment methods, etc.

1. The number of unique user visits

This is what is often referred to as UV, i.e. how many computers access it within 24 hours** (UV and IP are not the same).

2. Percentage of active visitors

If you're targeting the right target audience and being easy to use, you can see that this metric should be on the rise.

3. Loyal visitor rate

The average number of pages visited per long-term visitor, which is an important metric that combines the number of pages and the time.

4. Customer conversion rate

Conversion rate is the ratio of the number of conversion closures to the total number of clicks on promotions in a statistical period. The conversion rate is the core of whether the company can make a profit in the end, and improving the conversion rate is the result of the comprehensive operational strength.

5. Unit price

The average amount of money purchased by each customer, i.e., the average transaction value.

6. Customer satisfaction

Customer expectations.

How well it matches the customer experience. In other words, it is an index that customers derive by comparing the perceived effect of a product with their expected value.

7. User return visit rate

Measure how engaging and useful the content is to visitors, and whether there is interesting content that keeps visitors coming back for more.

8. Return on investment

It is used to measure the return on investment of marketing expenses and allocate money to the marketing methods that have the highest rate of return.

1. Independent positioning analysis: Anatomical analysis of the self of the company, with the aim of finding the basic problems of the company; Positioning: E-commerce positioning for enterprises, and clarifying the location of Nacongsun; **Business Model Analysis:

Analyze the e-commerce model of the first class and study the e-commerce model that matches the first and highest level; Industry competition analysis: industry competition, comprehensive analysis of industry competition; **Development plan analysis: e-commerce** short-term planning and long-term development strategy implementation feedback analysis, etc.

2. Independent objective diagnosis: whether the structure of the independent is reasonable, effective, convenient, and in line with the user's access habits; Surface diagnosis: whether the page is concise, whether the page is clear, whether the page capacity is appropriate, and whether the page color is appropriate; File & File Name Diagnostics:

file format, file name, etc.; Access system analysis: statistics system installation, source analysis, regional analysis, visitor analysis, keyword analysis, etc.; Diagnosis of promotion strategy: whether the promotion strategy is effective, whether it is backward, whether it adopts a compound promotion strategy, etc.

3. Marketing analysis keyword analysis: whether the keywords are appropriate, whether the keyword density is reasonable, etc.; Search engine login analysis: what kind of login method is used, and whether the login information is valid; Link Relevance Analysis:

Whether the popularity of the link is high and whether it is a relevant link; Target Market Analysis: Analyze the target market and study the relationship between the target market and marketing; Product analysis: analyze the characteristics of the product, the selling point of the product, etc.; Marketing Page Analytics:

The location of the marketing page, the content of the marketing page, the feeling of strength of the marketing page, etc.; Marketing channel analysis: how to use marketing channels and how to develop new marketing channels; Follow-up product and service analysis: follow-up product development, service feedback analysis; **Analysis:

How, reasonableness, etc.

Fourth, comprehensive optimization of independent architecture optimization: structural optimization, e-commerce operating environment optimization, etc.; Independent** page optimization: page Zheng Zheng layout, page design optimization; Stand-alone ** Navigation Design:

Fifth, the integration of the promotion of traffic promotion strategy: the key is the traffic problem, in this process will use many network marketing methods; External link promotion: the use of friendly link strategies; Viral Marketing Strategy:

Specific strategies need to be used flexibly; Other promotion: pay attention to network changes and develop new promotion methods.

1.**The core idea of self-diagnosis of the store: find out the data support through the operation of data talk.

2.Diagnostic steps: From large to small, through the analysis of the store, the basic analysis of the store, the analysis of product analysis, the analysis of traffic composition, and the analysis of conversion, and finally implement the traffic and conversion point of a single product.

a**Judgment. Based on the judgment of their current competitors, they have checked the analysis of competitive stores at the same level, as well as the top analysis of the category.

B store analysis: the store is composed of popular models, popular models, flat sales, all store sales form the level of the store, and the core indicators of the store are daily sales changes, customer unit price, conversion rate fluctuations, and traffic data analysis composition.

Taoke. Train. Drill Show.

Live StreamingContent. Tmall supermarket.

Hand Tao Home Through the structure of the above simple hole digging down the analysis level by level!