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Understand e-commerce data and data analysis
Understanding e-commerce data and data analysis mind map, the content includes: e-commerce data, classification, operational data, product data and applications. If you are interested, you can take a look.
Edited at 2023-03-02 22:15:56- bacteria
This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
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This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
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Understand e-commerce data and data analysis
- bacteria
This is a mind map about bacteria, and its main contents include: overview, morphology, types, structure, reproduction, distribution, application, and expansion. The summary is comprehensive and meticulous, suitable as review materials.
- Plant asexual reproduction
This is a mind map about plant asexual reproduction, and its main contents include: concept, spore reproduction, vegetative reproduction, tissue culture, and buds. The summary is comprehensive and meticulous, suitable as review materials.
- Reproductive development of animals
This is a mind map about the reproductive development of animals, and its main contents include: insects, frogs, birds, sexual reproduction, and asexual reproduction. The summary is comprehensive and meticulous, suitable as review materials.
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Understand e-commerce data and data analysis
The meaning of e-commerce data
Data that can reflect customer behavior, such as customer visits, customer browsing, etc., are obtained from scientific experiments, inspections, statistics, etc., and are used for scientific research, technical design, verification, decision-making, etc. The form of expression can be symbols, text , numbers, voice, images, videos, etc.
e-commerce data
behavioral data
Can reflect customer behavior, such as customer access status, customer browsing status, etc.
business data
Can reflect the operating status of the enterprise, such as the transaction volume of the enterprise's products, the rate of return on the enterprise's investment, etc.
Classification
market data
behavioral data
Competitive data
Operational data
Customer data, promotion data, sales data, supply chain data, etc. generated by the enterprise during its operations
product data
Relevant data generated around enterprise products, including industry product data and enterprise product data
Operational data
customer data
Data such as number of views and collections, and customer portraits such as gender and age
promotion data
Display, click, conversion and other data of promotion channels
sales data
Sales volume, order volume and other transaction data, response time, inquiry conversion rate and other service data
supply data
Procurement data such as purchase quantity and purchase unit price, and warehousing data such as logistics timeliness, inventory turnover rate, defective inventory ratio, etc.
product data
behavioral product data
Industry product search index, industry product transaction index, etc.
Enterprise product data
Customer acquisition capability data such as new customer clicks and repeat purchase rate
application
Traffic Analysis
Site
By conducting real-time statistics, sorting, and analysis of site traffic, enterprises can grasp the daily operation of the enterprise website at any time, discover operational abnormalities in a timely manner, and make adjustments or processes.
Outside the station
Analyze off-site marketing traffic Enterprises can control the traffic brought by different channels to optimize off-site advertising strategies.
other
Enterprises can use third-party platforms or their own platforms to monitor these traffic sources in real time, obtain data and conduct analysis to identify the channels that attract the most traffic.
Customer Analysis
Customer attributes
Customer device properties
Customer traffic attributes
customer behavior attributes
product analysis
Product analysis is to analyze the corresponding indicators of the product. Conduct analysis, such as analyzing product click volume, order volume, transaction volume, customer usage feedback, etc. By analyzing the product, we can determine the quality of the product Popularity, popularity type, customer purchasing situation, product profit situation, etc., to help companies achieve product realization Product upgrade and optimization.
Market analysis
Market analysis is for enterprises Analyze the development status and development trends of the industry and market, such as industry product sales, industry competition, etc. Combined with the results of market analysis, it can help enterprises determine decision-making content such as market positioning, product positioning, and development goals.