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Captain BI, the data analysis software is quite comprehensive, including data analysis such as market, product selection, keywords, etc., as well as the analysis of Amazon sellers' own store data, which can be calculated clearly and simply to calculate store profits.
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When I used to do data analysis, I used the forespider collection system to collect Amazon's product data, and on the whole, the collected data is still relatively reliable, as long as the template is configured, the collected things can be used directly, you can try it, or ask their customer service directly.
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Amazon's data analytics tools are as follows:
2. Keepa: According to user tracking and understanding, help find suitable products.
4. AMZ Base: It can quickly help sellers search and find products suitable for sale on Amazon.
Data analysis recommends Jungle Scout, which is a must-have software for Amazon data analysis, processing 2 billion data points per day, with a data accuracy of up to 90%, and supporting 17 Amazon sites.
If you want to know more about data analysis, Jungle is the world's leading international e-commerce data analysis tool, which has developed into a business consulting SaaS tool for international e-commerce that is being used by 600,000 Amazon sellers around the world - integrating data selection, market trend research, ** chain function, keyword search and reverse check, listing optimization, automatic invitation and evaluation, and store profit analysis, providing sellers with one-stop service from product selection to operation. <>
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It can help you dig out the core traffic words of Amazon's competing products, so that the competing ASINs have no secrets in front of you.
2. Assist in optimizing listings4. Save PPC costs
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Quest is a multi-task data mining system developed by IBM's Almaden Research Center to provide efficient data mining building blocks for the application development of next-generation decision support systems. The system has the following characteristics: It provides the function of carrying out various mining on large databases
Association rule discovery, sequence pattern discovery.
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Many of the analysis tools that we use are some that we are used to using ourselves.
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In the past two years, Amazon sellers have realized that a single product on the market has been unable to meet their various needs on the road to branding. Chain data, financial data and other data systems create a real-time, comprehensive and accurate data centralized platform, and have intelligent statistical analysis functions, which makes it popular in the industry.
Let's take Jijia ERP as an example to talk about it briefly:
1.Through RMA and label management, the product module allows sellers to analyze and classify after-sales problems, do a good job in product update and iteration, and assist in improving product quality;
2.The operation module mainly conducts statistics and analysis on advertising data such as ASINs and keyword advertising rankings, which can help sellers scientifically adjust advertising strategies, maximize advertising benefits, and achieve refined operations.
3.**The chain module can monitor all the circulation status of products, realize the whole chain data monitoring, count the ideal inventory, and let the seller manage the inventory scientifically;
4.The finance module can meet the different data needs of business and finance, and use business adjustment as the basis for decision-making in a timely manner, so as to improve the financial control ability of sellers.
Such a digital closed-loop system not only allows all departments of Amazon sellers to work together efficiently, improve operational efficiency, but also improve the quality of seller decision-making.
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The Purple Bird Database Rubik's Cube is a bright envy for analyzing the data of Yazhao and Masun.
Developed by the country's top big data analysis team, Data Cube provides Amazon sellers and Jianfu with big data services such as hot sales ranking, competitive product tracking, keyword mining, store analysis, ranking locking, etc., and is committed to helping sellers quickly mine popular products and increase sales! What tools and software are there to analyze Amazon data.
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