What is AMZ-MAX? AMZ-MAX Review

Core Advantages

1. Integration of heterogeneous data sources

Compatible with data exported by various plug-ins and websites, it can quickly clean .CSV files exported by AMZscout, Junglescout, Instant Data Scraping and Google Trends through Excel VBA, support massive data upload, compatible with .xls / .xlsx data source types, easily integrate all relevant business data, and help Amazon sellers eliminate data silos.

2. Data visualization analysis

Data visualization allows boring data to be presented in a simple and intuitive form, saving a lot of data processing steps and greatly improving operational efficiency. It solves all technical problems and reduces the difficulty, allowing sellers to focus more on the business itself, helping sellers discover opportunities and value from the data, giving you more time for decision-making and action, so that 10% of the time can create 90% of the value.

3. Exploratory Data Analysis

The value of big data does not lie in having huge amounts of data, but in the need for professional exploratory analysis of the data to tap into its potential value. Based on exploratory data analysis, using list filtering, time filtering, chart linkage, focus drill-down and other functions, you can achieve in-depth interactive analysis with a simple drag and drop, and easily achieve full-dimensional data drilling, helping users quickly locate and discover problems.

4. Data analysis dimensions are comprehensive

AMZ-MAX BI has professional big data analysis experience in the industry and supports Amazon's global site analysis. Data analysis covers product selection analysis, market analysis, competition analysis, product analysis, competitive product analysis, advertising analysis and store analysis. Comprehensive data analysis dimensions plus intuitive and easy-to-understand visual reports allow every seller to understand data analysis, so that every decision you make during the operation process is supported by data.

5. Reduce operating costs

Technology and time both cost money. Sellers lack efficient and automatic analysis methods and waste a lot of time on repeated and ineffective trial and error. Only a small amount of time is actually used for data analysis. In addition, it is difficult to recruit data analysts who understand Amazon in the market. These require a lot of manpower costs to do analysis. Our data analysis method draws on the industry experience of many large sellers, rich practical experience and perfect analysis logic to help you get the maximum benefit with the minimum investment.

6. Simple, professional and easy to use

We strive to find a balance between simplicity and professionalism. You don't need to have an IT technical background or statistical knowledge. You only need to upload Amazon-related data tables to automatically generate professional and exquisite data analysis reports, helping each company reduce a lot of technical and time costs, so that every Amazon operation can use professional data analysis tools.

Application Scenario

1. Operations Director.

2. Product manager.

3. Data analyst.

4. Art designer.

5. Store analysis.

6. Pricing analysis.

7. Advertising analysis.

8. Order analysis.

References