1. Analysis method of bad review data
Bad review data analysis refers to grabbing the bad review data of the best-selling products on the platform, finding out the customer's dissatisfaction, and then improving the products or selecting the products of suppliers that can solve the customer's pain points. The analysis of bad review data focuses on capturing bad review data, and at the same time, it focuses on analyzing the favorable data of goods and analyzing the real needs and expectations of customers.
In other words, the analysis method of bad review data can not only find reference from product praise, but also mine useful information from bad review. Choose a product that can meet the pain points of customers, and the product will naturally gain considerable exposure and sales will start quickly. However, it is not easy to obtain these data, which requires a lot of time to collect and spend a lot of time on data analysis.
Suggestion: When doing data analysis, there are great opportunities to use data analysis tools, such as Terapeak, Trendsamazon, Digital Chief and other research tools. And it is also likely that you need to entrust data analysts to use data mining tools for analysis.
2. Select the combination analysis method
The product selection combination analysis method refers to selecting products with the thinking of product combination, that is, planning 20% of core products when establishing product lines to obtain high profits; 10% explosive acquisition flow; 70% of normal products are used to cooperate with each other. The choice of products should be aimed at different target customers. Don't choose all products at the same price segment and the same quality. A certain price and quality ladder can generate more orders.
Here is a special talk about explosive products. How to choose explosive products? We can refer to Amazon's sales ranking and set up explosive products with reference to popular products. In addition, whether it is core products, explosive products or ordinary products, we must evaluate the gross profit of products when choosing products. How to calculate the gross profit of products? Simply put, gross profit of single product = sales unit price-purchase unit price-freight cost of single product-platform cost-drainage cost-operating cost.
Suggestion: Core products tend to choose niche and high-profit products. Explosive products tend to choose popular products or products that follow hot spots and will be popular. Normal products often choose products with higher prices, that is, products with higher value but which customers think are moderately priced.
3. Google Trend Analysis
Google Trend Analysis refers to using Google's data analysis tools to analyze the external industry information and internal business information of enterprises, and dig out valuable information as a reference for product selection, that is, using Google Trend Tool to analyze the periodic characteristics of categories, using keyword spy tool to discover the category search heat and category keywords, using Google Analysis Tool to obtain the sales information of products that have been put on the shelves, and analyze which products sell well and how the overall sales rate is.
Google trend analysis relies on the overall data and trends of the industry, the sales of brands in the industry, the sales and distribution of categories, the sales data and prices of single products, and the sales data of at least three core stores and major competitors in the industry (traffic, conversion rate, bounce rate, customer unit price, etc.). In addition, Google Trend Analysis emphasizes accumulating experience from successful and failed products and gradually becomes an expert in product selection.