What are the functions of data analysis and business staff

4 thoughts on “What are the functions of data analysis and business staff”

  1. The purpose of the data analysis is to concentrate, extract and refine the information in the information that is not in a large number of messy data in order to find the inherent laws of the research objects.
    In practical, data analysis can help people make judgments in order to take appropriate action. Data analysis is a process of organizing destinations to collect data and analysis data to make it information. This process is the support process of the quality management system. In the entire life cycle of the product, including the process from market research to after -sales service and final disposal, the data analysis process is required to improve the effectiveness.
    The functions of business staff:
    1. Market conditions: In the analysis of market market data in business staff, there are data from industry store traffic analysis. Here you can clearly see some online store traffic indexes. There is also one. At the same time, you also know the product transaction data of the industry. You can see which product's transaction index is, and the industry's popular search words can also be seen here.
    2. Business overview: In the business profile in the business staff, we can see data from the number of visitors, browsing, payment amount, payment conversion rate, customer unit price, refund amount and service attitude score, etc. We can see a data that will be analyzed for one situation of the same day and the same period last week, and we can see it.
    3, transaction trend: The transaction trend in the business staff, you can see a data chart of the payment conversion rate of all terminals and the average payment conversion rate of all terminals.
    4, the trend of keywords: Here you can clearly see the growth of the traffic of the product keywords, so when making the product title optimization, you can select the potential level according to this data

  2. 1. Enter the keywords of the input product. After entering the page, you will first see the market trend, followed by market segmentation.

    . In the market trend, you can see the corresponding class purpose search index and transaction index. These two indexes are mainly based on data. Among them, the search index is an indexed search volume, reflecting the search trend, and the transaction index is the transaction volume brought by the search, which reflects the transaction trend. Generally speaking, you can understand the overall situation of the current industry through this data. If the entire industry is growing, it means that it is relatively healthy at this time.

    3. Going down, you can see the regional segment of the buyer who searched the product keywords to understand the main distribution of the potential audience, which is conducive to the in -traffic operation and the launch of the drilling exhibition in the later period Essence In addition, you can also understand the customs and habits of the customer's area, which is conducive to the closure of customer service and promoting transformation in the later period.

    4. The positioning of the crowd includes the gender, age, constellation, hobbies, buyers level and consumption level, etc., which is conducive to the analysis of user characteristics and consumer psychology. Taking the consumption level as an example, if you are still struggling with your pricing to go to the high -end or affordable, but through the index, most of the consumption levels of the user who searches the keywords are concentrated in low and medium. Then You may have to give up high -end pricing. When planning activities in the later period, try to do some discounts such as discounts.

    5. In addition to market trends, the shopkeeper also pays attention to market segmentation.

    6. Market segmentation includes two parts: category distribution and crowd preference. Class distribution can tell you how many categories are contained in the product keywords you searched, how much the proportion of each category is. Under different categories, what are the preferences for buying your products.

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