Understanding and understanding store performance is the core of growth, which becomes more important with the expansion. Moreover, if you hear the word \
The performance part provides a snapshot of the store within a specific date range compared with the previous time. Because it is basically monthly performance, we can soon know whether the sales are higher than the same period last year. However, you can also select the data of last week, quarter or year. The chart section shows the details of the selected time period, so you can understand the store performance in more detail. You can choose to display the following: Total sales net sales order average order amount sales variety report discount order total discount amount total tax order tax transportation tax distribution shows the data with the highest correlation with the total sales male store, please see the right side of the \
Click on the chart for more information. For example, clicking on the order chart allows you to view sales in different locations more widely over a selected period of time. In addition, a list of all sales that can be ed to a CSV file is displayed. The last part of the dashboard is the leadership board that shows the highest performance categories and products. The most important reports to use charts and performance data to improve stores vary from business to business, but we will introduce several common reports and how to interpret them for valuable insight. Total sales is the heartbeat of the store. Although it is not always the same as profitability, it is a fast method to evaluate the results. First, confirm the total sales in a specific month compared with the same month last year. The performance section next to each measurement item will display a red or green box with a percentage. The goal is to always keep this box green.
To see the long-term trend at a glance, just modify the date range. If you have never read the analysis, you may think you have been cheated by a red box this month and you haven’t done a good job. However, if you choose the range from the beginning of the year, you will find that it has actually increased, and it is a slow month. The longer the date range, the higher the applicability of the data. Suppose you have worked for at least 5 years and hired a new marketing manager on January 1. Select the time period 5 years ago to check whether the new administrator has had an impact on sales. Why is the date range important? If you only watch one month slower, you will think that the marketing manager can’t help. However, from the overview of the past five years, it can be seen that sales are declining every year, and new employees are actually reversing this process.
I know it’s easier to maintain existing customers than to find new ones. However, if you want to increase revenue without new customers, you must increase the average order size or purchase frequency. The average order size is important for all strategies. You may be running a new Google ads activity. The cost of securing customers in this way is high, but the average order amount is high enough to make the activity profitable. This measure can also help evaluate other marketing strategies, such as up selling and cross selling. Review the larger date range again to confirm that the average order amount increases or decreases over a few years. What changes can explain the differences?
If you have difficulty deciding whether to perform a class upgrade, please expand the date range to identify the person who has achieved the best performance in history. What do superior coupons have in common? Use this information to become the main upgrade program. 3. Quickly confirm the popularity category, sales variety and the type of project that has achieved the best results. You can also modify the date range to assess trends and ensure that specific categories perform better at different times of the year. Last year’s earrings are close to the bottom of the valley, but this year’s earrings may be the best. What are the reasons for this trend and what can you do to restore earring sales? 4. Similar to popular goods and sales goods, it can quickly determine the biggest winner, identify the trend and continue to grow. If seasonal goods are sold, the data of last year can be used to predict the projects with good performance this year. In general, in the categories near the bottom, you will find products with excellent performance. What can we learn from the success of this product? For strong data and growth, the simplified analytics dashboard is developed based on the opinions of store owners, who sell everything from consumer goods to professional services. It is designed to provide a quick overview of information that will help you grow your store. Take the time to identify the metrics that are most important to your business and regularly evaluate the data to maximize your success. You don’t need to be a data scientist. Just start!
