The secret behind the data, the championship education tells you
Many newcomers who open online stores do not read the data, and they ask three questions about the specific situation of the store every day. In this state, I want to say: I’d better find a class…
(1) What is the use of daily data analysis? You need to look at the data to understand the secrets behind the data! Let’s talk about it today.
Traffic-related data: IP, PV, online time, proportion of old users, proportion of new users.
Order-related data: total orders, valid orders, order availability, total sales, customer unit price, gross profit margin.
Conversion rate related data: order conversion rate, payment conversion rate.
(2) Weekly data analysis
The user’s order and payment may not be completed on the same day, but the data of a week is relatively accurate, so we use the weekly data as the reference object for comparison. The main purpose is to compare the data between the previous week and the previous week. The operation has done a certain aspect of the work, and the product has made a certain adjustment, and the corresponding data will also change to a certain extent. If there is no improvement, it means that there is a problem with the method or its own problem and it is related to this.
- Website data
IP, PV, Average Pages Viewed, Online Time, Access Depth Ratio, Access Time Ratio. This is the most basic. It is not easy to improve every data, which means that to continuously improve the details of every problem found, it is necessary to constantly improve the shopping experience
- Operational data
Total orders, valid orders, order efficiency, total sales, customer unit price, gross profit, gross profit margin, order conversion rate, payment conversion rate, returns; daily data summary, weekly data must be stable, mainly compared to For the data of last week, focus on analyzing internal work, such as product guidance, pricing strategy, promotion strategy, free shipping strategy, etc.
When analyzing, we consider three questions:
1: Compared with the data, why the number of orders decreased? But the sales increased? Is this a good thing?
2: Compared with the data, why has the unit price increased? But the profit margin has decreased? Is this a good thing?
3: Comparing the data, can it be done: sales increase, profit margins increase, and orders increase?
(3): User Analysis
Membership analysis data: total number of members, shopping ratio of all members (new members, old members)
Member repurchase rate
Conversion rate
(4): Analysis of traffic sources
Traffic analysis is to guide the development direction for the operation and promotion department. In addition to focusing on the conversion rate, other indicators such as the number of pages viewed, online time, and visit depth are all indicators of evaluating the value of the channel.
(5): Content Analysis
The main two indicators: the homepage decoration and the purchase rate of the baby details page.
Check which product sells poorly and which product sells well. Basically, some problems will be explained. Then the whole team will focus on discussions, find problems, give opinions, and then make improvements in turn.
The homepage must be in line with the hot content, learn to read the news, learn to read the weather, analyze what consumers are most concerned about, what products they like, check the promotions and decorations of peer stores, etc., learn the essence from others, learn to apply .
Data is the core of our store. Only by operating and adjusting according to data can we make our store better and better. To win the championship directly, this is the difference between earning 100 per month and earning 10,000 per day!