Current location - Recipe Complete Network - Catering industry - Takeaway operations daily should count those information
Takeaway operations daily should count those information
Statistics of the following information

I. Analysis of the business district

A good operation company will analyze the situation of your business district through the following points:

1. Human environment

Different regions have different requirements for the taste of food as well as brands. Therefore, you must carefully analyze the human environment of the business district.

2. Consumption level

This is very easy to understand, the overall consumption level of the business district will basically determine the maximum and minimum pricing of your products, as well as the arrangement of discounts and reductions.

3. Traffic situation

The traffic situation of the business district has a direct impact on the distribution range of your restaurant, as well as the rate of offline visits.

4. Traffic

The traffic situation around the business district directly affects the efficiency of the rider's delivery, we should be appropriate communication, according to the different delivery areas to adjust the transportation, such as certain sections of the mountain city, the deliveryman walking even faster than riding a bike

5. Market saturation

For the business district competitors to analyze, according to different competitors Take different optimization programs, at the same time should inform the owner of the restaurant market saturation, too many competitors, even in the powerful generation of operations is difficult to have a reasonable profit generation.

Two, the user to analyze

The current takeaway users have basically stabilized, and now takeaway stores should meet the user's consumption experience, so that the user's stickiness is comprehensively improved, how to do, through the following points for everyone to explain:

1. Meal time

Each business district of the user's mealtime is different, and some of them are The user's breakfast click rate is relatively high, some people click in the morning, a click rate to the evening crazy spike, which has an inextricable relationship with the user attributes, analyze the user's meal time is also the basic work on behalf of the operation must be.

2. User income

From the user income, we can basically see that the market classification of the population, basically divided into three categories: white-collar market, the campus market, the living community market, the company should be based on the operation of the different markets to develop a different pricing system, the owner of the store should be based on the different markets for the launch of the corresponding reasonable dishes.

3. male-female ratio

According to HungryMan statistics, the price of women's orders is always higher than that of men's, which shows that women pay more attention to the quality of takeout, and if the ratio of women in the business district is high, the owner should develop higher quality dishes, and the company should develop a reasonable pricing system to optimize the reasonable decoration of the store.

Three, optimize the store

After all the above data analysis, the excellent on behalf of the operation should optimize the structure of your store is as follows:

1. store diagnosis: the exposure of the online store, the conversion rate, the re-purchase rate of diagnosis and analysis of the reasons

2. basic configuration improvement: store name, classification sorting design, the starting price, the delivery charge The basic configuration is perfected: store name, classification sorting design, starting price, delivery fee, delivery method, etc.

3. Copy content design: design of store announcements, classification of dishes, dish names, dish descriptions, dish labels to add

4. Store decoration program: store logo design, door poster design, holiday hotspot poster design, beautification design of all the dishes

5. CPC bidding: bidding for promotion of the design, Other test marketing promotions, comprehensive ROI statistics

6. Store data analysis: daily store data report, weekly store data feedback, monthly data review

7. Profit structure program: product pricing design, store marketing activities design, product architecture design (explosive, profit, diversion)