Different take-out platforms have different rules for ranking merchants.

However, no matter on which platform, if you want to win the first or higher ranking, you must first understand the ranking rules, find out what factors will affect the ranking, and carry out targeted promotion.

The ranking method of the take-out merchants of Meituan is that the system comprehensively scores the merchants and ranks the merchants according to the scores.

The factors influencing the ranking are divided into four categories, namely, business factors, transformation factors, scene factors and user factors. First, business factors

service quality

service quality will affect the ranking of merchants. The main basis for measuring service quality is user rating, including rating of merchants and rating of delivery.

merchants should pay attention to the scores of these two aspects, reduce abnormal orders for non-customer reasons, and improve user satisfaction.

sales

The overall sales (paid amount) of merchants on the Meituan takeaway platform also has an impact on the ranking. Merchants should pay attention to ensuring business hours and distribution scope.

activity intensity

Take the full reduction activity as an example, the discount intensity of over 31 minus 11 is greater than that of over 31 minus 5. The greater the intensity of the activity, the greater the attraction to users, which can promote the ordering and indirectly affect the ranking.

however, to measure the strength of a preferential activity, it is not to look at the nominal discount, but to look at the actual situation that users can enjoy. Therefore, businesses should pay attention to setting up real and effective activities. Second, the conversion factor

How many people in a business visit the store is called the "visit conversion rate";

how many people visited the store finally placed an order, which is called "order conversion rate".

both the visit conversion rate and the order conversion rate will affect the ranking. therefore, merchants should improve their online operation level, enhance the attractiveness of lists and store displays to users, and then improve the visit conversion rate and order conversion rate. Third, the scene factor

The matching degree between the main category of the merchant and the takeaway scene will also affect the ranking.

for example, merchant a is mainly engaged in drinks, with strong user demand during afternoon tea and weak demand during dinner; Merchant B is mainly engaged in Chinese food, with strong user demand during dinner time and weak demand during afternoon tea time. If all other factors are the same, then the afternoon tea time A is higher than B, and the dinner time A is lower than B..

merchants should set the correct main categories and make good use of the exposure opportunities with high conversion rate in the period of strong demand and in specific channels. Fourth, user factors

The take-away platform will use big data to mine users' preferences and intelligently rank merchants. The ranking of businesses seen by each user is different.

In the user's list of merchants, the merchants that the user has often clicked and given favorable comments, as well as other merchants similar to them, will rank relatively high; Merchants whose average order price is close to the user's own consumption level will be ranked relatively high; Businesses that users themselves have given bad reviews will be ranked relatively low.

Therefore, serving every user who places an order well and cultivating repeat customers will help businesses to continuously obtain high rankings.