Winning bid data
Analyze the winning bid information of a single drug
Overview of award-winning varieties
It contains basic information such as the number of winning enterprises, distribution area, highest winning price, lowest winning price and latest winning price. Mastering this information is helpful to the analysis report of pharmaceutical companies' bidding and the selection of bidding areas. Pharmaceutical commercial companies can consider the direction of agents according to the winning price and area of the "drug bidding database" and their own situation, but these data have not been fully considered, and there may be great errors in decision-making.
Analyze the winning bid data
Winning bid history of varieties
Analyze the historical data of this variety (the historical data trend of the highest price, the lowest price and the middle price) to understand the fluctuation of drug prices. If the average price of this variety continues to fall, it may reach the end of its life cycle. There are still new varieties to replace; Caused by policy reasons; Variety industry chain and other reasons, different reasons will affect the final decision. Knowing these data can help us to know the winning bid history information of drugs in the "Drug Bidding Database", which is a product decision-making problem.
History of winning medicine
Variety analysis of successful bidders
Pharmaceutical companies are the most direct competitors. By analyzing the pharmaceutical companies with high or low bidding prices, we can analyze the causes of the prices so as to deal with them reasonably. For example, some enterprises can achieve differentiation by changing the packaging specifications, thus increasing the bid price. Enterprises in some areas have better government affairs and more advantages in winning the bid; Or the enterprise has a cost advantage; Or want to enter medical insurance, it is expected to change the price.
Bid winning area of varieties
Find out the provinces where the highest bid price, the lowest bid price and the average bid price are most frequently concentrated in the winning area, and make a reasonable quotation decision.
It is also necessary to know the distribution quantity of this variety in various regions. On the one hand, it is to know which areas the varieties cover and what the winning number is. Generally, a large number means a big competition, and vice versa. This set of analysis methods can also be used in the analysis of the winning pharmaceutical companies. Based on the above multi-dimensional analysis of a single variety and a single enterprise, I think we can get more sufficient decision-making basis whether we understand the needs of competing products or screen varieties.
The above winning data can be queried and analyzed in the drug bidding database. It is not difficult to analyze the winning data. The most difficult thing is to sort out and collect data, but also to ensure the authenticity of the data. This is a laborious job. If we use the drug bidding database, we can get the first-hand information about analyzing the winning information of enterprises' own varieties and competitive varieties in time, and provide limited data support for enterprises' bidding work.