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zahid
Jan 17, 2022
In Real Estate Forum
Price monitoring is regular, ie even constant monitoring of market developments, study of trends (future-cast), comparison of competitors' prices and detailed analysis of the latest projections. The pricing policy of the company is one of the key points that has a direct impact on the success aspect of the business. Analyzing competitors' price changes and variations in cost parameters is a very important step to complete. Depreciation factor which leads to cost reduction on the same products you provide will have negative consequences, to the point that potential customers may choose another e-commerce site for online shopping where the prices are more attractive. According to the study, 81% of US shoppers Cyprus Mobile Number List consider pricing policy to be the important factor when choosing which website to do business with. At a time. 85% of young users (the category of consumers up to 35 years old) prefer to compare the offer of different sellers on the Internet, while making certain purchases using handheld screens. There is now a wide range of useful services online to monitor competitor prices and other parameters, filling in information regarding the product group of interest. As a result, the Internet user, who tried the price analysis procedure, would receive the report with the dynamic analysis of the rival companies. In addition to the described options, the forecast of price deviations with the available dynamics of cost changes is generated. It is possible to offer the most competitive prices on the market and thus win more and more customers. Automated parsers are able to analyze prices several times faster than the manual analysis procedure allows. Competitor price analyzers will be useful both for those who only plan to open an online store, and for owners of already operational business websites. These services analyze online stores, price lists and information collected from e-commerce platforms. Among the real options is the ability to find competitors based on a set of parameters: product description, brand, model, etc.
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