In the era of e-commerce, online shopping has become common in major towns and villages. When online shoppers search for related products and make comparisons, in addition to habitually looking at the store level and describing whether the overall logistics service department is higher than or lower than their peers as a basis for judgment, more You will still make judgments based on the reviews of consumers who have purchased. You can find real feedback in the customer reviews. After all, the details of the web page are displayed after the merchant ’s PS , and there is still a certain difference with the real thing. Therefore, the quality of e-commerce evaluation is not only good or bad. It can affect people's consumption habits, and it can also reflect whether a product is reasonable.
Whether you're a brand or a market research company, how can you make the most of these comments? You can use Anto's e-commerce evaluation collection system to collect the evaluation content of major platforms, including additional comment content, and you can also set the time period according to the evaluation time you need. For example, when new products are launched, reviews are collected once a week, and consumers’ feedback on new products is collected in a timely manner, and corresponding adjustment measures are made. At present, many platforms have fixed the display of comments, showing the first 1000 or 2000 of the latest comments, but the system can still collect that part of the data, and the data accuracy rate can reach more than 95%.
In addition to the above, the system can also distinguish between hidden comments and normal comments. For example, the Jingdong platform will fold the comments that are useless to consumers, and 1,000 folded comments can also be viewed . Some clients do not need that part of the collapsed reviews for analysis, but some clients need all of the reviews. In order to facilitate customer demand, the system will automatically distinguish between folded comments and normal comments, which brings great convenience to customers.
Only when the evaluation data is collected as complete as possible can the data be of the greatest value and the analysis be meaningful. Anto has a lot of experience in e-commerce data collection / comment data collection. Currently, it supports data collection from more than 20 e-commerce platforms, with more than 40 collection fields. Hundreds of brands have trusted them for many years, and have successively won Fangtai and Midea. Waiting for the title of "Best Service Provider" of large enterprises, if you also have needs, you may wish to give it a try.