When one is given a ride by Amazon in search of any product often pay close attention to its price and the same images, but one of the factors that may decide to purchase is the opinion that other users have posted about this product.
The problem is that the opinions of Amazon system has become a complex combination of opinions that we find both critical legitimate and others that are intended to make that a product is to succeed (or sinking) in sales. The business of perceptions It makes it very difficult to rely on these ratings, but what to do in those cases?
It is possible to detect fraud
The truth is that the problem is typical of any other service that is they can leave opinions about products. Already talk about how many projects end up being slaves of the stars: the assessment that we find them on the internet is not good, we went home, but if it is attractive enough, we decided to take the final step and make the purchase.
Amazon tries to not be so clear. The service managers indicate that It is forbidden to manipulate the opinions of customers and in fact specifically prohibit “balanced views”. Or what is the same: people post fake reviews (positive or negative, gives equal) on certain products in Exchange for money or other compensation.
In WireCutter have tried to give some tips to identify whether or not a product has false views. Fakespot is a service that is dedicated precisely to analyze the opinions of Amazon (only on amazon.com, not in amazon.es for example), but there are two signs it allow us to identify with enough certainty:
- Many positive (or negative) opinions very straight: If a product is full of opinions from a same sign and these are written in a very small time frame, maybe that we find in the typical case of false appraisals. Here it is best to compare with the rest of opinions to see if that pattern is really clear on all assessments or not.
- They are used very similar phrases and expressions: There are suspiciously similar opinions even in the way of being written, and in some cases identical to the of other opinions extracts. Again, warning sign.
Where we find suspiciously cheap products, the ideal is to treat of check if that company seems to trust (do you have web site? is there support? is it easy to contact them?) before making the final decision.
As noted in that article, at Amazon, there is a program of “honest” opinions called Vine in which certain users are given them products in Exchange that they give full opinions (albeit with criticisms) and valuable to other users.
Here it is evident that subjectivity is limited – to start, think about something that we have given is harder to criticize it-, so also must be careful in that regard. In the end the conclusion is the same: these estimations may be useful as a reference, but Beware of relying on them absolute way to make a purchase decision.