Absolutely correct. In Google’s world of big data, ml and ai those low quality reviews are just a bit of noise in the data set.
]]>Is there a negative effect of using hashtags in google reviews?
We have a unique hashtag for our brand and store, which we are using on almost all social media to stand out in the crowd.
So I feel some times the user also search with the hashtag on Google, and I wonder if the same hashtag is used in the Google Review will help to rank high on SERP or not.
Let me know your views on this.
Thanks and happy Easter Holidays!
Patrick – I have run experiments previously that have confirmed this behavior. This patent provides the theoretical framework to understand how it works.
]]>I believe personally myself that reviews are so important, so much I asked my clients whenever they do business with a custom, and they provide top quality service if they can ask their customers to leave a review.
For me, it’s just not the number of reviews, but also the consistency and freshness of reviews coming in on a regular basis.
]]>@Rudy
Firstly, let me note that I do not know if this patent and its techniques are actively being used.
That being said the “reverse bell curve” that you speak would have the affect of diminishing the effect of the attribute.
Negative reviews about a given characteristic of the business means that the attribute(s) highlighted in the reviews will become less strongly associated with the business thus making it less likely to show up in search for that term.
]]>My questions is, do you think Google can parse? For example a digital camera brand with a quality product would have a normal review distribution (few 1-stars, couple 2-stars, many 3-stars and 4-stars, fewer 5-stars) compared to a digital camera brand with a bad product who is paying for positive reviews which would have many 1-star reviews and an equally large and unnatural number of 5-star reviews to compensate.
If search engines just use averages then they’ll forever be gamed by those businesses willing to buy fake reviews en masse to cover up and out-weigh all the authentic 1-star reviews.
]]>@Chris
You are welcome