Can you tell me all about the search engine on Amazon and its special algorithm?

It's a no-brainer, but unlike any traditional search engines (like Google itself, for example, which are designed to look for general information), a specific search engine on Amazon is designed mainly to help live shoppers with making their online purchases on drop-shipping webshops. Put simply, the search engine algorithm driving Amazon offers both organic and paid opportunities that allow a successful brand capitalization for every smart merchant selling over there. According to the most recent statistics, there are over 200 billion real customer searches estimated for this world's top popular ecommerce platform so far this year. And it's not surprising at all, simply because the latest related study researched something around 55% of potential buyers making their initial product search attempt particularly on Amazon. 

So, the question is – what are the main peculiarities of the search engine ruling over Amazon? And in what way the leading merchants selling over there can make their products be displayed prominently one line before the rest of active sellers? Here is the shortest yet probably a fully adequate answer – the search engine on Amazon is definitely comparable with Google's algorithm. From the other hand, however, it appears completely dissimilar with the one used by the world's search giant. Below I'm going to have a brief overview to cover both their fully similar properties, and the main points of diversity.

Relevance and Importance

Let's face it – all major search engines like Google are looking mainly for relevance and importance. Amazon is not an exception here, because it uses keywords and page content with the whole contextual text writings to determine and establish product relevance and importance for shopper-oriented item search. The only exception is that unlike Google, the search engine on Amazon analyzes a much smaller set of data, owing to a more structured information split into product categories and supported with category-related attributes, for example like weight, size, materials, etc.

Keywords and Long-Tail Phrases

Having a quality content rich with contextual keywords and long-tail key phrases is important for Amazon's ranking algorithm – just like in case with any traditional search engines. Note, however, that there are several completely mismatching properties for keywords seen on that crowded marketplace. 

Based on the most recent report regarding the Amazon Retail Analytics, here are the main points to give a more precise attention:

• The keywords with a high search volume are naturally converting well on Amazon.
• Performance marketing data on PPC campaigns usually helps to determine exactly which keywords have the highest search volumes over there.
• Most commonly, it's hardly possible to determine or at least partially reveal the actual search volume existing for a certain keyword query used by active shoppers on Amazon.

Customer reviews and testimonials are of core importance for the search engine on Amazon, as the lion's share of potentially new keywords may be found directly in those feedback sections. 

When taken separately, conversion rate itself can seem certainly less important for Amazon rather than on the major search engines like Google. Put simply, many sellers see evidence that those products having more traffic (and ultimately, sales) can take the highest ranking positions, therefore leaving conversion a little bit behind itself.