Can you tell me all about the A9 Search Engine and optimization that converts?

The A9 search engine is also known by the name of Amazon’s unique algorithm designed to rank products listed on sale over there. And the thing is that it’s seemingly much like the original ranking algorithm used by the major search engine (i.e., Google itself), though not that sophisticated. I mean that the A9 Search Engine Optimization on Amazon is based on many general principles, which must be well-known by the lion’s share of apt SEOs. In other words, while the A9 search engine is commonly betting on several core ranking factors that are also considered by the world’s search giant to determine and award individual ranking positions in the list of the SERPs, Amazon SEO has a line of its own unique peculiarities. And the thing is that for some reason the very concept of ecommerce SEO is often underestimated by too many online entrepreneurs selling their products on that really crowded marketplace. It means that probably the only way of shaping a fairly well-optimized product page is making exactly what Amazon wants from you as a common seller who wants to climb to the top of the SERPs relevant to a certain item on sale or the whole product category. 

So, how to make your product listing backed with the best of must-winning content solutions and valid SEO techniques solely? I believe that most of Amazon sellers can easily make friends with the A9 search engine. Ultimately – to enjoy a measurable improvement in their search ranking positions for the main target keywords and long-tail product search combinations relevant their subject. Doing so, you can benefit from a greater web traffic and a higher rate of CTR (click-through-rate). That say, having both metrics moving the way of improvement, you will have a definitely better chance of converting an increasing number of your potential clients into the real buyers making purchases with you, besides occasionally coming back to your store to get another item obtained from your product listing. That’s why below I’m going to have a brief overview of the A9 search engine itself, its major ranking factors of top importance that are taken into account before anything else, as well as the rest of hidden things that also make the rule of the game and drive the whole Amazon marketplace in their own way. So, let’s delve in!

All You Need to Know about the A9 Search Engine

So, the question is – how to make most out of the A9 search engine so that every effort in product page SEO you are working there will always bring you that deserved gains in higher ranking on Amazon (better exposure to online search for relevant search queries), in-turn leaving the door open for pumping a greater volume of web traffic – directly to your product listing on Amazon, and finally benefit from its conversion-generating potential running at the maximum performance. After all, it’s far better to know what exactly the A9 search engine wants you to have with your product listing by default, and what probably needs a revision or, for example, a hard A/B testing to see what works well for you and what SEO tactics might as well be harmful to your progress on Amazon as the leading seller popping right among the best-selling items seen by every user on the top of the screen. And here are the main factors of the A9 Search Engine, amended with some practical suggestions and smart optimization ideas with a use-proven performance I took for my own ecommerce SEO to elevate Amazon conversions as well.

Official Statements for the A9 Search Engine Optimization

It may seem like a no-brainer, but I want to start with a piece of learning – just to understand what makes sense with the A9 Search Engine Optimization, and where to find the right points to put the primary focus. I mean that it’s a good idea to start with the source, isn’t it? So, let’s finally proceed with Amazon’s official guidelines and statements, which are actually recommended for every beginner seller. Okay, most commonly the majority of visitors don’t like consuming all those plain text writings found on the official site of this ecommerce platform. That’s why I’m going to start with only critical statements, which are of primary importance – just because the A9 search engine has been initially designed to comply with those broad ranking guidelines and optimization rules it has been revolving around for years. To that point, here are my best findings – I pulled together based on the official statement by the A9 search engine. So, here is what Amazon ranking algorithm is mainly focused on.

Two Stages of Calculating the SERPs by the A9 Search Engine

Search results are calculated long before a shopper fills in a query for a certain product keyword (or for example long-tail search term currently seen among top popular product requests on Amazon). 

1. The A9 search engine has a lot of different metrics available in advance, even before the customer decides to pay a visit trying to find a certain item he’s looking for. It means that at least descriptional text content seen in every product catalog over there stands already indexed, i.e., providing a lot of well-analyzed data, and taking into account all the most critical past traffic patterns. Put simply, Amazon is always prepared to meet every potential buyer with its massive “catalog” pulling together all the SERPs from only relevant product listings. 

2. That way, the A9 search engine moves to the second stage of this pretty simple process – just refining those too bulky all-round search results, and sorting them in a clear order so that everything is displayed in as “relevant” way as possible. 

Amazon’s A9 Search Engine vs. World’s Industry Giant

Note, however, that according to Amazon itself, with a line of factors related to “human judgments” the A9 search engine is intended to display such product-targeted and user-centric SERPs in the capacity of top relevant product listings that the live searcher is most likely to buy. It means that unlike Google, Amazon ranking algorithm is tracking every move and click taken by the live shoppers over there. Therefore, being focused mainly on the customer satisfaction, the A9 search engine strives to convert for even more. 

Put simply, the A9 ranking algorithm is doing best to develop an increasing number of shoppers who are already happy with their recent purchase – into purely loyal customers occasionally coming back to have another item obtained from their featured Amazon sellers, over and over again. As a result, It becomes clear that unlike Google itself, Amazon’s A9 search engine is revolving around just one straightforward task. I mean that Amazon is always doing best just to score the maximum RPC (Revenue Per Customer), rather than trying to make sense out of a much broader frame of mind, simply providing the most accurate response to the search query.

Cutting the Work in Half

That being said, Amazon’s A9 search engine is guided by a more straightforward approach than Google. As for the whole concept of Amazon ecommerce SEO taken at scale, I dare say that we can already benefit from cutting the work in half. The thing is that Amazon has only internal factors taken into account by its product ranking algorithm. So, when it comes to determining a corresponding ranking position for each item on sale over there, the A9 has no such thing as off-page SEO. Once again, given that Amazon recognizes only internal ranking factors related precisely to on-page SEO and nothing else matters – there is a number of different web metrics ignored by Amazon, for example, quality link building, social media presence, DA, PA. PageRank, etc. That’s why I dare say that the A9 search engine seems to be operating in a rather clean or even Spartan-like manner. As a result, it is hard to tell whether this is good or bad – but Amazon’s ranking algorithm makes things much easier, at least for digital marketers and SEOs.

Bottom Line

And now we can finally make a little summary. I mean that there are just three not too comprehensive and easily understandable rules for you to have a big picture of Amazon ranking taken at scale. So, given that Amazon’s product ranking algorithm has a really straightforward way of correlation with the process of A9 Search Engine Optimization (A9 SEO), here is all you should know about the A9 SEO so that it really converts. While the following three rules have got a quite clear look, their bottom line is of critical importance for us to understand the merits of Amazon optimization and the way it works. To uncover the most out of its conversion-generating potential, just read them twice to make sure you’ve got everything right.

Three Simple Rules about the A9 Search Engine

The ultimate goal of Amazon’s ranking algorithm is aaure the maximum possible level of RPC (Revenue Per Customer). And RPC is exactly what calls for Amazon’s satisfaction-oriented approach to the customer.

The heaviest accent of Amazon’s A9 Search Engine Optimization is given to the general behavioral patterns of the user that determine fair judgments about certain items or product categories. Such real-life sentiments prevailing the market, as well as the main statistical data collected from every user browsing over there, became extremely important for the A9. Just because it wants to know all about converting potential shoppers, who are found in their sweetest spot of the marketing funnel – just one step before making a final purchase with Amazon, word for word.

The main working principle of the search ranking algorithm on Amazon is to pull together all that real-life tracking data about the customers (Clause 2) to finally correlate it with the ultimate goal of maximizing margin yielded with each item successfully sold over there (Clause 3).

Core Ranking Factors of Amazon’s A9 Search Engine Optimization

Based on the official site of the A9 algorithm, accompanied with some additional info available with Amazon Seller Central account, I would like to group all core ranking factors in a clean & clear order that makes a really perfect sense, particularly from the viewpoint of conversions. So, all product ranking factors are falling into three categories listed below.

• Conversion Rate – this category of Amazon ranking factors are mainly revolving around customer reviews, product pricing, and showcase image quality. Taken in general, Amazon’s A9 Search Engine recognized such factors as capable of spilling a statistically relevant effect over Conversion Rate taken at scale.
• Relevancy – as it was already mentioned in the beginning, the first preparatory effort taken by the A9 search engine is meant to result in making up a massive “catalog” pulling together all product listing pending on their relevance. This category is mainly addressed to Product Title, Product Description, and the way of content optimization for the key target search terms.
• Customer Satisfaction – once again, Amazon believes that the only secret approach paving the way to the maximum average level of RPC (Revenue Per Customer) tends to encapsulate a happy, loyal client occasionally coming back for another purchase with Amazon. What makes loyalty? Seller feedback and Order Defect Rate average.