Keyword Research

In this video, Steven Pope demonstrates how to use various tools to conduct keyword research and offers helpful tips and insights for optimizing product listings.

The first step in keyword research is to brainstorm potential search terms that are relevant to your product. This can include both generic terms (e.g., “kitchen appliances”) and specific terms (e.g., “stainless steel toaster”). Once you have a list of potential keywords, you can use various tools to analyze their search volume and competition level. 

Ideally, you want to identify keywords that have high search volume and low competition, as these will be easier to rank for.

Another useful tool for keyword research is the Amazon Autocomplete feature. This feature suggests search terms as you type in the Amazon search bar, giving you insights into what people are searching for. The speaker in the video recommends using the word “social” to see if phrases containing it would show up in their search results and help them generate content for their product title.

Once you have identified your target keywords, it’s important to optimize your product listings accordingly. This includes incorporating keywords into your product title, bullet points, and product description. However, it’s important to avoid “keyword stuffing” – the practice of cramming as many keywords as possible into your listing, which can actually harm your search engine rankings.

In addition to optimizing your product listings, you can also use keywords in your Amazon advertising campaigns. By targeting specific keywords in your campaigns, you can increase the likelihood that your ads will be shown to potential customers who are actively searching for products like yours.

To use Helium10 for keyword research on Amazon, you can go to the ‘keywords list’ section and see what keywords a product currently has. You can also export multiple products to figure out what keywords are going to be the most important and then write your search terms on the back end. You would then go over to ‘Frankenstein’ and export it and the whole goal here is to export multiple products to figure out what keywords are going to be the most important and then you could write your search terms on the back end.