Amazon Search Term Analysis<\/h2>\n\n\n\n

A common question we hear from our clients is \u201cwhat search terms should we be paying attention to?\u201d either due to underinvestment or a \u2018blind spot\u2019 in coverage. Turning this question into a data problem, means getting a full, comprehensive view into not just where a given product is showing up on Amazon search (direct results), but also where the most closely related products are showing up as well (related results). For example, your brand\u2019s solar powered outdoor lamp may not be showing up for searches for \u201clandscape lighting\u201d, but a high percentage of the ASINs alongside your product on other searches do – underscoring that this is a valuable, untapped related search term.<\/p>\n\n\n\n

We\u2019ve found these insights also provide a view into the general mindset of consumers as they are shopping for a given product category. When you look at the larger universe of related terms for that outdoor light in the example above, are they more related to generic terms around outdoor landscaping, home lighting, outdoor lighting, or very specifically to solar lights? This helps both when formulating an advertising strategy, but also when developing product content to support your product detail pages – you can more accurately pinpoint what motivates your likely buyers.<\/p>\n\n\n\n

Amazon Competitor Analysis<\/h2>\n\n\n\n

Dovetailing off the prior analysis, we expose the specific ASINs most competitive with your own products within Amazon search pages, and catalog those over time. Layered into this view are metrics like price, how often the product ranks in the top three slots on the search page, and any additional discounts.<\/p>\n\n\n\n

This can be particularly useful when analyzing how \u2018entrenched\u2019 a given competitor\u2019s product is on key search pages, whether pricing may need to be changed to improve competitiveness, and when developing a competitor-focused PAT ad strategy on Amazon.<\/p>\n\n\n\n