About this video
Hi guys, our new video is out 😎
in this video, we share with you our views on the demographics report in the Brand Analytics section.
1) what is it consisted of, and how to set up the right date range 2) using the Age report to understand what social media platforms you should be present on 3) adjusting your product design according to the household income data (price and the perceived product value) 4) learning how to adapt your content marketing strategy to the education level of your customers 5) making your listing's copy more gender-oriented, according to the data
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Transcript
Frequently asked questions
Q: What is the Amazon Brand Analytics Demographics Report and who can access it?
A: The Demographics Report is part of the Brand Analytics suite in Seller Central and shows a breakdown of your brand's customers by age, household income, education level, gender, and marital status. It is available exclusively to sellers enrolled in Amazon Brand Registry in the United States and requires a minimum of 100 unique customers per reporting period before data becomes visible. It provides aggregate, anonymized data, meaning you see patterns across your customer base rather than information about individual buyers.
Q: How can the age data in the Demographics Report help me make better marketing decisions?
A: The age breakdown tells you which generation is predominantly buying your product, which in turn points to where you should be investing in social media and content. If the majority of your sales come from the 25 to 44 age group, that audience spends most of its time on Instagram. If your buyers are older, typically 55 and above, Facebook and email marketing tend to be more effective channels. Knowing this prevents you from investing time and budget building a presence on a platform where your actual customers are not spending time.
Q: What can household income data tell me about my pricing and product strategy?
A: If the majority of your buyers come from lower household income brackets, it signals that price sensitivity is a real factor in their purchasing decision. In that case, promotions, coupon codes, and value-for-money positioning are likely to outperform premium messaging. If your buyers are concentrated in higher income brackets, they tend to be less price sensitive and more quality driven, which justifies investing in better materials, more premium packaging, and a higher price point. The household income data essentially tells you how much room you have to move on price before it starts affecting conversion.
Q: How does gender data from Brand Analytics translate into listing improvements?
A: If the data shows that your buyers are predominantly one gender, you can align your main listing images, A+ content, and storefront visuals to speak more directly to that audience. Colour choices, the style of product photography, the tone of your copy, and the pain points you emphasize in bullet points can all be adjusted to better match what that demographic responds to. For example, a product with a predominantly female customer base warrants different visual and copy decisions than the same product selling primarily to men, even if the product itself is identical.
Q: Should I use weekly or monthly data ranges in the Demographics Report?
A: Use weekly or shorter ranges when you want to analyze customer behavior during a specific event, such as a holiday sale or a product launch, to understand which demographic responded most strongly. Use monthly or quarterly ranges when your goal is to build a reliable picture of your core audience over time. Shorter ranges are more volatile because they reflect fewer purchases, while longer ranges smooth out fluctuations and give you a more accurate representation of who is consistently buying from your brand.
Q: How can I apply demographic data to my Amazon advertising campaigns?
A: The most direct application is in Sponsored Brands campaigns, where you have the ability to write custom headline copy. Knowing your audience's age, education level, and gender lets you tailor that messaging to resonate with the people most likely to buy. Beyond Amazon, household income and age data can be used to refine audience targeting in external campaigns, since platforms like Google Ads support household income filters for the US market. This allows you to exclude audiences that the data shows rarely convert for your product.
