Benchmarking your Amazon ACoS against your peer group allows you to see if there is potential to increase the efficiency of your campaigns—e.g., by optimizing your bids or by adding more negative keywords.
Key datapoints from our recent Amazon benchmarking efforts including the role Amazon plays for brands and Prime Day 2023 plans.
Read Perpetua's Amazon Advertising Benchmark Report 2022 for data, insights and recommendations from an analysis of 2 million Sponsored Products campaigns.
The benchmark data is based on an internal Perpetua study of a sample representing over $3.2 billion in aggregated annual Amazon attributed ad revenue. The
This Amazon benchmarking analysis suggests that advertisers in the Electronics category who dedicate budget to Sponsored Brands find a favorable environment for
Customer Reviews and Product Ratings
About 95% of customers read reviews before making a purchase, according to Spiegel Research Center.
Upon visiting a product page, many customers will skip immediately to the first few reviews to determine whether they should read more.
For this reason, building positive reviews is a core component to retail readiness.
This may seem paradoxical.
Aft.
Enhanced Content
Another important benefit of enrolling in Brand Registry is the ability to create enhanced content.
The A+ Content feature enables brand owners to further modify the product descriptions of branded ASINs.
Using this tool, you can describe your product features with a unique brand story, enhanced images, and text placements.
Adding A+ Content to you.
Great Product Detail Pages Are 50% of Retail Readiness
The Amazon Services Quick Start Style Guidebegins with the following statement: “The way you present your products influences a customer’s decision to buy your product on Amazon.” This is 100% true and a fundamental tenet of retail readiness.
Customers cannot physically inspect products on Amazon the way they can in brick-and-mortar retail stores. .
Inventory
Inventory management is the final component of retail readiness.
If you can’t fulfill orders, meet customer expectations, and adhere to Amazon shipping standards, you will face challenges—possibly even account suspension.
Brands should pay close attention to what products they anticipate selling the most, including organically driven sales and thos.
Key Product Features
The second most important area in your product listing is the bulleted list of key features.
This is your opportunity to showcase the unique benefits of your product.
Most categories allow five bullet points.
The best way to create compelling product features is to highlight the most attractive features and benefits of your product with clear, hone.
Product Images
Many sellers underestimate the importance of including optimized images for each product.
The adage that an image is worth a thousand words is especially true on Amazon.
Since customers can’t touch, hold, or physically inspect your product, including compelling product images will help give customers a better sense of what they will receive in retu.
Product Titles
The product title is the first thing customers see when they visit your product page.
Therefore, your titles need to provide the right information.
Since Amazon uses the words in product titles to display your products in search results, it’s important to include your primary keyword at the beginning.
It’s also advantageous to include relevant keyw.
The Buy Box
It’s no secret that most purchases on Amazon take place via the Buy Box, the area to the right of a product listing that includes the orange “Add to Cart” and “Buy Now” buttons.
Sellers of the same product compete over who will “win” the Buy Box, which Amazon determines based on several factors including price, customer shopping experience, order d.
Relational database service
Amazon Aurora is a relational database service developed and offered by Amazon Web Services beginning in October 2014.
Aurora is available as part of the Amazon Relational Database Service (RDS).
Relational database service
Amazon Aurora is a relational database service developed and offered by Amazon Web Services beginning in October 2014.
Aurora is available as part of the Amazon Relational Database Service (RDS).
