Amazon is about to launch a new feature - Customer Journey Analytics, which aims to help sellers deeply analyze buyers' behavioral data at various stages of the shopping process . The buyer's journey on Amazon is a series of interactions and experiences that buyers have with products on the Amazon platform, including the entire process from seeing the product for the first time, becoming aware of the product, browsing and viewing the product, purchasing the product, and after-sales service.
Note: This process is not limited to completing the order itself, it also includes the buyer's overall perception, interactive experience and brand impression of your brand and similar competitors. Therefore, on Amazon, understanding the buyer's journey can help you gain a deep understanding of how buyers interact with your brand. At each different stage, customers will interact with the brand through multiple touchpoints, and each touchpoint is the key to establishing a connection between the brand and the customer. Amazon's new feature provides a centralized view of customer behavior indicators, including page views, add to cart, review engagement, search and browsing behavior, and purchase conversions. The following figure is an example of the data source shared by Amazon officially, and is not the data ultimately displayed to sellers. The specific data indicators are analyzed as follows: 1. Traffic source analysis : It can clearly show which channel within Amazon buyers use to discover products, such as entering specific keywords in the search bar, seeing products in recommended positions, or being attracted by advertisements. It mainly helps sellers to determine which traffic channel is more effective . 2. Search keyword insights : Sellers can understand the specific keywords used by buyers when searching for products and grasp the changing trends of popular search terms. Consider whether to reasonably integrate these keywords into product titles, descriptions, and background keyword settings to increase product exposure in search results. 3. Dwell time evaluation : The attractiveness of the page content can be judged by the length of time buyers stay on the product details page. If the dwell time is short, the seller needs to optimize the page content , such as replacing more attractive pictures, improving product descriptions, etc. 4. In-depth study of page scrolling : It can be used to know the extent to which buyers scroll down on the detail page, clarify the content areas that buyers focus on, and which parts are easily overlooked. It mainly helps to adjust the page layout and place key information and advantageous selling points in a position that is easy to be noticed . 5. Add-to-cart rate analysis : The add-to-cart rate reflects the attractiveness of the product to buyers. Calculate the ratio of the number of buyers who added the product to the shopping cart to the number of buyers who browsed the product details page. A high add-to-cart rate indicates that the product is attractive to buyers . If the add-to-cart rate is low, sellers can analyze the reasons and make improvements. 6. Conversion rate analysis : The conversion rate reflects the conversion effect from browsing to purchasing , that is, the ratio of the number of buyers who ultimately purchase the product to the number of buyers who browse the product details page. By analyzing the two indicators of add-to-cart rate and conversion rate, we can find out the factors that affect purchasing decisions . For example, if the add-to-cart rate is high but the conversion rate is low, it may be necessary to adjust the price, optimize the reviews, or improve the delivery policy . What is this data used for? Give a few examples. 1. Evaluate content attractiveness: Sellers can use this feature to know how many buyers discovered the product through specific keyword searches and how long they stayed on the product details page. 2. Optimize product pages : Sellers can adjust product images, titles, descriptions and other content based on data results to better match buyers' expectations and shopping habits. 3. Evaluate advertising effectiveness : By combining advertising data with customer journey analysis results, sellers can accurately evaluate the role of advertising in the buyer's shopping journey, determine whether advertising is accurate and effective, and then adjust advertising strategies to improve advertising return on investment and avoid wasting advertising budgets. Currently, this function is not fully open. You can log in to the Amazon seller backend and check whether there is an entry for the customer journey analysis tool in the data report or advertising analysis module. After entering, you can filter different products, time periods, market regions and other conditions according to your needs to obtain the corresponding buyer behavior data report. |
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