Amazon’s Strategic Push into the DSP Ad Tech Market
- Amazon is actively encouraging advertisers to fully utilize its demand-side platform (DSP) not only for its media but also for buying ads across other publishers. The company is emphasizing this capability, especially in discussions about Prime Video advertising. Amazon aims to strengthen its position in the programmatic advertising sector by forming partnerships with ad tech vendors to facilitate easier ad purchases beyond its ecosystem, particularly for in-app and CTV ads. These efforts involve enhancing integrations with supply-side platforms (SSPs) to improve inventory signal capture and offer more buying options, signaling Amazon’s investment in becoming a significant force in the DSP market. This move underscores Amazon’s bid to access premium non-banner ad inventory and potentially shift marketers’ limited perception of Amazon’s DSP, which has traditionally been seen primarily as a tool for buying Amazon ads.
Amazon Implements Low-Inventory-Level Fee to Optimize Fulfillment
- Starting April 1, 2024, Amazon will introduce a low-inventory-level fee for standard-size products with inventory levels significantly below customer demand for more than 28 days. This measure aims to improve product distribution across Amazon’s network by encouraging sellers to maintain adequate inventory levels, thereby enhancing delivery speed and reducing shipping costs. The fee is determined by comparing a product’s inventory to its historical demand over the last 30 and 90 days. Fees vary based on the product’s size tier, shipping weight, and historical days of supply, with three fee tiers for products below 28 days of supply. This fee is added to the FBA fulfillment fee for all shipped units of eligible products. Exceptions include new sellers and products, as well as auto-replenished items by Amazon Warehousing and Distribution. Sellers can view their historical days of supply metric in the FBA Inventory section and must manage inventory effectively to avoid or minimize this fee.
Removing Unfair Product Review s on Amazon
- Using ChatGPT to analyze product reviews for violations and identifying cases for submission can streamline the process of maintaining the integrity of your product listings on platforms like Amazon, Walmart, and Target. Here’s asummary of the approach to leveraging ChatGPT for this purpose:
- Data Collection: Export or compile your product reviews into a readable format such as CSV, JSON, or direct text inputs. Ensure to include review content, dates, usernames (if available), and any other relevant metadata.
- Review Analysis:
- Identify Violations: Input the review text into ChatGPT, asking it to identify any content that violates the specific platform’s review policies. This includes, but is not limited to, inappropriate language, irrelevant content, promotional material, or any form of review manipulation.
- Highlight Key Points: For efficiency, you can also instruct ChatGPT to highlight key phrases or sentences that are indicative of policy violations, providing a clear basis for each case.
- Case Creation:
- Compile Evidence: Based on the analysis, compile the evidence of violations into a structured format. This should include the review text, the specific policy it violates, and any other pertinent details.
- Draft Submission Text: Use ChatGPT to help draft concise, clear submission texts for each case. Ensure that each submission is tailored to the platform’s requirements for reporting violations.
- Submission Process:
- Follow each platform’s specific process for submitting cases of review violations. This may involve using a dedicated portal, email, or a form within the platform’s seller tools.
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