FBA Inventory Dates for Holiday Deal Events
- To maximize your holiday sales, plan ahead to make sure that your FBA inventory arrives at fulfillment centers on time for Q4 deal events. To stay in stock during holiday deal events, we recommend that your FBA inventory arrives at US fulfillment centers by the following dates:
- Prime Fall Deal Event: September 12
- Black Friday and Cyber Monday: October 26
- It may take longer to ship inventory to fulfillment centers during the busy holiday season. Check your recommended replenishment quantity and plan shipments now to have your most popular products in stock.
2023 Holiday Peak Fulfillment Fee for Fulfillment by Amazon
- Amazon will implement the annual Holiday Peak Fulfillment Fee for Fulfillment by Amazon (FBA) from October 15, 2023, to January 14, 2024. This fee covers increased operating costs during the busy holiday season. The rates remain unchanged from 2022 for US and Canada FBA. Despite the fee, Amazon’s fulfillment fees are still 30% cheaper than standard shipping methods of other logistics providers. The fee applies to various FBA services except for US FBA items priced under $10. Detailed fee rates are available on Amazon’s help pages and below.
- US Fulfillment by Amazon Fee Rates
- CA Fulfillment by Amazon Fee Rates
- Remote Fulfillment with FBA Fee Rates
- Multi-Channel Fulfillment Rates – US, Canada
Web-scale Semantic Product Search with Large Language Models
- The paper discusses the challenges in using dense embedding-based semantic matching for eCommerce product search, especially the limitations in integrating BERT-like language models due to real-time search requirements. The authors propose a four-stage training approach to leverage large BERT models for product search while maintaining low inference latency. They introduce a new query-product interaction pre-finetuning task to improve training stability and generalization. Offline experiments demonstrate that their approach improves search relevance by up to 23% compared to baseline models. Online A/B tests show enhanced performance in retrieving both exact and substitute products. This strategy is valuable for improving product matching using large language models while retaining low latency.
- BERT, which stands for “Bidirectional Encoder Representations from Transformers,” is a state-of-the-art pre-trained language model developed by Google. It is designed to understand and generate human-like text by learning contextual relationships between words in a sentence. BERT is built on the Transformer architecture, which is a type of neural network that excels in capturing long-range dependencies in sequences of data.
- The research paper is proposing a four-stage training approach for enhancing product search relevance in eCommerce, particularly on platforms like Amazon. The approach involves using BERT-like language model encoders to improve search result quality while maintaining low inference latency. This has a significant impact on Amazon’s search function, potentially leading to more accurate and context-aware search results for users. For sellers, it means their products could be better matched with relevant queries, increasing visibility and potentially boosting sales.
Stop Bidding High to Reach Top of Search Placement on Amazon
- This article delves into the misconceptions and optimal strategies regarding top-of-search placements in Amazon advertising. The misconception that higher bids guarantee top placement is debunked, highlighting the complexity of the relationship between bid adjustments and placement. The concept of placement bid modifiers is explained, allowing marketers to fine-tune bids based on where their ads appear in Amazon’s search results. The three main placement types—Top of Search, Rest of Search, and Product Pages—are outlined, with emphasis on the superior performance metrics of top placement due to factors like keyword bid adjustments and CPC gaps. The article advises caution before increasing top placement modifiers, as best-performing keywords might already be there and bid adjustments can impact other placements. Conversion rates in different placements also play a role, making it important not to solely rely on high bids for success. The drawbacks of a single exact match keyword campaign are discussed, highlighting budget constraints and management complexity. Ultimately, the article emphasizes the importance of efficient bid adjustments based on overall performance for optimal campaign results.
- Key takeaways:
- Misconception about Top Placement: Top placement’s superior performance is due to factors beyond bid modifiers, like keyword bid adjustments and CPC gaps.
- Considerations Before Increasing Top Placement:
- Saturated Top Keywords: Best-performing keywords might already be in top placement, so increasing modifiers won’t necessarily improve results.
- Impact on Other Keywords: Raising top placement modifier affects other placements and might lower performance for some keywords.
- Conversion Rates in Different Placements: Keywords perform differently in various placements; high bid doesn’t guarantee success.
- Single Exact Match Keyword Campaign Drawbacks:
- Budget Constraints: Limited budget affects campaign control and long-tail keywords.
- Management Complexity: Managing numerous campaigns with single keywords becomes challenging.
- Efficient Bid Adjustments: Instead of endlessly adjusting placement modifiers, focus on overall performance-based bid adjustments for a cleaner campaign structure.
The Best Ways to Leverage Brand Tailored Promotions
- The article highlights how these promotions can lead to incremental sales by effectively targeting shoppers who are close to making a purchase. The tool’s capabilities are explored, including retargeting cart abandoners, cross-selling to high-spend customers, engaging recent or repeat customers, and testing pricing strategies with potential new customers. However, the article notes important considerations, such as the interaction with existing coupons, brand-level application (with ASIN-level capabilities coming soon), and the challenge of customers discovering these tailored promotions organically. Brand Tailored Promotions could increase Brand Follower counts and drive more attention to Amazon’s Brand Stores.
- Key Tactics & Thoughts:
- Testing Pricing Strategies: Use the “Potential New Customers” audience to understand how your pricing impacts demand. Target customers who have shown interest in your products but haven’t bought from your brand in a year. Adjust prices based on the results of these promotions.
- Interactions with Existing Coupons: Be cautious when running Brand Tailored Promotions alongside existing coupons or deals. Consider how discounts might combine and impact your profit margins.
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