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- Amazon Drops Spring Bombshell – Big Spring Sale 2026 Dates Quietly Revealed Early
Amazon Drops Spring Bombshell – Big Spring Sale 2026 Dates Quietly Revealed Early

Welcome to our weekly newsletter, Hunter's Insights!
In this special edition, we bring you essential Amazon updates and industry insights to keep you ahead in the fast-paced world of e-commerce:
💬 Amazon Adds Competitor-Based Feedback to A+ Content Quality Analysis
📅 Amazon Reveals Big Spring Sale 2026 Dates Early
❗ Amazon Mandates Prepaid Return Labels for All US Seller-Fulfilled Orders
🚫 Amazon Ads MCP Server: The Hype Arrived Late
🔎 Amazon Ads Introduces “Quickly Browse” for Faster PPC Management
🤖 Amazon Introduces AI-Generated “About the Brand” Section on PDPs
🆕 Amazon’s “Buy from Brand’s Website” Feature Is Live

💬 Amazon Adds Competitor-Based Feedback to A+ Content Quality Analysis
Amazon has introduced a new feature in A+ Content Quality Analysis that evaluates your Enhanced Brand Content (EBC) against competitors in your category, offering specific guidance for improvement.
This update provides:
Competitor Benchmarking: Compare your A+ Content with top sellers.
Actionable Feedback: Identifies missing elements like feature callouts and lifestyle images.
Category-Specific Standards: Offers recommendations based on shopper expectations.
Accessible via Seller Central, this change turns A+ Content into a competitively scored performance tool. Brands that quickly utilize this insight can gain a significant advantage, aligning their content with Amazon's evolving standards to enhance conversion rates ahead of competitors.

📅 Amazon Reveals Big Spring Sale 2026 Dates Early
Amazon has revealed the dates for its Big Spring Sale 2026, scheduled for March 25–31, 2026, within the Deals creation workflow. Sellers can access the event in the Advertising Deals section, but it's not yet visible on the Price Discounts setup page.
Key takeaways for sellers:
Start inventory planning to meet projected demand.
Prepare deal strategies early to secure advantageous placements and pricing.
Adjust operational timelines to align logistics and promotions.
Gain a competitive edge by acting before the market reacts.
Amazon rarely reveals event timing this far in advance. For sellers who closely monitor backend tools, this early indication offers valuable planning time ahead of the March 2026 promotional cycle.

❗ Amazon Mandates Prepaid Return Labels for All US Seller-Fulfilled Orders
Amazon will require all U.S. sellers to use the Amazon Prepaid Return Label (APRL) program for customer returns on seller-fulfilled orders starting February 8, 2026. This change aims to create a consistent return process, expedite refunds, and decrease customer service interactions.
What’s changing:
Mandatory prepaid labels: All eligible seller-fulfilled returns must use APRL through Buy Shipping Services
Faster refunds: Refund cycle reduced from 14 days to 7 days
No return messaging required: Buyer-seller communication during returns is eliminated
High-value exemption removed: Item value no longer determines eligibility
Certain items, like handmade goods and oversized products, are non-returnable. Sellers can challenge refunds via the SAFE-T program. This update standardizes return handling for seller-fulfilled orders. Sellers should review return policies and risk management before February 2026.

🚫 Amazon Ads MCP Server: The Hype Arrived Late
Many media outlets recently reported on Amazon’s Ads MCP Server open beta, but it isn’t new, and access is already closed. The feature has been live for a while, and new sign-ups are no longer available.
Key updates:
The beta is closed: MCP Server is no longer accepting new participants.
AI-to-API access: Model Context Protocol enables tools like Claude to connect with external services, including the Amazon Ads API.
Conversational campaign access: MCP allows AI to access performance data and manage campaigns without using Amazon's UI.
Amazon Ads is transitioning to AI-native workflows, focusing on data access and execution through conversation instead of dashboards. Early experimentation will be important as these tools become more widely available.

🔎 Amazon Ads Introduces “Quickly Browse” for Faster PPC Management
Amazon has introduced a new feature in the Ads Console called “Quickly Browse.” This update enhances navigation in the advertising ecosystem by acting as a unified panel for accessing campaigns, reporting, brand tools, and measurement features.
Key updates:
Unified navigation: Access all necessary tools from one panel.
Faster workflow: Reduces time spent switching between dashboards.
Better tool visibility: Connects PPC performance with brand assets more easily.
Built for scale: Ideal for PPC managers and agencies managing multiple accounts.
While it doesn't affect campaign performance, Quickly Browse improves management efficiency, signaling a move toward smoother workflows in Amazon Ads. For those advertising at scale, this offers a valuable productivity boost.

🤖 Amazon Introduces AI-Generated “About the Brand” Section on PDPs
Amazon has introduced a new “About the brand” section on product detail pages, displayed below bullets and reviews. This AI-generated summary provides a brief overview of a brand based on Amazon’s internal data, rather than content from the brand itself.
Key features include:
AI-generated summary: A brief “brand story” created automatically.
Performance signals: Metrics like recent order volume and customer ratings are displayed.
Prominent placement: Appears before A+ Content, shaping perceptions early.
Data-driven narrative: Reflects reviews, catalog quality, and listing consistency.
This shift shows Amazon's move toward defining brand identity through performance data, which may enhance credibility for brands with strong metrics but could misrepresent those with weak signals. Brand perception on Amazon is evolving to focus more on data than messaging.

🆕 Amazon’s “Buy from Brand’s Website” Feature Is Live
Amazon has started its “Buy from brand’s website” feature, allowing shoppers to purchase products not sold on Amazon directly through a brand’s site while staying within the Amazon experience. Using AI, Amazon facilitates checkout, estimates totals, and completes purchases externally.
Key points include:
Off-Amazon checkout: Amazon handles purchases on brands' websites when items aren't available on its platform.
Estimated pricing buffers: Ambiguities in shipping may lead Amazon to add a cost buffer.
Packaging ambiguity risk: Inconsistent presentations can distort perceived pricing.
Conversion sensitivity: Confusing pricing or unclear details can quickly erode trust.
This shift in responsibility means brands must clearly communicate pack sizes, shipping costs, and product details on their websites. If not, they risk confusion, inflated totals, and abandoned carts. As Amazon expands its AI-assisted checkout, clarity and consistency across channels will be crucial for conversion success.

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