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🛠️ Recommended for you

Seller Snap is an AI algorithmic Amazon repricer capable of detecting the behavior of your competitors and making tailored price adjustments to outsmart your competition.

🛑 Attention Amazon Sellers

Amazon is no longer penalizing some top sellers for aggressively raising prices amid the U.S.-China tariff war, Jason Del Rey reports for Fortune Magazine. According to three major U.S. sellers, they were able to increase prices by as much as 25% without losing the Buy Box.

Just last week, price hikes like these—even smaller ones—would have triggered the dreaded “Price higher than typical” error and led to losing the Buy Box due to Amazon’s price-matching system. Now, however, Amazon appears to be easing up, likely in response to tariff pressures.

But will this more relaxed stance last? We’ll find out soon enough. In the short term, yes—you still need a repricer. Conveniently, we just recommended the best one: Seller Snap.

📰 What you need to know

👉 This is gonna be sick for DTCs: OpenAI to Integrate Shopify with ChatGPT for shopping. This means ChatGPT users will be able to purchase products on Shopify stores from the chat itself, turning ChatGPT into a full-funnel shopping tool. This move closely follows Microsoft launching Copilot Merchant Program last week to integrate retailers into AI shopping.

👉 Alessio Bruni, Co-Founder at Heroes is opening on LinkedIn about tariffs: container’s cost up 159.9% and a freight forwarder ready to under declare the value of the goods by a 86%

👉 LVMH CFO said Amazon’s presence is hitting Sephora’s momentum online because of its “aggressive” pricing strategy. What can I say? Welcome to every brand’s Amazon fueled daily nightmare.

👉 Amazon wants desperately to be like TikTok, so it’s launching a Live Shopping Widget for Brand Stores combining advertising + live selling.

👉 Faced with tariff spending fears, brands look to Amazon’s search ads and DSP

👉 Helium 10 just launched the new Influencer Finder tool (just for US) so you can easy find Amazon influencers + their social channels on Facebook, Instagram, Youtube and TikTok channels and cross this data with product metrics. They also have a new brand promo: 35% for 12 months. Grab it here. And, yes I recorded a demo:

👉 If half of the AI agents work like this one, we will be printing money

👉 Jungle Scout just got rebranded and renamed it’s main product to Jungle Scout Catalyst. The refresh introduces distinct identities for its other core offerings: Cobalt (classic) for enterprise insights, Cloud for flexible data access and Consult for custom analytics.

💡 Pro Tip: deep long-tail keyword research is a must

“Deep long‑tail keyword research just became your competitive edge”. Andrew Bell wrote this amazing piece of content on “How Semantic Similarity and Behavioral Data Fuel Amazon Search”.

Amazon faces the same challenge as all growing search engines: new search queries + products it doesn’t yet know how to respond to.

Back in 2017, Google mentioned that around 15% of the daily searches were completely new. That’s why they launched RankBrain (first major machine learning algorithm) which (still) uses AI and machine learning to understand users and how they interact with search results, especially for previously unseen queries.

Amazon has been dealing with a similar issue for some time now and especially since the rise of trends like fast fashion and platforms like TikTok. We are witnessing the launch of new mass-consumption products almost on a daily basis. Amazon’s problem? new queries where product-based results don’t match the user’s intent, and new ways people search—like long-tail voice queries, image searches, or problem-based searches where the user is looking for a solution rather than a specific product.

Here’s how Andrew graphically represents the problem and the new solution that Amazon is creating:

The only way to deliver truly relevant search results is to understand the context and use historical data: search history, user behavior (refining searches, click-through rates, add-to-carts, conversion rates, bounce rates…), and the behavior and performance of similar products. This is similar to how the cold-start or “honeymoon period” works.

Amazon has been working on the cold-start process since (almost) the year 2020 where they A/B tested 140MM queries. The result? “treatment with priors improves new products impressions and increased customers engagement pointing to their relevance and quality”.

Andrew explains this whole thing much better than me in this visual breakdown.

⚒️ Software & Services

As we do every week, here are 2 recommendations for Amazon Sellers and Vendors.

With tariffs hitting hard, retail and online arbitrage are back! Here are 2 great apps

• Sellerassistant.app: spot thousands of high-margin and best-selling products. Ideal for online arbitrage and wholesalers.

• SellerAMP: 3 apps in 1 for Retail Arbitrage, Online Arbitrage and Wholesaling