Amazon DSP comes up often in conversations about scaling advertising. It is also one of the most misunderstood tools on the platform. Some brands dismiss it as too expensive. Others treat it as a natural next step after Sponsored Products without understanding what they are getting into. This post covers what DSP is, how it…
On May 13, 2026, Amazon retired the standalone Rufus chatbot and folded its technology into a new assistant called Alexa for Shopping. If you spent the last year optimizing for Rufus, your work was not wasted. The conversational engine that powered Rufus survives – Amazon combined Rufus’s product knowledge with Alexa+’s personalization and rebuilt it…
Shoppers on Amazon cannot touch, try, or test a product. What they are actually doing is assessing risk. A listing that feels trustworthy lowers that perceived risk enough to tip the decision toward purchase. A listing that raises doubt, even a small subconscious doubt, sends the shopper back to the search results. Knowing what creates…
Amazon sellers rarely lose money in one obvious place. The more common pattern is several smaller problems running at the same time: a fee that crept up, ad spend optimized for the wrong metric, a slow SKU tying up capacity, high returns on a variation nobody checked, a listing converting at half the rate it…
Selling oversized products on Amazon is not automatically a bad decision. But the margin math is different and the operational stakes are higher. FBA fees, storage capacity, inbound placement costs, and packaging compliance all tie back to product dimensions. Brands that don’t model these costs at the SKU level often find out too late that…
Amazon’s AI shopping assistant, Rufus, already influences 38% of Amazon shopping sessions. By Q4 2025, it had over 300 million users and drove nearly $12 billion in incremental sales. Shoppers who use it are 60% more likely to buy. Rufus does not rank products the way search does. It picks 3 to 5 products and…
Amazon SEO and Google SEO are not the same discipline. They share some vocabulary, but they solve different problems for different platforms with different goals. Amazon is a marketplace built to help shoppers find and buy products. Google is a general search engine built to satisfy a much wider range of queries. If you are…
Most brands pick a fulfillment model and apply it across the board. That is usually the wrong approach. FBA makes sense for some products and destroys margin on others. FBM gives you control where you need it but costs you Prime visibility where that matters. The right answer depends on the product, not the brand….
Most Amazon brands measure success the same way regardless of where they are in the business. Revenue growth, TACoS, review count. The problem is those metrics mean different things depending on the stage. A launch-stage brand needs proof that demand exists. A mature brand needs proof that the business is efficient and defensible. Using the…
Amazon gives brand operators access to more data than most teams know what to do with. Business Reports, Brand Analytics, Search Query Performance, Market Basket Analysis, Customer Loyalty Analytics. This blog breaks down four decision areas where Amazon data has the most direct impact on your business. Discoverability, conversion, customer behavior, and ad spend. Start…