The Maze: Rufus is not an AI shopping fairy. It is closer to an intent meter. Sensor Tower tracked 60,000 dedicated US Amazon shoppers and found that shoppers who interacted with Rufus were 2.74x more likely to buy than shoppers with zero Rufus interactions. The bigger lesson is sharper: assistants do not always create demand. They often reveal when demand is ready to convert.
The strongest signal is depth. Conversion moved from 21% for no Rufus to 35% for 1-3 asks, 47% for 4-10 asks, and 58% for 11+ asks. That ladder looks less like random feature usage and more like shoppers using the assistant to compare, confirm, and finish.
The seasonal pattern matters. During BFCM 2025, Rufus sessions rose about 90% versus about 8% for non-Rufus sessions from October 1. After the holiday peak, weekly sessions fell roughly 25%, but conversion rose from about 26% to about 35% as shoppers came back with more specific needs.
The caveat is the point. During Amazon's March 25-31 Big Spring Sale, Rufus sessions fell 17% versus a February baseline while non-Rufus sessions rose 32%. Deal browsing is not the same as decision support, even when Amazon says Rufus can help shoppers find deals and track prices.
Why it matters: Sellers should stop treating agentic commerce as a new ad slot with a lab coat. The real work is product evidence: attributes, fit, compatibility, comparison logic, review themes, warranty clarity, and use-case answers. Rufus rewards the SKU that is easiest to recommend when the shopper is already close to choosing.
🛒 Intent gets stronger with every ask
The cleanest number in the report is not the 2.74x headline. It is the staircase underneath it. No Rufus sessions converted at 21%. Sessions with 1-3 asks converted at 35%. Sessions with 4-10 asks converted at 47%. Sessions with 11+ asks converted at 58%.
That is the shape of a decision process.
People do not ask eleven shopping questions because they are killing time between meetings. They ask because the product decision is unresolved. Which air purifier fits a small apartment? Which model is quieter? Which replacement filter works? Which listing looks less suspicious? Rufus sits inside that uncertainty.
This is why the causal caveat matters. Sensor Tower's evidence does not prove that Rufus created the purchase. High-intent shoppers may be more likely to open Rufus. But that does not make the finding weaker for sellers. It makes it more useful.
If a shopper opens the assistant near the moment of choice, then the assistant becomes a decision checkpoint. Weak product pages used to lose shoppers slowly. In this world, they may lose the recommendation instantly.
🎁 Holiday ambiguity made Rufus useful
The BFCM evidence explains when the assistant becomes valuable. Sensor Tower indexed shopping sessions to October 1, 2025. Around Black Friday, Rufus sessions rose about 90%. Non-Rufus sessions rose about 8%.
That gap is too large to treat as decoration.
Holiday shopping creates a specific kind of mess. Buyers are not just searching for a product. They are translating a person into a gift, a budget into a shortlist, and vague preferences into something deliverable by Friday. Classic search can return options. An assistant can narrow the room.
This does not mean Amazon's future is one giant chat box. It means the interface becomes more useful when the shopper has ambiguity to resolve. Gift shopping has lots of ambiguity. So do technical products, compatibility-driven categories, beauty routines, parenting purchases, appliances, and anything with too many near-identical SKUs.
For brands, this is the first commercial lesson. Rufus is not just a new place to stuff keywords. It is a place where product evidence gets interrogated.
📉 Better buyers replaced bigger traffic
The post-holiday period makes the story more interesting. Weekly sessions fell roughly 25% below the BFCM peak. Average weekly sessions were down 6% from Q4 to Q1. Yet conversion improved. Sensor Tower shows conversion moving from about 26% in October to about 35% through late Q1, with average conversion rising from 28.9% to 35.0%.
That is not an AI story first. It is a mission-quality story.
Holiday shoppers browse, compare, wishlist, and panic-buy. Q1 shoppers come back with a job. A replacement filter. A home item. A product they already meant to buy. Lower traffic can produce better conversion when the average session has a clearer reason to exist.
This is where Rufus fits the funnel. It is most valuable when the shopper has enough intent to ask a concrete question, but enough uncertainty to need help. That middle zone is enormous. It is also where bad product content becomes expensive.
The old Amazon game rewarded availability, price, reviews, and ad discipline. Those still matter. The new layer adds answerability. Can the product be explained, compared, trusted, and matched to a use case by an assistant?
🏷️ Sale browsing muted the assistant
The Big Spring Sale result is the report's best anti-hype moment. Amazon's US event ran March 25-31, 2026. During that week, Sensor Tower says Rufus sessions fell 17% versus a February baseline, while non-Rufus sessions rose 32%.
In plain English: the sale brought shoppers back, but many stopped asking.
That sounds counterintuitive until you separate two behaviors. A shopper looking for a deal is browsing shelves. A shopper asking Rufus is trying to resolve a decision. Those are different modes. Amazon can make Rufus useful for deals, price history, alerts, and automated buying. But the measured behavior still softened when the shopping mission changed.
This is good news for anyone allergic to AI fairy tales. The assistant is not magic. It is situational. It performs best when the shopper has a problem to solve, not when the shopper is wandering through discounted inventory with a loose wallet and no plan.
The seller implication is uncomfortable but practical. Promotions may create visits. They do not automatically create assistant-worthy questions. If the product needs explanation, the listing has to earn the assistant moment before the sale starts.
🧩 Seller pages become answer systems
This is the boring part that will make money. Agentic commerce may sound like science fiction, but the operating work is dull in the best way. Clean attributes. Strong product titles. Clear images. Fit and compatibility data. Useful reviews. Comparison tables. Warranty and returns clarity. Answers to the questions people ask right before they buy.
Rufus did not change how people shop. It exposed the moment when shopping becomes deciding.
