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Amazon Customers are Engaging with Alexa for Shopping More Than Ever

In Amazon’s recent Q2 2026 earnings call, CEO Andy Jassy mentioned that customer engagement with Alexa for Shopping has risen dramatically in the quarter. Not only are more people using it, but those who use it spend much more per order than those who don’t. This high usage shows the importance of ecommerce brands optimizing for AI.

Author: Kale Havervold

4 MIN READ
Amazon Customers are Engaging with Alexa for Shopping More Than Ever

Amazon CEO Andy Jassy recently shed some light on the stunning growth of Alexa for Shopping in Amazon’s recent Q2 2026 earnings call. Active users of the technology have grown dramatically, with interactions also rising year-over-year.

He also revealed that customers who use the technology spend much more per order than normal shoppers. All of this growth, and the higher spending of Alexa for Shopping users, highlights how important it is for ecommerce sellers to prioritize optimizing their Amazon listings for AI to capture some of this massive upside.

Amazon Customers are Flocking to Alexa for Shopping

In Amazon’s Q2 2026 earnings call, company CEO Andy Jassy covered many things about the company’s recent performance, milestones, and more. One of the most interesting tidbits he shared is just how much Amazon customers like Alexa for Shopping.

For those unfamiliar, this is Amazon’s personalized AI assistant, which helps shoppers research products, compare items, track price history, and get important questions answered. In the call, Jassy said that more than 350 million customers used it over the last year. 

He added that engagement of the technology sped up in a huge way in Q2, with active users nearly doubling in Q2 year-over-year, and interactions up more than five times compared to last year.

This growth makes sense, as the feature can help simplify a person’s shopping journey, give them personalized recommendations, and handle most of the research and comparisons for them. The growth also coincides with the major growth of agentic commerce in general. In fact, AI could be responsible for as much as 15% to 25% of total US ecommerce sales by 2030.

Also, if the huge growth of Alexa for Shopping hasn’t convinced you that many customers like and use agentic commerce, a recent report also found that over 75% of consumers are open to certain agentic features.

Alexa for Shopping Drives Higher Consumer Spending

It seems that using this technology not only helps customers speed up and simplify the shopping process, but also entices them to spend more. Jassy said that U.S. customers who use Alexa for Shopping spend 40% more per order than people who don’t use it.

There are several potential reasons for this. First, the convenience and simplicity with which this technology operates likely plays a role in driving people to buy. Instead of someone having to track down multiple items and spend a lot of time building a cart, Alexa can often handle it with almost no effort or work on the shoppers’ end.

Alexa for Shopping also has an auto-buy feature, which eliminates the checkout friction that may often stand in the way of people completing their orders. Also, because Alexa for Shopping offers personalized recommendations and often highlights the value that items provide, it may be able to sway or convince someone who’s on the fence about a purchase.

The technology also allows for broader discovery than manual searching, so the more categories and items being browsed at once, the higher the chance that something sticks out to a buyer. Things like tailored bundling may come into play and entice people to spend more than they were planning, as well.


Our Take

Capture Some of This Growth By Optimizing Your Amazon Listings for AI

With people spending more when they use Alexa for Shopping, ecommerce sellers on the platform should be doing everything they can to ensure their listings are appearing in Alexa for Shopping results.

One of the best ways is optimizing your listing for AI. Some ways to do this include completing fields in Seller Central, ensuring you have some detailed answers to common customer questions, and writing your listing content in a way that’s conversational.

You should also aim to explain what the item is, what it does, who it’s for, the benefits it provides, the outcomes it leads to, and the problems it solves. Make an effort to target specific use cases, too, as this can help the AI to match your product to customer questions or prompts that are more complicated, complex, or precise.

Author

Kale Havervold

E-commerce Insights Reporter

Kale Havervold is a writer with extensive experience writing on topics like ecommerce, business, technology, finance, and more.

His interest in ecommerce dates back several years, and he consistently stays up to date with industry news, trends, and insights. Combining this interest with his knowledge of the industry and in-depth research, he’s comfortable covering breaking news, creating guides, writing reviews, and everything in between.