On Meta’s Q3 earnings call, CEO Mark Zuckerberg shared the first hard numbers on Meta Muse shopping. Shopping is the AI agent’s most common use case, with more than 25% of users asking Muse to find better deals and make purchases — an early signal that agentic commerce is turning into real transactions.
Muse adoption so far
- More than 10 million downloads since launching in the U.S. and Canada last month, with Muse at No. 1 in the App Store almost every day.
- About 25% daily usage: a quarter of people who set up Muse use it on any given day.
- Retention is the open question: third-party app data shows usage dips significantly two weeks after download. Other AI chatbots show similar curves, but Meta is pinning much of its AI monetization on this app.
Shopping: $200+ average purchase
Zuckerberg said the average purchase through Muse is more than $200. Plaid told Meta it had never seen activity like this on its connector for any other service, and in the first week Meta had to work with Stripe to raise credit limits because volumes beat expectations. Taking a share of transactions facilitated in the app is a likely path for Meta to earn a return on its AI investment.
The obstacle: privacy
Meta is building a “Muse Confidential VM” to address privacy concerns. The same week, a New Mexico judge ordered Meta to pay $25 billion over privacy breaches, and a security group reportedly obtained large amounts of Muse query data through simple techniques. Shoppers will need trust before handing an agent their payment details.
What’s next: the Muse network and glasses
Zuckerberg described a Muse network where your Muse works with friends’ and family members’ Muses, and where buying something means talking to a business’s agent rather than navigating its website. Muse comes to Meta glasses in November.
Takeaways for brands and retailers
- Make product data agent-readable. Agents compare and recommend based on structured, accurate pricing, inventory, options and reviews. See agentic commerce readiness: 4 things online stores must fix.
- Expect sharper price comparison. If deal-finding is a top use, differentiate on what agents can verify beyond price — shipping, warranties, bundles.
- Watch the business-agent layer. If shoppers start talking to brand agents, those agents become a new storefront. For what Muse can do for businesses today, see Meta Muse AI for small businesses.
In the same earnings report, Meta said average ad prices rose 14% — which helps explain why commerce revenue from Muse matters so much to its strategy.