For digital experience teams · Oct 2026

Agentic commerce

Your newest shopper isn’t human. Can your analytics tell?

Meta Muse launched September 8 and is already buying on retail and travel sites. To a funnel report, an AI agent’s checkout looks exactly like a person’s. Fullstory can separate them today and show you what each one is worth.

BUY

Human: curves, hovers, hesitates

Agent: straight lines, exact clicks

Sept 8

Meta Muse launches, with Shopify Agentic Storefronts the same day

2.5M+

Muse downloads in its first two weeks; #1 on the App Store

Walmart · Best Buy · Sephora · Wayfair

among the retailers Muse can already shop

Why a second look

Your current analytics platform may be capable, and it has likely added AI features this year too. But the ground moved this fall. If your site sells anything, these are the four places a second look at Fullstory pays for itself.

Agentic commerce

See Muse and other AI agents as their own audience

Fullstory’s MetaMuse segment and dashboard template flag agent sessions from behavior and technical fingerprints: no pointer curve, cloud Linux desktops, Chrome 153+, Cloudflare and Fastly origins. Then it shows orders, revenue, AOV, entry pages, errors and friction for that segment alone.

It catches the hand-off. When a shopper takes over from the agent to finish checkout, highlight, copy and paste signals show up. You see pure human, pure agent, and everything in between.

Fullcapture

Sampling makes real problems look like noise

Every session, every click, every error, with no tagging plan. Agent traffic is new and spiky, which is exactly what a sample misses.

695 → ~8,000 users a day. A consumer subscription brand saw the same error page jump 11x the week it switched to full capture. The bug didn’t get worse. They stopped sampling.

Friction in dollars

Insights sized in revenue, backed by replays

Every finding pairs affected users with an observed conversion or retention lift, a dollar figure, and the sessions that prove it.

~$15.3M in annual revenue at risk found in 30 days at a subscription brand. $180M checkout opportunity tied to one iOS crash spike at a global retailer.

Open AI stack

Behavioral data your own AI tools can use

StoryAI agents investigate drops and spiking errors around the clock. The Fullstory MCP puts session data inside Claude and Cursor, next to GitHub and Snowflake, so engineers go from friction to root cause to fix in one prompt.

15+ critical bugs surfaced in initial MCP sweeps at a delivery marketplace, including a checkout blocker fixed in 45 minutes.

Teams that switch to Fullstory typically get

More data

Every session captured automatically, with no hand-tagging and no sampling.

More actionable insights

Findings sized in dollars and routed to the teams and AI tools that fix them.

A better TCO

One platform for product, engineering, marketing and support teams.

Heatmaps, journeys, funnels and mobile app analytics are all included, so you don’t give anything up.

Before you renew

Five questions to ask before your next analytics renewal

  1. 01Which sessions on our site last month were AI agents like Meta Muse, and how much revenue did they drive?
  2. 02Can we tell when a person took over from an agent mid-checkout, and where agents get stuck?
  3. 03Are we capturing every session without tagging anything by hand, or a sample? What would the sample have hidden?
  4. 04Can our engineers query behavioral data from Claude or Cursor through MCP alongside our code and warehouse?
  5. 05Can our support agents and AI chatbot see what the customer actually did before they reply?

Switching is handled for you

A dedicated migration team moves you to Fullstory. Or start by running both side by side for 30 days: you get an AI-agent traffic readout and a Value Insights report sized in dollars.

Talk to your Fullstory team