The unseen context defining peak behaviors.

Introduction

Peak periods used to mean guaranteed traffic and customer engagement, be that capitalizing on a holiday sale, booking for the holiday travel rush, scoring the new phone or even taking advantage of open enrollment.

In 2026, that's no longer true. Consumers are tuning out peaks that feel optional, and holding firm on the ones that meet a need. As they lean on AI to decide where to shop, book or sign up, or defer to agents to do the job, we see peak consumer behavior diversify.

That means brands can't measure peak success by a few metrics. Today's brands need the right experience context to get the full picture, built on the data that often goes unseen.

Section 1

Is peak fatigue setting in?

Peak isn't one moment anymore. It's Prime Day, early October sales, Cyber 5, holiday travel, a new phone launch and even open enrollment, all competing for the same attention and the same budget.

Platform data shows the same split.

• In early October, travel sessions were up 4% YoY, but conversion rates were down 20% YoY.
• In telecommunications, conversions during iPhone launch week rose just 11% week over week in 2026, compared with 87% across 2025 launch weeks.
• Holiday sales are the exception with retail sessions up 26% YoY for September/October, with conversion rates up an average of 22% YoY.

Even with retail traffic and conversions up, shoppers are still feeling fatigue: 45% plan to spend less time browsing during peak, and retail shoppers spent 18% less engaged time per session in September.

This pattern is seen across industries with consumers making fewer visits before they buy:

• 33% now buy holiday gifts in a single visit, up from 27% in 2025.
• 40% book flights, hotels or event tickets in a single visit, up from 33% in 2025.
• 42% of consumers even purchase luxury items within a single visit, up from 35% in 2025.

What does it all mean?

• A sale for the sake of a sale no longer creates urgency. AI makes it easier than ever to monitor pricing, so if a deal isn't good, or isn't necessary, consumers will pass.
• The best way to capitalize on peak moments is to understand your customer audiences and test how they want to engage.

Section 2

Who are brands really serving at peak?

The other layer to this is the introduction of agent traffic versus human traffic. They may arrive through the same pages, but they don't behave like it.

Before we get into it, let’s lay out a few definitions to keep us on the same page. In this section:

• AI-referred: a person is directed to a brand site by clicking on a link from an AI tool.
• AI-assisted/mixed traffic: a person uses an AI agent to browse parts of a website for them and then takes over interacting on the site themselves, likely to add payment or account information.
• Agent: AI browsing on its own across a brand site on behalf of a customer ask.

Agents browse less, and abandon more.

Agents also move through sites differently. Retail agents, for example, spend 75% less engaged time per session than traditional traffic, a shift from roughly two minutes of engaged time to 30 seconds.

And platform data shows agents frequently get stuck and abandon.

• Retail agents abandon 48 carts for every completed purchase, compared with about 3 for all retail traffic. That’s about 15 times as many abandoned carts per purchase.
• At the same time, forbidden (403) errors, which are often a sign of bot blocking, are up 2.7x in retail.
• Travel agents abandon 26 carts for every one completed purchase, compared with less than 1 to 1 for traditional traffic.

And if an agent can't complete a purchase on a brand's site, just 45% of consumers would finish it themselves on the same site.

Growing use of AI agent assistance is good news for agent adoption too.

Following the introduction of personal assistants, like Meta's Muse, we are seeing accelerated agent use, with agent sessions growing 2.5x in travel and retail month-over-month, doubling in financial services and jumping 5x higher in telecommunications in September.

What does it all mean?

• An agent that's blocked or fails on your site is often a sale handed to a competitor, and where they get stuck might not be as obvious.
• Brands today now need to serve both human and agent traffic. Agent visibility is the first step to supporting both.

Section 3

What happens when peak experiences break, and why is it harder to see?

With now two audiences to serve during peak periods, the biggest challenge for digital brands is identifying unseen issues that block both users.

Nearly every consumer runs into friction during a major sale.

• 92% note they've hit at least one issue on a peak sale day.
• 62% have lost at least one purchase to it, whether they gave up, bought from a competitor or asked AI.

But, platform data shows that obvious errors don't equal frustration. During retail's highest-traffic weeks of the past year, server errors held steady, but frustration rates rose 25% and abandonment climbed to nearly 10%.

When a peak experience breaks, AI is there to make sure customers don't stick around:

• 1 in 3 took their business elsewhere after a sale-day issue, buying from a competitor or asking AI to find the item.
• 56% of consumers who make purchases with AI have had an AI recommendation lead them to buy from a brand they hadn't planned to. That's 71% of Gen Z.

What does it all mean?

• Not every peak issue is an obvious error. Promo codes, pick-up counters and support calls take context from across the customer journey to identify and act on the right things.
• AI raises the stakes. Friction at the counter or on screen now sends shoppers to the same place: an AI tool ready to recommend a competitor.

Section 4

What does this mean for the holidays?

Despite peak fatigue, economic woes are driving more interest for Cyber 5, as consumers look for ways to afford their essential purchases. With 74% of consumers focused on Cyber 5 to combat economic challenges for the holidays.

Younger shoppers will be the ones to watch this holiday season:

• 83% of Gen Z and 78% of Millennials are already using AI to shop. More peak discovery will happen before a shopper ever reaches a brand site.
• 65% of Gen Z already do at least some of their sale-day shopping through an AI browser or shopping agent.

What does it all mean?

• Cyber 5 attention, early-season momentum and AI traffic are all pointing up.
• Shoppers will spend less time deciding, so clear offers and fast, reliable experiences matter more than more offers.

The bottom line.

So, what should digital teams take into this year's peak periods?

1. Peak looks different in every industry. Know which peaks your customers actually care about, and plan for weeks, not a weekend.
2. AI is picking brands before shoppers arrive. The experience has to hold up when they do, because a shopper sent by AI won't wait around.
3. Agents are a second set of visitors. Know when they arrive, what they do and where they fail, before a blocked agent becomes a lost sale.
4. The costliest friction often goes unseen. A few minutes of slowness, one failed promo code or a broken tool at the counter sends shoppers to a competitor, an AI tool or your support queue.

Peak success today requires every signal, human or agent, on screen or in person, to understand the complete customer journey.