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How to Run a Black Friday Competitor Analysis in One Conversation

Black Friday competitor analysis

Competitor analysis for Black Friday, which starts in November, is already late. In September 2025, US searches for keywords tied to “black friday deals” totalled 720,480. In October: 2,131,230. That’s +196%, a full month before November’s 16,963,623, according to Similarweb search demand data. Adobe expects US online spending in October 2026 to reach $95.8 billion, up 8% year over year, according to its 2026 holiday forecast.

A competitor analysis for Black Friday is a structured review of how your competitors are positioned before the sale: which demand is rising, where their traffic comes from, which channels they are scaling, and whether they bid on your brand name. The problem isn’t missing data. The questions that matter are connected, and the tools you pull them from aren’t. What’s spiking decides which pages matter. Those pages decide which competitors you check. Separate exports can’t carry that logic from one answer to the next.

Black Friday 2026 lands on 27 November. This article covers why manual pulls break at peak speed, the five questions in order, and what the check can’t tell you.

Why do separate dashboard pulls break a Black Friday competitor analysis?

Separate pulls break at peak speed because each answer decides the next question. Demand shows what to check, content shows where to look, channels show who is scaling. Exports from different reports make you carry that logic by hand, and Black Friday leaves no time for it.

Follow the sequence. A demand spike tells you which pages to inspect. Those pages tell you whether AI chatbots or organic search send the traffic. The channel mix tells you which competitor to inspect for paid activity. Break the chain anywhere and you’re guessing the next question.

Separate dashboard pullsOne conversation
How questions connectJoined by hand between reportsEvery answer stays in context
What you finish withNumbers across several tabsAn action list: what, why, owner
Where it breaksSomeone forgets what the last export saidKnown limits are stated up front

What are the five questions, and why do they run in this order?

The check asks five questions in a fixed order: what is spiking, where is it coming from, where are competitors scaling, who is bidding on your brand, and what do you do this week. Each answer narrows the next question. The fifth only works because the first four are still in the conversation.

1. What’s spiking?

Search demand trends for your category and country over the last 28 days, plus your own leading folders and popular pages. This comes first because everything else needs a target. As of 4 October 2026, daily US search volume for “black friday deals” keywords averaged about 23,960 over 28 September to 4 October. That is 36% above the week of 7 September (about 17,580).

2. Where is it coming from?

AI chatbot referral traffic by landing page, you versus competitors, last 28 days. It ramps earlier than most calendars assume. From September to October 2025, AI chatbot referral visits to three US retailers rose 56% at Best Buy, 25% at Walmart and 24% at Target. By November, Best Buy’s had tripled to about 1.22 million, Target’s had nearly doubled (+98%) and Walmart’s was up 76%, according to Similarweb AI traffic data. Adobe forecasts that AI traffic to US retail sites will rise 130% year over year this holiday season, and 95% on Black Friday itself.

3. Where are competitors scaling?

Traffic channel mix for you and each competitor over four weeks. Find each competitor’s fastest-growing channel, then find where you’re underweight.

4. Who is bidding on your brand?

Competitor paid search on your brand keyword, last three months. If it’s happening, draft a short defensive brief. Be precise about the size. On the keyword “best buy” in November 2025, advertisers other than Best Buy took about 0.7% of paid clicks, according to Similarweb. That’s not a raid. It’s a ramp: Walmart’s paid clicks on that keyword rose from 503 in October to 2,884 in November, 5.7x.

5. What do you do this week?

Synthesize steps one to four into actions. Each gets a reason tied to the data and an owner: SEO, paid media, content, or leadership.
Step five can’t run as a separate query. It reads across everything before it.

What can this check not tell you?

The check has two known limits. Brand visibility across AI models needs an AI Visibility campaign already configured for your account. The branded-bid check uses monthly data from the last three months, so it confirms a pattern, not a start date.

Without a campaign, you still get AI chatbot referral traffic by landing page. You lose the mention-share view across LLM providers. It isn’t available ad hoc for any domain.

“A competitor bids on your brand” tells you the pattern exists. It doesn’t tell you they started on Tuesday. Treat both limits as inputs to a decision, not the decision.

What do you need to run a Black Friday competitor analysis this week?

You need six inputs: your domain, one to three competitor domains, a category, a country, your brand keyword, and whether an AI Visibility campaign is configured. Have them ready before you open the conversation and the chain runs without detours.

  • Your domain
  • 1–3 competitor domains
  • Your category or topic
  • Country
  • Your brand keyword
  • AI Visibility campaign: yes or no

Ask for every action in the same shape: what to do, why in one line, who owns it.

We wrote the exact prompts for each step. Get the full prompt playbook.

The team that wins is the one that’s fastest to an owner

Black Friday doesn’t reward the team with the most data. It rewards the team that gets from spike to owner while the spike still matters. A Black Friday competitor analysis built as five questions in one conversation ends in one action list. Anything slower is a report.

FAQs

How early should I start a competitor analysis for Black Friday?

Start in September and repeat weekly. US search volume for keywords tied to “black friday deals” rose 196% from September to October 2025, a month before November’s peak, according to Similarweb. Adobe expects US online spending of $95.8 billion in October 2026, up 8% year over year. Black Friday 2026 falls on 27 November, so the useful window to act on findings is already open.

Which metrics should I track?

Track four metrics: search demand in your category, AI chatbot referral traffic by landing page, traffic channel mix against each competitor, and competitor paid search on your brand keyword. Use 28-day windows for the first three and the last three months for branded bids. Each metric answers a different question, and the fifth step converts them into actions with an owner.

Can an AI assistant run a reliable competitor analysis for Black Friday?

It can when it queries a connected data source instead of generating figures from memory. With the Similarweb MCP connector, the assistant pulls demand, referral, channel and paid search data directly. Two limits apply: brand visibility across AI models needs an AI Visibility campaign already configured for your account, and the branded-bid check uses monthly data. Review the action list before you act on it.

Do competitors bid on brand keywords during Black Friday?

Some do, at a small scale. On the keyword “best buy” in November 2025, advertisers other than Best Buy took about 0.7% of paid clicks, according to Similarweb. Walmart’s paid clicks on that keyword rose from 503 in October to 2,884 in November. Treat that as a ramp to monitor, not a raid, and check your own brand keyword monthly.

Alina Miron photo

by Alina Miron

Senior Product Marketing Manager - Data and AI

lina is a Senior Product Marketing Manager for Data and AI at Similarweb, leading go-to-market for the company’s API, datafeeds and MCP. She brings more than a decade in adtech and marketing, six years of it in product marketing, across gaming, mobile advertising and B2B data. Most recently she led product marketing at Lusha, where she took the company’s data to developers and AI builders through API and MCP, and shipped partner launches with Clay, Make and monday.com. She helps data and AI products get bought, not just understood.

This post is subject to Similarweb legal notices and disclaimers.

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