Key Takeaways
- Cyber Monday is still the biggest day. Adobe measured $14.25 billion in US online spend on Cyber Monday 2025, up 7.1% year over year, against $11.8 billion on Black Friday.
- Black Friday is growing faster. Black Friday grew 9.1% in 2025 versus 7.1% for Cyber Monday, the second season in a row it outpaced Cyber Monday, and Adobe forecasts the same pattern for 2026.
- The headline Black Friday mobile app statistic: the phone is the default checkout. 56.4% of US online holiday transactions in 2025 happened on a smartphone, rising to 61.6% on Thanksgiving and 66.5% on Christmas Day.
- Globally, mobile carries even more of the order count. Salesforce says mobile devices drove 70% of online orders during Cyber Week 2025, both globally and in the US.
- Peak minutes are the real load test. US shoppers spent $16 million every minute between 8 pm and 10 pm on Cyber Monday 2025, about 1.6 times that day’s average minute.
- Traffic grows faster than revenue. On Shopify, merchant sales rose 27% from BFCM 2024 to 2025 while peak edge requests per minute rose about 72%, from 284 million to 489 million.
- AI shoppers are a new traffic source. Adobe recorded a 693.4% rise in traffic from generative AI tools to US retail sites over the 2025 season, from a base Adobe itself calls modest.
- The peak is turning into a plateau. In 2025, 25 separate days topped $4 billion in US online spend, up from 18 days in 2024, so your app has to hold up for weeks, not one weekend.
- Speed and errors are revenue lines. 17% of US online shoppers in Baymard Institute’s research cited site errors or crashes as a reason they abandoned a checkout.
Black Friday mobile app statistics are easy to find and hard to use. Most roundups mix sources, countries and years into one list. This page uses only figures we read on the original source page, says what each number measures, and ends every section with what it means for a founder.
The short version of the 2025 data: US shoppers spent a record $257.8 billion online over the holiday season, more than half of the transactions on a phone, and the busiest minutes of the busiest days carried far more load than the daily totals suggest. That combination, mobile-first demand arriving in sharp bursts, is what decides whether a shopping, delivery, booking or ticketing app earns money in November or spends it on refunds.
We built this for founders and operators rather than for marketers. At Miracuves we have spent years launching transactional apps for clients, and the questions we hear every November are practical: how big is the spike, how much is mobile, what does a broken checkout cost, and is there still time to launch.
A note on timing. Black Friday 2026 falls on November 27 and Cyber Monday on November 30. The figures here are final 2025 results, plus Adobe’s forecast for 2026 published in September 2026. Actual 2026 numbers do not exist yet; we will add them to this page after Cyber Monday, once Adobe, Salesforce and Shopify publish their results.
The 2025 BFCM Scoreboard: Every Key Number in One Place
Three organizations publish the numbers everyone quotes, and they measure different things. Adobe Analytics reports US online spend, based on over 1 trillion visits to US retail sites, 100 million SKUs and 18 product categories. Salesforce reports global and US sales from its own research, which blends first-party and third-party data with market assumptions. Shopify reports the sales its own merchants made over the BFCM weekend.
That is why Salesforce can report $18 billion for US Black Friday while Adobe reports $11.8 billion: different scope and method, and neither is wrong. Always cite a figure with its source, and never mix sources in one calculation.
| Metric (2025) | Figure | Source and scope |
|---|---|---|
| Holiday season online spend (Nov 1 to Dec 31) | $257.8B, up 6.8% YoY | Adobe, US online |
| Cyber Week (Thanksgiving to Cyber Monday) | $44.2B, up 7.7% YoY | Adobe, US online |
| Cyber Monday | $14.25B, up 7.1% YoY | Adobe, US online |
| Black Friday | $11.8B, up 9.1% YoY | Adobe, US online |
| Peak spend per minute (Cyber Monday, 8 pm to 10 pm) | $16M every minute | Adobe, US online |
| Mobile share of online transactions, full season | 56.4% (54.5% in 2024) | Adobe, US online |
| Traffic from generative AI tools to retail sites, season | up 693.4% YoY | Adobe, US retail sites |
| Cyber Week sales (Nov 25 to Dec 1) | $336.6B global, up 7%; $79.6B US, up 5% | Salesforce, global and US |
| Mobile share of online orders, Cyber Week | 70%, globally and in the US | Salesforce |
| Global orders influenced by AI and agents, Cyber Week | 20%, driving $67B in sales | Salesforce (modeled estimate) |
| BFCM weekend merchant sales | $14.6B, up 27% YoY | Shopify merchants, global |
| Peak sales per minute (12:01 pm EST, Black Friday) | $5.1M per minute | Shopify merchants, global |
| Peak edge requests per minute | 489M | Shopify infrastructure |
Sources for the table: Adobe’s 2025 holiday season recap and Cyber Monday 2025 recap, Salesforce’s Cyber Week 2025 results, and Shopify’s BFCM 2025 results.
Black Friday Mobile App Statistics: How Much of the Spend Happens on a Phone
Mobile crossed the halfway mark years ago. What changed in 2025 is how far past it the busiest days now sit. Adobe reports that 56.4% of US online holiday transactions in 2025 took place through a smartphone, up from 54.5% in 2024. On Cyber Monday 2025, 57.5% of online sales came through a mobile device, worth $8.2 billion and up 8.0% year over year.
The five-year trend is the part founders should remember. Adobe notes that in 2020, mobile took 41.4% of Cyber Monday online sales. By 2025 it took 57.5%, a gain of about 16 percentage points in five years. Thanksgiving 2025 was the first time mobile share crossed 60% on that day, at 61.6%, and Adobe forecasts a record 63% for Thanksgiving 2026.
Mobile peaks on family days, not deal days
Mobile share was highest on Christmas Day (66.5%), and Thanksgiving also passed 60% (61.6%), days when people shop away from a desk. Cyber Monday, a working day for most people in the US, sits lower at 57.5% even though it is the biggest day by dollars.
For an app founder, that means your most mobile-heavy traffic arrives on the days your own team is least likely to be at work. If on-call coverage, payment-gateway escalation contacts and customer support are planned around office hours, they are planned around the wrong days.
Salesforce’s 70% and why it is higher than Adobe’s
Salesforce reports that mobile devices drove 70% of online orders during Cyber Week 2025, both globally and in the US. That is a share of orders, while Adobe’s figures are a share of spend. The gap is consistent with smaller baskets on phones and larger, considered purchases still finishing on desktop, though neither source breaks out basket size by device, so treat that as an inference rather than a finding.
The practical reading: by order count, about seven in ten peak-week orders come from a phone; by revenue, a little over half. Both point to the mobile checkout as the build priority.
Payments follow the phone
Payment behavior is even more mobile than shopping behavior. Adobe found that smartphones drove 82.2% of Buy Now Pay Later purchases over the 2025 season, and BNPL hit an all-time high and crossed $1 billion in a single day on Cyber Monday ($1.03 billion). Salesforce reports that mobile wallets were used for 27% of all global Cyber Week orders and 29% in the US.
If your app still sends phone users through a card form with sixteen digits, an expiry date and a redirect, you are asking the majority of peak-week buyers to use the payment method they are moving away from.
What about native app versus mobile web?
This is the question most founders ask, and the honest answer is that none of the large independent datasets publish it. Adobe and Salesforce report mobile devices as a whole, which combines native apps and mobile browsers. The app-versus-web conversion figures that circulate online come mainly from vendors that sell app-building tools, and the gaps they report range from under two times to more than ten times. We did not use any of them here.
What the independent data does support: a native app gives you push notifications, a stored wallet, saved addresses and a logged-in user by default, which removes several of the checkout steps Baymard identifies as abandonment causes (more on that below). Measure your own split: tag every order with its channel (iOS app, Android app, mobile web, desktop) and compare conversion per session for each after the first season.
Spend by Day: Cyber Monday Is Bigger, Black Friday Grows Faster
Adobe’s day-by-day figures show a steady pattern over three years. Cyber Monday is the largest online shopping day in the US, with $13.3 billion in 2024 and $14.25 billion in 2025. Black Friday is smaller but growing faster: up 10.2% in 2024 and 9.1% in 2025, against 7.3% and 7.1% for Cyber Monday.
Adobe’s 2026 forecast, published on September 28, 2026, keeps the same shape: $15.1 billion for Cyber Monday (up 6.2%) and $12.9 billion for Black Friday (up 9.2%), with Cyber Week at $47.5 billion and the full season at $275.1 billion. Adobe attributes Black Friday’s faster growth to earlier discounts pulling demand forward.
The peak is becoming a plateau
The most underrated number in Adobe’s 2025 recap is not a single day at all. In 2025, consumers spent more than $4 billion online on 25 separate days, against 18 days in 2024.
That changes how you plan. A team can survive one hard weekend on manual fixes, not four weeks. If your release freeze, your extra infrastructure and your support rota only cover Thanksgiving to Cyber Monday, they end while a large share of the season’s high-spend days are still ahead.
Forecasts have been conservative
On December 2, 2025, after Cyber Week, Adobe expected the full 2025 season to reach $253.4 billion. The final figure, published in January 2026, was $257.8 billion, about $4.4 billion or 1.7% higher. Cyber Monday 2025 also beat Adobe’s initial projection of $14.2 billion.
The lesson is direction, not size: recent forecasts have erred low. Plan capacity for your forecast plus a margin, and decide in advance what you will switch off (heavy recommendations, non-essential emails, analytics batch jobs) if demand runs above it.
Peak Minutes: The Number Your Infrastructure Actually Has to Survive
Daily totals hide the moment that breaks apps. Adobe reports that between 8 pm and 10 pm on Cyber Monday 2025, US consumers spent $16 million every minute; in 2024 the same window reached $15.8 million per minute. On Shopify, merchant sales peaked at 12:01 pm EST on Black Friday 2025 at a record $5.1 million per minute.
Here is the arithmetic that turns those headlines into a planning ratio. Cyber Monday 2025’s $14.25 billion spread evenly over 1,440 minutes would be about $9.9 million per minute, so the peak window ran at roughly 1.6 times the day’s average minute (in 2024 it was about 1.7 times). The 2025 season’s $257.8 billion over 61 days averages about $4.2 billion a day, which makes Cyber Monday roughly 3.4 times an average holiday-season day. Multiply the two and the peak Cyber Monday minute ran at about 5.5 times an average minute of the season.
| Planning ratio (derived from Adobe 2025) | Value | How it is calculated |
|---|---|---|
| Peak minute vs average minute, Cyber Monday | about 1.6x | $16M per minute peak / ($14.25B / 1,440 minutes) |
| Cyber Monday vs average season day | about 3.4x | $14.25B / ($257.8B / 61 days) |
| Peak Cyber Monday minute vs average season minute | about 5.5x | 1.62 x 3.37, rounded |
| Days above $4B in US online spend | 25 (18 in 2024) | Reported directly by Adobe |
A worked example for a small app
Say your marketplace averages 1,000 orders a day in early November. If your traffic follows the national shape, Cyber Monday lands around 3,400 orders. Spread over the day that is about 2.4 orders a minute, and the peak window runs near 3.8 orders a minute, about five and a half times your normal November minute (1,000 orders a day is only 0.7 orders a minute).
Now convert orders into load using your own analytics, not a rule of thumb: count the API requests a typical buying session makes (search, product views, cart updates, address lookup, payment, confirmation, push receipts) and multiply. Then add margin, because national averages smooth out the spikes a single app sees. One push notification to your whole user base can create a sharper spike than any national curve shows. If you have shipped quickly, perhaps with AI-generated code, our breakdown of why AI-built apps crash when real users arrive covers the failure points that show up first.
Traffic grows faster than revenue
Shopify’s published figures make this point better than any forecast model. From BFCM 2024 to BFCM 2025, merchant sales grew 27%. Over the same period, peak requests per minute on Shopify’s app servers rose from 80 million to more than 117 million, and peak requests per minute at the edge rose from 284 million to 489 million.
$14.6B in 2025
80M to 117M+
284M to 489M
Edge traffic includes shoppers browsing, bots and the AI tools covered next. Not all of it buys, but all of it has to be served. Shopify also reports handling 14.8 trillion database queries and 1.75 trillion database writes over the weekend, roughly 8.5 reads for every write. For a founder that ratio is the argument for caching: most peak load is people looking, and looking should not touch your primary database.
The rule that follows: size capacity from expected requests, not expected revenue.
AI Shoppers and Agents: The New Line in the 2025 Data
AI traffic became a headline line in Adobe’s data in 2025. Adobe measured a 693.4% increase in traffic to US retail sites from generative AI tools over the season, counted as shoppers clicking a link from an AI tool to a retail site. On Cyber Monday alone, AI traffic rose 670%. Adobe is careful to add that the base of users remains modest, so these are growth rates on a small starting point.
Salesforce frames it more broadly. It estimates that AI and agents influenced 20% of all global Cyber Week orders and drove $67 billion in sales, through product recommendations and conversational customer service. Retailers using Salesforce’s agent tools saw sales grow 32% faster than those without, agentic customer service conversations grew 55% week over week, and agent actions such as updating delivery addresses and starting returns rose 70% compared with the previous week. These are Salesforce’s own platform and modeled figures, and they describe its customers, so read them as direction rather than as an industry census.
For 2026, Adobe forecasts AI traffic to US retail sites to rise 130% year over year, with the largest increases on Thanksgiving (up 159%) and Black Friday (up 95%). Salesforce’s 2026 holiday predictions, published in July 2026, go further: it expects 20% of all 2026 holiday ecommerce traffic to originate from AI chat agents, and 1 in 3 ecommerce sites to have a site-specific shopper agent live by Cyber Week 2026.
What AI traffic asks of your app
- Readable product data. AI tools recommend what they can parse. Clean titles, prices, stock and delivery estimates in structured data make your products eligible to be suggested.
- Deep links that land in the app. A shopper who clicks from an AI answer should land on the exact product, in the app if installed, with the cart one tap away.
- Rate limits that tell good bots from bad ones. Blocking all automated traffic blocks the referrals too; allowing all of it lets scrapers eat your peak capacity. Decide per path, and keep checkout protected.
- Self-service for the boring requests. Salesforce’s examples of the agent actions that rose 70% include updating delivery addresses and initiating returns. Let the app answer requests like those itself.
What Slow Pages, Errors and Outages Cost During a Sale
Everything above describes demand. Three datasets show how much of it an app throws away: through slow pages, abandoned checkouts and outages.
Speed: a tenth of a second is measurable
The best controlled dataset on mobile speed is still the Deloitte study commissioned by Google, “Milliseconds Make Millions”. The research team studied 37 European and American brand sites and over 30 million sessions, with load times monitored for 30 days at the end of 2019, so treat it as historical. It found that a 0.1 second improvement in mobile site speed increased conversion rates by 8.4% for retail sites and 10.1% for travel sites, and retail shoppers also spent 9.2% more.
Read those as relative lifts. If your mobile checkout converts at 2.0% of sessions, an 8.4% lift takes it to about 2.17%. Applied to peak-week traffic, when every visit costs the most to acquire, that is real money, and a page that slows under load loses it in reverse.
Checkout: seven in ten carts are left behind
Baymard Institute puts the average documented cart abandonment rate at 70.22%, the average of 50 studies. Some of that is unavoidable: 42% of US shoppers in Baymard’s research abandoned because they were just browsing. The rest is a list of fixable product decisions.
Two things stand out for app founders. First, 17% of US shoppers in Baymard’s research cited site errors or crashes as a reason for abandoning, which is a pure engineering outcome and the one most likely to spike under holiday load. Second, several of the top reasons (forced account creation, a long checkout, not seeing the total cost, too few payment methods) are things a well-built mobile app removes by design: the user is already signed in, the address and wallet are stored, and the total can be shown before the final tap.
Baymard estimates that large ecommerce sites can gain a 35.26% increase in conversion rate through better checkout design, and that $260 billion worth of lost orders across the US and EU is recoverable that way.
Outages: the bill is usually six figures
Uptime Institute’s Annual Outage Analysis 2026 reports that 57% of respondents to its 2025 survey said their most recent major outage cost more than $100,000, and for the second year in a row one in five said their most recent impactful outage cost more than $1 million. Uptime’s survey is not limited to app startups, so treat the figures as a general guide; the cost shape is the same at any size: lost sales, refunds, staff time, and paid traffic running into an error page.
Put the earlier ratios to work. If your app expects $60,000 in sales on Cyber Monday, the average minute is worth about $42 and the peak window about $67 a minute. A 45-minute failure during that window costs roughly $3,000 in direct sales before you count ad spend, refunds, or the customers who uninstall and do not come back in December. For flash-sale style traffic specifically, our piece on headless commerce and flash-sale scalability covers where checkout downtime usually starts.
What the 2025 Data Means for App Founders: Seven Decision Rules
Statistics only matter if they change a decision. These are the ones we would make from the 2025 numbers.
- 1. Build and test checkout on a phone first. Desktop is the secondary flow now. Test checkout on a mid-range Android phone on a mobile network, not a developer laptop.
- 2. Plan capacity from the peak minute, not the daily total. Use the 1.6x and 3.4x ratios as a floor, multiply by your measured requests per session, and add margin for your own campaigns.
- 3. Staff for holidays, not office days. Keep the people who can fix payments and deployments reachable on Thanksgiving and Christmas Day.
- 4. Treat the season as a plateau. Protect mid-November to late December, not just Cyber Week.
- 5. Offer the payment methods phones use. Wallets and BNPL, not card-only forms.
- 6. Make your catalog readable by AI tools. Structured product data and deep links cost little and decide whether you appear in AI answers.
- 7. Remove the abandonment causes you control. Show the full cost early, allow one-tap checkout, and treat errors and crashes as launch-blocking during the season.
Founder Decision Signals: Is Your App Ready for the Next Peak?
Mobile checkout time
Can a signed-in user go from product page to paid order on a phone in under a minute, using a wallet?
Peak-minute headroom
Has the app been load tested at five or more times your average November minute without errors?
Holiday coverage
Is someone who can fix payments and deploy a rollback on call on Thanksgiving and Christmas Day?
Channel measurement
Is every order tagged by channel (iOS, Android, mobile web, desktop) so next year’s plan uses your own data?
How Miracuves Helps App Founders Turn Peak-Season Demand Into Orders
The data says the holiday buyer is on a phone, pays with a wallet or in installments, and arrives in bursts. Miracuves builds for exactly that buyer. Every ready-made solution includes Android and iOS apps, a web admin panel and full source code ownership, so you are not renting a storefront you cannot change when next November’s numbers arrive.
Our team has delivered more than 9,000 projects and published over 3,900 apps across 35+ industries, and the catalog now covers 90+ ready-made app solutions, from an Amazon-style multi-vendor marketplace to food delivery, ride hailing, booking and ticketing. Ready-made solutions start from $2,199.
Timing matters more than usual in this market. A ready-made solution launches in 6 working days from kickoff once you supply branding, hosting, developer accounts and your payment gateway. App store review is separate and set by Apple and Google, so if you are reading this in the weeks before Black Friday, plan for the December run (Christmas Day had the highest mobile share of the 2025 season) or for a Q1 launch that gives you a full year of data before next November. Custom development typically takes 15-30 days, extending to 45 or 60 days depending on scope, and is scoped and quoted in writing. When a ready-made base stops fitting, our guide to moving beyond a ready-made app to custom architecture explains how that transition works.
Launch is not the end of the work, especially in a peak season. Every ready-made solution comes with 60 days of dedicated platform guidance, 6 months of priority bug resolution and 12 months of continuous product evolution, all running concurrently from launch, backed by our QA process. First response comes in under 2 hours, Monday to Saturday, 10:00 to 19:00 IST. If you want to map these numbers onto your own app, book a consultation with the Miracuves team.
If these numbers point to gaps in your own app, the next step is practical. Our Black Friday app readiness checklist turns them into 30 checks you can run before peak week, how Amazon, Shopify and Alibaba engineer for their biggest sales days shows the same patterns at global scale, and the app launch cost and budget guide covers what it takes to launch a new app before the next season.
Final Thoughts
The 2025 numbers tell a consistent story. Spending set records, the phone carried most of the transactions, Black Friday kept gaining on Cyber Monday, the season stretched into a plateau of very high days, and traffic grew faster than revenue as AI tools joined the shoppers. Plan from peak minutes and mobile checkout, not from last year’s sales line.
If you take one thing from this page, make it the order of priorities: a fast, simple mobile checkout first, capacity for the peak minute second, and everything else after that. We will update these figures with 2026 actuals once Adobe, Salesforce and Shopify publish them after Cyber Monday, and when you are ready to build for the next peak, Miracuves can have a ready-made platform launched in 6 working days from kickoff.
Frequently Asked Questions
What percentage of Black Friday shopping happens on mobile?
Adobe found that 56.4% of US online holiday transactions in 2025 happened on a smartphone, and 57.5% of Cyber Monday online sales came through a mobile device. Mobile share was highest on Christmas Day at 66.5% and Thanksgiving at 61.6%. Salesforce, which counts orders rather than spend, reports that mobile devices drove 70% of online orders during Cyber Week 2025.
How much did US shoppers spend online on Black Friday and Cyber Monday 2025?
According to Adobe Analytics, US consumers spent $11.8 billion online on Black Friday 2025, up 9.1% year over year, and $14.25 billion on Cyber Monday, up 7.1%. Cyber Week, from Thanksgiving to Cyber Monday, reached $44.2 billion, and the full holiday season from November 1 to December 31 reached a record $257.8 billion.
Why do Adobe, Salesforce and Shopify report different Black Friday numbers?
They measure different things. Adobe reports US online spend from more than 1 trillion visits to US retail sites. Salesforce reports global and US sales from its own research, blending first-party and third-party data with market assumptions. Shopify reports sales made by its own merchants. Each figure is valid for its scope, so always cite the source with the number and never mix them in one calculation.
What is the 2026 Black Friday forecast?
In September 2026, Adobe forecast $12.9 billion in US online spend on Black Friday 2026, up 9.2%, and $15.1 billion on Cyber Monday, up 6.2%. It expects Cyber Week to reach $47.5 billion and the full season $275.1 billion, with mobile at 57.4% of season spend. Actual 2026 figures will be added to this page after Cyber Monday.
How much traffic should my app be ready for on Cyber Monday?
Use your own numbers, scaled by the national shape. In Adobe’s 2025 data, Cyber Monday ran about 3.4 times an average holiday-season day, and its peak minute ran about 1.6 times the day’s average minute. Multiply your normal daily orders by those ratios, convert orders into requests using your own analytics, then add margin for push notifications and campaigns.
Do shopping apps convert better than mobile websites?
Large independent datasets from Adobe and Salesforce report mobile devices as a whole and do not split native apps from mobile browsers. Published app-versus-web comparisons mostly come from app-building vendors and vary widely. A native app does remove several known abandonment causes, such as account creation and re-entering payment details, so the practical step is to tag orders by channel and measure your own conversion.
How quickly can I launch a shopping app before the next holiday season?
A Miracuves ready-made solution launches in 6 working days from kickoff, once you provide branding, hosting, developer accounts and a payment gateway. Apple and Google set their own app store review times, which are separate. If the season has already started, a December or Q1 launch still captures high-mobile days and gives you a full year of data before next November.
What is included in a Miracuves ready-made app solution?
Every Miracuves ready-made solution includes Android and iOS apps, a web admin panel and full source code ownership. Support includes 60 days of dedicated platform guidance, 6 months of priority bug resolution and 12 months of continuous product evolution, running concurrently from launch. First response comes within 2 hours, Monday to Saturday, 10:00 to 19:00 IST.
Miracuves is an independent software development company. We are not affiliated with, connected to, sponsored by, or endorsed by any company or product named in this article.
Terms such as “X Clone” are used descriptively. It is how the software industry refers to building a platform with functionality comparable to a known service, and how clients search for it.
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