Skip to main content

More Than 164 Million Consumers Plan to Shop Over Thanksgiving Weekend and Cyber Monday

The biggest shopping weekend of the year is right around the corner and 69 percent of Americans — an estimated 164 million people — are planning to shop or considering shopping during Thanksgiving weekend, according to the annual survey released today by the National Retail Federation and Prosper Insights & Analytics. For the first time in survey history, the numbers include Cyber Monday in addition to Thanksgiving Day, Black Friday, Small Business Saturday and Sunday.

“This year, we updated our survey to more accurately capture consumer behavior throughout the entire shopping weekend — Thanksgiving Day through Cyber Monday,” NRF President and CEO Matthew Shay said. “Consumers will benefit from competitive promotions both in stores and online lasting the course of the weekend, allowing them to find the best gifts at the lowest prices.”

Of those considering shopping the long holiday weekend, the survey found that 20 percent plan to shop on Thanksgiving Day (32 million) but Black Friday will remain the busiest day with 70 percent planning to shop then (115 million). A substantial 43 percent are expected to shop on Saturday (71 million), with 76 percent saying they will do so specifically to support Small Business Saturday. On Sunday, 21 percent expect to shop (35 million) and 48 percent are expected to shop on Cyber Monday (78 million).

Of those shopping, 66 percent said they’re doing so to take advantage of deals and promotions retailers will offer, while 26 percent cited the tradition of shopping over Thanksgiving weekend and 23 percent said it’s something to do over the holiday weekend. Another 23 percent said it is when they start their holiday shopping.

According to the survey, 56 percent of Americans have already started their holiday shopping, but most still have a long way to go. Only 12 percent of consumers have completed at least half of their shopping, while only 2 percent have finished all of their holiday shopping.

When asked what they enjoy the most about shopping during the holidays, 35 percent said it is a family tradition while 23 percent said they most enjoy holiday decorations and displays; 18 percent cited finding the perfect gift for someone.

“While the utility of the weekend will continue to draw shoppers into stores and online to efficiently and inexpensively check off their lists, we’re also seeing consumers report tradition and the opportunity to partake in holiday cheer as reasons for shopping, too,” Prosper Principal Analyst Pam Goodfellow said. “By now, people know what sort of deals they can expect to see during the weekend and are budgeting for them accordingly, and in many cases expertly.”

“For Gen Z, the holiday shopping weekend is a can’t-miss opportunity,” Goodfellow said. “This group overwhelmingly sees in-store shopping as a valuable way to connect with others, be it friends, family or store associates at their favorite retailers.”

While many consumers will take advantage of deals over Thanksgiving weekend, 31 percent will refrain from shopping that weekend. Of those not planning to participate, 52 percent won’t shop because they do not enjoy the experience and 51 percent say they never shop during Thanksgiving weekend. Of those not shopping, 46 percent said nothing would change their mind but 27 percent said a good sale or discount on an item they want could get them to shop.

The survey, which asked 7,439 consumers about their shopping plans, was conducted October 31-November 7 and has a margin of error of plus or minus 1.2 percentage points.

Hot Topic

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

More Than 164 Million Consumers Plan to Shop Over Thanksgiving Weekend and Cyber Monday

The biggest shopping weekend of the year is right around the corner and 69 percent of Americans — an estimated 164 million people — are planning to shop or considering shopping during Thanksgiving weekend, according to the annual survey released today by the National Retail Federation and Prosper Insights & Analytics. For the first time in survey history, the numbers include Cyber Monday in addition to Thanksgiving Day, Black Friday, Small Business Saturday and Sunday.

“This year, we updated our survey to more accurately capture consumer behavior throughout the entire shopping weekend — Thanksgiving Day through Cyber Monday,” NRF President and CEO Matthew Shay said. “Consumers will benefit from competitive promotions both in stores and online lasting the course of the weekend, allowing them to find the best gifts at the lowest prices.”

Of those considering shopping the long holiday weekend, the survey found that 20 percent plan to shop on Thanksgiving Day (32 million) but Black Friday will remain the busiest day with 70 percent planning to shop then (115 million). A substantial 43 percent are expected to shop on Saturday (71 million), with 76 percent saying they will do so specifically to support Small Business Saturday. On Sunday, 21 percent expect to shop (35 million) and 48 percent are expected to shop on Cyber Monday (78 million).

Of those shopping, 66 percent said they’re doing so to take advantage of deals and promotions retailers will offer, while 26 percent cited the tradition of shopping over Thanksgiving weekend and 23 percent said it’s something to do over the holiday weekend. Another 23 percent said it is when they start their holiday shopping.

According to the survey, 56 percent of Americans have already started their holiday shopping, but most still have a long way to go. Only 12 percent of consumers have completed at least half of their shopping, while only 2 percent have finished all of their holiday shopping.

When asked what they enjoy the most about shopping during the holidays, 35 percent said it is a family tradition while 23 percent said they most enjoy holiday decorations and displays; 18 percent cited finding the perfect gift for someone.

“While the utility of the weekend will continue to draw shoppers into stores and online to efficiently and inexpensively check off their lists, we’re also seeing consumers report tradition and the opportunity to partake in holiday cheer as reasons for shopping, too,” Prosper Principal Analyst Pam Goodfellow said. “By now, people know what sort of deals they can expect to see during the weekend and are budgeting for them accordingly, and in many cases expertly.”

“For Gen Z, the holiday shopping weekend is a can’t-miss opportunity,” Goodfellow said. “This group overwhelmingly sees in-store shopping as a valuable way to connect with others, be it friends, family or store associates at their favorite retailers.”

While many consumers will take advantage of deals over Thanksgiving weekend, 31 percent will refrain from shopping that weekend. Of those not planning to participate, 52 percent won’t shop because they do not enjoy the experience and 51 percent say they never shop during Thanksgiving weekend. Of those not shopping, 46 percent said nothing would change their mind but 27 percent said a good sale or discount on an item they want could get them to shop.

The survey, which asked 7,439 consumers about their shopping plans, was conducted October 31-November 7 and has a margin of error of plus or minus 1.2 percentage points.

Hot Topic

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...