Skip to main content

Takeaways from the 2024 Holiday Shopping Season

Rob Mason
Applause

This past holiday season, my organization, Applause, conducted its fifth annual global survey on holiday shopping trends. With over 7,200 respondents from across the globe, the 2024 holiday shopping season revealed some interesting trends for consumers and retailers.

The Importance of Seamless Ecommerce Experiences

A reliable online shopping experience is becoming increasingly important to consumers, especially at checkout:

  • 26% of respondents said they would abandon an online purchase if they encountered a bug at any point during the experience.
  • 63% of respondents said they would abandon their shopping carts after a maximum of two purchase attempts, with 18% willing to try a third time.
  • Consumers are more likely to abandon a purchase at checkout (28%) than at any other part of the online shopping journey.

Evolving Payment Options

Consumers are continuing to diversify the way they make purchases, both in store and online — and if their preferred payment method isn't accepted, it's likely a dealbreaker:

  • 52% of respondents said they have started using a new payment method within the last year, such as a digital wallet, cryptocurrencies, and EFTs.
  • 76% of consumers are likely to abandon a transaction if their preferred payment method is not accepted.
  • Despite growing demand for digital wallets, respondents shared that only 58% of providers accept them.

AI, Mobile, and Social Media on the Rise

Mobile devices and social media are being used more often for online shopping, and AI is also now part of the holiday shopping experience:

  • 72% of respondents preferred to use a smartphone or tablet vs. a laptop or desktop for online shopping, up from 68% last year.
  • 76% of respondents said social media sometimes or often influences their holiday shopping.
  • 37% of respondents used AI to help with their holiday shopping this past year, primarily for purchasing an item recommended on social media or a website, finding gifts via visual search, or getting gift recommendations from a chatbot. Specifically: 62.2% purchased a recommended item, 51.5% used AI for a visual search to help locate a gift and 51.2% asked an AI chatbot for gift recommendations based on a person's interests.

Omnichannel Options Grow

It is increasingly essential for brands to provide a seamless omnichannel experience:

  • 48% of respondents said they would leave a brand due to poor omnichannel shopping experiences.
  • 44% of consumers have encountered an issue with buy online, pick up in-store (BOPIS) options, with the main issue being the purchase was not ready to collect despite email confirmation that it was (23%).
  • The main omnichannel experience issue for this holiday season was curbside pickup. Again, users found that their purchases were not ready as confirmed — others simply couldn't find the option on the app or website, among other challenges.

Bugs Persist With Online Shopping

Bugs and issues are still a part of the online shopping experience for many:

The most common issues for online shopping were:

  • Website crashes (43%)
  • Errors with discount codes and coupons (34%)
  • Unable to find items on the website (28%)
  • Unable to add items to cart (21%)
  • Unable to complete payment transactions (19%)

The 2024 holiday shopping season showed us that consumers are less tolerant than ever when it comes to poor quality online shopping experiences. As brands continue to add omnichannel experiences and accept more payment options, they must account for increasingly complex customer journeys and test those journeys accordingly. Looking ahead, organizations need to prioritize a seamless customer experience, taking lessons learned from the challenges and issues that impacted the last holiday shopping season. 

Rob Mason is CTO of Applause

Hot Topics

The Latest

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Takeaways from the 2024 Holiday Shopping Season

Rob Mason
Applause

This past holiday season, my organization, Applause, conducted its fifth annual global survey on holiday shopping trends. With over 7,200 respondents from across the globe, the 2024 holiday shopping season revealed some interesting trends for consumers and retailers.

The Importance of Seamless Ecommerce Experiences

A reliable online shopping experience is becoming increasingly important to consumers, especially at checkout:

  • 26% of respondents said they would abandon an online purchase if they encountered a bug at any point during the experience.
  • 63% of respondents said they would abandon their shopping carts after a maximum of two purchase attempts, with 18% willing to try a third time.
  • Consumers are more likely to abandon a purchase at checkout (28%) than at any other part of the online shopping journey.

Evolving Payment Options

Consumers are continuing to diversify the way they make purchases, both in store and online — and if their preferred payment method isn't accepted, it's likely a dealbreaker:

  • 52% of respondents said they have started using a new payment method within the last year, such as a digital wallet, cryptocurrencies, and EFTs.
  • 76% of consumers are likely to abandon a transaction if their preferred payment method is not accepted.
  • Despite growing demand for digital wallets, respondents shared that only 58% of providers accept them.

AI, Mobile, and Social Media on the Rise

Mobile devices and social media are being used more often for online shopping, and AI is also now part of the holiday shopping experience:

  • 72% of respondents preferred to use a smartphone or tablet vs. a laptop or desktop for online shopping, up from 68% last year.
  • 76% of respondents said social media sometimes or often influences their holiday shopping.
  • 37% of respondents used AI to help with their holiday shopping this past year, primarily for purchasing an item recommended on social media or a website, finding gifts via visual search, or getting gift recommendations from a chatbot. Specifically: 62.2% purchased a recommended item, 51.5% used AI for a visual search to help locate a gift and 51.2% asked an AI chatbot for gift recommendations based on a person's interests.

Omnichannel Options Grow

It is increasingly essential for brands to provide a seamless omnichannel experience:

  • 48% of respondents said they would leave a brand due to poor omnichannel shopping experiences.
  • 44% of consumers have encountered an issue with buy online, pick up in-store (BOPIS) options, with the main issue being the purchase was not ready to collect despite email confirmation that it was (23%).
  • The main omnichannel experience issue for this holiday season was curbside pickup. Again, users found that their purchases were not ready as confirmed — others simply couldn't find the option on the app or website, among other challenges.

Bugs Persist With Online Shopping

Bugs and issues are still a part of the online shopping experience for many:

The most common issues for online shopping were:

  • Website crashes (43%)
  • Errors with discount codes and coupons (34%)
  • Unable to find items on the website (28%)
  • Unable to add items to cart (21%)
  • Unable to complete payment transactions (19%)

The 2024 holiday shopping season showed us that consumers are less tolerant than ever when it comes to poor quality online shopping experiences. As brands continue to add omnichannel experiences and accept more payment options, they must account for increasingly complex customer journeys and test those journeys accordingly. Looking ahead, organizations need to prioritize a seamless customer experience, taking lessons learned from the challenges and issues that impacted the last holiday shopping season. 

Rob Mason is CTO of Applause

Hot Topics

The Latest

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...