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IBM Predicts Record Mobile Holiday Shopping

Payal Chakravarty

IBM projects another strong shopping season with online sales projected to increase 15 percent over the five-day period between Thanksgiving and Cyber Monday - part of IBM's predictions for the 2014 holiday shopping season based on billions of online and in-store transactions analyzed by the IBM Digital Analytics Benchmark and IBM Quarterly Retail Forecast.

The biggest increase in online sales is expected on Cyber Monday, predicted to grow 15.8 percent, followed closely by Thanksgiving with a projected increase of 15.6 percent.

Still widely considered the busiest day for in-store shopping, Black Friday online sales are expected to grow 13 percent as consumers find the best deals with their fingers as well as their feet.

A primary driver of online growth, mobile browsing is expected to account for 48.2 percent of all online traffic over the five-day period, an increase of 23 percent over last year.

Mobile sales are also expected to rise, accounting for 24.4 percent of all online sales, up 9.5 percent year-over-year.

Apple’s dominance in mobile shopping experiences is also expected to continue with iOS device traffic projected to double that of Android devices, and sales expected to quadruple.

Today’s predictions are based on historical and real-time trend data analyzed across hundreds of U.S. retail websites.

Other key predictions for this year’s U.S. holiday shopping season include:

■ Mobile is the New Thanksgiving Tradition: For the first time ever, IBM predicts more than half of all online shopping on Thanksgiving, roughly 53 percent, will come from a mobile device, up 23 percent year-over-year. Mobile sales are also expected to grow, reaching 28 percent of all Thanksgiving online sales, an increase of more than 9 percent over 2013. (1)

■ More Digital Coupons, Greater Savings for Consumers: As consumers become more comfortable with digital couponing, IBM predicts shoppers will save dollars this holiday season as they cash in on online deals. Consumers will spend on average $123.28 per online order over the five-day holiday period, a decrease of 2.9 percent over 2013. At the same time, the average number of items included in those purchases will be 4.4 items per order, an increase of 17 percent year-over-year. (1)

■ Retailers Give the Gift of Less Spam: IBM predicts click-through rates for emails sent during the five-day shopping period will be 10 percent higher than the same period last year, thanks to data-driven insight which allows marketers to reduce the amount of unwanted email and instead, deliver personalized and relevant promotions. The company also estimates that 35 percent of all click-throughs will happen on a mobile device. The highest volume of emails is expected on Cyber Monday. (2)

■ Smartphones Browse, Tablets Buy: Smartphones will continue to lead in mobile browsing over the five-day shopping period, accounting for 29 percent of all online traffic versus 15 percent for tablets. However, IBM predicts tablets will account for twice as many mobile purchases than smartphones thanks to the larger screen size. (1)

Data Sources

(1) Delivered through IBM ExperienceOne, IBM’s Digital Analytics Benchmark analyzes hundreds of terabytes of real-time shopping across participating US websites. The resulting insight – based on 370 performance indicators – helps retailers benchmark themselves against industry peers while driving more targeted customer engagements.

(2) Denotes Silverpop-specific data not included in the IBM Digital Analytics Benchmark report. Silverpop, an IBM Company, is a cloud-based digital marketing provider that offers email marketing and lead management solutions. The research examined messages sent by Silverpop's global client base, combining data from a variety of brands and message types. Messages include promotional emails, content-based newsletters, notifications and transactional emails.

Payal Chakravarty is Senior Product Manager for IBM Application Performance Management.

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IBM Predicts Record Mobile Holiday Shopping

Payal Chakravarty

IBM projects another strong shopping season with online sales projected to increase 15 percent over the five-day period between Thanksgiving and Cyber Monday - part of IBM's predictions for the 2014 holiday shopping season based on billions of online and in-store transactions analyzed by the IBM Digital Analytics Benchmark and IBM Quarterly Retail Forecast.

The biggest increase in online sales is expected on Cyber Monday, predicted to grow 15.8 percent, followed closely by Thanksgiving with a projected increase of 15.6 percent.

Still widely considered the busiest day for in-store shopping, Black Friday online sales are expected to grow 13 percent as consumers find the best deals with their fingers as well as their feet.

A primary driver of online growth, mobile browsing is expected to account for 48.2 percent of all online traffic over the five-day period, an increase of 23 percent over last year.

Mobile sales are also expected to rise, accounting for 24.4 percent of all online sales, up 9.5 percent year-over-year.

Apple’s dominance in mobile shopping experiences is also expected to continue with iOS device traffic projected to double that of Android devices, and sales expected to quadruple.

Today’s predictions are based on historical and real-time trend data analyzed across hundreds of U.S. retail websites.

Other key predictions for this year’s U.S. holiday shopping season include:

■ Mobile is the New Thanksgiving Tradition: For the first time ever, IBM predicts more than half of all online shopping on Thanksgiving, roughly 53 percent, will come from a mobile device, up 23 percent year-over-year. Mobile sales are also expected to grow, reaching 28 percent of all Thanksgiving online sales, an increase of more than 9 percent over 2013. (1)

■ More Digital Coupons, Greater Savings for Consumers: As consumers become more comfortable with digital couponing, IBM predicts shoppers will save dollars this holiday season as they cash in on online deals. Consumers will spend on average $123.28 per online order over the five-day holiday period, a decrease of 2.9 percent over 2013. At the same time, the average number of items included in those purchases will be 4.4 items per order, an increase of 17 percent year-over-year. (1)

■ Retailers Give the Gift of Less Spam: IBM predicts click-through rates for emails sent during the five-day shopping period will be 10 percent higher than the same period last year, thanks to data-driven insight which allows marketers to reduce the amount of unwanted email and instead, deliver personalized and relevant promotions. The company also estimates that 35 percent of all click-throughs will happen on a mobile device. The highest volume of emails is expected on Cyber Monday. (2)

■ Smartphones Browse, Tablets Buy: Smartphones will continue to lead in mobile browsing over the five-day shopping period, accounting for 29 percent of all online traffic versus 15 percent for tablets. However, IBM predicts tablets will account for twice as many mobile purchases than smartphones thanks to the larger screen size. (1)

Data Sources

(1) Delivered through IBM ExperienceOne, IBM’s Digital Analytics Benchmark analyzes hundreds of terabytes of real-time shopping across participating US websites. The resulting insight – based on 370 performance indicators – helps retailers benchmark themselves against industry peers while driving more targeted customer engagements.

(2) Denotes Silverpop-specific data not included in the IBM Digital Analytics Benchmark report. Silverpop, an IBM Company, is a cloud-based digital marketing provider that offers email marketing and lead management solutions. The research examined messages sent by Silverpop's global client base, combining data from a variety of brands and message types. Messages include promotional emails, content-based newsletters, notifications and transactional emails.

Payal Chakravarty is Senior Product Manager for IBM Application Performance Management.

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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 ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...