Gartner: Majority of Technology Purchases Come with High Degree of Regret
August 18, 2022
Share this

As technology continues to become more critical to the business, technology customers have access to more options and information than ever before leading to more instances of buyer remorse.

56% of organizations said they had a high degree of purchase regret over their largest tech-related purchase in the last two years, according to a new survey by Gartner, Inc.

"The high regret feelings are at their peak for tech buyers that have not started implementation, indicating significant frustration with the buying experience," said Hank Barnes, distinguished VP analyst at Gartner. "In the past, it was relatively easy for product leaders to predict who buyers were, but no longer. Buying team dynamics are changing and customers can find buying to be a real challenge."

Barnes identified key changes in tech buying behavior: "There can be significant downside to regret associated with enterprise technology decisions. The survey found that the organizations that indicated they had high regret for their purchase took, on average, 7 to 10 months longer to complete that purchase. Slow purchase decisions can lead to frustrated teams, wasted time and resources and even, potentially, slower growth for the company."

According to the survey, 67% of people involved in technology-buying decisions are not in IT which means that anyone could be a tech buyer for their organization. In this environment, a new technology adoption chasm is emerging. This new chasm divides organizations that are confident adopters and buyers of technology from the vast majority that are not. High-tech providers need new approaches to identify and engage these different types of B2B customers and predict which type of customer they are dealing with to improve the odds of winning good business.

"To shift strategies, we need to think about psychographics beyond the motivations for buying to also include how decisions are approached and which groups are driving the strategy," said Barnes. "Gartner has developed a psychographic model called Enterprise Technology Adoption Profiles (ETAs) that revealed seven specific customer segments. Using ETAs is one element that can help high tech providers move from a product/market fit strategy towards a product/customer fit strategy."

Enterprise Technology Adoption Profiles (ETAs) are a proprietary model developed by Gartner that assesses the psychographics that drive how and when organizations make technology decisions.

Additionally, high tech providers should create a model to help identify "best fit" situations and "should avoid" situations. "Best fit" situations should be captured in an ideal customer profile — an enterprise persona — which focuses on the characteristics of the organizations being targeted, not the individuals within those organizations. It can include a variety of factors including the technologies they use, their business situation, the resources available to them and psychographic ETAs.

"There will be a big grey area in between that you have to be thoughtful in evaluating whether to commit to pursuing the opportunity. This is all about improving your odds and allocating resources and investments effectively," said Barnes.

Having a keen understanding of the ideal customers will help high tech providers shape their strategies. With this insight, Gartner recommends that high tech providers do three things:

1. Focus the bulk of investments and effort toward supporting the "best fit" situations with the right offering, the right messaging, and the right type of content and engagement activities.

2. Train customer-facing teams on how to recognize the customer characteristics that indicate a "best fit."

3. Train customer-facing teams on how to adjust their approach when encountering prospects that fall into the grey area between "best fit" and "should avoid."

Methodology: In November and December 2021, Gartner surveyed 1,120 respondents in North America, Western Europe and Asia/Pacific to understand how organizations approach large-scale buying efforts for enterprise technology. Respondents were required to be at a manager level or higher, aware of large-scale buying efforts for technology occurring during the past two years, and directly involved in the evaluation or selection of products or services for technology projects.

Share this

The Latest

October 17, 2024

Monitoring your cloud infrastructure on Microsoft Azure is crucial for maintaining its optimal functioning ... In this blog, we will discuss the key aspects you need to consider when selecting the right Azure monitoring software for your business ...

October 16, 2024

All eyes are on the value AI can provide to enterprises. Whether it's simplifying the lives of developers, more accurately forecasting business decisions, or empowering teams to do more with less, AI has already become deeply integrated into businesses. However, it's still early to evaluate its impact using traditional methods. Here's how engineering and IT leaders can make educated decisions despite the ambiguity ...

October 15, 2024

2024 is the year of AI adoption on the mainframe, according to the State of Mainframe Modernization Survey from Kyndryl ...

October 10, 2024

When employees encounter tech friction or feel frustrated with the tools they are asked to use, they will find a workaround. In fact, one in two office workers admit to using personal devices to log into work networks, with 32% of them revealing their employers are unaware of this practice, according to Securing the Digital Employee Experience ...

October 10, 2024

In today's high-stakes race to deliver innovative products without disruptions, the importance of feature management and experimentation has never been more clear. But what strategies are driving success, and which tools are truly moving the needle? ...

October 09, 2024
A well-performing application is no longer a luxury; it has become a necessity for many business organizations worldwide. End users expect applications to be fast, reliable, and responsive — anything less can cause user frustration, app abandonment, and ultimately lost revenue. This is where application performance testing comes in ....
October 08, 2024

The demand for real-time AI capabilities is pushing data scientists to develop and manage infrastructure that can handle massive volumes of data in motion. This includes streaming data pipelines, edge computing, scalable cloud architecture, and data quality and governance. These new responsibilities require data scientists to expand their skill sets significantly ...

October 07, 2024

As the digital landscape constantly evolves, it's critical for businesses to stay ahead, especially when it comes to operating systems updates. A recent ControlUp study revealed that 82% of enterprise Windows endpoint devices have yet to migrate to Windows 11. With Microsoft's cutoff date on October 14, 2025, for Windows 10 support fast approaching, the urgency cannot be overstated ...

October 04, 2024

In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.

October 03, 2024

CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...