Skip to main content

Influencing Cloud Buyers' (Not So) Collective Choices

Peter Tsai
SWZD

We have good and bad news for cloud vendors catching their breath post-pandemic: there's little time to rest. The boom of buyers adopting cloud tech to support the initial rush to remote work in 2020 might be behind us, but that was only the beginning.


In 2021, Spiceworks Ziff Davis (SWZD) conducted a survey of 500+ cloud decision makers — 300+ IT decision makers (ITDMs) and 200+ business decision makers (BDMs) — to gain insights into buying patterns a year into the pandemic as the demand for tech to support flexible work arrangements rises.

The survey says: A whopping 80% of decision makers said that cloud technologies are useful for supporting remote workers. Also, organizations with flexible work policies are more likely to use cloud technologies — and make a decision to buy them more quickly: 31% of organizations that have flexible remote work arrangements complete the cloud buying process in less than three months vs. 25% of organizations that don't allow remote work.

Analysis revealed insights on the cloud buying collective — a group of stakeholders in an organization that influences tech purchase decisions — including some unexpected differences between the ITDMs and BDMs within them.

Don't worry: Engaging buyers isn't complicated, if you know who they are and what they're looking for (or better yet, how they look for it).

Cloudy with a Chance of Adoption

The move to the cloud shows no signs of slowing down in the coming years, even as some of the workforce returns to physical offices. By 2023, 67% of companies plan to adopt at least one new type of cloud technology, and 50% of all business workloads are expected to run in the cloud.

Among the many technologies companies going remote will leverage — cloud-file sharing, cloud backup and recovery, cloud-based storage, software-as-a-service, etc. — solutions to secure cloud infrastructure and cloud-based security solutions are poised to see the most adoption growth over the next two years (18 and 16 percentage points, respectively), with usage accelerating at an even faster rate among businesses that support remote workers.

For example, a majority of companies (51%) that support flexible work plan to adopt solutions for securing cloud infrastructure by 2023, compared to only 28% of companies that don't support flexible work arrangements.

The Collective Choice on Cloud

In the vast majority of organizations (91%), there's a buying collective, meaning there's no single decision maker that exclusively owns the entire cloud buying process. Instead, 6 - 8 decision makers within an organization comprise the "buying collective" on average. These stakeholders tend to consider the purchase through their own unique lens, and their views influence their organization's final decision to varying degrees throughout the buying journey.

There are two main groups of players in the cloud buying collective: ITDMs and BDMs. ITDMs determine needs on the front end, evaluate solutions, and advise BDMs on purchase decisions. BDMs approve funds for purchases, make final purchase decisions, and sign-off on purchases.

While these two groups play different roles in the buying process, they do agree on some things. When these stakeholders research potential solutions, ITDMs and BDMs both believe it's most important that technologies offer reliability/availability, ease-of-use, satisfactory total cost of ownership (TCO), and adequate security capabilities/features.

When looking for information about a cloud product, both ITDMs and BDMs also seek transparent pricing information, product demos/walkthroughs, detailed product specs/technical information, deployment guides/documentation, and side-by-side feature comparisons of similar products.

When it comes to cost, however, the two groups see things a little differently:

■ 62% of BDMs believe using public cloud is cheaper than self-hosting applications, while only 46% of ITDMs believe this to be true.

■ 55% of BDMs say their organizations would rather pay for tech infrastructure as an operational expense (OpEx) rather than a less frequent but larger capital expense (compared to 47% if ITDMs).

■ 44% of BDMs in the US said their organization prefers OpEx over CapEx, compared to only 27% of ITDMs.

■ 59% of BDMs said using cloud services can reduce the need for developing specialized IT skills and expertise in-house, compared to 50% of ITDMs.

■ BDMs are more likely than ITDMs (49% vs. 39%) to believe their organization follows a "cloud-first" technology strategy.

Connecting with Cloud Buyers

Marketers selling cloud solutions will be most effective at engaging members of the buying collective by understanding the pain-points of both ITDMs and BDMs, and tailoring content and outreach efforts for each group.

Additionally, both groups believe specific types of content best help them understand what it's like to use a cloud solution (e.g., demos/walk throughs, how-to guides, hands-on labs, product reviews).

Notice the one thing each of these content types have in common?

They each give the buyer an opportunity to "try before they buy" or offer a better sense of what it's like to actually use the cloud solution, whether that's through use of the interface, peer feedback, or online video.

In many cases, cloud buyers want to connect with brands as much as marketers want to engage with them. To optimize their marketing efforts, cloud vendors need to understand what their buyers really want, and cater to their content needs.

Interested in learning more? Check out our more in-depth cloud research on SWZD.com.

Peter Tsai is Head of Technology Insights at SWZD

Hot Topics

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 ...

Influencing Cloud Buyers' (Not So) Collective Choices

Peter Tsai
SWZD

We have good and bad news for cloud vendors catching their breath post-pandemic: there's little time to rest. The boom of buyers adopting cloud tech to support the initial rush to remote work in 2020 might be behind us, but that was only the beginning.


In 2021, Spiceworks Ziff Davis (SWZD) conducted a survey of 500+ cloud decision makers — 300+ IT decision makers (ITDMs) and 200+ business decision makers (BDMs) — to gain insights into buying patterns a year into the pandemic as the demand for tech to support flexible work arrangements rises.

The survey says: A whopping 80% of decision makers said that cloud technologies are useful for supporting remote workers. Also, organizations with flexible work policies are more likely to use cloud technologies — and make a decision to buy them more quickly: 31% of organizations that have flexible remote work arrangements complete the cloud buying process in less than three months vs. 25% of organizations that don't allow remote work.

Analysis revealed insights on the cloud buying collective — a group of stakeholders in an organization that influences tech purchase decisions — including some unexpected differences between the ITDMs and BDMs within them.

Don't worry: Engaging buyers isn't complicated, if you know who they are and what they're looking for (or better yet, how they look for it).

Cloudy with a Chance of Adoption

The move to the cloud shows no signs of slowing down in the coming years, even as some of the workforce returns to physical offices. By 2023, 67% of companies plan to adopt at least one new type of cloud technology, and 50% of all business workloads are expected to run in the cloud.

Among the many technologies companies going remote will leverage — cloud-file sharing, cloud backup and recovery, cloud-based storage, software-as-a-service, etc. — solutions to secure cloud infrastructure and cloud-based security solutions are poised to see the most adoption growth over the next two years (18 and 16 percentage points, respectively), with usage accelerating at an even faster rate among businesses that support remote workers.

For example, a majority of companies (51%) that support flexible work plan to adopt solutions for securing cloud infrastructure by 2023, compared to only 28% of companies that don't support flexible work arrangements.

The Collective Choice on Cloud

In the vast majority of organizations (91%), there's a buying collective, meaning there's no single decision maker that exclusively owns the entire cloud buying process. Instead, 6 - 8 decision makers within an organization comprise the "buying collective" on average. These stakeholders tend to consider the purchase through their own unique lens, and their views influence their organization's final decision to varying degrees throughout the buying journey.

There are two main groups of players in the cloud buying collective: ITDMs and BDMs. ITDMs determine needs on the front end, evaluate solutions, and advise BDMs on purchase decisions. BDMs approve funds for purchases, make final purchase decisions, and sign-off on purchases.

While these two groups play different roles in the buying process, they do agree on some things. When these stakeholders research potential solutions, ITDMs and BDMs both believe it's most important that technologies offer reliability/availability, ease-of-use, satisfactory total cost of ownership (TCO), and adequate security capabilities/features.

When looking for information about a cloud product, both ITDMs and BDMs also seek transparent pricing information, product demos/walkthroughs, detailed product specs/technical information, deployment guides/documentation, and side-by-side feature comparisons of similar products.

When it comes to cost, however, the two groups see things a little differently:

■ 62% of BDMs believe using public cloud is cheaper than self-hosting applications, while only 46% of ITDMs believe this to be true.

■ 55% of BDMs say their organizations would rather pay for tech infrastructure as an operational expense (OpEx) rather than a less frequent but larger capital expense (compared to 47% if ITDMs).

■ 44% of BDMs in the US said their organization prefers OpEx over CapEx, compared to only 27% of ITDMs.

■ 59% of BDMs said using cloud services can reduce the need for developing specialized IT skills and expertise in-house, compared to 50% of ITDMs.

■ BDMs are more likely than ITDMs (49% vs. 39%) to believe their organization follows a "cloud-first" technology strategy.

Connecting with Cloud Buyers

Marketers selling cloud solutions will be most effective at engaging members of the buying collective by understanding the pain-points of both ITDMs and BDMs, and tailoring content and outreach efforts for each group.

Additionally, both groups believe specific types of content best help them understand what it's like to use a cloud solution (e.g., demos/walk throughs, how-to guides, hands-on labs, product reviews).

Notice the one thing each of these content types have in common?

They each give the buyer an opportunity to "try before they buy" or offer a better sense of what it's like to actually use the cloud solution, whether that's through use of the interface, peer feedback, or online video.

In many cases, cloud buyers want to connect with brands as much as marketers want to engage with them. To optimize their marketing efforts, cloud vendors need to understand what their buyers really want, and cater to their content needs.

Interested in learning more? Check out our more in-depth cloud research on SWZD.com.

Peter Tsai is Head of Technology Insights at SWZD

Hot Topics

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 ...