Sample size 200
Completed / Failed 200 / 0
Which of these factors is the most significant reason for your organization to discontinue the use of a SaaS tool?
Poor ROI / no measurable results
37.0%
n=74
Respondents for this option · Drivers
Financial sustainability and budget alignment
Direct impact on operational efficiency
Technical stability and ecosystem compatibility
Internal team culture and user experience
Strategic competitive advantage
Low adoption by the team
16.5%
n=33
Respondents for this option · Drivers
Internal team culture and user experience
Financial sustainability and budget alignment
Technical stability and ecosystem compatibility
Strategic competitive advantage
Integration / data problems with our stack
16.5%
n=33
Respondents for this option · Drivers
Technical stability and ecosystem compatibility
Internal team culture and user experience
Strategic competitive advantage
Financial sustainability and budget alignment
Direct impact on operational efficiency
A competitor offers something clearly better
14.0%
n=28
Respondents for this option · Drivers
Strategic competitive advantage
Direct impact on operational efficiency
Internal team culture and user experience
Financial sustainability and budget alignment
Technical stability and ecosystem compatibility
Price increase / budget pressure
12.0%
n=24
Respondents for this option · Drivers
Financial sustainability and budget alignment
Direct impact on operational efficiency
Strategic competitive advantage
Internal team culture and user experience
Poor customer support
4.0%
n=8
Respondents for this option · Drivers
Internal team culture and user experience
Strategic competitive advantage
Financial sustainability and budget alignment
Technical stability and ecosystem compatibility
Poor ROI / no measurable results audience
Female decision-makers aged 35-44 are the primary group citing poor ROI as the main reason for discontinuing SaaS tools.
74 / 200 respondents37%
Women represent 51% of this segment, significantly higher than the 29% baseline.
The segment is heavily comprised of professionals earning between $100,000 and $149,000 annually.
Decision-makers aged 35-44 are more likely to prioritize measurable results when evaluating software retention.
Key differences
Potential risks
What are they worried about?
Operational disruption and productivity loss during transition
The biggest risk is that changing tools will cause significant disruption to our existing team workflows, leading to temporary productivity losses that often outweigh the potential ROI gains.
Difficulty in proving ROI and justifying software value
The primary risk is failing to establish a robust framework for data collection, which makes it impossible to prove that the software is actually delivering the intended value. Without concrete evidence to justify the expenditure, I cannot effectively defend the tool's continued presence in our budget.
Strategic misalignment and long-term operational rigidity
The biggest risk is falling into a sunk cost fallacy where we keep forcing a tool that no longer aligns with our long-term strategy just because we have already invested heavily in its integration.
Over-reliance on vendor support and loss of internal technical expertise
The biggest risk is that relying too heavily on vendor support creates a dangerous bottleneck where our internal team loses the technical autonomy needed to resolve critical data integration issues independently.
High switching costs and operational inefficiency
The biggest risk is that the high switching costs will trap us in a cycle of operational inefficiency while we struggle to migrate data without losing critical historical accuracy.
Sampling data