Sample size 300
Completed / Failed 300 / 0
Which pricing model do you prefer for a white-label digital credential solution?
Tiered subscription model
63.3%
n=190
Respondents for this option · Drivers
Predictability of monthly or annual costs
Ease of procurement and budget approval
Alignment with our variable usage patterns
Scalability as our credential volume grows
Lower total cost of ownership
Pay-per-credential model
31.7%
n=95
Respondents for this option · Drivers
Alignment with our variable usage patterns
Scalability as our credential volume grows
Predictability of monthly or annual costs
Lower total cost of ownership
Ease of procurement and budget approval
Neither model is suitable for our current needs
5.0%
n=15
Respondents for this option · Drivers
Lower total cost of ownership
Scalability as our credential volume grows
Predictability of monthly or annual costs
Tiered subscription model audience
B2B SaaS decision-makers in the United States show a strong preference for tiered subscription pricing for digital credential solutions.
190 / 300 respondents63.3%
The segment is most heavily represented by professionals aged 45 to 54.
Respondents in this group are more likely to earn between 150k and 199k annually compared to the baseline.
There is a notable concentration of these decision-makers located in the Northeast region.
Key differences
Potential risks
What are they worried about?
Budget instability and forecasting difficulty due to usage volatility
The primary risk is the potential for unpredictable cost spikes during high-demand periods, which makes it difficult to maintain a stable and predictable budget.
Financial inefficiency and waste from unused capacity
The primary risk is that our credential volume might fluctuate, leading to inefficient spending if we are locked into a tiered structure that exceeds our actual usage needs.
Difficulty in forecasting usage and justifying ROI to stakeholders
The primary challenge is the inherent difficulty in accurately forecasting credential usage volumes, which creates significant budget uncertainty and administrative friction when trying to align costs with actual demand.
Operational rigidity and lack of contract scalability
The primary risk is the lack of flexibility to adjust terms as our business needs change, which could lock us into a model that doesn't scale well if our usage patterns shift unexpectedly.
Sampling data