SaaSRadar is McKinsey’s proprietary benchmarking tool for financial and operational metrics
With SaaSRadar, our proprietary benchmarking tool for financial and operational metrics, we compare you against relevant SaaS peers and make data-backed recommendations that clear your path for growth.
Clear view of growth diagnostics
We analyze both your revenue and cost data. We believe revenue-only assessments are not enough to accelerate your business
Comparison with relevant peers
We compare you against peer groups with similar characteristics
Personalized readout
Our consultants provide data-backed recommendations that will clear your path for growth
We analyze all engines in order to give you a roadmap to accelerate your SaaS business. With SaaSRadar you’re able to look at the metrics holistically: your acquisition engine, customer success engine, and cash engine.
SaaSRadar’s variety of charts and interfaces help you navigate through your data, compare different time periods, and easily understand what your data means.
Acquisition engine
We analyze your data to see how efficiently you acquire new customers.
Customer success engine
We tell you how well you retain and monetize existing customers.
Cash engine
We give you insights on how efficiently you operate the rest of the business.
Get Personalized Results. Your SaaSRadar report will compare you against relevant peers and help you prioritize the levers most relevant to achieve faster and more efficient growth.
Get a glimpse of SaaSRadar to see how you perform against a cohort of peers.
With SaaSRadar’s Enterprise edition, we compare your performance against other mid-size software enterprises based on percentage of revenue from subscription and offer data-backed recommendations to help drive future growth.
In order to accelerate your SaaS business, our experts will share custom insights grounded in data. Your personalized readouts and recommendations will help you understand how to grow your business and where to focus and invest.
Try the live SaaSRadar demo to see the core features and experiment with your own data.
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