Product Demos start much before the product has come into being. Startups would do well to follow Steve Blank’s customer development, in arriving at the definition of what the product would be. While most of the demos with prospective customers would be around the problem, the degree of pain, day-in-a-life of the end-user and the benefits of your proposed solution, a demo to prospective investors would be slightly different.
Judging from demos of 20+ companies from two accelerators I was part of, in the last week, it was clear that this is one area where startups/entrepreneurs have to do some work. As I was giving my inputs/feedback, I thought it would be useful if I created a template for a early-stage startup demo.
Notice that I am not saying it is “early-stage product demo”, with good reasons. As an early-stage startup, while you might have an incarnation of your product ready, it is bound to change.
Continue reading "Anatomy of an early-stage startup demo"
Over the past few years, the SaaS community has gained a solid understanding of SaaS financial metrics, as well as many of the operational principles required to achieve them. However, there has always been an obvious gap between what happens on the top line and what happens on the ground. It’s one thing to claim that a 50% reduction in churn will result in a 2X increase in recurring revenue, but it’s quite another thing to make it happen. Achieving that 50% reduction in churn is usually a tedious and unreliable process of trial and error. This is about to change. As the SaaS industry matures, we are witnessing the evolution of SaaS metrics beyond simple, historical financial measures toward sophisticated operational measures in the form of new SaaS customer success metrics and predictive analytics.
We are witnessing the evolution of SaaS metrics beyond simple, historical financial measures
toward sophisticated SaaS customer success metrics and predictive analytics.
This is the second post in a series inspired by my ongoing collaboration with Bluenose Analytics that explores the new Metrics-driven SaaS Business and its foundation of emerging best practices in customer success metrics. [Attention SaaS CFO’s and VP’s of Customer Success! Please see the exclusive invitation at the end of this post if you like this series and would like to explore more in person.] The first post discussed the unique qualities of SaaS that enable the Metrics-driven SaaS business to apply a more analytic approach to management than traditional licensed software. This second post drills down on the promise of customer success metrics to bring greater rigor to the processes of churn reduction, upselling and customer success management for increased recurring revenue and decreased recurring costs of service.
An Ocean of Customer Success Data
The promise of customer success metrics is immense. Unfortunately, so is the challenge of developing them. Continue reading "The Promise of SaaS Customer Success Metrics"
We are witnessing a dramatic change in the way SaaS businesses are managed. While SaaS financial metrics, such as recurring revenue, acquisition cost, service cost, churn, growth and lifetime value have dramatically increased our understanding of the economics of SaaS businesses, they have proven inadequate for managing them. As useful as they may be, SaaS financial metrics look at the past, not the future. They can tell you that you have a problem with churn, but they cannot tell you what you should do about it. Motivated by the need to better understand churn, many SaaS businesses have been independently exploring a new class of customer success metrics and have begun to embed them in SaaS customer success workflows with the hope of preventing churn before it occurs. We are witnessing the emergence of The Metrics-driven SaaS business.
Two weeks ago, I kicked off a new blog Continue reading "Bluenose Enables the Metrics-driven SaaS Business"