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LCV is for client unit economics, True Profitability is for product unit economics and another approach to drive value in your SaaS business.
Living in a SaaS world, we are often focused on LCV (Lifetime Customer Value) for a critical unit measurement of profitability. But, it’s also important to understand your product unit economics. True Profitability, a term and methodology developed by Pedro Ferro and described in his book by the same name, determines the specific unit economic… Continue reading
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Can I pay you to stop using TikTok? Or, will you pay to stop your whole friend group from using TikTok?
Is social media a product status trap? What is the price to stop using TikTok? This week is a little turn away from my typical analytics discussion. We are going to talk about product economics and how consumers get value out of social media. While reading, you can ask yourself questions about the products in… Continue reading
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Managing a Loan Portfolio with Great Analytical Tools
Partnering with Vector ML Analytics, my team transformed our consumer loan portfolio’s financial reporting, emphasizing advanced analytics for precision and efficiency. This collaboration covered data integration and deployment, improving reporting through automation, resulting in speed, accuracy, cost savings, and better decision-making. Our enhanced reporting capabilities now include detailed asset and liability insights, weekly cash flow… Continue reading
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Recurring revenue modeling can be tricky, using cancellation curves can improve precision and results
In a recent post on SaaS financial modeling, I covered some of the main drivers that play a role in the construction of financial forecasts for SaaS and related business models. One of the most important aspects of such financial forecasts is the build out of contracted revenues. In general contracted revenues can be quite… Continue reading
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Crypto futures trading can produce serious returns with predictive algorithms
Predictive models underpin many trading systems. In this post, I discuss the application to the emerging world of crypto futures. Tradery LabsI recently had the pleasure of doing some advisory and coaching work with a startup called Tradery Labs. Tradery Labs is bringing futuristic predictive-modeling techniques into a highly honed system that will democratize the… Continue reading
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Key considerations for SaaS (or any recurring revenue) financial models
Build your components so the are easily expandable in time and detail In SaaS, decoding revenue dynamics is pivotal for pushing the business forward. Let’s talk about the elements of financial modeling tailored for SaaS companies: 1. Revenue Insights: MRR (Monthly Recurring Revenue): This quantifies the predictable monthly revenue, offering immediate insights into short-term revenue… Continue reading
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An AI Crystal Ball? How We Predict Future Outcomes Using a Temporal Fusion Transformer Model
Our data science and analytics teams handle and apply lots of data for insightful decision-making. Last year, I presented the data science team with a challenge: use historical data to predict a key business driver for each of the next 8 periods. We wanted to have a data-driven preview of what we might see in… Continue reading
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Unlocking Value Creation: The Power of Lifetime Customer Value in Operational Execution
You might see it in various places as CLV (Customer Lifetime Value) or LTV (Lifetime Value). Lifetime Customer Value, or LCV, is what I call this metric. Fairly interchangeable in my experience, people who use these metrics regularly will know what you mean when you refer to any one of them. LCV’s compact measurement of… Continue reading
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Unveiling the Enigma: Contrasting Consumer Cash Reserves with Escalating Credit Card Delinquencies
A recent analysis sheds light on the intriguing interplay between burgeoning consumer cash reserves and the surprising surge in credit card delinquencies. Despite the Federal Reserve’s reports revealing a remarkable 2.5x increase in cash holdings for the bottom 50% of households, a deeper dive into Transunion’s credit data exposes an unexpected trend in delinquency rates… Continue reading
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Elevating Data Science with Operations Research Expertise
Introduction Who’s on a quest to develop advanced data science capabilities? One of my analytics team’s strategic expansion brought together diverse talents in statistics, applied math, and engineering. This case study explores the integration of operations research, fostering collaboration and knowledge diversity within analytics. Objective Our primary goal was to blend diverse skill sets, creating… Continue reading
