Why data-driven product decisions are hard (sometimes impossible)
Visit LinkExplores the concept of customer lifetime value (LTV), including how to calculate it, the importance of retention and margin in driving LTV, and using LTV as a key metric for making data-driven business decisions.
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TMB 5/52: Powerful Ideas > Perfect Measures
This article argues that powerful ideas, even if imperfectly measured, are more useful for business decision-making than perfect measures for less impactful ideas. It discusses the importance of focusing on high-leverage metrics and acknowledging the limitations of data, rather than getting overly bogged down in pursuit of perfect measurement.
TBM 8/52: The Data-Informed Product Cycle
This article discusses the data-informed product cycle, which involves translating high-level strategy into models, testing hypotheses, and iterating based on data. It covers key topics like freemium, free trials, usage-based pricing, activation metrics, and product-qualified leads (PQLs).
North Star Framework Template & Activity Library
Establishing the core foundations for a successful go-to-market strategy, including defining the ideal customer profile, target market segments, and aligning the product's value proposition with the right sales and distribution channels.