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Stop Misleading A/B Tests: Master Sample Size Assumptions for Reliable Results
Sample size calculators are only as reliable as the assumptions behind them. I show how I validate baseline rates, set a meaningful minimum detectable effect (MDE),…
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Unlock Confident Decisions with Bayesian Statistics: Smarter A/B Tests from Small Samples
When experiments stall due to low traffic, I turn to Bayesian statistics to convert sparse data into decision-ready insights. Instead of opaque p-values, I communicate intuitive…
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Scaling Enterprise Sales from $0 to $3.5B: CRO Lessons, MEDDIC Mastery, and GTM Truths
Enterprise scale isn’t magic; it’s disciplined execution. Drawing lessons from Snowflake’s rise, I break down how the CRO role evolves from $10M to $1B+, why The…
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How to Build an AI-Native Go-to-Market Operating System
A practical blueprint for redesigning revenue workflows around AI agents, human handoffs, rigorous evals, shared CRM state, and clear ownership.
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