Growth Analytics Blog
Practical articles on measurement strategy, analytics infrastructure, and unit economics — written for teams building reliable growth systems.
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A decision-first audit framework for diagnosing GA4 and Google Ads conversion discrepancies before they distort bidding, attribution and budget allocation.
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A practical decision framework for estimating A/B test sample size, test duration and whether your traffic is high enough to make the experiment worth running.
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A practical framework for turning a revenue target into a defensible marketing budget using customer volume, CAC scenarios, unit economics and decision-ready data.
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A practical guide to CAC, LTV and payback that separates decision-grade unit economics from misleading averages—so growth leaders know when to scale, investigate or stop spend.
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A practical GA4 audit framework for finding tracking, attribution, revenue and data-quality problems — and prioritising the issues that can damage business decisions.
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Most businesses do not have a tracking problem because they lack data. They have a tracking problem because their data is fragmented, duplicated, blocked, delayed or disconnected from the systems where revenue is actually recorded. Google Analytics may show one number. Advertising platforms may show another. CRM data may not match either of them. Conversions…
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Practical coverage across analytics, tracking, and growth measurement.
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