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Analytics

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"Analytics" is one of the most overloaded words in SaaS. To a data engineer it means a normalized warehouse with strict schemas. To a marketer it means PostHog dashboards and funnel charts. To an indie founder it should mean something tighter: knowing which lever to pull this week and which number tells you whether the pull worked. The articles in this category come at analytics from that last angle — the founder making decisions, not the analyst writing reports nobody reads.

Three mistakes recur. First: trusting Stripe's default numbers without checking how they're constructed (Stripe's MRR rounding alone has tripped up dozens of founders we've spoken with). Second: pulling raw event data and never building the second layer on top — the connector between "users did X" and "revenue moved by Y." Third: dashboard sprawl. Setting up PostHog, Mixpanel, GA4, and Looker Studio "to cover everything" virtually guarantees no one looks at any of them after week three because each tool tells a slightly different story.

For the practical foundation, start with the Stripe analytics guide — it covers what Stripe gives you natively and what you have to build on top. The cohort analysis guide for SaaS founders is the one visualization that separates real growth from churn-masked growth and is worth investing in early. And for a healthy reality check, vanity metrics: the data that feels good and lies lists the metrics indie founders most often mistake for signal.

The recurring theme across this category: choose fewer numbers, look at them more often, and trust the source. If you can't explain in one sentence how a metric is calculated and why it matters this week, it's not your metric yet. Analytics at indie scale is closer to a daily weather check than a quarterly board deck — and the articles here are written with that cadence in mind, not the other way around.

"Analytics" is one of the most overloaded words in SaaS. To a data engineer it means a normalized warehouse with strict schemas. To a marketer it means PostHog dashboards and funnel charts. To an indie founder it should mean something tighter: knowing which lever to pull this week and which number tells you whether the pull worked. The articles in this category come at analytics from that last angle — the founder making decisions, not the analyst writing reports nobody reads.

Three mistakes recur. First: trusting Stripe's default numbers without checking how they're constructed (Stripe's MRR rounding alone has tripped up dozens of founders we've spoken with). Second: pulling raw event data and never building the second layer on top — the connector between "users did X" and "revenue moved by Y." Third: dashboard sprawl. Setting up PostHog, Mixpanel, GA4, and Looker Studio "to cover everything" virtually guarantees no one looks at any of them after week three because each tool tells a slightly different story.

For the practical foundation, start with the Stripe analytics guide — it covers what Stripe gives you natively and what you have to build on top. The cohort analysis guide for SaaS founders is the one visualization that separates real growth from churn-masked growth and is worth investing in early. And for a healthy reality check, vanity metrics: the data that feels good and lies lists the metrics indie founders most often mistake for signal.

The recurring theme across this category: choose fewer numbers, look at them more often, and trust the source. If you can't explain in one sentence how a metric is calculated and why it matters this week, it's not your metric yet. Analytics at indie scale is closer to a daily weather check than a quarterly board deck — and the articles here are written with that cadence in mind, not the other way around.

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