Mastering Revenue Operations

Mastering Revenue Operations

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Mastering Revenue Operations
Mastering Revenue Operations
Streamlining Revenue Analytics with SQL: Time Series Techniques
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Streamlining Revenue Analytics with SQL: Time Series Techniques

Matt McDonagh's avatar
Matt McDonagh
Mar 19, 2024
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Mastering Revenue Operations
Mastering Revenue Operations
Streamlining Revenue Analytics with SQL: Time Series Techniques
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Information has some value, but insight is invaluable.

You refine raw data into insights when you analyze or transform it.

In RevOps raw data is everywhere. We're all about those acronyms: MRR, churn, CLV...the list goes on. But here's the thing: it's not just the raw value of those metrics that matters.

It's how they change over time.

Think of them like a heartbeat. One reading tells you if the patient's alive. A whole chart tells you if their health is improving, or about to take a nosedive.

Understanding these trends is more than a nice-to-have; it's make-or-break for sustainable growth. Is our MRR climbing steadily, showing a healthy expansion and customer acquisition rate? Are we bleeding customers, a red flag that our churn rate needs serious attention? And what does the long-term trajectory of customer lifetime value (CLV) say about our product's stickiness and the profitability of our sales efforts?

You could wrangle some of this into an unholy mess of a spreadsheet…

But if you've …

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