Analytics Stages diagram illustrating

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Revenue: This stage is all about making money. You need to figure out how to turn your engaged users into paying customers. Whether through subscriptions, one-time purchases or upsells, the focus is on generating sustainable revenue.
Scale: Finally, once you’ve nailed down your revenue model, it’s time to scale. This means increasing your reach, entering new markets, or launching new products. The key here is to build on the data and insights you’ve gathered in the earlier stages to fuel growth.
Pro tip: In my experience, it’s important not to rush through these stages. Each one builds on the last, and if you skip a step, you might miss critical insights that could make or break your business. Take the time to dig into the data and really understand what’s driving your growth.

Example: Let’s say I’m scaling a new SaaS product using the Lean Analytics Stages framework. In the “Empathy” stage, I’d conduct interviews with potential users to pinpoint their biggest challenges, which would help shape the MVP.

I’d then test “Stickiness” by tracking how well users engage hungary whatsapp number database and return to the product. As we move into “Virality,” I’d encourage referrals to grow our customer base organically. Once “Revenue” is steady, I’d focus on “Scaling” by expanding into new markets and adding more features.

a marketing strategic framework with five stages: Empathy, Stickiness, Virality, Revenue, and Scale, each with descriptions.

6. The Hook Model
No, it has nothing to do with the previously mentioned Pirate Metrics, but it does complement the stickiness and virality discussed during Lean Analytics.