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Most founders waste years trying to scale before validating ☠️

Smart startups use pre-trained AI to scale—no massive investments needed

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Hi -

Over the years, I’ve watched and learned from so many tech founders who ran themselves into the ground trying to grow their startups, only to find out when it was already too late that they’d invested in the wrong things.

What most business owners don’t realize is that go-to-market and scaling are two different wheelhouses. Investing in scaling measures before you’ve validated is a recipe for disaster.

The simple truth is that, for early-stage startups, there are really only a few foundational steps that will make or break your business - but, unfortunately, most first-time founders end up missing the boat and focusing on the wrong things. 

If you’re really serious in growing your business with AI and data, there’s one thing you MUST do right now.

That thing: Prioritize data-driven decision-making

Most businesses fail because they rely on guesswork, intuition, or old ways of doing things. 

The basis for making decisions that consistently drive growth comes down to one simple thing: data-informed decision making.

I’ve helped thousands of businesses transform their companies using the data-informed approaches and application areas that I share in The Data & AI Imperative

The #1 takeaway from all of their journeys is this:

You need to build a data-driven growth culture & the STAR Framework™ is the basis to getting there

The STAR Framework™, that I detail within The Data & AI Imperative, is built to help leaders like you develop actionable data and AI strategies by focusing on these four pillars:

  1. Survey - Audit your data landscape to identify existing strengths and gaps. Start by assessing your current data assets, team skills, and technological infrastructure to understand your baseline.

  1. Target - Narrow down to the highest impact use case (ie; the “Winning Use Case”) that aligns with your growth goals. For example, focusing on AI-driven approaches for customer retention or upsell strategies.

  1. Assess Resources - Make sure you have the necessary resources—skills, data, and tools. Be clear about which stages you can utilize a pre-trained AI model to fill your skill gaps without huge investments.

  1. Roadmap Implementation - Design step-by-step implementation, breaking down the actions needed to achieve each stage, along with success metrics to track or measure your impact.

This, my friend, is how you leverage AI and data to strategically support your growth ambitions, without paying the full-time CDO, CIO, or CMO price tag.

And that’s exactly what I cover in The Data & AI Imperative

It’s a complete roadmap to help you make better and smarter decisions using the power of AI and data.

The great news: you're under no obligation to an army of data scientists or expensive tools. This approach is tool-agnostic and designed for businesses of any stage.

It's time to stop guessing and start scaling. Pre-order The Data & AI Imperative today and lock in the pre-order price before it goes up!

Pre-order The Data & AI Imperative at the lowest price possible before it’s too late: Amazon Pre-Order Link

To your success,

Lillian Pierson & Team

Fractional CMO & Founder, Data-Mania

P.S. Imagine where your business could be a year from now with the right data guiding your decisions. Don’t let this opportunity pass you by — pre-order today.

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