Back In Business: Startup Chronicles & Emilio's Bible Blunder ????

Back In Business: Startup Chronicles & Emilio's Bible Blunder ????

Two weeks have passed, but in startup years, it feels like an eternity! Apologies for the radio silence ??. Anyone who's been in the whirlwind of an early-stage startup can relate: where mere days can stretch into what feels like months.

In our last chat, I left you on a cliffhanger about our pivot (for those who missed it, catch up here ). Poised at a pivotal crossroads, we drew inspiration from two guiding lights: Michael Seibel's insightful video on MVPs and a literary gem, "The Four Steps to the Epiphany."

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Here's a little anecdote for you: Emilio, ever the eager beaver and bursting with Italian passion, stormed into a meeting, brandishing this book as if it were a divine revelation. In the middle of his fervent monologue, someone interrupted with, "Emilio, how long did it take you to plow through this behemoth?" His cheeky response? "Checked out a ChatGPT summary last night!" ??

Betting our company's fate on an AI-generated book review? Oh, Emilio, never changes.

But credit where it's due: Emilio's discovery, as usual, drove us to dive deep into this book over three grueling days. Outcome? It was very very insightful, providing the exact framework we were seeking.

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Our Refreshed Strategy ??

Though familiar with some of these concepts from our first product iteration, it was this newfound wisdom that instigated significant change:

  1. Quick Iterations: Engage early adopters*, showcase a prototype, then refine.
  2. Tool-First Approach: Start with no-code platforms, leveraging pre-existing utilities.
  3. Data-Driven Targeting: Focus on larger brands; they've got both the intricate challenges and the financial bandwidth.

We also established a rigorous validation process for our budding product ideas, drawing heavily from past experiences and this new framework. Here's our checklist:

Problem Validation:

  • Openness to discuss the issue: Y/N
  • Active attempts to solve it: Y/N
  • Existing solutions and tools: Potential competitors
  • Resource allocation: Insight for pricing

Solution Interest:

  • Openness to beta testing: Identifies early adopters

Payment Validation:

  • Willingness to pay at a set price and timeframe
  • Acceptance for trials

These shifts not only expedited our product rollout but also led to an unexpected win: clients willingly shelling out more for our preliminary products.

So, What's Brewing Now? ??

While our website, Aument.io , offers a glimpse into our current endeavors, the full story is reserved for this space.

At the heart of it, we're harnessing machine learning to craft bespoke promotions. This doesn't just enhance conversions; it trims down the average discount rate.

Picture this: You own a store. Over time, you recognize patterns in your top 10 customers' behaviors, particularly their response to discounts. With this data, you start offering the minimal necessary discount to each individual. This method not only maintains your conversion rates but can significantly bolster profits.

Well, we have an algorithm that makes that exact job for you but with all your clients.

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So, stay with us. There's more to share, and the most shocking chapters of our saga are yet to unfold.

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