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The 80 20 Rule Boosting Profits with AI Insights
The 80 20 Rule Boosting Profits with AI Insights

In this episode of Beach Bytes, Andrew Anderson uncovers a business treasure that can dramatically improve your bottom line — identifying and focusing on the 20% of clients who generate 80% of your revenue. 🌊

After stumbling on the largest piece of brain coral he’s ever seen, Andrew draws a parallel to the unexpected value hiding in your client base. Using AI tools and strategic analysis, you can pinpoint which clients bring you the most profit with the least hassle — and which ones drain your time, energy, and resources.

By doubling down on your top-tier clients and letting go of the ones that don’t fit, you free up capacity to attract even more of the right customers. Andrew explains how even a modest shift can increase your profitability by 50% or more.

Focus on what truly works, optimize with AI, and watch your business thrive.

For more actionable insights and AI-powered strategies, visit 👉 iQMarketers.com

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Andrew Anderson

Andrew Easy Anderson is a pioneering voice in the evolution of search technology, specializing in Answer Engine Optimization (AEO) and AI-powered search strategies. With over a decade of experience in digital marketing and SEO, Andrew has been at the forefront of helping businesses adapt to the rapidly changing landscape of how people find information online.

As AI assistants like ChatGPT, Google's AI Overviews, and other conversational search tools reshape the way users interact with information, Andrew has dedicated his expertise to understanding and mastering these new paradigms. His work focuses on ensuring that businesses remain visible and authoritative in an era where traditional search engine results are increasingly supplemented—or even replaced—by AI-generated answers.

Through his writing and consulting, Andrew makes complex technical concepts accessible, helping businesses of all sizes implement strategies that ensure their content is not just found, but understood and trusted by both users and AI systems alike.