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5 Steps To Strategy Tuning Through Machine Learning

Startup Professionals Musings

Way back in 2002, Jeff Bezos at Amazon issued an ultimatum to completely institute internal APIs within the company, and later to their millions of suppliers. Intelligent real-time software decisions are quickly replacing after-the-fact analytics. Apply machine-learning for real-time software decisions.

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It’s Time to Play Moneyball: The Investment Readiness Level

Steve Blank

Investors sitting through Incubator or Accelerator demo days have three metrics to judge fledgling startups – 1) great looking product demos, 2) compelling PowerPoint slides, and 3) a world-class team. And we can offer investors metrics to play Moneyball – with the Investment Readiness Level. We think we can do better. Here’s how.

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Marketing and Growth Lessons for Uncertain Times

ConversionXL

In 2002, McKinsey published a study of 1,000 U.S. When it comes to identifying what has changed, Labay continues: I’d think the first stop is analytics—who dropped off, what channels, who remained, etc., What the big studies have shown. companies covering the period 1982–99, which included a recession during 1990–91.

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7 Good Entrepreneurial Habits That Turn Bad

Startup Professionals Musings

For example, there once was a social network called Friendster , often credited with starting the social networking boom way back in 2002. Now it’s time to make decisions from analytics, customer reviews, and financial results, rather than letting your passion and perseverance convince you that customers will soon see it your way.

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Stitch Fix: Reinventing Retail Through Personalization

abovethecrowd.com

While I am extremely proud of that team’s accomplishments (the parent company recombined Nordstrom.com in 2002 and the direct division now has revenue of over $1.25B and is the fastest growing unit inside of Nordstrom ), I built a healthy respect for the complexities and difficulties of managing women’s fashion inventory.

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Survival of the Fittest Variation: Evolutionary Algorithms in Optimization

ConversionXL

It shows the increase in frequency over time of genotype A, which has a 1% greater relative fitness than the genotype B: It’s important to note that the genes that make up the algorithms, and the fitness metric are created by the practitioner. Rather, they have discrete goals and ingredients. And, spoiler alert, it actually does.

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How to Build Robust User Personas in Under a Month

ConversionXL

running regression analyses against success metrics), but we knew what our “ideal customer profile” looked like for the most part, and we knew which customer profiles were worth the most money to us generally. People will write “Google Analytics” where others will write “GA” and there will be a lot of discrepancies like this.