Remove A/B Testing Remove Implementation Remove User Experience
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How to design a referral program

Andrew Chen

It seems as though every consumer app has implemented some form of a referral program, though I argue it really kicked off in ~2008, which is when Dropbox’s innovative referral program was rolled out. We see the same rough patterns in referral programs that are implemented across the industry. Why focus on new users?

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From Clicks To Converts; Maximise Your Digital Advertisement Outputs In 2020

Vantage Circle

An effective and thought out process should be implemented to foster your online presence and ultimately gain prospect customer to see your conversion rate go through the roof. While the prospects of digital advertisement seem drooling, we need to wary of our methodology while implementing the same. Leverage Facebook. Final Touches.

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A/B Testing and the Benefits of an Experimentation Culture

Harvard Business Review

But the best data-driven companies don’t just passively store and analyze data, they actively generate actionable data by running experiments. The secret to getting value from data is testing, and if you’re looking to grow your online business, implementing well-executed, consistent A/B testing is a necessity.

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Instead of Optimizing Processes, Reimagine Them as Platforms

Harvard Business Review

Process optimization can transform user experience. Challenging people to visualize processes as platforms completely changes how trade-offs between innovation, optimization, and user experience are debated and discussed. Platforms, not processes, make innovations faster and easier to implement.

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Every Company Needs a Growth Manager

Harvard Business Review

These include everything from analytics tools like Adobe Analytics and Google Analytics, to A/B testing tools like Oracle’s Maxymiser and Optimizely. Further, the Growth Manager must implement a framework for prioritizing growth-specific product improvements, and organizing the testing rhythm.

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The Kinds of Data Scientist

Harvard Business Review

These data scientists design, define, and implement metrics, run and interpret experiments, create dashboards, draw causal inferences, and generate recommendations from modeling and measurement. The elusive full stack data scientists do exist, though they are hard to find. Who to hire.

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The red flags and magic numbers that investors look for in your startup’s metrics – 80 slide deck included!

Andrew Chen

Of course, as an investor you can’t run A/B tests or analyze results directly, but you can form hypotheses, ideate, and apply the same type of thinking. Thinking about new user experience, engagement metrics, and other important concepts. Nevertheless, the best practice was implemented and shipped.

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