Category: marketing
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Power Analysis in Marketing: A Hands-On Introduction
Power Analysis in Marketing: A Hands-On Introduction Part 1: What is statistical power and how do we compute it? The post Power Analysis in Marketing: A Hands-On Introduction appeared first on Towards Data Science. Sam Arrington Go to original source
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Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them)
Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them) Are “quasi” geo-lift experiments the missing piece for your marketing science function? The post Why Are Marketers Turning To Quasi Geo-Lift Experiments? (And How to Plan Them) appeared first on Towards Data Science. Tomas Jancovic Go to original source
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A Practical Introduction to Google Analytics
A Practical Introduction to Google Analytics Learn the key concepts and reports of Google Analytics while practising with the platform The post A Practical Introduction to Google Analytics appeared first on Towards Data Science. Eugenia Anello Go to original source
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How I Built Business-Automating Workflows with AI Agents
How I Built Business-Automating Workflows with AI Agents AI agents and automation are no longer just a trend — they are transforming how companies operate. In a previous article, I shared several case studies of AI Agents supporting the sustainability roadmaps of small, medium and large companies. AI Agents for Sustainability — (Image by Samir Saci) This is part of a…
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STAT+: Gilead will pay $202 million to settle charges of paying kickbacks to docs for boosting HIV drug sales
STAT+: Gilead will pay $202 million to settle charges of paying kickbacks to docs for boosting HIV drug sales Gilead Sciences agreed to pay $202 million to settle allegations of paying kickbacks to doctors in exchange for prescribing several of its HIV medicines, the latest example of a controversial practice that has come back to…
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Experiments Illustrated: Can $1 Change Behavior More Than $100?
Experiments Illustrated: Can $1 Change Behavior More Than $100? I currently lead a small data team at a small tech company. With everything small, we have a lot of autonomy over what, when, and how we run experiments. In this series, I’m opening the vault from our years of experimenting, each story highlighting a key…
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Experiments Illustrated: How Random Assignment Saved Us $1M in Marketing Spend
Experiments Illustrated: How Random Assignment Saved Us $1M in Marketing Spend Running cool experiments is easily one of my favorite parts of working in data science. Most experiments don’t deliver big wins, so the winners make for fun stories. We’ve had a few of these at IntelyCare, and I’m sharing each story in a way…
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Optimising Budgets With Marketing Mix Models In Python
Optimising Budgets With Marketing Mix Models In Python Part 3 of a hands-on guide to help you master MMM in pymc Photo by Towfiqu barbhuiya on Unsplash What is this series about? Welcome to part 3 of my series on marketing mix modelling (MMM), a hands-on guide to help you master MMM. Throughout this series, we’ll cover key…
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A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important
A Story of Long Tails: Why Uncertainty in Marketing Mix Modelling is Important “Details matter. It’s worth waiting to get it right.” — Steve Jobs Continue reading on Towards Data Science » Javier Marin Go to original source