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Ace your interviews with Exponent’s Data Science Interview Course: https://bit.ly/462VszD In this video, Tyler, a Senior Data Science Manager at Tinder, discusses alternatives to A/B testing for campaign effectiveness. Tyler recommends "difference in difference" (diff in diff) for causal inference, highlighting its ability to reduce bias and provide trustworthy results by comparing rate of change in outcomes. Chapters (Powered by ChapterMe) - 00:00 - Intro 00:48 - AB testing or randomization preferred, diff in comparison preferred 03:36 - Compare two groups with different rates of change Watch data science mock interviews from Exponent: How Many Ads?: • Instagram Data Science Question - How Many... Retry Transaction ft. Paypal Data Scientist: • Stripe Data Science Mock Interview: Retry ... Amazon Data Science Interview: Linear Regression: • Amazon Data Science Interview: Linear Regr... Snap Data Science Mock Interview: Improve Camera Speed: • Snap Data Science Mock Interview: Improve ... 👉 Subscribe to our channel: http://bit.ly/exponentyt 🕊️ Follow us on Twitter: http://bit.ly/exptweet 💙 Like us on Facebook for special discounts: http://bit.ly/exponentfb 📷 Check us out on Instagram: http://bit.ly/exponentig 📹 Watch us on TikTok: https://bit.ly/exponenttiktok ABOUT US: Did you enjoy this interview question and answer? Want to land your dream career? Exponent is an online community, course, and coaching platform to help you ace your upcoming interview. Exponent has helped people land their dream careers at companies like Google, Microsoft, Amazon, and high-growth startups. Exponent is currently licensed by Stanford, Yale, UW, and others. Our courses include interview lessons, questions, and complete answers with video walkthroughs. Access hours of real interview videos, where we analyze what went right or wrong, and our 1000+ community of expert coaches and industry professionals, to help you get your dream job and more!