Published inMeta Analytics Blog·PinnedIntroducing Analytics at MetaThe Facebook company is now Meta, and we couldn’t be more excited about the vision Mark laid out in his keynote at Connect. While our company name may have changed, our company mission remains the same: to give people the power to build community and connect the world. …3 min read3 min read
Nov 1Get to know: Jenni Romanek, VP, Head of Instagram Analytics at MetaOur featured guest today is Jenni Romanek, VP, Head of Instagram Analytics at Meta. Q: Jenni, let’s start with the basics: Tell us what do you do at Meta? I’m proud and honored to support Instagram’s Data Engineering and Data Science teams. We build out the data infrastructure to understand…Data Science5 min readData Science5 min read
Oct 10Data engineering at Meta: High-Level Overview of the internal tech stackThis article provides an overview of the internal tech stack that we use on a daily basis as data engineers at Meta. The idea is to shed some light on the work we do, and how the tools and frameworks contribute to making our day-to-day data engineering work more efficient…Data Engineering12 min readData Engineering12 min read
May 10Creative Fatigue: How advertisers can improve performance by managing repeated exposuresIntroduction Creative fatigue can be a problem on our system, but it doesn’t need to be for you. Using data, we can turn what was a headwind to performance into a tailwind. …9 min read9 min read
Apr 3The future of the data engineer — Part IIntroduction In this post we explore the shifting focus of Data Engineering from Data Infrastructure and Data Integration to Accessible Analytics, in Meta and the industry at large. However the tools that we use are largely focused on the former two which presents a major challenge for the function. We will…10 min read10 min read
Feb 28Four Analytics Best Practices We Adopted — and Why You should TooData-driven decisions are everywhere. Examples include launching a new feature in your favorite app, ensuring that the products do not discriminate against certain groups, deploying a new AI algorithm, which will reduce harm, or helping small businesses connect to their customer. Even when an ML model shows you post A…8 min read8 min read
Jan 30Get to know: Elena Krasnoperova, VP of Monetization Analytics & OperationsOur featured guest today is Elena Krasnoperova, VP of Monetization Analytics & Operations at Meta. Q: Elena, let’s start with the basics… what’s your role at Meta? Elena: I lead Monetization Analytics & Operations, which includes Data Science and Data Engineering for the Monetization Product org, as well as several…8 min read8 min read
Dec 19, 2022Notifications: why less is more — how Facebook has been increasing both user satisfaction and app usage by sending only a few notificationsWe are members of the Facebook Notifications Data Science team at Meta. We ran surveys on how users felt about on-site notifications (notifications that show up in the Facebook app when you open the app and create a red badge that counts the number of notifications you have) and found…7 min read7 min read
Nov 22, 2022Measuring Our Progress In Tackling Violating ContentA core principle of Meta is to keep people safe on our platforms. Doing so encourages welcoming experiences and healthy communities. To that end, we have partnered closely with industry experts to develop guidelines for what is and is not allowed on our platforms. These are the Facebook Community Standards…7 min read7 min read
Oct 11, 2022Don’t be seduced by the allure: A guide for how (not) to use proxy metrics in experimentsThe problem of unscalable ground truth measurement — At Meta we care deeply about developing tools for valid, reliable, and representative measurement that enable teams to make better decisions and improve our products. While many things we’re interested in measuring can be observed directly based on logged events on Meta products (e.g., did a new design increase the…13 min read13 min read
