Thanks, Andrew. Good afternoon, and thank you for joining our fourth quarter and full year 2024 earnings call. My remarks today will cover the progress we made this past year and preview some of our key initiatives in 2025 to drive continued execution of our long-term goals. 2024 was a transformative year for Pinterest. We reached record high global users, surpassing 550 million MAUs globally, and 100 million in UCAN while more than doubling our full-year revenue growth rate from 2023. At the same time, we delivered over $1 billion in adjusted EBITDA, a roughly 50% increase as we continue to drive profitable growth. Our 2024 results are a testament that our long-term strategy is working. We've transformed our user experience to focus on why people come to Pinterest, investing in actionability, relevance, and curation, all about distinguishing ourselves as a positive place online. The user journey from inspiration to action maps directly to our advertiser funnel, allowing advertisers to reach users at every stage of their purchase journey. And in today's advertising environment, proving performance has never been more important. As such, we've spent the last two and a half years building a suite of lower funnel tools that captures our users' inherent commercial intent. Our efforts are paying off. In Q4, we achieved our first $1 billion revenue quarter as we grew revenue 18% and drove a record number of clicks during the critical holiday season. As we look forward to 2025, we intend to double down on the multiyear initiatives that underpin our strategy. We continue to leverage AI and our unique first-party signal to drive a more personalized and relevant experience for our users. At the same time, we'll invest in our curation experiences and the shoppability of our platform to allow our users to move more seamlessly from inspiration to action. Finally, we'll continue to innovate and improve our lower funnel tools, allowing advertisers to successfully reach customers who are demonstrating high commercial intent. Now, like last quarter, I'll start with an overview of how we're utilizing AI to drive results across our business. AI is deeply integrated into nearly every aspect of our user experience and advertising business. But AI is only as good as the signal it acts upon. Into Pinterest? We have very unique signal. We have hundreds of billions of first-party user actions on our platform, including acts of human curation, giving us unique insight into each individual pin's relationship not just to the user who saved it, but also to the ideas and aesthetic reflected by the content of the board it is saved in and the search queries related to it. These associations between pins, searches, boards, products, and users make up our taste graph, which is the foundation of our AI recommendation engines and is used to amplify the quality of our computer vision and discovery experiences. In practice, our taste graph is an essential part of the AI that determines the content we show our users and why users find our recommendations so highly relevant. As our platform has grown, as we've incorporated more signals from user actions, our taste graph has become more dense with more connections and associations between pins, searches, boards, products, and users. In fact, our taste graph contains many billions of connections and has grown by 75% over the past two years, bridging together user activity, content, and products across the platform. This larger taste graph enhances our ability to understand how images and products are related and surface exceptionally relevant content. For example, if we know a user is searching for and saving to a board labeled Super Bowl outfits, we recommend ideas based on the activity of all the other users on Pinterest who have similar taste in fashion and are interacting with game day apparel. And since we know this user is likely hosting or attending a Super Bowl party, we're able to help users laterally explore their taste to find other content or use cases that might be interesting to them, like game day decor or recipes that are personalized and relevant to them based on what we know them from our taste graph. In doing so, we can drive deeper engagement and encourage revisitation, thereby strengthening our flywheel. Looking back at 2024, I want to highlight a few key AI-based initiatives, many of which have been informed by our taste graph, that have led to positive outcomes across the business. We've made a lot of progress incorporating more context on user history into our recommendation algorithms. In 2024, we leveraged cutting-edge machine learning techniques and increased the context window on user actions, such as saves and clicks, that fed into our AI-based models by over thirty fold. More context on users and more powerful machine learning models mean a deeper understanding of the content they might enjoy. As a result, we saw approximately 250 basis points of lift in saves and a 150 basis point lift in outbound clicks across the platform. Importantly, through our team's deep technical expertise, our engineering teams were able to achieve this thirtyfold increase in signal ingestion at only a fractional increase in infrastructure spend. On the monetization side, our AI-powered whole page optimization product enabled us to flex up relevant ad load to users in moments of high commercial intent. This means we can show users in the lower funnel phase of their shopping journey more ads to help them take action and convert while keeping ad load lighter when users are in an upper funnel discovery phase. We've also made investments to keep the relevance bar high for our ads. In fact, relevance on our search surface has more than doubled for top ad slots over the past two years. Since our users come with commercial intent, these ads are additive to the user journey. We're also utilizing AI internally to promote employee productivity across our engineering team. Coding assistance helps our developers accelerate code production and improve code quality. The majority of our engineering team uses coding assistance, and 15% of our current code base is generated through AI. Lastly, do remiss not to point out performance plot, which I'll talk about in more depth later on in my remarks. Performance Plus is a key advancement in our lower funnel ad product suite that utilizes AI to bring greater performance and better efficiency to our advertisers while automating much of the campaign setup process. With that, I'd also like to discuss some of the user and engagement wins from Q4 and 2024. Throughout 2024, we've focused heavily on improving the user experience and the reasons users came to Pinterest in the first place. This meant investing in a better curation experience through boards and collages and driving further actionability across our core surfaces. In Q4, we continued to deepen our efforts to show users how they could utilize Pinterest for shopping. The holiday shopping season kicked off with a bang, and we saw users with high commercial intent lean into Pinterest to find and shop the best ideas and products for their loved ones. Our holiday shopping efforts, which included gift guides and promotions, drove deeper, more actionable sessions and helped more users find and buy the perfect gift on Pinterest. For example, we created gift guides spanning 27 categories from fashion and beauty to travel and gaming, partnering with celebrities, creators, and brands to showcase nearly 40,000 of the best products from our catalog, a mix of both expertly curated and Pinterest-recommended content. We then distributed these guides through personalized recommendation modules showcasing the guides most relevant to a user's interest, past activity, and search queries. We saw a gift guide resonate with users, as click-through rates from products recommended through gift guides were over 40% higher than the average Product PIN. I'm pleased that our efforts to improve the actionability of our platform are paying off in the form of another quarter of record users. At the same time, we reported our highest ever weekly active to monthly active user ratio of 62% in 2024. This means users are coming back more frequently as we continue to drive strong product market fit and performance for advertisers. In fact, in Q4, we grew clicks to advertisers over 90%, even after lapping the initial launch of direct links that began in Q4 of last year, which is clear evidence that showing more relevant and shoppable content aligns with both the needs of our users and advertisers. Next, I want to mention one of my favorite reports that we share annually, Pinterest Predicts. Using consumer insights and predictive analytics based on user behavior like clicks, saves, and searches that happen on Pinterest every day, we've identified the 20 emerging Pinterest trends that we believe will hit the mainstream in 2025. And over the last five years, 80% of the predictions we've made have come true. These trends reveal what people will shop, try, and buy next across all verticals. For example, our trend cherry coated predicts that Gen