Thanks, Andrew. Good afternoon, and thank you for joining our third quarter 2024 earnings call. One year ago at our Investor Day, we shared our business vision and outlined the strategic initiatives that we believe will drive long-term sustainable growth. These initiatives include; one, growing users and deepening engagement per user; two, making ads relevant content, which allows us to increase ad load and provide a better user experience simultaneously; three, executing on our lower funnel revenue opportunity; and finally, driving demand through third-party partners, resellers, and international markets as additional levers to growth. We stated that these initiatives, working in tandem, would result in a mid to high-teens revenue growth CAGR and improving profitability, leading to adjusted EBITDA margins expanding to the low 30% range in the next three to five years. One year later, our operating results validate our continued execution against this strategy and commitment to delivering on the targets that we laid out at Investor Day. When we announced our three to five-year financial targets at Investor Day, we had just delivered Q2, 2023 revenue growth of 6%. Since then, on a trailing 12-month basis, as of Q3 2024, we have accelerated revenue growth to 18% and expanded adjusted EBITDA margins by more than 800 basis points year-over-year. Q3 was further evidence of progress against our strategy. As we grew revenue 18% year-over-year, we built out a full funnel ads platform with a particular focus on the lower funnel, which continues to be the fastest growing part of our business as advertisers are increasingly seeing Pinterest as a great place to connect with customers, demonstrating high commercial intent. We're also building a fundamentally better product, focusing on the aspects of Pinterest that make us unique to our audience, the ability to find inspiration, curate, and shop all in one place. We are pleased to report monthly active users of 537 million in Q3, another record high, reflecting 11 % year-over-year growth. Each quarter of record users provides further evidence that we found our best product market fit in years. Today, I'll focus my remarks on discussing themes that are driving progress against the strategy we laid out at Investor Day, starting with an overview about AI and its impact across our business, and moving on to a more specific quarterly update on users, engagement, and monetization. At Pinterest, AI is a core competency and has played a central role in how we have transformed our business over the last two plus years for both our users and advertisers. As we've leaned into this important technology in recent years, we've generated substantial returns from our investments that have fueled growth across our business. Effectively, all content served on Pinterest, including organic and ads, is powered by AI recommendation models that are trained by our unique first-party signal, and AI is only as good as the signal it acts upon. Our AI models generate over 400 million predictions per second, ranking what our users might engage with every time they come to the platform. These rankings leverage hundreds of billions of user actions like searches, saves, and clicks that come from over 0.5 billion logged-in users who are actively exploring, curating, and refining their tastes. This vast data allows us to create highly personalized and relevant recommendations, introducing audiences to new brands, products, and emerging trends. We have distinctive and explicit expressions of intent, like a user searching for and saving outfits to their vacation board. This provides us with real-time insight into what inspires our users and what they're looking to purchase next and provides a holistic understanding of user taste based on their past behavior and other users with similar taste. So, while other platforms may see what their users are looking to purchase today, we see what users are interested in purchasing days, weeks, and even months in advance. This is because the users who come to Pinterest are often undecided, but refine their tastes over multi-session commercial journeys before ultimately deciding what to do or buy. This signal creates a flywheel effect. As users engage with our recommended content through curation actions like saving to boards and creating collages or through clicking and buying behavior, we gather richer data. Incorporating this data into our recommendation algorithms enables us to deliver even more personalized and relevant content, and create a network of product associations unlike any other platform that allows us to effectively recommend content to users with similar tastes. Furthermore, in addition to utilizing our proprietary foundation models in areas where we are differentiated, such as computer vision, we are also leveraging our unique first-party signal to fine tune off-the-shelf large language models for a variety of use cases around organic and ad content serving. This approach has led to phenomenal results, notably a 300-basis point improvement in actionable engagement measured by clicks and saves compared to using an off-the-shelf model not fine-tuned with our data. Our unique user signals and deep understanding of individual interests and tastes also allow us to power monetization with highly relevant ads, making the ad useful content for users. We see this clearly across the platform, including on our search surface, where the average ad's relevance for top ad slots has more than doubled over the past two years. This means when a user searches for commercial queries like, Holiday Home Decor or Fall Boots, they see more ads that are relevant to their query that they can easily shop. Since our users come with commercial intent, these ads do not interrupt their user journey, rather, they enhance it. We also leveraged AI to significantly enhance our ads ranking and delivery systems over the past 18 months, leading to compounding efficiency gains for our advertisers across the platform. Additionally, in moments of high intent, our AI powered whole-page optimization enabled us to flex up ad load to serve more relevant ads to our users, allowing ad load and engagement to grow in tandem. All in all, AI is a core competency at Pinterest and at the center of the significant progress we're making across our technology stack, which is enhancing the experience for users and advertisers alike. With that, let's get into Q3 specifically and discuss our work to grow users and deepen engagement. In Q3, we continued to improve the user inspiration-to-action journey. As a visual search and discovery platform, users come to Pinterest to explore their interests, seek inspiration, and browse items they may like to purchase. They curate and save pins into boards and collages, refining their taste and facilitating future shopping. We've enhanced the actionability of our platform by integrating shopability into all major user experiences and leveraging our computer vision technology to make pins easily shoppable. Users are taking notice of this change, with 66% of weekly Gen