Thanks, Arjun. I'll take the question. As we said at Investor Day, there are five categories of search; Marketing, Support, Developer, e-commerce, and Workplace. Workplace search is internal. That's looking up an employee or looking within assistance. Developer enables developers to add search to their apps. If you're using a popular app or not a popular app and you're developer and you're building one, you might want to add a search function or feature to your own product. e-commerce is self-explanatory, that's looking up products to buy. And then Support is looking up when you're a customer, looking up answers and that's sold generally to a customer support or support solution type of company, head of success, customer success. And when we compete, our vision is to compete against every company that has - well, let me actually take a step back. We said this at the Investor Day too. All the key - all the searches that you use today are all based off a technology called Lucene. Unless you are using Google, which is not participating in the enterprise like this or you are using Yext. With the open source platforms like, for example, Solr, you are based off a technology called Lucene, which is an index-based keyword search. So we typically disrupt any search box that returns blue links with our natural language AI-powered answer search and we can understand questions, we can deliver multi - a universal search result with multiple components from a federated architecture that comes back. If you think about when you run a Google search for something like McDonald's, you'll see a bunch of different things they give you back. They give you rich snippets, they give you People Also Ask, they give you maps, they give you knowledge cards, these - every time you want to search on Google, it doesn't run one algorithm, it runs multiple algorithms. And so who we fundamentally are competing against is in old way, it's a keyword search, which is based on Lucene which powers open source things like Solr, open source things like Elastic, and the Yext is a better and a faster and cheaper solution. We're able to stand up off the knowledge graph, a supports box or marketing support search or marketing search box really easily with low code. You can easily push facts into your knowledge graph. You can now look unstructured text, I've talked about our Extractive Q&A algorithm and then you get a universal search result that has different components back to it. And that as compared to what was there usually before, which is a keyword-based search is kind of night and day, and it's night and day in terms of CTR click rates transactions and call deflections and customer satisfaction. So we are competing with keyword search. Everywhere in the world, you see a box that returns you blue links, that's where an AI-powered search firm Yext opt to replace it.