Name: What’s New in Apollo: March 2026
Uploaded: 2026-03-04T19:30:31.213Z
Duration: 44 min 28 s
Description: What’s New in Apollo: March 2026

Transcript for "What’s New in Apollo: March 2026": Hello, everybody. How are we doing? Happy Wednesday. How's everybody? I see some folks posting in the chat. Let's get this chat going on. Yeah. Definitely post where you're from. I saw Egypt, Chile, Toronto, San Francisco. That's where I'm from. I'm in the bay today. Happy Wednesday from The Bay. Los Angeles, Vegas, The UK. Okay. Brazil in the house. This is what I'm talking about. This is global. We've got a global reach. Fantastic. What about, like, job titles? What's your role here? Are we SDRs? Are we AEs, founders, marketing? Okay. We got some growth folks, fractional CROs, CTOs, VPs of sales. Fantastic. Okay. Last little warm up question. How long have you been using Apollo? We talking one month? We talking six months? We talk in one year. What do we got? Starting today. Zero days. A little over a year, two years. Okay. Awesome. Fantastic. Welcome. Welcome, everybody. This is our what's new in Apollo webinar. Why did we make these? Well, we know that we ship a lot of great products, but sometimes it's hard to understand how they kinda fit within our greater solution or even to stay up to date on everything that was released and how it might impact you in your role. So this session is all about slowing down for a second and giving you a heads up on everything that was recently released. So let's talk about, the plan for today a little bit more. So what we will do is cover everything that we've been building while y'all have been busy prospecting. So we'll cover the biggest launches from the past quarter. We're gonna keep it high level. We're not gonna be, like, going feature by feature, but we will give a nice recap and give you some practical takeaways so you can start implementing them and possibly start using many of these features today. Before we get into the amazing content, I do just wanna go over some housekeeping items. So first things first, yes, the session is being recorded. You will receive the recording via email in about two business days, so you don't need to worry about capturing everything live. Second of all, please use the q and a tab for your questions rather than chat. That helps us, track them and address those questions more efficiently and make sure that nothing gets missed. So, again, please use the q and a for questions and not chat. The other thing that I want to call out about housekeeping housekeeping is be on your best behavior, everybody. Okay? This is a safe space. So we definitely don't want anybody to, like, cross the line or say anything crazy in the chat or the q and a. We are able to remove you and delete you. That's not the goal. We want this to be productive in a high quality space. But please be on your best behavior. Jake, come on. Best behavior can be fun. The other thing that I wanna call out is, like, we consider, like, networking and posting your LinkedIn a little bit like spam. That's not what these sessions are for. If you want to network, we would recommend that you join our community. Scott, how do we join your community? Great question, everybody. This is how you join our community. So I'll pause here for a second. Definitely take a snapshot of that QR code, or you could just go to apollo.io/community. But join the ever growing Apollo community, and that's a great place to network. Try not to do it in the chat here. Okay. Sweet. So we're moving along. We're moving along. I've got one more thing I wanna call out, and I'm putting on my little legal hat right here. So this is our safe harbor reminder. Okay? We may discuss road map items and some future enhancements. These are subject to change, and we don't make commitments on unreleased features. So please make decisions based on what's generally available today. Alright. Now that legal is happy, let's get started. So we're gonna actually kick it off with a video. So let's check out this video from our CEO, Matt Pearl. Hi, everyone. I'm Matt Kearl. I joined Apollo two years ago as COO, and just last month, I stepped into the CEO role at the company. Over the time I've been here, I've had the chance to work closely with so many customers, And you all have pushed us to move faster, build better products, and raise the bar for what go to market software should do. Thank you for that. Today, we're very excited to show you what we've been building. We're launching the Apollo AI assistant into general availability. It's a true teammate within your workflows that helps you research accounts, find prospects, and execute faster. With our AI assistant, it has never been easier to turn data into action. Alongside that, we're also rolling out major improvements to our data, better international coverage, new signals like funding and technographics, stronger enrichment through data waterfall, and new ways to bring Apollo into the surfaces that you're already working in, like clot and clay. That's just a glimpse of what's coming ahead. Let's jump in. Thank you, Matt. For what it's worth, Matt is a real person. I see people saying, hey. Is this AI? That's our CEO. It's not AI. Come on. And and and if I had to take a closer look at that video, he's recording it at, like, midnight or later. He looks pretty tired when he was doing that video. But I'm so stoked because Matt is not lying. What's happening at Apollo right now is really fantastic, and it's all because we're trying to build better things for y'all so you guys can ultimately have a better go to market experience. So now that we've heard from Matt, we've gone over how we should be interacting with each other, let's really get into it. These are the three kind of chapters that we're gonna be covering for today, so let's set them up. First of all, we're gonna kick off with the full GA of our AI assistant tool. So that's what Matt just alluded to, and it's exactly what it sort of sounds like. It's AI that's designed to help you prospect smarter, engage better, and manage your entire go to market motion more efficiently. Andy's gonna walk us through all of the details on that. Outside of that, we're gonna hear from Zir about how Apollo is continuously improving our data. And I think that this is a really good call out because when it comes to AI, it's only as good as the data quality behind it. This is where Apollo's fundamentally different. We are not a static database. We're a multisource and continually refreshed network with over 250,000,000 contacts that get refreshed every thirty days. So Zir is gonna tell us more about that and some of the improvements we've been making to our database. And if your mind was not blown by that stuff, don't worry because Jeffrey is gonna round us out, and he's gonna give us some further updates about what's ahead that is really going to be exciting. So I hope everybody is stoked. Let's get into it. I'm going to hand it over to Andy. What is going on, everybody? Good to see you. Thank you, Scott, for the very energetic intro. I'm gonna try to do my best to follow that up. Okay. Here we go. So, everybody, I am very, very excited to talk through the AI assistant. First, little bit of an introduction here. I am Andy, and I am the lead product marketing manager for Apollo's AI suite. Here to talk about my absolute favorite new capability. We've been working on it for over a year at this point. So, woo, it's a big day for us. It is the AI assistant. But before we jump in, I do wanna paint a little bit of a picture here. So lots of different AI tools have been released over the past year. Right? Past year, I mean, past few years. But, it's definitely a very hot topic in the go to market space, and there have been so many promises associated with it too. But to be honest, from what I've seen and what I've heard from users, there's a lot of additional work that's actually been created from it instead of less, either by adding a new tab to a workflow or needing to learn entire new concepts or having outputs that make you sound like everybody else. All in all, the consensus that I've seen is that it's actually really slowed work down for a lot of folks when it's really promised to do the opposite. So with that in mind, we knew the problem that we needed to solve, and so we launched the beta of the AI assistant last fall. The easiest way I can describe the AI assistant is that it's an in product helper that turns your goals into actual work across the Apollo platform. You start by giving it your business' context, and then it starts suggesting different workflows based on where you're at and your business goals. And so things like building lists based on your ICP, researching unique signals relevant to your business, drafting personalized messaging, again, based on those signals, and then analyzing the results of campaigns, so on, so forth. There is so much that you can do, chaining different activities together in Apollo through the AI assistant in just one end to end flow. It's really cool. And so the idea is that we wanted our users to have really two things. Number one was more usable outputs from their AI usage and not just, you know, generic fluff. And number two was the freedom to stay in the flow without needing to click into a bunch of other tools or copy and paste from other tools. And like I mentioned, this has been in beta since last fall, and so we've been steadily just, you know, improving on this concept for a while now. And over the past few months, specifically, we've been working on making outputs really, really consistent, clear, and ensuring that users fully understand how the AI assistant works as well. It's been super cool, you know, just seeing early adopters find success with it, and so I wanted to share a couple of these metrics that we're seeing. So, namely, in their first fourteen days of usage, early adopters of the AI system were 36% more likely to book a meeting and booked 2.3 x more meetings than users that just approached their outbound manually. So very, very cool results there. Okay. So that brings us to today. Today, we are super, super excited to share that the AI assistant is no longer in beta. It is generally available for everyone to use whether you're on a free or a paid plan. So folks on a free plan, you do have a limit on the number of messages and chats that you can send, but the usage is unlimited for folks on a paid plan. And in terms of credit usage, the assistant itself doesn't really cost credits, but some of the actions you run through it do. So, for example, if you're enriching contacts via the assistant, the records you enrich will consume the same amount of credits as it would be if you were manually enriching the contacts. It's just a different way of executing the same task. So anytime you are about to execute a credit consuming action, though, the assistant will always try to confirm the total number of credits you are about to consume It will always require your approval for that task. And so you're never gonna be surprised by, like, uh-oh. Accidentally spent a 100 credits. That's not gonna happen. Okay? So just keep that in mind as you're going through and testing it out. Okay. So those are the two, big headlines there. Now I wanted to share a couple of specific ways that people are using it and how they're finding success. And so in our beta, I'm going to, you know, start with one of my favorites. This is from Delaney Beam, an SDR over at IDEMU. So the AI assistant specifically helped her cut the amount of time she spent writing sequences by three times, and she's still seeing great results from the output, a 6% reply rate with meetings being booked within the first twenty four hours of activating her sequence. So really, really impressive results. And we're looking forward to seeing how y'all can replicate and even build off of that. And so without further ado, let's take a look at the product and show you some of the basics of how this works. To get started with the AI assistant, I'd recommend we test it with one of the most common use cases in Apollo, building a high quality list of prospects. In the people search tab, I'm going to click the execute with AI button to open the AI assistant and then click the prompt template to build my target audience. Once selected, the AI assistant will reference my contact center to provide a tailored recommendation. It sorts through Apollo's foundational filters like company sizes and scores, as well as more precise filters like job postings and departments to give me a result that fits my business, buyer, and offer. I don't need to click anything. The AI assistant applies these filters for me. The initial result could use some refinements, so the assistant asks how we wanna proceed. Let's go with apply company size. The AI assistant will always ask you follow-up questions and recommendations to make sure work is moving forward. And if you don't want to select any of the recommendations, you can always type your request in the chat window. And once the assistant is finished applying all of your refinements, you'll have a list of your target audience to start taking action on. Alright. Super cool. Okay. So pretty straightforward, easy to get started. Right? But some really impressive results. I've been, you know, part of organizations where it takes days or even weeks to figure out total addressable markets, ideal customer profiles. But now with the AI assistant, we've really shrunk that down to literally seconds all while staying grounded in our company and product context. So before we keep going, I'm going to actually share a couple of other examples of folks that are using the AI assistant in similar ways. So we have Eric. He's a BDR over at JumpCloud. He uses the AI assistant to find, or excuse me, build stronger searches without needing to be a prompt expert. We love to see that. No need to be a prompt expert to make the AI assistant work for you and Apollo. And then Tory, he's the head of rev ops at RapidSOS. He uses the AI system to find lookalike accounts and create custom fields to create highly segmented lists. So very, very cool use cases. Alright. Let's keep building here. Here are a couple of other steps that you can do to continue building off of that, like, searching, filtering capability? Because, again, Apollo's not just a search and filter tool. There's so much more that you can use it for. Let's jump in. Okay. You've got a list of your target audience here. Now it's time to take action on it. Let's see how the AI assistant can help us add them to a sequence. I'm gonna type this request in. Add 100 contacts to a sequence. The next piece here is probably the assistant going to give us a choice. Do we want to add them to a new sequence, or do we want to add them to an existing sequence? I went ahead and said a new one. Next, this is really where I believe that the assistant shines. It's going to ask us which type of goal we're trying to accomplish with the sequence. Do we wanna book more meetings? Do we wanna generate interest or replies? I went ahead and said book meetings. The assistant will ask for just a few more specifics to make sure that's giving us what we'd like. Let's take a look at what it says. Okay. It's asking what approach we want for our campaign. Different templates that it has built in. Let's go ahead and say high intent prospects template that makes sense for this campaign. This is the power of an end to end AI assistant. We went from having essentially nothing to a refined list of target prospects tailored to our business to now building out a sequence with personalized messaging for each prospect. And as it's loading the sequence here, you know, we can continue down this path, refining the sequence, adding different steps, or adjusting copy, and then you can move on to actually analyzing its performance when you activate it, and even automating it for future campaigns. And this is all possible through the AI assistant. Love it. Okay. So we can obviously use the AI assistant for searching for contacts and companies, but also now taking action on them. So let's move on to some other users taking advantage of this use case. Okay. So some more folks crushing it with the AI assistant. We have doctor Jonathan from TransPerfect. He generates high quality sequences in minutes, saving him hours on every campaign. And then, again, we have our friend Delaney from IDEMU building hyper personalized sequences that book meetings. We love to see it. Okay. Cool. So now it's time to turn things over to you. So here's how you can get started using the AI assistant. First things first, you're going to need to set up your contact center. This is, like we mentioned, this is the contextual brain that the AI assistant uses to make sure outputs are tailored to your business. Once you're done there, click into the AI assistant button. I showed you where that was in the video, but it's the button that says execute with AI across prospecting, sequences, analytics, multiple surfaces across the Apollo platform. And then once you click that, you can check out some of the prebuilt prompts, that are near the open text field at the bottom there. These are built by our expert GTM teams to make sure that you have easy access to executing really common tasks at the click of a button. And then, you know, we have a bunch of them. I think there's honestly over a couple dozen. So look them all over, to see which one makes the most sense for you, or you can obviously type in your request. And then finally, just review the output to see if you wanna move forward with it or if you wanna make any tweaks. Okay? And, also, we have tons of different resources here, for you to execute with the AI assistant, so just check them out in the docs tab in the upper right to access them. Alright. And so, everyone, like we said, this is all about turning your intent into execution in Apollo. Really, the end goal for you is to work faster across the Apollo platform. There's so much that goes into GTM, and so the assistant is pretty much the key to unlocking that speed while maintaining efficiency and high quality, whether that is building lists that make the most sense for you, writing, high quality messaging that resonates with your audience, or just analyzing what's working so that you can do more of it. So we're really looking forward to seeing what y'all do with it. And now I'm going to pass it to my friend, Zir. You know, you do need great data as a foundation for all AI tasks. And so guess what? She's gonna talk through all the newest data enhancements that we've announced recently. Zir, take it away. Thank you, Andy, and hi, everyone. So excited to be here. I'm lead product marketing manager here at Apollo. And I don't have a fancy mic as Andy did, but, hopefully, I can still bring you the good vibes. And, hopefully, you're hearing me well with all of with the sound. I wanna walk you through some of our latest data improvements here next. And, you know, AI output, it's only as good as the data behind it. So if the data is still fragmented or incomplete, AI just won't produce as good of of the results. So what really makes apolls.ai different is that it's natively integrated into, Apollo, one of the best data sources in the in in the b to b SaaS here. And so a quick refresher on Apollo data. It's one of the largest global b to b databases, and it's the foundation to all of our polls tools. That's really what sets Apollo apart is the data that you need to find the best leads and then be able to action on it in one platform. Platform. And as part of our database, we have 210,000,000 global contacts, 30,000,000 global companies, and a 150,000,000 of those contacts are refreshed monthly. And the way we are able to keep this not as a static database, but a dynamically constantly refreshed database is thanks to our 2,000,000 data contributor network and our engagement tools that we have in the platform that can constantly, reduce, remove bounced emails, for example. We also, obviously, as other tools sort of scraping the avail public available data, but we also integrate with third party data providers, especially for buying intense signals such as Bombora and LeadSift, but many more that I'm gonna walk you through actually in a in a few minutes here. Core to our so in our last couple of months, the recent data improvements that we made to our native, b to b database is that we actually now have a brand new education filter. So you can now go into Apollo PeopleSearch and filter by education degrees, schools, graduation year, a great, use case for those of you who use Apollo for recruiting, for example. The next data improvement that we made is that we've doubt more than doubled our funding signals. So we expanded coverage for the funding filter, and we also now include merger and acquisitions tracking and now have more than 95,000 companies actually flagged for M and A activities. Our third data improvements to our native database is doubling also technologies per organization. So as part of our technology filter now is that you have 12,000 or more organizations that are actually brand new tech profiles and then also 500 new technologies added to that filter. A sing a core signal here really is that a lot of the companies out there today do use more technologies. And then one of our most asked for data improvement is inter is phone number coverage. And so we've increased our international phone coverage by six percentage points. And especially in the India region, we have increased it by 12 percentage points. So just overall stronger global phone coverage, and while remaining the the quality, for US as well. And so, hopefully, these are specific data points that you already see as you go into Apollo to do your prospecting that we've improved sort of data coverage there. That's not all, though. We have even more data, that you can access within Apollo today. So one of our biggest release here is waterfall enrichment. It is while we have one of the largest database in the out there in the market, we you know, no one data provider have it all. And so in the instance where Apple might have gaps in our data, you can now use waterfall enrichment to plug in other third party data, sources, actually 20 plus of them that we partner with, to help fill in the gaps. And so from our early beta cohort, we've seen, customer using waterfall enrichment already seeing 5% more email coverage, 7% more phone number coverage, and 45% lower email bounce rates. And lower email bounce rates because we also partner with third party email verification, like Sierra Bounce, that now can where you can streamline your entire workflow and be able to find email and validate and verify those emails through third party providers all within Apollo. So you do not need to have separate contracts for all of these data providers. They're all accessible there. This is waterfall enrichment is available in the Apollo paid plans, and only admins can configure, the this setting, but that would be applied across the entire account. And I'll be, demo this in a few minutes so you can actually see it in action in Apollo. Also, as long with us releasing waterfall enrichment, we've we've seen really great results from our customers. So Josh, Budman, who's a cofounder and CTO CTO at Noble, has been using this feature. It's really helped streamline, their data enrichment workflows overall while being able to really reach more customers. And so he've heavily leaned on waterfall enrichment for their most important campaigns and saw Apollo being the most reliable in terms of both data completeness and performance and been able to see 80 to 90% better enrichment coverage, 10 increase in conversion rate, and three times more higher positive reply rates due to having better, data. And a couple of resources that we wanna share with you, on how to use this feature is that we have our own, James, who have recorded an Apollo Academy course that is available. It's also linked to in the docs tab here on the right next to the chat. We also have the, obviously, knowledge based articles where you can learn more about this feature. And the benefit of waterfall enrichment is that once you have set it up in your global configuration, it runs in the background at multiple, entry points or multiple places where you and your team might be enriching contacts for emails and phone numbers. So this is supported across our Chrome extension, across, CRM data, enrichment, job chain enrichment that we're gonna that we're I'm gonna demo for you in a bit as well, and then coming into our API. That was waterfall enrichment. The next big release here is to help with your prospecting is actually our new and improved scoring. So now you can prioritize smarter with both a toe and with both an improvement in our AI scoring, where we've incorporated 25 new more data filters across how you use Apollo and across the success we've seen in you using Apollo across your ICP, those are all additional data points that we take into consider consideration as we are building out the AI's auto score for your people and company lead scoring. So that is available across our paid plans that you'll be able to see that improvement today already. And, for those of you who might not, wanna do the AI or go with the AI scoring logic, obviously, we have the product, where you can set up your and build your own lead scoring. And we've revamped that experience, so it's now more easier to set up. We're also added additional filters and signals available for you to incorporate into your scoring logic. And, also, as you and your reps go into the people search page, interface or, like, prospect leads, you we have also now improved sort of the, breakdown and in showing you how each of the signals, contribute to the overall score, whether if it's a good fit lead or an excellent fit lead and so on, which I also will be demoing a bit. And the last, release that I wanna highlight here as part of my section is that, you we've also now released a tab called saved records hub. So it's the little last icon in your Apollo navigation where now you can stay more organized and manage all of your saved leads, peoples, and companies in that one central place. So, in that new saved records hub, you're able to see a refreshed spreadsheet spreadsheet style view to support, quick edits or AI research prompts, get more, timely recommendations on what the highest impact action is once you've saved this record. So helping you stay more focused and prioritize more effectively. And you can also have a little bit more robust filtering when it comes to, how you wanna look at the look at your people and companies that you actually saved and acted on. That way of being able to sort them through and just quickly act on them has become much easier now with the saved records tab. So those were all of the features. Let's, do a quick demo of of all of them and how that looks like in Apollo. Let me show you and walk you through some of our new features that we recently launched in Apollo. And so the first one I'm gonna start with is a waterfall enrichment, which is essentially that no single data provider has complete coverage. And so instead of relying on just one, Apollo now have waterfall enrichment enabled, which allows you to cascade through multiple data providers in sequence to find the verified contact data, email, and phone number that you need to do a successful outreach. And so if you head into the, people search tab, you'll find the email column, you'll find this icon here to click on. You'll see the default set of data providers that it's already configured within your account. Up here, you'll find the estimate of credits that will cost, cost you based on the setup to be run here, but it would only cost you a credit based on which data provider that will provide you with that email. And you can customize the waterfall however waterfall setup however you like. You have additional, data sources here. You can easily add or remove or adjust the order. And, again, only the specific, data from where that actually gives you the data will we charge credits for, and that credit amount is listed here. So for Apollo and all of the ones that are listed here, it's only one credit per email versus for these down here are two credits per email or 10 credits per email. What's optional is also adding a third party data validation source. We have zero balance here as a default set up for you as well, which would cost an additional credit per email verified, and that it's helpful to have this added here so that you can reduce your, potential bounce rates from emails that are are bouncing essentially. So we do recommend to have this set up, and the same logic applies for phone numbers right here as well. It's just that the credits amount per phone number provided will be charged differently, and we have a different slightly different set of data sources available for you to find phone numbers for. And, essentially, the Apollo account admin is the one who can actually set up the waterfall global configuration, which would run-in the background across the entire account, for every of your team member who's doing prospecting in Apollo. And it's we definitely recommend to, like, review the setup as this will help improve both your email, phone number, data coverage as well as accuracy so you can have higher success in your outbound outreach. What's also a bonus here that if you have job change, enrichment scheduled, to your CRM so if you have your CRM data connected to Apollo, you'll be able to see how many of your contacts in your CRM have outdated information because they change jobs, you can easily set up a scheduled enrichment, job here to update all of those contacts that have changed, that essentially outdating your CRM and have recently changed job. And as part of this automatic enrichment setup, you can turn on waterfall. That again will help boost your email coverage and accuracy, and so, recommend having this on. This is also entirely new that we release and release as a capability. So that's waterfall enrichment and how you can make sure you have the right contact information, email, and phone numbers to be able to act on it. Now the next step would be going into how then would you prioritize which leads you'll be reaching out to. We just recently relaunched and revamped our entire, scoring product. And so in the Apollo people filter, you'll find our scores filter, for example, where you filter by, excellent, good, fair, or not a fit. And so if you click into this manage score, you'll be and click into creating a new score, you'll see that we'll revamp the entire experience for you where you have now so many more filters to build your custom score on. And this essentially allows for you to be even more, create the scoring logic that is even more deep and more detailed and more prioritized for your team so that they know which leads to work on. Once your model is set up, you can go to the people, search tab again, and in your leads view, be able to scroll here to the scores, people auto score, column and be able to see what a good fit lead might look like and the criteria that actually went into it. And so because this is a dummy account, we don't have a proper score set up, and we're not doing actually, we're doing a ton of prospecting here. So you'll see that this breakdown is somewhat limited, right now. The last feature in as part of this demo, which is our saved records tab, and the saved records tab is a new way for you to stay organized around contacts and companies that you're actively working. As you prospect across a company, searching for different titles or different roles can be really hard to track who you're actually engaged with and who's new. So this saved records, Hug really solves for that. You could come in and see which contacts you've already saved and acted on, which are newly discovered prospect and which saved contacts have changed jobs since you saved them, where you can easily be able to use the job chain filter here and select the contacts who have changed job and then update them either one by one or in like I did show you in the previous step to set up a automatic enrichment. But that auto the difference there is that the automatic enrichment is specifically for your CRM connected contacts, while as here, if you're primarily working out of Apollo and you have the most up to date contact, this view right here is the best one. So that's a wrap on today's features on waterfall enrichment, job change enrichment, improved lead scoring, and how you can stay more organized between your saved records and Apollo's lead database. Thank you. That was a brief quick demo of the latest improvements that we made. Hopefully, that was that was helpful. So a quick recap here. Really get into log in to your Apollo account today and try, and explore these features. We have a improved phone coverage, funding, tech stack data, a new educational filter in Apollo search, new and improved AI scores, and the way you can build your custom lead scoring, as well as waterfall enrichment, turn on on your account, make sure you adjust which data providers that you wanna have in your setting to improve your data coverage and accuracy, and then being able to work your saved contacts and companies in your saved records hub and take action on them. So that was all for me. And with that, I'm very excited to head off to Jeffrey, who's our group product manager, to talk about some of, what's coming next here. Awesome. Thank you, Sierra. So you've already seen actually, I have to click this. Yeah. We've seen already these exciting enhancements that are currently live in Apollo. You can get started trying it out today. What I wanted to do next, I wanna show you what we're cooking on and will be coming soon. First up, we talked a lot about finding your perfect leads. Usually, that means guessing who might be interested and reaching out to them. Right? But often, your best leads come to find you. So you might be familiar with our website visitor tracking feature. For that, instead of tracking anonymous sessions, you can see what are the actual companies like Amazon or Stripe who has visited your pricing page. But here's the reality. 98% of the visitors never filled out a form. And even when you know the company, you still don't know who's actually researching you. And that's why contact level of website visitor changes that. As part of our inbound add on, you will see the actual decision makers engaging with high intent pages, and it's a evolution from anonymous anonymous traffic to known contacts, to known accounts, and to known buyers. That's how you unlock more pipeline from your existing web traffic. And this is currently in a closed beta. If you like early access, join the waitlist. Look at this little doc doc section on the top top right in your Goldcast. That's where you can get access to it. Next up, intent does not only live on your website. Website visitor is just one type of intent. Odo is a very high effective one. But to penetrate target accounts, you need to identify the best selling moments and focus on prospects who are showing this type of intent. And this intent can live anywhere in all short sort of shape shapes. Right? Whether it's defined by recent job changes, business expansion, or just simply leaving a positive review of the product. But you probably see the problem. These type of behavior signals are scattered everywhere. Social engagement tracked in one tool, product reviews tracked in another, and there's oceans of external data such as news streams that's impossible to parse into. And that's why we're expanding the signals layer. We're consolidating signals across categories and allow you to personalize that to fit to your sales play. And that's how you turn sales from reactive mode to proactive mode, and that's how we can constantly get ahead of the game. And finally, you can see where we're bring. We're bringing your most predictive intent signals into Apollo. But at the same time, we know that you may need to access Apollo's data and other tools of your go to market stack. That's why we bring Apollo to places you're familiar with. Up first, for those of you who uses Clay, you can now pull more Apollo data faster into Clay to enrich them. And there's also a new sequence integration. This allows you to orchestrate sequences in Clay and push them into Apollo for reps to execute on. Next up, I'm extremely excited to announce Apollo's connector to Cloth. We all have lived this in in this era. AI is not just generating ideas. It's taking actions for you. You can now search for prospects and rich contacts and add people people to sequences directly all inside of Clock powered by Apollo. These are some of the exciting enhancements I'd like to share with you. And now I'll pass back to Scott for the final notes. Alright. Thank you, Jeffrey. Okay. Everybody, what you saw today is is literally just the highlight reel. Beyond what we talked about, we've rolled out dozens of additional improvements across deliverability, which is something that a lot of people had questions about around meeting management, around enrichment, integrations, and performance. So if you really wanna get a full picture, please head to the knowledge base and check out the release notes. That is where everything lives. Like I mentioned, all of our feature updates, enhancements, fixes, the detailed breakdowns of each. We also recap the biggest resource, excuse me, releases every month in the product newsletter. So if you prefer curated highlights instead of digging into the notes, that's the best way to stay in touch. Bottom line, you get it. If you blink, you will miss something, so stay on top of it and check out the release notes. The other thing that I want to call out is you can talk to our sales team. So if you're interested in seeing how Apollo could work for your team, we'd love to continue the conversation. There's a poll on your screen right now, so just feel free to respond there if you'd like someone from our sales team to follow-up. You can also find this information in between the poll and QA tabs under the docs. So there's also some section under the docs. You can see this information. And then the last thing to ask is, you will receive this recording and the links in today's slides, everything we've covered and more. But I do have an ask. There is a survey. It should pop up any moment now, and we'd love to hear your feedback, on how this session went for you, any feedback you have, what you would like to see in future sessions, etcetera. So please take 30 to fill it out. It generally helps us improve these sessions and prioritize what we're building next. Cool. Awesome. Give that another second or two. Okay. Awesome. Thank you so much, everybody, for joining today. Again, happy Wednesday. Check out the resources. Look out for this recording. Really appreciate everyone taking the time joining today. Thank you so much.