In this episode of GTM AI, Jam Khan, SVP of Product Marketing, demoes Zoominfo's brand new AI Copilot.
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[MUSIC]
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Hello everyone and welcome to Go to Market AI,
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the future of your Go to Market tech stack.
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I'm your host, Sarah McConnell.
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These days, it seems like every company has AI,
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but on this show, we want to go a level deeper so you can see
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first-hand how businesses are actually using AI to solve your business
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challenges.
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We're going deep into the use cases and showing you live demos of
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the latest and greatest in AI technology.
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Today, I'm joined by Jam Khan, SAP of Product Marketing at Zoom Info.
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Jam, welcome to the show.
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I'm so glad you're here.
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>> Thanks for having me, Sarah.
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Pleasure to be here.
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>> I know you guys had an exciting product launch recently,
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so I'm so excited to jump into the demo and see that live.
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But before we do that, I'd love to learn just a little bit more about who is
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Zoom info,
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what do you guys do and who are you helping on the market?
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>> Yeah, wonderful. Zoom info has been on this 17-year mission of
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helping go to market teams,
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get to their buyers first with the most context.
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So our goal has been to gather as much data,
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as much signal and make it available to sales and marketing teams.
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So they can get to the right buyers,
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address them at context and the more you know about the buyer,
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the more relevant you can be.
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That's been what the founding thesis was,
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our founder Henry, when he started this out of his dorm room in law school,
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17 years ago, and with this latest release to your point,
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AI is now at a point where it can really make a huge difference in how this
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information
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can become more valuable to these teams.
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That's the next iteration of what we're trying to do here with
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Zoom info co-pilot is make all of this data and signal that we've become
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sort of very famous for,
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but make it that much more actionable,
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that much more useful and the proof is in the pudding.
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So super excited that this is the type of show where we actually get to show
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you
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what we're talking about.
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Yeah, this is my favorite part and we could jump right into it is
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seeing an actual demo of your AI and your use cases.
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So I'd love to jump into the demo if you're ready.
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Fantastic. You're able to see my screen here.
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Yep.
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So you put yourself right in the shoes of, you know, a seller,
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you've got your target account list, you know,
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you've got a quarter hanging over your head,
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up and you've got all this information you have to sift through,
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and you're working in an environment where there's less and less
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information available from buyers.
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You know, buyers aren't filling out forms.
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They're not raising their hands until they're completely ready
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and have pretty well made a decision.
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Qualified knows this all too well.
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You've built a whole sort of market motion around this.
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So I'm showing you here is, you know, a target account list
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that's tailored to a particular seller.
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So in this sort of demo, this is my target account list
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and it's prioritized by, you know, signal strength,
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recency, and it's organized by the target accounts.
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I should be like reaching out to you.
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So you've already got, I'll take the example
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or rely a quest here on top.
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It's telling me that it's a great account fit.
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It's in Salesforce.
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It's a target account for me.
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And here's why it's a good time to reach out.
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In the last seven days, they've had a funding round.
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They actively research sales and sales operations,
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which in this case is what I'm like selling to them.
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Dean Vecchio is recently promoted to Vice President of Sales.
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These are all really good reasons to reach out.
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So co-pilot is telling me, hey, you know,
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based on your entire target account list,
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this is a good one you should like focus on.
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So we all know that today, buying groups are getting larger,
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decisions are more like complex.
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So you'll see over here that I've got the option
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to find the buying group.
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And when I click on it, there I'll take your eyes over
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to the right side of the screen,
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where you'll see a list of potential buyers
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that comprise the buying group.
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And at the top here, you'll see that we've taken
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a lot of photographic information and information
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we know about from our like third party data
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to make an AI based recommendation
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on who the right buying group should be.
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So you've got your, you know, all the buying groups organized,
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but these little stars here are where we're applying AI,
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knowing what we know about what you're offering is,
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what, you know, who makes the decisions
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or like a request and giving you recommendations.
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These can all be tailored now.
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I can go in here and customize who's in the buying group.
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But by default, the AI is giving you a really good starting
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point and giving you recommendations
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on who you should be reaching out to.
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And based on your past history and success you've had,
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you can also filter this down by who's most likely to engage.
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So already see the AI already starting to work
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through some of the toughest sort of, you know,
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decisions and research elements
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that a seller has to go through is,
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who should I be reaching out to,
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who's more likely to like respond?
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And amongst this, I'll just take it up,
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Joey and Julio here as examples.
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I want to fire off an email to them.
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Yep.
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Give me a moment here.
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Actually, what I'll do is I will cancel out of here
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and move you over to, I had a draft here, say, excuse me.
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I'll go over here, bring this up again.
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And you'll see over here,
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it's starting to compose a message for me.
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And because of all the signal and data and contacts
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that Zoom info has, and this is sort of what we're known for
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is the breadth of data, both the first party data
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we're getting from your CRM and map
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as well as all the third party data we're known for,
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we're able to aggregate that and put together
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a really well contextualized message
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that gives you a starting point.
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Now, you know, you can personalize this yourself.
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You'll see over here that you might say,
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"Hey, I want this to be a little more friendly."
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I'll go ahead and rewrite it for you.
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I want to shorten this a little bit
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because I feel like, you know,
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I've seen that shorter messages have better responses
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and I've got a good template for what I can already
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like sort of send out to John.
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I've left further options here where I can click on,
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you know, "Pape, they've actively researched sales.
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If I want to add some additional context,
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I can do that as well."
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And I can go ahead and have it drafted again.
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And it'll continue to work with the personalization.
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I'm giving it to give me a really good starting point.
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And the difference between this and, you know,
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there's a lot of AI email writers here.
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It's all the context that is sucking in.
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It's pulling in all the signal.
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It's pulling in what it knows about your buying group
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and it's creating a really like well contextualized
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like email for me, as well as it's giving me
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some good context on who all I should reach out to
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so I can increase my odds of winning.
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- Yeah, this is incredible.
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I know just from listening to my SDR team,
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what you heard from the start there of like,
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"Oh, you know, Dean just got hired.
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They did a run of funding."
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Like it takes teams so much time to go find those signals
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when they're in despair of places
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and they're trying to research
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and that already is such a time set for our team.
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And then to your point of writing those emails
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and having AI help draft those emails,
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yes, they could go use a chat, UT,
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but to your point that doesn't have any of the context
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of what they're doing, who they are or like your own product,
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which I think is so important to writing those emails
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and our reps take so much time to draft emails,
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even having AI help do that first draft for them
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and having all of those signals
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that are being able to be important.
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Like what you just showed them like,
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"Oh man, that would have taken our reps an hour."
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Like if they were doing a really good job
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of like doing their target account research and writing that,
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that's a really time consuming process
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that you just showed in a couple of minutes.
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Fantastic.
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It's pretty remarkable and you've sort of teed up
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the next part of what I'm about to share,
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which is even more exciting.
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But to your point, it's about giving sellers
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the benefit of speed and confidence.
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And those are game changers.
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I hope everyone wants to be in a deal first
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and you want to approach your buyer with context.
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You don't want to waste their time, you want to add value.
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And a lot of times I think sales teams or sellers
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get a bad rap because, you know,
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"Hey, I got..." and you see it all the time on LinkedIn
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and I have people calling out SDRs.
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Like they sent me a poorly crafted email
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and well, it's really hard.
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You know, they're not...
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It's not for lack of trying.
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If you don't have the information,
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you're just working, you know, a little bit blind.
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You're trying to move fast,
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but you're also trying to go in depth.
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And this is giving you both speed and depth
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without having to sacrifice quality.
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Yeah.
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And I'll slick in a second here and show you now
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if I dive into a rely quest now.
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You're getting all the details that
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you're zooming for is known for, right?
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So you know about the company, you know all the signals,
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you know the contacts.
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But I'm going to take you over here to the stuff
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that's super new over here with Co-Pilot,
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which is your account AI.
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And this is just incredible
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because you talked about the hours
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you need to spend and do in research.
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Think about, you know, doing a preparation
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for your sales manager, your CRO,
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who's coming in as an exec sponsor
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and like, "Hey, I want to know about this account."
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It's hours of preparation to get, you know,
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your manager prepared.
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I'm like, "What they need to know about the account."
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And over here, all of it's summed up for you.
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Really succinctly, everything you'd need to know
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about this account for you to be able to engage
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in a meaningful way.
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What are their pain points?
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Like, so you see over here, like,
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these are the products they have.
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This is the utilization.
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These are the licenses that they've used.
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You don't have time for the full report.
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Here's a quick summary on who they are.
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This is pulling in not just from, you know,
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publicly available information,
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but it's also looking at, you know,
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our conversational intelligence.
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So it's capturing, like, you know,
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proprietary stuff that you'd have, like, you know,
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between the conversations you've had
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between the buyer and seller
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that add a little more context.
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So you know, "Hey, is this a happy customer or not?"
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Like, you know, one of the recent discussions
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has been around where they're in the renewal process.
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You know, and I can go through here
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and, you know, here are the important contacts
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that I need to know about.
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Here's general information.
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Everything you need to know about the company,
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company overview, products and services they have.
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Here's the financials of the company.
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If they're a public company, you'll get an entire,
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their entire earnings call summarized for you.
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How many salespeople are really good
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at reading through an entire earnings call transcript
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and, like, bleeding out what they really need to know?
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This is, you know, AI is really, really good at this stuff.
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It's good at taking mass amounts of information
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and just making it very digestible.
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So the sales teams, in the sales teams,
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can do what they're actually really good at,
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which is creating those human-to-human conversations,
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getting back to why they got into selling to begin with,
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which is not to be master researchers
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or wizards that are using a lot of tech.
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They're there at building wonderful human relationships
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and adding value.
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And this is taking all the grunt work out of the equation,
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just making it really easily digestible for them.
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- Totally.
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I know we've heard throughout this AI era
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that started in 2022,
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there was, "A is gonna free up time for you
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to do more high priority things."
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And when it stands, you're like, "Yeah, well,
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what does that mean?"
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But then you show it here and you're like,
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"Oh, Dear Boy, like, sellers aren't,
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you know, listening to an entire earnings call.
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They're not good at going through all of sales force
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and pulling out, you know,
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I've been an exec sponsor on calls
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and gone in feeling unprepared,
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because it's hard to go through the entire sales force instance
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and the information in the earnings call
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and prep me coming in blind on what to focus on in this call.
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And those are activities that sellers don't wanna do
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and we're like, "Oh, if AI can do this for them,
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that is spring up their time."
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Dear Boy, for high priority activities,
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which is what we pay them to do is close deals
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and build relationships.
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So it's so cool seeing like actual use cases of that
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because we've been hearing that for a long time,
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but you're actually showing how that's being taught.
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- You know, you don't and we've been,
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this is how we've been using it as well.
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You don't even need to have much of the conversation
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with, you know, the seller ahead of time.
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You jump in and, you know,
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I was recently at Gardener CSO at Forrester Summit.
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It's able to meet with, you know, customers' hours
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where, you know, I quickly just pulled up our instance
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of co-pilot, go through and I've got a full summary
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of everything I need to know about the account.
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And in some cases, the customer themselves didn't realize
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that they're, "Oh, we're at 80% utilization.
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I had no idea."
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And I was able to speak with, you know,
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with such command about the account
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and would have taken me hours of chasing down, like, you know,
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both the SDR and the CSM and the seller
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to learn everything I need to know about the account.
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It's all here summarized for me.
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But even better, as I prepare for, you know, a meeting
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or as if I want to know more about the account,
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we've now taken the best of, you know,
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what generative AI has really brought
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to the sort of forefront,
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like the chat GPT type of experience.
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And, you know, I call it chat BTB.
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It's right here in front of you
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and you're able to interface with all this data
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in a way where this is how we're, you know,
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learning to expect how to interface with AI.
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So, you know, we've got some prompts for you here,
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but hey, tell me what I need to know
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before jumping in a cold or live quest.
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And here you've got it instantly just summed up, like, for me.
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So...
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- That is really cool that I wanted to know
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it's right here and it's summarized for me.
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- We've, I think there's such a cool part about
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but this natural language and being able to,
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so you see me able to just interface with AI
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and ask it questions of that natural language
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instead of having to like go in and pull reports
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and figure out how we can build formulas and salesforce
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to like pull this data,
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being able to just use that natural language
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and say, hey, can you just tell me what I need to know?
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Or hey, can you just summarize this for me
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and tell me a little bit more, it's so much easier
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and just, I think, into with how we interact as people,
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which just makes it such a key feature.
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So, I was so excited for you to show that I could see it
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on the right hand side and I was like,
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this is so cool, it gets your point.
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You're meeting with people, these conferences
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and yeah, they are overview is fantastic
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but you might wanna go a little deeper on something
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and you need to pass the chat right there,
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you're not in Slack or teams trying to ask
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like four different people on the account for answers
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and you can just do that for you
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and save their time to do other things.
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- Yeah, I mean, the irony of this is like it's,
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it's sort of AI sort of humanized our relationship
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in some way with the machine.
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So, I mean, I'll do, you know,
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I'm gonna just run a real-time experiment here.
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I haven't tried this prop before, but, you know,
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are they a happy customer?
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Good thing to know before I jump on a call.
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And here you find out actually,
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so right here, based on the information provided,
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it does not appear that it requires
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to the completely happy customer of.
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So, Skywing is, you know, I'm showing you
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an in a demo instance of a fictional company called Skywing
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and good stuff to know.
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Hey, there's a slight lack of trust over here,
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so there's a potential for non-renewal.
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They've had some integration adoption challenges.
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They're concerned about Skywing's security.
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Negotiations are on pricing, implying
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that this is part of, point of contention.
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Really good context to know,
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so you don't have, you know, the exec sponsor come in,
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thinking everything's all great,
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now I'm gonna ask for that renewal,
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and you know what, I'm gonna increase the price on them as well,
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all of a sudden, you take a different tone with them.
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You know, you've got a completely different approach
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and they're all things that, you know,
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I mean, so many different use cases for this, right?
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Account prep, exec sponsor, you have sales tone over
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and new person comes in and we've got to catch up
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on like the account.
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Really everything that you'd need available to you
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in a number of different ways.
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And then with the emailer and with this chat,
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it just makes it all very actionable.
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And I mean, that's a part for me,
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which is super exciting is we see so much AI at work
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and it's solving a lot for us,
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but you know, how much of it can actually be put to use.
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And what I love about this is this is actionable.
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This is stuff that you can use today.
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- Yeah, this is incredible.
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I love that real-time example because to your point,
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like, yeah, as an exec sponsor,
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I'm gonna wanna know if they're not a happy customer,
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you don't wanna come in thinking
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this is gonna be an easy renewal conversation,
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it turns out not to be,
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but also I think about our, you know,
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we do our executive reviews with customers
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and being able to even use like how it bolds,
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like the sections, like those are really small things,
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but really useful things for me
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as an end user to see things summarize
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with like a headline and a quick summary at the bottom.
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Is my, you know, CSMs can now use this
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to change their entire presentation
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that we would give to that customer?
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Because I know these are issues you're having.
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I can bring in the right people to the conversation,
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talk about integrations or safety concerns
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I'm gonna bring on some of them or a team
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that can reassure you about safety and security concerns.
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So I get to see so many use cases
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for just that one hot in general.
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I'm like, oh yeah, I would use this.
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Exactly.
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And that was sort of the, you know,
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the sort of founding thesis was, you know,
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which customer should I talk to?
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When should I talk to them?
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What should I say?
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It's what everybody in the go-to-market team really wants
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to know if you're armed with that information,
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there's so many different use cases
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from the CSM point of view, a seller point of view,
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you know, any one of the go-to-market team, you know,
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I wanna know when I, who should I talk to?
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When should I talk to them?
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What should I say?
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And then of course, who should I say it to?
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And that's where combining a lot of that first party data
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with all the third party, propriety data we sit on,
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yeah, that's sort of what the magic equation is bringing in,
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all the signal, all this data together.
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You've got this wealth of information that you can tap into.
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It's been, you know, the perfect storm of like AI
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is in a place right now where it can really do
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some great stuff with it.
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And so it's never been a better time to put out
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sort of a product like this.
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Yeah.
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The other one that's, you know, might be the last thing
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I show you here as well is I talked to you
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about the target accounts, the preparation
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for these target accounts.
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The other thing that we surface because we sit on
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all this third party data is white space companies.
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So these are, let me cancel out this right here.
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These are all companies that aren't part
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of your target account list, you know,
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might, may or may not be in your CRM,
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but they're exhibiting buying signals.
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So this is all your opportunities that you may not be acting on
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that you're missing out on because, you know,
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you're using traditional methods of, you know,
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prospecting based on losing your ICP.
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I want to go after this vertical, you know,
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I, you know, I'm looking at thermographic information,
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but you know, they're buying signals that you're missing.
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And so now you've got an opportunity to see all these counts
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that are showing signals and, you know, in our, you know,
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beta that we ran over 500 customers and over 20,000 users,
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you know, almost half the pipeline was predicted by co-pilot,
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which means they were buying signals there that, you know,
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in many cases you didn't have visibility into
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and you potentially would have like missed.
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And that's what we're all going for,
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whether we're in, from a marketing lens or sales lens,
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we all want that first move or advantage.
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You get to that buyer first, you get to control the narrative
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and being able to have visibility in these signals
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and act on them.
20:00
It's sort of the key to having that first move or advantage.
20:03
And that's been a lot of the guiding principle behind this
20:05
is how can we give GoToMarket teams a first move or advantage
20:10
so they can anticipate their next buyer
20:11
and approach them with a lot of confidence.
20:14
- Yeah, that's, that's incredible
20:15
that over half the pipeline was predicted by this.
20:17
So that's like, that's all I care about, you know,
20:19
I'm in demand, and I care about pipeline.
20:22
And I like having this white space area in particular
20:26
because, you know, we talked about target accounts.
20:27
Obviously those are very important,
20:29
but they are, they're not infinite.
20:31
Usually, most companies have a smaller, very honed
20:35
target account list.
20:36
That's what ABM folks really focus on.
20:37
But there are a lot of other companies out there
20:39
that match your ICP that might be in your Salesforce instance,
20:43
but just aren't focusing your SDRs on them
20:46
because they haven't, you know, up to this point,
20:48
you wouldn't have had the signals
20:49
that they are worth reaching out to.
20:50
So being able to come in here and easily see,
20:52
yeah, these are accounts I haven't been thinking about
20:54
that I can reach out to you.
20:56
And I still love that it gives you,
20:57
now's the time to reach out and here's why.
20:59
Those three little bullets there,
21:01
I'm like, man, that saves us SDRs so much time.
21:05
- It's the combination of knowing,
21:08
you're having visibility into this versus all the research,
21:11
then knowing what to say, also knowing who to say it to,
21:14
and then also having the chat ability to learn more
21:17
about it based on, you know,
21:19
everyone's got their own approaches as well, right?
21:21
Everyone's got their own methodology.
21:22
So if I can have a chat-like interface,
21:25
where I just wanna know particulars about it,
21:26
hey, tell me when they had their last funding round
21:28
because I like to take that angle.
21:31
Tell me, you know, if a new champion like Joy
21:34
and or if a champion left,
21:35
just all that information allows them also, you know,
21:39
to personalize their content and their approach,
21:41
whether it's via phone or, you know, via email.
21:44
- Absolutely, well, GM, this was fantastic.
21:48
Thank you so much for taking us through this demo
21:51
and your new co-pilot.
21:52
It's amazing.
21:53
I know you just launched this what, like a week ago
21:55
and very cool to see it in action.
21:58
- It's been super exciting.
22:00
Thanks so much for letting me show you a glimpse
22:03
of what this is and, you know, where the exciting part,
22:07
which is how like just tech and innovation works is.
22:10
This is this version of co-pilot you're seeing
22:14
is the worst version that you're ever gonna see
22:16
because we're only feeding in your AIs
22:20
and we're only gonna get better.
22:21
So only gonna get smarter.
22:22
I mean, we've just seen even a chat GPT, right?
22:24
The pace at which, you know, you see the innovation there.
22:29
You just see how fast it's moving
22:31
and the combination of that and, you know,
22:33
for us, the roadmap is just to continue to feed signals in.
22:36
We have a large sort of partner ecosystem we're investing in
22:40
so that we can get signals from our like partners
22:43
and in return, they get access to this information.
22:45
It just creates this wonderful flywheel
22:48
of being able to, you know, we want this value
22:50
to sit wherever people are working.
22:52
So whatever platform you're in,
22:54
whether you're in your sales engagement platform,
22:56
whether you're in your CRM, this will be available to you
22:59
and in return, right?
23:01
We understand those buying motions better
23:04
and that makes co-pilot richer.
23:05
It just creates this great symbiotic relationship
23:08
where, you know, we continue to just, you know, apply AI
23:11
to this increasing set of signal and data.
23:14
So we're super excited about where we can take this.
23:17
- Absolutely. Now I have a couple of questions
23:18
I would love to wrap with.
23:20
The first one being, you mentioned Zoom info,
23:21
it's been around for, I think you said 17 years,
23:24
but how long have you been building AI into Zoom info?
23:27
- So, you know, it's been years of, you know,
23:33
building AI and, you know, investing in it,
23:35
but I'd say over the last, you know, 24 months,
23:39
the vision of bringing co-pilot to life
23:42
has really been a very heavy investment in generative AI.
23:46
So we've had, you know, you know, prescriptive AI,
23:50
it has been predictive AI, it has been, you know, you know,
23:53
AI and we conflate the terms AI and machine learning
23:57
quite often and so without getting very sort of pedantic
23:59
about it, I'd say what makes this vision really interesting
24:03
is, you know, we're at a place right now
24:05
where generative AI is able to do, you know,
24:08
some things that have a exponential effect.
24:11
I think we've all experienced it in our lives, right?
24:14
Like everybody knows it has played around with chat GPT
24:16
in some way, shape or form, even though AI has been around
24:19
for, you know, years and years,
24:23
it hasn't really hit the public imagination until chat GPT
24:27
really, you know, brought generative AI to the forefront.
24:30
And so it's what that lens we're over, you know,
24:33
we've really doubled down on our view.
24:36
And, you know, this is, this version of Zoom info
24:40
with co-pilot is I think where, let's say,
24:43
it's truly an AI first offering versus AI being
24:47
behind the scenes making stuff better.
24:49
This is an AI forward offering.
24:52
>> Yeah, I love the way you worded that.
24:53
It's been there, you've been building it for,
24:55
there's been AI features sprinkled out the product
24:58
but this is the first time where it's actually been like,
24:59
hey, this is AI first, AI forward.
25:03
Now, what you showed today, is that currently available
25:06
to customers that they were to purchase Zoom info tomorrow?
25:09
>> Absolutely.
25:10
>> You know, our GA was last week as you noted,
25:13
May 22nd, so co-pilot's available.
25:18
We've already seen a tremendous amount of interest in it
25:21
launched last week, so yeah.
25:24
Ready for everyone in it.
25:25
It's sort of, you know, our customer base is Zoom info
25:29
because of this foundational problem it solves
25:32
really spans the gamut.
25:34
We've got, you know, your mom and pop shops
25:37
with small SMBs that use this to build as a foundation
25:41
of their business.
25:43
And then we've got large enterprises, you know,
25:46
the snowflakes of the world and, you know,
25:48
the abuse of the world that rely on this data as well.
25:52
Everybody needs buyers.
25:55
Everybody needs to know more about their buyer
25:57
and this offering is quite malleable
25:59
because it sits on our data combined with your first party
26:03
data and you sort of, you know, seeing how to suffer,
26:06
sort of manifests itself.
26:08
It's in a manner where any salesperson in any sort of
26:12
size organization can take advantage of it.
26:14
And, you know, we are that sort of, you know,
26:17
rare company that has a really healthy,
26:19
large enterprise business and SMB business
26:22
as well as a pretty strong PLG motion as well.
26:25
And I think it's because of the nature of, you know,
26:27
what we're offering, which is context and information
26:30
about your buyers, wherever they are.
26:33
>> Absolutely.
26:34
Now my last question for you is,
26:35
what's next on your AI roadmap as Zoom info?
26:38
>> So coming up next for us is, you know,
26:41
a really like healthy map of additional like signals
26:46
that are going to make all of this context richer, you know,
26:50
you know, more tangible.
26:51
It's just like I said, this is,
26:52
this is the worst version you're seeing right now.
26:55
And it's got a pretty cool like wow factor to it.
26:58
But additional, a lot of analytics as well for you to be
27:01
able to see the impact that this has been able to actually
27:05
tangibly measure, you know, the impact of signals
27:10
and how it affects, you know, opportunity conversion rates
27:13
without having to just, you know, come up with a lot
27:15
of convoluted RAM dashboards or investing heavily
27:18
in a lot of dashboards that'll let you see and measure
27:21
and really see the impact of what CoPilot's having.
27:25
And so our CoPilot analytics, that'll be, you know,
27:28
a fast follow to this will make a lot of this value
27:31
very tangible and measurable to our customers.
27:34
- Amazing.
27:35
Well, for anyone who's watching this,
27:37
if you want to see a full demo,
27:38
I know what GM showed today was just a taste of CoPilot's.
27:41
If you want to see a full demo of Zoom info
27:43
and what they can do,
27:43
you can obviously go to zoominso.com and request that.
27:46
Otherwise GM, thank you so much for joining us
27:48
on the show today and showing us Zoom info's CoPilot.
27:51
That was fantastic.
27:53
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27:55
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