Qualified + 27 min

Give Your Sellers an Unfair Advantage with Zoominfo AI Copilot


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,

11:45

what does that mean?"

11:45

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."

12:12

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.

12:18

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...

14:01

- 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,

14:19

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,

14:56

it's sort of AI sort of humanized our relationship

14:59

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.

15:05

I haven't tried this prop before, but, you know,

15:09

are they a happy customer?

15:13

Good thing to know before I jump on a call.

15:15

And here you find out actually,

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so right here, based on the information provided,

15:23

it does not appear that it requires

15:24

to the completely happy customer of.

15:26

So, Skywing is, you know, I'm showing you

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an in a demo instance of a fictional company called Skywing

15:32

and good stuff to know.

15:34

Hey, there's a slight lack of trust over here,

15:37

so there's a potential for non-renewal.

15:40

They've had some integration adoption challenges.

15:42

They're concerned about Skywing's security.

15:44

Negotiations are on pricing, implying

15:48

that this is part of, point of contention.

15:50

Really good context to know,

15:51

so you don't have, you know, the exec sponsor come in,

15:54

thinking everything's all great,

15:55

now I'm gonna ask for that renewal,

15:57

and you know what, I'm gonna increase the price on them as well,

15:59

all of a sudden, you take a different tone with them.

16:02

You know, you've got a completely different approach

16:04

and they're all things that, you know,

16:06

I mean, so many different use cases for this, right?

16:07

Account prep, exec sponsor, you have sales tone over

16:11

and new person comes in and we've got to catch up

16:13

on like the account.

16:15

Really everything that you'd need available to you

16:19

in a number of different ways.

16:20

And then with the emailer and with this chat,

16:22

it just makes it all very actionable.

16:24

And I mean, that's a part for me,

16:25

which is super exciting is we see so much AI at work

16:29

and it's solving a lot for us,

16:31

but you know, how much of it can actually be put to use.

16:35

And what I love about this is this is actionable.

16:38

This is stuff that you can use today.

16:41

- Yeah, this is incredible.

16:42

I love that real-time example because to your point,

16:45

like, yeah, as an exec sponsor,

16:46

I'm gonna wanna know if they're not a happy customer,

16:48

you don't wanna come in thinking

16:50

this is gonna be an easy renewal conversation,

16:52

it turns out not to be,

16:53

but also I think about our, you know,

16:55

we do our executive reviews with customers

16:58

and being able to even use like how it bolds,

17:01

like the sections, like those are really small things,

17:02

but really useful things for me

17:04

as an end user to see things summarize

17:06

with like a headline and a quick summary at the bottom.

17:08

Is my, you know, CSMs can now use this

17:11

to change their entire presentation

17:14

that we would give to that customer?

17:15

Because I know these are issues you're having.

17:17

I can bring in the right people to the conversation,

17:19

talk about integrations or safety concerns

17:21

I'm gonna bring on some of them or a team

17:23

that can reassure you about safety and security concerns.

17:26

So I get to see so many use cases

17:28

for just that one hot in general.

17:30

I'm like, oh yeah, I would use this.

17:33

Exactly.

17:35

And that was sort of the, you know,

17:36

the sort of founding thesis was, you know,

17:39

which customer should I talk to?

17:41

When should I talk to them?

17:43

What should I say?

17:44

It's what everybody in the go-to-market team really wants

17:47

to know if you're armed with that information,

17:48

there's so many different use cases

17:50

from the CSM point of view, a seller point of view,

17:53

you know, any one of the go-to-market team, you know,

17:55

I wanna know when I, who should I talk to?

17:57

When should I talk to them?

17:59

What should I say?

18:00

And then of course, who should I say it to?

18:02

And that's where combining a lot of that first party data

18:05

with all the third party, propriety data we sit on,

18:08

yeah, that's sort of what the magic equation is bringing in,

18:12

all the signal, all this data together.

18:15

You've got this wealth of information that you can tap into.

18:18

It's been, you know, the perfect storm of like AI

18:21

is in a place right now where it can really do

18:23

some great stuff with it.

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And so it's never been a better time to put out

18:27

sort of a product like this.

18:29

Yeah.

18:31

The other one that's, you know, might be the last thing

18:34

I show you here as well is I talked to you

18:37

about the target accounts, the preparation

18:39

for these target accounts.

18:41

The other thing that we surface because we sit on

18:44

all this third party data is white space companies.

18:46

So these are, let me cancel out this right here.

18:50

These are all companies that aren't part

18:53

of your target account list, you know,

18:55

might, may or may not be in your CRM,

18:57

but they're exhibiting buying signals.

19:00

So this is all your opportunities that you may not be acting on

19:03

that you're missing out on because, you know,

19:06

you're using traditional methods of, you know,

19:08

prospecting based on losing your ICP.

19:11

I want to go after this vertical, you know,

19:13

I, you know, I'm looking at thermographic information,

19:16

but you know, they're buying signals that you're missing.

19:18

And so now you've got an opportunity to see all these counts

19:23

that are showing signals and, you know, in our, you know,

19:28

beta that we ran over 500 customers and over 20,000 users,

19:32

you know, almost half the pipeline was predicted by co-pilot,

19:37

which means they were buying signals there that, you know,

19:41

in many cases you didn't have visibility into

19:44

and you potentially would have like missed.

19:46

And that's what we're all going for,

19:47

whether we're in, from a marketing lens or sales lens,

19:50

we all want that first move or advantage.

19:53

You get to that buyer first, you get to control the narrative

19:56

and being able to have visibility in these signals

19:58

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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