Gabe Larsen dives into the findings of the research on what customer service technology buyers want in a pricing model.
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Welcome to our next CX Weekly Live.
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I got the one and only here, Gabe Larson,
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CMO of customer.com.
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Gabe and I go way back.
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Gabe, what's up, dude?
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- Yeah, appreciate it, man.
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This is the real, this is the right talk track, man.
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I'm passionate about this.
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I'm beginning more passionate about this topic
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by the day, actually, but I'm a big fan of the show,
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obviously.
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- Yeah.
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- I'm like, "I'm going to get on."
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So this is good.
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I'm about, as you get me on here.
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- And you've wanted to come on, and I finally got you on.
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But that's why the pricing, going into pricing,
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I thought this would be one subject that I know you love.
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First of all, Gabe, I'll be put out a pricing survey.
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We're going to go into it, but what prompted
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even just going into pricing and looking at that
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a little bit deeper?
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- Yeah, look.
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I mean, we're gearing up here at Customer,
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as you know, for big events, kind of a big relaunch.
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You know, if I quote unquote around that,
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on October 30th, and, you know,
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it's been a really interesting ride.
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I've been with Customer for a while now,
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and as we came out of a meta late last year,
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middle summer of last year, you know,
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we just had a good opportunity to start thinking about
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what and who and when and how customer wants to be
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as we move forward.
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One of the things we wanted to test the waters on
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was a pricing model, you know,
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and what people think about pricing
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and how they're feeling about it.
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And so, yeah, rather than just make some assumptions,
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if pricing should be, a different pricing model
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should be part of customer going forward,
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we thought we'd go out to the market
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and start interviewing buyers of CX technology,
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survey them, and some of the culmination of that
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is found in this report that we just pushed out last week.
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But truthfully, we've been talking about it now
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for multiple months.
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- Yeah, no, I love it.
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So if we go right into the survey here,
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let's start with like seat-based pricing.
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So it looks like this model,
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they prefer seat-based pricing historically
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and to this point, is that correct?
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And then we can talk to us a little bit about that.
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- Yeah, yeah, look, I think there, you know,
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there's an interesting line of thinking with the study.
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And we didn't know what we'd get, you know,
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you throw these out sometimes and you just are like,
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what do you think about the state of pricing
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and CX, we didn't want to bias it again,
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we were trying to understand how
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and if it should impact customer.
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And so the first big thing was, you know,
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almost 100%, about 94, 95% of people are on seat-based pricing.
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- Right.
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- You know, I kind of in my own mind,
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I think it's like 93.5 of the 200 people we interviewed.
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But in my mind, it's basically 100%.
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You got the margin of error there, something.
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So everybody's on seat-based pricing.
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And so, you know, the next obvious thought process was,
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okay, well, do you like it?
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And is that something, you know, we just are used to?
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Is that something that you think we should have
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in the past?
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And there was one quote that I just loved
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that it kind of sets up the next piece here.
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And that was, you know, I think it was a gentleman
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that said, you know, we're currently using seat-based pricing,
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but I got to admit, seat-based pricing, you know,
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in his mind was invented around the year 2000
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by none other than Salesforce.
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And then in the comments he put this comment like,
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I don't think I can say anything that I'm using
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from the year 1999.
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Why are we still using this pricing structure, you know,
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seat-based model?
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I'm totally, I'm messing up the quote.
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I probably should have that in front of me.
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But the idea was, and I think that resonated
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with most people, right?
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'Cause most people said yes, we're using seat-based pricing,
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but nearly 70% said, you know what?
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We're ready for something different, you know,
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like we're ready for change.
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And maybe it's 'cause like he said,
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what do you use it since 1999?
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- Yeah, yeah.
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So like timing could be one thing,
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but why off the top of your head now is the time of like,
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okay, I'm ready for something different.
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Like why couldn't this conversation
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after five years ago or 10 years ago?
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- Yeah, you know, I think that's a fair question.
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I mean, certainly with the introduction,
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maybe we're all thinking about this more
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because the AI revolution is, you know,
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it's here more than it's ever been.
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And so that's leaning towards just usage type stuff
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where we're thinking more about that generally.
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I think the other big thing though is the economy, right?
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And the current state of that, you could debate
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if we're good or bad, but I think the general feel
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is that a lot of businesses are having a harder time.
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And so a lot of businesses are finding themselves
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in these weird conversations that maybe they,
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they were always lingering there,
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but I don't know if they were ever as prevalent,
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you know, now and again, I'm probably not quoting
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perfectly the research, but some of these comments where
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people are like, you wouldn't believe
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how many different seat types I debate with CX vendors,
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you know, it's, I've got admin seats,
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I've got user seats, I've got view seats,
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I've got seasonal seats, I've got part time seats,
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I've got full time seats, I've got internet.
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And, you know, it's just like,
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we have all these different types,
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and we're charged for all of them,
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we don't know how many we have,
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but the truth is, business isn't perfect
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and so we're coming down.
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And we need to come down.
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And I think the haggling that these people are doing,
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you know, well, we're locked into a 10 year contract
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or you're, and trying to find out,
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I think that's maybe, if it's not number one,
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it's probably number two on why now
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are people more like, you know what?
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This is kind of silly.
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- Yeah, I mean, if you think about it, right,
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it started this simple, like it was like,
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all right, I'll take five seats.
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And like you said, I think it has been changed,
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okay, five seats, but then five admin seats,
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five seats, then five admin seats,
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two reporting seats, and it's gotten to this place
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where it's like, it's so complicated,
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where I also think that people just wanna go back to like,
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give me something simple, give me something simple,
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which leads it in.
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- Well, I was just gonna go there,
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'cause that was kind of like, hey,
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if you, you know, if you want the,
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if you're not super happy with seats,
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and again, this is not, this is all in one survey,
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but I'm actually asking it like it was consequential,
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or you know, leaving one to the other,
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but it was, if you're not happy with seats
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and you're, everybody wants something different.
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Like, what are you looking for in a pricing model?
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And we actually found that I felt like they were,
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it was almost a little bit of an oxymoron,
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like the two biggest adjectives that came out of the study
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of what people are looking for in a pricing model.
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And again, this is customer service.
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I can't say this is for everybody, you know,
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in a seat-based world, but for customer service,
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it was predictability and flexibility.
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And I was like, I don't want that opposite,
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but I was like, wait, they feel like they're not,
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you know, they have some challenges
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when you put them into the same sentence.
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And, and there went, I don't wanna say a rabbit hole,
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but some really fun comments and interactions around,
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you know, how to, how to do that,
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because there's some inherent challenges in those two words.
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- And so then walk us through the study.
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So if people were saying that, all right,
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they want predictability, they want flexibility,
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did it just lend itself to, I'll say,
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to usage-based pricing, or was it just that, like,
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they thought about usage-based pricing,
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and they was like, oh, connect the dots, yeah,
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that gives me flexibility.
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- Yeah, I guess.
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- What you found.
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- You know, we did kind of, so again, it was,
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you can get the study to get exactly what it was.
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- At the point, right, we want people to agree this.
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- Yeah, 80 plus percent said, you know,
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predictability is my number one adjective.
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You know, about 80% said flexibility,
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so that they were kind of rated the highest.
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And then we did, we kind of put different models
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in front of them.
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- Okay.
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- And it wasn't exactly predictability and flexibility,
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but we were kind of like,
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can you rate how much you like these different models?
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And so taking that one step further,
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real interesting to dive into that, right?
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I mean, seats, for example, very predictable,
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you know, mostly from like a CFO standpoint, right?
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I've signed up for 25 seats.
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I typically know how many I'm gonna be charged for.
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They locked me into a contract for three years,
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and so you get some predictability there.
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Flexibility is what I just said.
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It's like, wait a minute, I need an admin seat,
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and I just need to go down on seats,
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and I only need this view,
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or I only need it for a couple months,
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and absolutely zero on the flexibility.
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And so you start to look at some of these different models,
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and yeah, what we found was, generally speaking,
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a usage-based model with some tweaks potentially to it,
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was the only thing that could potentially get you something
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that was more predictable and more flexible,
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and what that would require is something that would say,
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like, hey, I still need to be able to lock into something
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that's, you know, again,
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'cause there was some fun comments about, like,
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I can't go to my boss on a monthly basis and say,
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I now have, you know, $10 million that I owe a vendor,
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and then the next month, $1, right?
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Like, that doesn't work,
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and now when it's crunch time in the economy,
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even more so than ever,
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we need to be managing the budgets,
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and budgets aren't daily budgets are monthly,
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typically a little longer than that.
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And so, you know, and some fun comments there,
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but ultimately as you look at that work-based pricing
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or that usage model,
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some interesting feedback about,
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hey, if there was a usage model
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that allowed me to lock into something longer term,
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so that I could look at my boss and say,
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hey, let's call it a year,
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like, I'm gonna basically stay under,
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I'm gonna go for this,
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but had some flexibility in it,
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meaning like, hey, this month I use a little more.
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That month I use a little less, you know?
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This quarter I use a little more,
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like it's got that ebb and flow capability,
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and these are all just concepts and ideas, right?
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But I definitely, you know,
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the comments and the data were lending itself to,
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people were more interested in something
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that had the predictability and flexibility,
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and their vote was definitely more,
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we believe work-based or usage,
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you know, depending on how you kind of frame it,
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could lead to that ideal state
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where those two are ultimately harmony.
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- So, and I'm sorry to do this too,
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because I'm gonna just throw a really curve ball,
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'cause I really wanna understand this, 'cause I don't,
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'cause I know you've been in this for a while,
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is there a difference between like conversations,
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and one company you're saying to pay for conversations,
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compared to pay for usage?
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Is that kind of the same thing
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and everyone's using just a different word,
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or do you see that as--
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- Yeah.
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- Yeah, yeah, look, I think that's a fun conversation.
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No. (laughs)
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- It came before.
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- Yeah, like types of usage-based scenarios, right?
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And we see those out in the market, right?
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You're gonna hear words like conversation, usage,
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you're gonna hear resolutions, tickets.
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- Yes, that too resolutions.
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- You know, I mean, there's just these different things.
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- One way, two way.
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- Yeah, yeah, you've got down type of things,
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and so, look, I think there's,
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in the survey, went pretty deep into that,
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and I won't try to ruin it all for you,
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but ultimately, as you think about these different models,
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back to predictability and flexibility,
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like which ones give you some of the best balance?
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So one that's often now talked about
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is this idea of resolutions.
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And a lot of different you'll see in the survey,
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a lot of people define resolutions different.
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The nice thing with like conversations or tickets,
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there was a little more of alignment.
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When you get to resolutions,
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it feels like it's like a Pythagorean theorem.
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You know, you got all these workflows
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of how people are defined.
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Well, what we define as a resolution
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is if it has this timing,
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and it's a completed case or a completed study,
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and the person has to give it a thumbs up,
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and, and, and, and, and, you're like, oh my goodness.
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So that word resolution can be a little bit confusing,
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but that's one that's become more prevalent out there, right?
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'Cause a lot of vendors are now saying,
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"Hey, we're gonna offer seats,
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but now we're gonna offer usage,
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and what we're gonna do on usage
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is like a resolution-based model."
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And then here's our five page,
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you know, takes a PhD to get through it.
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Oh, what a resolution is,
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and then you're gonna be charged a couple bucks,
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or Salesforce just came out, you know,
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with their, with their new AI agent model,
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and they had kind of their own definition
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of how they're gonna charge based, based on usage.
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But one of the ideas that's prevalent out there
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is seats plus, plus usage.
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So the question that was really interesting to dive into
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is what type of usage do companies want or expect?
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And again, I go back to just predictability and flexibility.
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Like, the challenge with some of these different models was,
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we're gonna start with most of them are flexible.
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'Cause if you're talking about resolutions,
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I could resolve 10 tickets this month,
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I gotta resolve 50.
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So most of them have some sort of like,
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"Hey, that's gonna have a float."
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It was the predictability that was challenging
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because people had so many different definitions
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of resolutions, for example.
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You know, one of the questions.
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- You don't know what to predict.
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- Yeah, so how well can you forecast
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your number of resolutions?
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And they're like, "Ew."
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- Right. - You know,
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really bad ability in the market right now to forecast that.
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So if I had a, let's just take that one step further.
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If I have a vendor that I'm working with,
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and they're like, "Hey, we're gonna charge you
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per resolution," and you can't know or say
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what likelihood every month you're gonna end up
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with X, Y, or Z resolutions,
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now you gotta go to your CFO and be like,
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"Oh crap." (laughs)
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Guess what?
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- We know what where we had.
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- We were way better, or AI was resolving way better,
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and I need 20 grand more, or 15 grand more.
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And we just got a real lashing in the survey.
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I'm like, "Not okay."
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Like, can't use resolutions.
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If we can't forecast it, can't predict it,
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then we really shouldn't be using that model.
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And so really, I mean, the idea that most people
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felt best about was this ticket or conversation concept.
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You know, it's like, when someone reaches out to me,
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and there's that dialogue, we typically staff on that.
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And it was something like 85% accurate,
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75% of respondents felt like they could be 85% accurate,
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or better when it came to conversations,
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whereas on resolutions, I think it was like a 32% accuracy.
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Right, so, and you could go into some of these other
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usage-based ideas, but I've just been hearing a lot
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about resolutions, so that's one that's a little more
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interesting too, we saw him comparing and contrasting those.
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But the usage is interesting,
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but the devil's in the details.
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What usage metric can people still look at
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and be like, checks the box with potential predictability,
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as well as flexibility, and a lot of organizations
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just looked at some of these metrics and said,
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"Hey, we can't realistically forecast that."
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So honestly, if someone threw it in a pricing model,
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we'd probably spit it out.
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- Yeah, I find what could be interesting going down this path
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is like having, like especially in customer service here,
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there has to be then multiple stakeholders
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at the table early on, because it just doesn't take
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then the CS manager, actually know the reverse.
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You need the CS manager in that conversation
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to understand what's the conversations like today,
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but then you need an ops person to say,
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"Oh yeah, I have the dashboards already,
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let's take a look."
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And then the finance person has to be in charge as well too.
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So I think that could be really interesting
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to see how that kind of transforms
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the decision-making process.
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- Well, you did team now.
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- Yeah, you know, we were,
16:35
certainly we were interested to understand
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who's making a lot of these,
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like where does the budget come from?
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Let's not go to who's making the decision.
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And I thought you'd find more in like
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a centralized operational budget,
16:48
but yeah, truthfully, the overwhelming majority
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was coming out of us like a defined CX or CS,
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but not right or wrong.
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I mean, I think everybody partners on this,
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but was certainly intriguing us
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to understand that part as well.
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- So then the last thing I wanna bring up Gabe is
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what you kind of brought up in the beginning,
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which is again, this AI stuff.
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And so we talked about like was AI kind of the
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ignite, like the spark to like start this conversation,
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but what came across in the survey
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of how people just are thinking about AI technology
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and then integrating that in
17:28
with their new pricing strategy.
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- Yeah, I almost forgot that.
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- I'm reading so lead with these rabbit holes around
17:37
usage based metrics that probably nobody cares about,
17:40
but me, but my goodness.
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Yeah, this was like a slap in the face,
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I think to everybody out there and look,
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you know, we kind of fall into this.
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And so it's a little bit hard to even say this.
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Again, we've been in the lab trying to cook up
17:55
something different over the past few months
17:58
based on a lot of this research actually
18:01
and much more, but yeah, long story short,
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again, it's, I think in the survey it was 90 plus percent,
18:08
but consider it close to 100 where,
18:12
I mean, people were just like, it's gotten ridiculous.
18:16
And when I say it's gotten ridiculous,
18:17
it's like add on central.
18:20
And so, you know, I buy from company XYZs seat
18:24
and I think I'm getting, I'm walking out of there
18:27
and it's, you know, $50 or $100 or whatever it might be.
18:31
By the time I see if I look at the contract a year later
18:35
or whatever, it's like to get the security and the storage
18:39
and the AI and the add-ons and the workflows
18:42
and the workforce management and the additional channels.
18:44
And I mean, we're up to, you know, just 100,
18:47
sometimes hundreds of dollars per se,
18:49
for use.
18:50
(laughs)
18:51
Now, a lot of them don't look at it like that,
18:53
but we're hearing more total costs of ownership
18:55
for some of these vendors, it's just astronomical.
18:58
But oh yeah, the seat price is still, you know, okay,
19:01
but I'm paying for like a service package
19:04
that's just astronomical, right?
19:06
But the add-ons are just endless.
19:08
And so, you know, you talk to these
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and you see those survey results,
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nearly 100% of people just said, stop with the add-on.
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Like stop, it's getting crazy, but most interesting
19:20
was AI and it's like, look, there was just one comment
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that just, it still like resonates to my soul.
19:27
You know, it's just like, how can a vendor,
19:30
and they name the vendor, but how can a vendor like X, Y,
19:32
and Z claim their AI first,
19:35
when AI is such an expensive add-on
19:37
that I know from firsthand details
19:39
that most of their customers don't even use it.
19:41
Like how can you, how can you be AI first
19:44
when no one uses it?
19:44
It's so expensive and an add-on that, again,
19:47
we just can't even adopt it because it's just a joke.
19:49
And that one, I remember being like, oh my God,
19:53
that is so true.
19:55
Like we have these vendors out here, you know,
19:59
and again, I don't wanna say we're not blameless
20:01
in some of these areas, but claiming to have AI,
20:03
claiming to be AI first,
20:05
but making it so difficult to adopt it
20:08
that I wouldn't be surprised.
20:10
Yeah, you look at some of these clientele's
20:13
and I don't know how much are they really,
20:16
are they seeing 100% adoption across their customer base
20:19
according to this client, you know, he said it's, you know,
20:21
the teens, if not less.
20:24
So long story, I get long winded here, man,
20:27
but long story short, yeah, when it comes to AI,
20:31
like if you're serious about being an AI first vendor,
20:35
just don't lie, like make it, make AI not an add-on,
20:38
make included in your package in a way that feels like,
20:43
you really are AI first, not some afterthought,
20:46
by the way, for all this extra money you can use these.
20:49
People aren't buying that, they're getting super frustrated.
20:52
And so that's the main thing when it comes to add-ons,
20:55
there's some other littler things like,
20:57
could we include some of the platform type capabilities
21:00
and start to diminish these add-ons?
21:03
'Cause again, the big message we heard is people
21:05
are looking for partners in their AI transformation,
21:10
not in their seat transformation,
21:12
not even in their CX transformation,
21:14
you know, in their AI transformation.
21:16
- And to have partners who are nickel and diming them
21:21
to then get AI, it just, they're like, no,
21:24
we don't wanna put up with that kind of, that jargon.
21:28
- Just before we end here, Gabe,
21:30
like let's be, like obviously we've been real
21:32
this whole time, but like, I feel that there's been
21:36
this question of like, ah, AI's just a feature,
21:38
yeah, I don't know if it really even works.
21:41
And the thing is like, it is working
21:45
because if it wasn't working,
21:48
then you wouldn't see these shifts of like,
21:51
oh, maybe we should restart thinking our pricing models
21:54
because if AI does its job well in customer service,
21:58
it is resolving tickets without people in seats.
22:01
And so now that that's happening,
22:04
like you see companies are just like, oh, this is an add-on,
22:07
it's working a lot, let's just like,
22:09
this add-on's gonna be super expensive,
22:11
but then it takes someone to say, okay, hold on,
22:14
we may have to look at this from first principles
22:17
because this is now starting to change,
22:19
it's just software in general.
22:20
And I think that's what we're at right now.
22:22
- Yeah, yeah, look, I think those are,
22:24
and again, combine that with the economy
22:25
and some challenges where we're all trying to do more
22:28
with less, compare those two together
22:30
and it's kind of like this perfect storm of,
22:33
we just can't be doing the same things
22:35
and expecting different results.
22:36
Like it's time for a change, but we still it.
22:39
Obviously we did the survey and we decided to publish it.
22:41
A lot of this truthfully was more like internal findings,
22:45
but we just thought it was so important for our space
22:48
and even for the competitive landscape, like, hey,
22:52
let's all focus on making this industry better
22:54
and really going to a place where we are all AI first.
22:58
And I think that'll help brands,
23:01
I think that'll ultimately help customers.
23:03
Hopefully the information is helpful for everybody.
23:05
- Well, we're gonna put the, again,
23:06
we're gonna put the link, we did that pricing survey,
23:08
we'll put the link in the comments below,
23:10
take a look at that.
23:11
There's a lot of information there
23:13
that we talked about and there's some information
23:14
that we didn't talk about like more of the usage stuff,
23:17
but, you know, Gabe, thanks, man.
23:19
I really appreciate it.
23:20
Just talk. - Oh, I appreciate it.
23:20
I'm an asset to you.
23:21
- Yeah, I'm a big fan of the show,
23:23
so I'd love to come back.
23:24
- All right, all we have to do is take our one-on-one
23:25
and just like, just record.
23:27
(laughing)
23:28
- Sure, I have it in two-thousand.
23:30
- All right, bye.
23:30
[silence]