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CX Weekly Live: Usage Pricing vs. Seat-Based Pricing


Gabe Larsen dives into the findings of the research on what customer service technology buyers want in a pricing model.



0:00

Welcome to our next CX Weekly Live.

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I got the one and only here, Gabe Larson,

0:05

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,

0:22

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.

0:32

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.

0:38

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

0:47

a little bit deeper?

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- Yeah, look.

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I mean, we're gearing up here at Customer,

0:51

as you know, for big events, kind of a big relaunch.

0:54

You know, if I quote unquote around that,

0:57

on October 30th, and, you know,

1:00

it's been a really interesting ride.

1:02

I've been with Customer for a while now,

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and as we came out of a meta late last year,

1:08

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

1:16

as we move forward.

1:18

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

1:38

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,

1:46

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.

1:56

- Yeah, no, I love it.

1:57

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.

2:14

- Yeah, yeah, look, I think there, you know,

2:16

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.

2:38

- Right.

2:39

- 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

3:06

in the past?

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And there was one quote that I just loved

3:10

that it kind of sets up the next piece here.

3:12

And that was, you know, I think it was a gentleman

3:15

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.

3:46

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?

3:59

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.

4:27

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

4:44

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

5:15

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,

6:40

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.

7:41

- And so then walk us through the study.

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So if people were saying that, all right,

7:45

they want predictability, they want flexibility,

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did it just lend itself to, I'll say,

7:51

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,

7:58

that gives me flexibility.

8:00

- Yeah, I guess.

8:01

- 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.

8:23

- 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?

8:35

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.

8:50

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,

9:00

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,

9:11

a usage-based model with some tweaks potentially to it,

9:16

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

9:29

that's, you know, again,

9:31

'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,

9:44

and then the next month, $1, right?

9:46

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,

9:55

typically a little longer than that.

9:58

And so, you know, and some fun comments there,

10:01

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,

10:07

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,

10:20

I'm gonna go for this,

10:21

but had some flexibility in it,

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meaning like, hey, this month I use a little more.

10:30

That month I use a little less, you know?

10:32

This quarter I use a little more,

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like it's got that ebb and flow capability,

10:36

and these are all just concepts and ideas, right?

10:39

But I definitely, you know,

10:42

the comments and the data were lending itself to,

10:45

people were more interested in something

10:48

that had the predictability and flexibility,

10:49

and their vote was definitely more,

10:52

we believe work-based or usage,

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you know, depending on how you kind of frame it,

10:57

could lead to that ideal state

11:00

where those two are ultimately harmony.

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- So, and I'm sorry to do this too,

11:05

because I'm gonna just throw a really curve ball,

11:07

'cause I really wanna understand this, 'cause I don't,

11:09

'cause I know you've been in this for a while,

11:11

is there a difference between like conversations,

11:15

and one company you're saying to pay for conversations,

11:18

compared to pay for usage?

11:20

Is that kind of the same thing

11:21

and everyone's using just a different word,

11:23

or do you see that as--

11:25

- Yeah.

11:25

- Yeah, yeah, look, I think that's a fun conversation.

11:30

No. (laughs)

11:31

- It came before.

11:32

- Yeah, like types of usage-based scenarios, right?

11:37

And we see those out in the market, right?

11:40

You're gonna hear words like conversation, usage,

11:42

you're gonna hear resolutions, tickets.

11:45

- Yes, that too resolutions.

11:46

- You know, I mean, there's just these different things.

11:48

- One way, two way.

11:50

- Yeah, yeah, you've got down type of things,

11:52

and so, look, I think there's,

11:56

in the survey, went pretty deep into that,

11:58

and I won't try to ruin it all for you,

12:00

but ultimately, as you think about these different models,

12:05

back to predictability and flexibility,

12:06

like which ones give you some of the best balance?

12:09

So one that's often now talked about

12:11

is this idea of resolutions.

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And a lot of different you'll see in the survey,

12:15

a lot of people define resolutions different.

12:17

The nice thing with like conversations or tickets,

12:20

there was a little more of alignment.

12:22

When you get to resolutions,

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it feels like it's like a Pythagorean theorem.

12:26

You know, you got all these workflows

12:28

of how people are defined.

12:29

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,

12:35

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.

12:40

So that word resolution can be a little bit confusing,

12:43

but that's one that's become more prevalent out there, right?

12:46

'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."

12:54

And then here's our five page,

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you know, takes a PhD to get through it.

12:59

Oh, what a resolution is,

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and then you're gonna be charged a couple bucks,

13:03

or Salesforce just came out, you know,

13:05

with their, with their new AI agent model,

13:08

and they had kind of their own definition

13:10

of how they're gonna charge based, based on usage.

13:12

But one of the ideas that's prevalent out there

13:14

is seats plus, plus usage.

13:17

So the question that was really interesting to dive into

13:19

is what type of usage do companies want or expect?

13:24

And again, I go back to just predictability and flexibility.

13:28

Like, the challenge with some of these different models was,

13:33

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,

13:39

I gotta resolve 50.

13:41

So most of them have some sort of like,

13:42

"Hey, that's gonna have a float."

13:44

It was the predictability that was challenging

13:46

because people had so many different definitions

13:48

of resolutions, for example.

13:50

You know, one of the questions.

13:51

- You don't know what to predict.

13:52

- Yeah, so how well can you forecast

13:53

your number of resolutions?

13:55

And they're like, "Ew."

13:57

- Right. - You know,

13:58

really bad ability in the market right now to forecast that.

14:02

So if I had a, let's just take that one step further.

14:05

If I have a vendor that I'm working with,

14:08

and they're like, "Hey, we're gonna charge you

14:09

per resolution," and you can't know or say

14:14

what likelihood every month you're gonna end up

14:17

with X, Y, or Z resolutions,

14:21

now you gotta go to your CFO and be like,

14:22

"Oh crap." (laughs)

14:24

Guess what?

14:25

- We know what where we had.

14:26

- We were way better, or AI was resolving way better,

14:29

and I need 20 grand more, or 15 grand more.

14:32

And we just got a real lashing in the survey.

14:36

I'm like, "Not okay."

14:38

Like, can't use resolutions.

14:40

If we can't forecast it, can't predict it,

14:43

then we really shouldn't be using that model.

14:45

And so really, I mean, the idea that most people

14:49

felt best about was this ticket or conversation concept.

14:53

You know, it's like, when someone reaches out to me,

14:56

and there's that dialogue, we typically staff on that.

15:01

And it was something like 85% accurate,

15:06

75% of respondents felt like they could be 85% accurate,

15:12

or better when it came to conversations,

15:15

whereas on resolutions, I think it was like a 32% accuracy.

15:19

Right, so, and you could go into some of these other

15:21

usage-based ideas, but I've just been hearing a lot

15:25

about resolutions, so that's one that's a little more

15:27

interesting too, we saw him comparing and contrasting those.

15:29

But the usage is interesting,

15:33

but the devil's in the details.

15:35

What usage metric can people still look at

15:39

and be like, checks the box with potential predictability,

15:42

as well as flexibility, and a lot of organizations

15:45

just looked at some of these metrics and said,

15:46

"Hey, we can't realistically forecast that."

15:51

So honestly, if someone threw it in a pricing model,

15:57

we'd probably spit it out.

15:59

- Yeah, I find what could be interesting going down this path

16:02

is like having, like especially in customer service here,

16:06

there has to be then multiple stakeholders

16:08

at the table early on, because it just doesn't take

16:11

then the CS manager, actually know the reverse.

16:15

You need the CS manager in that conversation

16:16

to understand what's the conversations like today,

16:20

but then you need an ops person to say,

16:21

"Oh yeah, I have the dashboards already,

16:23

let's take a look."

16:23

And then the finance person has to be in charge as well too.

16:26

So I think that could be really interesting

16:27

to see how that kind of transforms

16:30

the decision-making process.

16:31

- Well, you did team now.

16:32

- Yeah, you know, we were,

16:35

certainly we were interested to understand

16:36

who's making a lot of these,

16:38

like where does the budget come from?

16:40

Let's not go to who's making the decision.

16:41

And I thought you'd find more in like

16:45

a centralized operational budget,

16:48

but yeah, truthfully, the overwhelming majority

16:50

was coming out of us like a defined CX or CS,

16:54

but not right or wrong.

16:55

I mean, I think everybody partners on this,

16:57

but was certainly intriguing us

17:00

to understand that part as well.

17:02

- So then the last thing I wanna bring up Gabe is

17:05

what you kind of brought up in the beginning,

17:09

which is again, this AI stuff.

17:11

And so we talked about like was AI kind of the

17:15

ignite, like the spark to like start this conversation,

17:20

but what came across in the survey

17:23

of how people just are thinking about AI technology

17:26

and then integrating that in

17:28

with their new pricing strategy.

17:30

- Yeah, I almost forgot that.

17:32

- 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.

17:43

Yeah, this was like a slap in the face,

17:46

I think to everybody out there and look,

17:49

you know, we kind of fall into this.

17:50

And so it's a little bit hard to even say this.

17:53

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,

18:04

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

19:10

and you see those survey results,

19:13

nearly 100% of people just said, stop with the add-on.

19:16

Like stop, it's getting crazy, but most interesting

19:20

was AI and it's like, look, there was just one comment

19:24

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]