Always Be Testing

Tye DeGrange talks with Peep Laja, CEO of Wynter (a B2B market research platform with 12 to 48 hour turnaround on real-human surveys) and a leading voice in SaaS messaging and testing. They unpack why 65% of SaaS messaging is identical across competitors, the four layers of a message that wins (clarity, relevance, value, differentiation), and why a strong offer has to come before any spend on distribution. They also cover why human research still beats synthetic AI, how AI agents may soon close $20K+ B2B deals, and why storytelling and humanness are the best defense against AI slop.



What is Always Be Testing?

Always Be Testing explores the experiments, insights, and growth stories shaping the future of affiliate and partner marketing in B2B SaaS. Hosted by industry veterans, the show dives deep into real-world lessons from the people driving measurable impact at companies like Google, HubSpot, Ramp, Webflow, G2, and beyond.

Each episode uncovers what happens when today's most innovative marketers challenge assumptions, run smarter experiments, and build programs that scale revenue through meaningful partnerships. If you’re in affiliate, partnerships, or SaaS growth — this is your front-row seat to how the best do it (and what they’ve learned along the way

(upbeat music)

Hello, hello, hello.

Welcome to another episode of

the Always Be Testing podcast.

I'm your host, Tye DeGrange,

and I've got none

other than Peep Laja today.

Peep, how are you?

Doing great, man.

Thanks for having me.

It's good to have you.

It was a pleasure to be at your

conference in the spring,

called spring, hosted by

you and your company Winter.

Looking forward to the next one.

It was our pleasure to host you.

In our city nonetheless.

Mm-hmm.

You were in Europe a bit

for the summer, is that right?

Yeah, so when, you know,

kids are out of school,

take my whole family, fly to Estonia,

you know, that's where I'm from.

And for two months, I

don't do any work, you know?

That's one of the benefits

of being a business owner,

where a lot of business owners, I think,

forget why they got into

business to begin with.

And I guess, like, if you

talk to people, you know,

it's like, "Why'd you, you know,

want to become an entrepreneur?"

It's like, "Oh, you know, freedom."

But then they're like stuck.

They're not free, you know, like,

because you carry on

with your responsibility.

Yeah, yeah, yeah.

A lot of people have

actually a hard time getting out,

so I'm always reminding myself that, yes,

the business is there

to serve my interests.

I'm not here to serve business.

I mean, I am, but not 24-7, you know?

Yeah, you're serving your clients

and your stakeholders

all throughout the year.

You can block off that summertime to-

I mean, I have a team.

It's not like the business stops working.

You know, I'm taking a pause.

The business keeps on doing the work.

It's the beauty of it.

And I tip my cap to your European roots

to maybe help you with that.

Us Americans have a

harder time, apparently,

with that, I would

think, generally speaking.

Yeah, yeah, it's true.

It's true.

Just the other day, I saw

this company, User Gems,

their CEO posting, "Oh,

when did you do something

for the first time?"

I, for the first

time, took two weeks off.

I'm like, "Excuse me,

sir, for the first time

and two weeks, and this is like..."

And he was worried if

the company would survive.

And this is, you know, I don't know

exactly how big they are,

but like tens of millions in revenue.

Multiple tens.

I'm like, "Wow."

That would be not a great look.

If you think that your

business wouldn't survive

at that size, like you've

done something really wrong,

and also like check your mind,

this is a European guy, so I don't know.

I would agree with you.

I would agree with you.

A good reminder of all the

entrepreneurs out there, too.

Maybe take a moment.

Well, for those of you who don't know,

Pep is one of the leaders, in my view,

in SaaS marketing, in

performance marketing,

thinking about

messaging, testing previously,

now market business

research, the CEO of Winter.

Tell us about what

you're building at Winter,

what you've created.

It's been quite a ride.

Yeah, well, as you said,

Winter is a B2B market research platform.

So we're a two-sided marketplace,

kind of like Airbnb, Uber.

So one side, it's B2B companies

looking to find something out,

to answer some questions.

And the other side is people with jobs,

director of this, VP of

that in different industries.

And so because we have

this two-sided marketplace,

the research, the

exchange between the two sides

happens extremely quickly.

So, you know, normal

traditional market research,

it takes time because you

need to recruit the participants,

like the respondents to

your service or whatever.

And we already have all these people.

One demand, you know?

So any market research study,

survey-based research you wanna conduct,

we know our turnaround

time is like 12 to 48 hours,

which is almost AI speed,

but this is real humans.

Amazing, the value of

humans keep coming up.

So look at us.

That's great turnaround.

Absolutely, I mean,

synthetic research, you know,

is a thing now and it's slowly growing.

But just a couple of weeks ago,

Antropic, you know, the maker of Claude,

ran their human-powered study.

You know, like you would think that if

you're an AI company,

maybe it makes sense

to just do synthetic AI

respondent research, but

no, humans are still there

because the AI, synthetic, I mean,

we can go into the discussion here,

but there are some strong

limitations there, yeah.

It's a good segue.

I mean, obviously AI is

the wave that's hitting us

so many things, it's

headlines, it's in our daily jobs.

It's obviously not

fully replacing everything

as you just noted,

and anthropic is essentially

utilizing humans, go figure.

You talked about this a

lot, like AI is not crushing

a SaaS company's ability to stand out,

but you've talked about

how it's kind of exposing

some of the SaaS brands

that you see out there.

What's like a test that

you kind of see as like

a barometer to gauge

whether a company's sort of

getting it and not

getting it in the ability

to sort of stand out when

there's a lot of copycats,

there's a lot of AI

stuff, there's a lot of slop,

there's a lot of lack of thoughtfulness

around how you're positioned and

messaging your users.

Like how do you kind of grade that

and think about that for SaaS companies?

Yeah, I mean,

differentiation and standing out

is very, very hard.

I mean, the companies who have been

around for a long time

and they're not like the

leaders in their categories,

I mean, I think HubSpot or

like whatever their category is,

they have the easy way

now that they're known,

of course, a lot of hard

work happened in the past

to get there.

So AI or no AI is the

market leaders always have

the most mental

availability is the term, right?

Like people can name a CRM HubSpot,

it's on top of mind.

For smaller brands,

which is most companies,

it's very, very different.

So the answer of like, what are we the

best in the world at

for a particular type of buyer,

for a particular use case,

like the classic positioning formula?

I'd say that's a tough one to answer.

I built this completely free tool AI,

a sameness checker.

So basically you put in

your URL and your competitors

and it will measure how much what you say

is exactly like what

they say and not verbatim,

but like the meaning.

So, the AI doesn't read like,

are you using the same exact wording,

but communicating the

same idea, the same message.

And on average in SAS,

it's like 65% of what any

company says is exactly the same.

And it's worse in some categories,

it's a little better in some categories.

It's absolutely

terrible for agencies actually.

Agencies are some of the most

undifferentiated businesses.

Because imagine, let's say you're a

LinkedIn ads company.

Yeah.

So we do LinkedIn ads, great ROI.

(laughing)

10 years in business.

You know, like everybody says that.

And it's his name.

Is it someone we've managed?

Yeah, you do SEO or

whatever, it's very hard.

So differentiation is just hard period.

Yeah, I mean, we can go into like--

I mean to come to you

for a tear down myself.

Yeah, it is.

I mean, and it's not

like us winter we score.

We also score more than 50% the same.

Some of it is unavoidable.

Let's imagine, let's say you're a CRM.

You have certain expectations

of what a CRM platform does, right?

You add context and

deals and track the pipeline.

I mean, it's the table stakes.

So every company needs to communicate

that we have the table stakes, right?

So that's automatically an overlap.

We have the basics.

So the question is, are

you leading prominently

also with something that is different?

And that different needs to be something

that is value adding

and something that the

target customer cares about.

Because you can be--

we have the most blue website,

but nobody cares about that, right?

So it needs to be meaningful.

And a lot of companies don't have that.

But any company, I believe, can get there

if this is a strategic priority.

And should it be a priority?

I think yes.

You know, at winter we run a lot of our

own original research.

And one of the studies that we do every

year is how buyers buy.

And we look at all

the different functions

marketing, engineering,

and so on and so forth.

And so what we do know is that when

companies are choosing

between vendors--

you know, I'm talking

only B2B context here--

they truly try to understand how is

vendor A different from vendor

B?

They truly try to

understand beyond the price.

Beyond the price.

And they're ready to work hard to

understand these differences.

And because they want to

make a rational decision.

They want to justify

it to their superiors,

whoever wants to know inside the company,

like how did you choose

this vendor versus another one?

You need a rationale, right?

You need the explanation.

So they try to understand.

And so, yes, the

buyers really care about it.

And also what we learned that most

websites fail at it.

I think the number was

that more than 90% of buyers,

like VPs and C-level people,

feel that every vendor looks

just like every other vendor.

That is a big problem.

Wow.

You talked a little bit

about ICP is a big focus in terms

of what winter does.

You talked a little bit

about matchmaking a SaaS brand

with the right prospect

buyer in their vertical.

You talked a little bit about meaningful.

How do you make something

mean something to the buyer?

What are some ways

that you tease that out

in the ICP, in the

conversation, in the matchmaking?

Maybe not fully, but tell us more about

your thinking on that

with the ICPs.

Like how to differentiate?

It's a little bit about that.

I think when you said

it has to be meaningful,

you think that's important.

It really jumped out at me.

And so I'm thinking to myself,

maybe how do brands find

that meaning more effectively

than they are now?

Because we know a lot of them are not.

A lot of them are sort of

swinging and missing a bit.

Absolutely.

Well, I mean, it starts with

knowing your target audience.

How do they think about

the problems you solve

or the problems your

category that you compete in solves?

And of course, not

every buyer is the same.

So you cannot satisfy all

the needs and preferences

and so on and so forth.

So for instance, let's

take to make it more tangible,

the stick market

research, like my category.

So we differentiate in

terms of that we have a focus

in terms of like who we serve.

So we're not for everyone.

We serve B2B SaaS

companies as a market segment.

And so that

immediate, and if we say that,

hey, we are for B2B SaaS companies,

then immediately B2B

SaaS companies are like,

okay, this is a

specialist for our use case.

And now within that market segment,

then of course you need to

do your own time calculations

like the segment you're going after.

Is it big enough to serve you?

Can you grow?

And then why prefer you?

We're not alone serving

that segment of the market.

We focus on the speed of delivery.

The speed of delivery

as well as the quality

of the respondents.

And so some slides of

the market will prefer,

oh yeah, like I want fancy reports

and I want beautiful presentations.

Come and present something to my board.

Like this is the wheelhouse of like huge

market research agents.

I've seen that.

And you know, like this to

come with a polished deck

and seasoned presenters

and it will cost accordingly.

You'll pay hundreds of thousands of

dollars for a study.

But it will take a long time.

You know, it will take

anywhere from like minimum six weeks

to like up to three months to do a study

and get the nice presentation.

So we don't serve that market.

You know, so people who want,

well buyers who want that,

they go to somebody else.

We serve the market who care about,

oh shit, like should

we launch our campaign

or the new website or the

new landing page next week?

Should we launch it

like this or like that?

And we are like, okay,

you need to make a decision.

Like we can get you that

answer really, really quickly.

So you can just keep on shipping, right?

So you wanna

understand how people decide,

how the buyers decide and some,

there's certain things that they value,

speed or quality or the

polish or do everything for me

and I don't do anything.

You know, there might

be many, many things.

Yeah, that's super interesting.

So I would start with

a segment of the market

because like you cannot serve everybody.

Like let's be honest, right?

And then that slice of the market

that you wanna serve,

what matters to them?

And it's, you know, there

are many different things

and you cannot be all

those things you gotta pick.

Like, and how you pick is like,

can we actually be better or the best

at this competitive

advantage, this capability?

And how do you know

whether we care about or not is,

I mean, it's quality research.

It's interviews, it's

sales call transcripts

and it's service.

So it's your customer research,

but more importantly,

target customer research

because most of the future revenues

will come from future customers.

Yeah, absolutely.

It resonates with me as

we've evolved and matured

as a business for quite a

while over the last 12 years.

And for us to hone in on

SaaS over the last, you know,

five years now and really

double down on that market

as we think about,

we're also matchmaking,

just like you

mentioned, we're matchmaking

between SaaS brands and partners

and review sites and creators.

And for us, it's very,

very focused on ICPs as well.

So the depth that we go

on that is really critical

just like it is for you guys.

So I think this came up

in spring at the conference

and it was such a great conference,

a lot of good debate conversation.

People, what are some

things that you feel are the,

maybe the spicier

takes that are sort of like

just noise on LinkedIn

versus where do you think

the SaaS leaders need to be focused on

and the smart

operators should be focused on?

Because there's a lot

of things that I think

are being shared that are

like, okay, thanks for that.

But curious to know if there are,

how do you kind of think

about maybe some things

that are a bit noisier

versus some of the things

that SaaS operators

are kind of honing in on

that are very critical to their business?

A lot of founders are

overly focused on distribution.

How can we scale the ads

and how can we get more SEO,

traffic, things like that?

Whereas if you haven't nailed a

differentiated offer,

none of that's gonna really matter.

I mean, because PPC is

very expensive, right?

And standing out on

organic social, very difficult.

You know, so the distribution,

I mean, I'm not saying that distribution

is not a challenge, it

is a very big challenge.

But before you worry about distribution,

you wanna know that you have

an offer that is compelling.

And a compelling offer

is once they hear it,

they're like, oh, well, how does it work?

Or like, tell me more.

You know, like it creates some curiosity

and it stands out.

And it might be a point of view based,

like back in the day when Chris Walker,

a refined labs was like making waves.

He was like, hey marketers,

the way you've been

doing marketing is wrong.

Like lead gen is bullshit.

It's all about demand gen.

And this was before people

really knew what that was.

And then, oh, well,

what's the demand gen?

How do you do that?

You know, like it was a

message that stood out

and created curiosity.

So, but if you're like,

hey, we'll send you more leads.

You want 40 more demos next week?

Like, you know, our inboxes are filled

with this appointment

setting, you know, cold emails.

I mean, do I actually

want 40 more demos next week?

Hell yeah, I want it.

But that message will

not resonate to get through

because we've all been burned.

Just the other day, I was

speaking to a new AI company.

The problem they're

solving is shadow AI, you know,

like where AI is kind of like not allowed

or there's a big restriction.

So people have the personal chat,

chat, GPT subscription or whatever,

and they upload all the

company shit in there,

even though they're not

supposed to, you know?

And so they went to

market with a message,

one AI for your whole company.

So, you know, so people

wouldn't use their own AI.

And some looking at this message,

one AI for your whole company,

one account for your whole company.

Isn't that how chat, GPT

team account works and Claude?

It's like that message basically

is not, it's like, it's more of the same.

Even though your product

maybe is solving a real problem,

the good market message is like,

would not, you know, imagine now spending

tens of thousands of dollars

running ads with that message.

So you got to nail that

offer and positioning first.

And how do you know you have nailed one?

I mean, there are many,

many different ways, you know,

like you do message testing where

you basically can

score how well it resonates

and how many ICPs want

to learn more about it.

And I mean, in real go-to-market,

you pitch it in sales calls and so on,

which is a more accurate

but much slower way to learn,

you know, like actually

going to market with the message.

You might burn tens of thousands of

dollars or more, you know?

So the, but the quality research upfront

is actually the faster

and cheaper way to do it.

Yeah.

And is that the move for you guys

when you take a look at a

brand that is basically,

you know, coming out,

flat if you will, and

saying something that is

not standing out or not resonating,

how do you think about the

process of diagnosing that?

How do you suggest it?

It's that market research, there's the

qualitative research.

What's kind of that, the

steps that you think about

either before, during, or after the

qualitative research

to go, okay, how do you

land on a better value prop

or a better hero message?

Yeah, well, the message that, you know,

the old school idea of the big idea,

what's the big idea?

You know, you need to be

able to verbalize that.

And your overall

company messaging and the way,

you know, what is messaging?

It's like three to maybe five key ideas.

You want the market to know about you.

Like what is it that

you want to communicate?

And there are layers to this, you know,

like layer one is clarity,

like it needs to be an

understandable message

because in B2B, you know,

we tend to use too many

buzzwords and jargon, you know,

so can we actually

understand what does this mean?

Seems like obvious, but

like so many companies

don't even pass that bar.

And then it's relevance.

Like, is it for me?

You know, like when I read that message,

does it say, hey, you know,

we are for a market research companies

or like marketplaces

like, oh, it's for me.

So the readers gotta

understand this for them.

It doesn't need to be about what you do,

but the problems you

have, like relevance,

it can be created in many, many ways.

And so once I believe

that this is for me,

I might want to keep

reading, I understand it.

It's for me, I understand it's for me.

And then we get to the value.

And the value really asks

the question, do I want it?

Like, oh, this is interesting.

Like, I want that, you know?

So it makes us some sort of a promise

of value to be delivered.

And then the fourth layer

is then differentiation.

Because like, if it's, you know,

I'm using HubSpot as my CRM,

it's like, hey, store all your, you know,

customer data in a database.

I'm like, well, yeah, that's needed,

but I already have one, I have it.

You know, like, that's not a, you know,

so like you gotta be also, you're

replacing something, right?

You're either replacing an

existing thing I'm doing,

like a tool I'm using or a process,

or you're replacing my

current way, you know,

I'm doing it the old fashioned way,

and you have a better way

of doing things, you know?

So you gotta spell it out,

then why you over something else.

So that's the lens you should have.

And that's what message

testing then, as a methodology,

that's how much you score

each of these dimensions

separately and then you get the data back

and it's, you know, it's open-ended data.

You learn what's missing in clarity,

you learn what's missing in value,

or you might not learn how

to make it more valuable.

Your message will increase the value,

but like you'll learn

that current messages,

they don't perceive

you as valuable enough.

So it's like, "Hmm, how else?"

So I'm not, the data you get back

is not telling you what to do,

it's telling you how the

existing message is working.

So it's not replacing human thinking.

Which one's the most

common trap in your opinion

out of those four?

Well, with the differentiation layer,

most companies fail

completely at that one,

because if you take an average P2B site,

they don't mention a single

thing about the competition.

So most companies are

talking about themselves

as if they are the only

one doing what they're doing.

You know, so, say like

in my sameness study,

we did a sameness study,

we analyzed, you know,

like top 200 categories in G2

and looked at the top 10

players in each category.

And what we learned, like the most,

the category with the most

sameness is email marketing,

you know, so mature category,

everybody uses email marketing, right?

It's a huge market.

So, but like, if you

look at like MailChimp

and you know, companies like that,

they all say the same shit.

Send emails, increase open rates,

or track open rates,

track click rates, you know,

like personalized segments,

you know, like table stakes,

like everybody does those things.

And that's it, sign up.

Like what?

It's, yeah, so you got the YSH,

for mature categories, you

know, like email marketing,

people already buy the value.

Like I don't need to explain why you

should do email marketing,

everybody already knows.

For a newer category, you do

need to also sell the idea,

like why you should be

doing this in the beginning,

in the first place, you know?

So really depends on the

maturity of the category as well.

You know, like a lot

of agencies, you know,

agency world is in flux

because of AI, you know,

some agencies are like

tanking and some are thanks to AI

or flourishing,

especially those doing the GEO

or whatever you want to call it, you

know, like new wind.

And then a lot of, I've

seen a lot of agencies

try a new value prop.

And like I've seen like,

hey, we help you build

your company brain, okay?

But like how many buyers

know what that is, right?

And so, I mean, if you're

like AI-pilled, you know,

you know what that is like.

And, but if you're not,

this might be the first

time you ever come across

that language, build

your company brain and like,

never heard of it,

then why do I need that?

And then you need to

explain how it is and why it works

and how's it, yeah.

So you always gotta take

that into account as well.

I can see why you have such demand

because I just, I could not agree more

that the amount of companies that don't,

they're not doing those

things is extremely high.

For those that are doing those things

and you get into the

research and you realize,

oh wow, this isn't so much

of a messaging issue perhaps.

What do you kind of find is,

are some of the

blockers, are some of the issues?

If in fact you find that

maybe they're nine out of 10

in each of those

categories or even 10 out of 10

or doing them better than maybe expected.

Like what, are there times

when something else arises

as more of an issue based

on you've had so many reps

and experiences across so many brands.

To paraphrase this, are you asking like,

which of these layers

is hardest to nail or?

When you dig in, you find

out messaging is not the issue.

What usually is the issue for a SaaS

brand and their growth?

If messaging is not the issue,

meaning that you have a

message that people are like,

oh yeah, that's interesting.

Well then odds are that you

have a distribution issue.

Then it's about getting it

out there in whatever ways,

which is also difficult and expensive.

But if your offer--

We can help with that.

Yeah, if your offer converts better

than the competitors offer,

essentially you can

afford to run more ads

or you get a better

ROI on your ads, right?

Because your thing converts better.

I may have some people to send you.

It's often that we have

conversations with individuals

that would benefit

massively from that learning

and that real messaging assessment.

And then it's time to

really push the go to market

even further to your point.

Because you could save significant

dollars in that way.

What are you excited

about for what's next?

What do you think?

I know a lot of it, you're

getting back into things,

that you're back in Austin.

What are you most excited

about to wrap up the year

and looking ahead?

I mean, for

businesses, I'm driving growth

like anyone else here.

Yeah, I mean, I'm excited

about all kinds of things AI.

I'm not in the doom and gloom camp.

And I'm also--

We don't know how it's

going to all work out.

All these chips up in the air.

This truly is like

we're really in early stages

of with all of this stuff.

And yes, a bunch of businesses are going

to go out of business.

It's a fact.

And some things get

more relevant over time

and some get less relevant.

I mean, change is

tailored as time, right?

We ran this-- we do a

weekly webinar at winter.

And last week, we ran on--

I had a topic on how do

you build product marketing,

like an OS inside a

company essentially is like--

if you have a team of

100 product marketers

and they need all to

produce text and whatever

in a content assets that

are on brand, on message,

so there's no deviation.

And basically, how to use cloth for that.

Project files for

context and their skills,

and et cetera, et cetera, et cetera.

And this was one of the

most successful events

of--

I mean, maybe the most

successful event of this year.

And when I posted a summary of the

webinar on LinkedIn,

it really resonated.

They got so many connection requests.

And this is a really basic use of AI.

It's like project and skills,

like prompt level usage of AI,

which I think if you're

just prompting the AI,

you're a very low level AI user still,

which is what most people are.

Because there's-- but the

fact that this webinar was so

successful just shows me

like so many people or companies

are still struggling

with the basics of how do we

make this thing useful for us beyond AI

answering your

questions really fast, right?

We'll drop a link to the

webinar in the comments

because that sounds like a killer.

Yeah, and then there's other things

that we want to think

about for the future.

And we don't know the answers to,

but we want to start maybe

doing some scenario building,

like for instance, OK, AI is the worst

it's ever going to be,

right?

It's only going to get better.

And there's talk about

AI agents buying stuff

instead of humans.

And right now, it seems

like kind of far fetched.

Like, I mean, people will buy

stuff, and especially in B2B,

things cost thousands,

tens of thousands, hundreds

of thousands of dollars.

So do we see a future where

a $20K a year deal is done

by an AI agent?

And I think it's not

actually that distant of a future

if you think about it.

So there's an overall

trend of how we humans

want to avoid humans.

We don't go in the supermarket.

We order grocery delivery, right?

We don't call to--

we want to get food delivered home.

We used to call a

restaurant for a pickup order.

We don't want to do that.

We'd do that with DoorDash, Uber Eats.

We prefer to text over calls.

We don't pick up calls from strangers.

Whereas in like when

you and I were young,

and then the landline

phone rang at the house.

Somebody's calling me.

Pick up the phone.

Who's first?

Pick up the phone.

Now it's like, holy

shit, somebody's calling me.

There's an increased trend of humans.

They want to avoid human interaction.

If there's a--

I'm looking at a vendor

website that they don't have pricing.

Call for pricing.

Fuck, I'm not going to

call for pricing, right?

And if there's like an

anonymous way through a live chat

or something to figure

out how much something--

I want to use that route.

I don't want to get on a

high-pressure sales situation.

And look at teenagers, right?

They're just on their phone.

Even when teenagers are hanging out,

they're on their phones at the same time.

It's kind of weird.

So there's a

generational behavior shift as well.

So all these signs like--

and then of course, like

ordering grocery delivery

is not same as buying a

five-figure SaaS deal.

But it's a part of the

bigger story, I think.

It's a fragment of a bigger story.

And so if an AI agent is

also told to be frugal,

and there are set

parameters, you cannot decide

if it's over this, or whatever.

And my AI agent is

negotiating with your AI agent.

And let's say I'm the

buyer and you're the seller.

Your agent has rules about the discount

and what you can give away.

And my agent has rules

about ask for a discount.

And so they negotiate, right?

And then my agent also talks to other

alternative vendors,

right?

We have well-defined,

like what do we need?

And so checks--

so I think it's coming.

I think $20,000, $100,000 a year deals

are going to be made by--

without human involvement.

Yeah, that's crazy.

I think that's fair.

I saw a recent post talking

about how the customer service

inbound is going to

be exploded with volume

and probably has already seen

it with the rise of instinct

in various agent tooling

that have risen with AI already.

And I think that's absolutely real.

I think for what we do as a counter,

it's so much a relationship that I

think you're going to see

agents do a lot of the pushing

and negotiating and gathering of data.

But I think there's still going to be

this type of a conversation, obviously.

But you're right.

I think-- and the trends are crazy.

I see some little glimmers

of hope where, if I dare say,

or younger generation

are starting to go, OK,

I'm going to put down the smartphone.

I'm going to go and interact with people.

But there's a massive

amount of volume and trend

towards what you're describing.

And I would not be surprised.

I mean, for every movement,

there's a counter movement

as well.

I mean, I see some young

people are very anti-AI.

But they're still addicted

to social media and shit.

[LAUGHTER]

Yeah, exactly.

Exactly.

This has been amazing.

You're dropping knowledge and helping

and kind of educating this community.

I'm excited about our next conference.

You've seen so many

good people come through.

You've seen so many good

keynote speakers and little groups

and workshops.

And what are some nuggets you can drop

that was like, whoa,

that speaker just absolutely ripped.

I associate that with you from our

experience in Austin,

which was a great

venue for winter or spring,

which I tend to be at again.

Is there something that you

recall from some of the past

that you're just like,

wow, that was amazing

to share with the group?

Yeah, I mean, as we

think about, let's say,

content and messaging and the rise of AI

and how easy it is now

to produce content, right?

We see AI slop on

LinkedIn and the comment spam

and all that stuff.

So in our minds, they're getting trained

to really figure out

what was AI and what was not.

We're learning the patterns.

Even if we can't articulate

really well, why is this AI?

This looks like AI.

So this is happening.

So what we're looking for or

yearning for is this humanness.

So if you pay attention to what content

marketing people are--

what trends are is that--

I mean, it's no news,

but short form of video,

that's the format where you put

personality into it, right?

And with video, it's so

much easier to do personality

or show your personality

than text posts to LinkedIn,

where it's competing against AI slop

and people are always like, is this AI?

And so at the spring conference, we

had a big storytelling workshop.

And in that

storytelling workshop, the key idea

is that every good story

is about transformation.

I was like this and now I'm like that.

It used to be like this

and now it's like that.

There's some sort of a change.

And there's a moment that led to the

change and realization

and things like that.

And also a tidbit that stuck with me

is that every story is so much better

if you add some personal touch to it.

So you're not talking

about a bigger industry trend.

Like, oh, most people are

doing grocery deliveries.

You talk about your story of--

put yourself into the

story, like how wise.

But if you do that

and then what happened,

then I used to believe

this and I would believe that.

So I think that is the

future, kind of like where

if AI content is on the rise and we're

already no stopping,

then we need to really lean

into the human personal side

marketing or everything.

Yeah.

Yeah.

And I think you've done

an amazing job at that

throughout your career.

You've dropped so much

learnings and knowledge.

And that's really the inspiration

for this conversation for the pod.

Your survey data is very much aligned

with how we think in our organization

and how we can help you with that.

And I think that's just appreciated.

And I love the

conversation, the back and forth.

And obviously excited to see you in

Austin hopefully soon,

hopefully at the

conference coming up in the spring,

maybe before that.

But yeah, I appreciate you.

Where can people connect

and find you and learn more

if they want to

inquire and connect with you?

Yeah, I guess I'm most active on

LinkedIn, so look me up.

There you go.

And definitely check out

Spring Winter Conference,

which is what in March of 2027?

Is that right?

Yeah, coming up next March, yes.

Awesome.

And you'll be at CXL

conference coming up in October?

Yeah, now it's called The Circus.

So if you Google Circus

Austin, yeah, October 20, 2021

in Austin, Texas for it.

If you're into AI and experimentation,

that's the place to be.

Beautiful.

Tapp, it's always a pleasure.

Appreciate you coming on.

And we'll talk to you soon, man.

Thanks, Ty.

Thanks, everybody.

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