Maura Rivera & Jon Miller & Jane Alexander & Alison Murdock 28 min

CMO Roundtable: The Future of Pipeline Generation


Hear from incredible marketing leaders on how they’re integrating AI into their pipeline generation strategies, their takes on how content needs to evolve to rise above the noise, and the shift in focus from paid channels to owned media and owned events.



0:00

>> Hello, everyone. We're going to have a CMO to CMO to CMO to talk up here.

0:09

Lots of

0:09

CMOs in the room. Hopefully you guys are enjoying your drinks and there's some

0:13

good content

0:14

we can all enjoy. After this, the party will officially start. I'd love to take

0:19

the AI

0:20

baton from Craig and start there. Salesforce is really branding Dreamforce as

0:25

the AI event

0:26

of the year. It's the topic that we all can't stop talking about. But what I'd

0:31

love to

0:31

learn from you guys is how are you thinking about weaving AI into your

0:35

marketing organizations?

0:37

And where are you seeing successes to kind of inspire people here how they

0:40

should be

0:41

thinking about taking it into their org? So, yeah, let's start with you,

0:44

Allison. Jane,

0:45

we'll get your mic up and running. >> Can you hear me?

0:48

>> We can hear you. >> All right. Just two days.

0:51

>> Yeah, sorry.

0:53

>> So, you know, I won't go into detail about what's happening at Lean Data

1:02

with AI. There's

1:03

some things in the works that I can't really talk about right now. I would say

1:06

generally

1:07

for the team operationally, we use AI products to become more efficient. This

1:11

is not new

1:12

news. This is like, you said it earlier, John, like if your salespeople are

1:17

still writing

1:18

content like this, it's not necessary. You can come up with it very quickly and

1:23

iterate.

1:24

But also with some of the workflows and workflow predictability, for example,

1:31

sorry, John,

1:32

referencing you again, it's like, as a salesperson, you have a meeting. You

1:35

should send a thank

1:36

you note. That kind of take the heavy mental heavy lifting out of it. We're

1:41

experimenting

1:42

a lot with that and working with sort of data science team to look at how to

1:47

improve that

1:48

and improve just sort of capacity, velocity overall. >> How about you, John,

1:55

any huge

1:55

wins with how you guys are weaving AI into your marketing org from an

1:58

efficiency standpoint?

2:00

>> Yeah, absolutely. I mean, I think this came up last session too. The reality

2:05

is AI

2:06

is not new in Go to Market. I mean, we've been using it for years to score

2:11

leads and then

2:11

to score accounts. We use it to optimize our bids for our ads. We're using it

2:17

for intent

2:18

data. That's all kind of machine learning. That's been around. What's new and I

2:24

think

2:25

why all the hype is more on the generative AI side. For that, I mean, what we

2:34

've really

2:34

seen success with and I've coached my team on is to remember that the T in GPT

2:41

stands

2:41

for transformer, not creator. I think that's a really key thing. These tools

2:49

are really

2:49

pretty mediocre at creating content, but they're extraordinary at transforming

2:55

content.

2:56

Take this article and summarize it into a LinkedIn post or rewrite the headline

3:02

for this press

3:03

release. That's where we're using it because that's what it's so, so powerful

3:07

with. And

3:08

not like just write me an article about the three ways marketers should be

3:12

using AI.

3:12

You're getting mediocre content because you haven't given it anything to work

3:16

with.

3:17

>> Yeah, the one, the prompts actually, right? I mean, this is -- and also, I

3:21

mean, I've

3:21

tried a few different times and I've looked at people's content and said that's

3:26

all jargon.

3:27

And it -- because we're training on jargon and we have a lot of jargon all over

3:32

the place.

3:33

Sorry marketers, but you really suck at writing.

3:35

>> So I'm actually really worried about automating SDR emails using this stuff

3:42

because to me,

3:43

it's pretty mediocre, which I've seen.

3:45

>> But there is. There are like Jasper and there are other ones probably that

3:50

you can

3:50

kind of plug in your brand voice and tone. And I think that's where we're going

3:54

next,

3:55

which is you can kind of dial it in to what you would say and say don't use

3:59

this. Don't

4:00

use harness the power ever. Ever?

4:03

>> I hate the -- in these ever-changing times, literally, I have a custom

4:07

instruction in my

4:08

GPT. It says don't ever say any phrase that says ever-dash, right? Because to

4:14

me, that's

4:14

an instant GPT thing.

4:16

>> So you guys are thinking about it from like an editor, not a creator

4:19

standpoint.

4:20

How about you, Jane? How are you thinking about AI to kind of transform your

4:22

marketing team?

4:24

>> Yeah. I -- we've talked a lot about how we can use it externally and we're

4:27

doing

4:28

some of that around, hey, turn this LinkedIn to a post into a better Twitter

4:33

post. Create

4:34

this content in the voice of five of my executives instead of just one. But I

4:38

think the best way

4:39

we've been using it so far is actually internal. We'll say, hey, listen, we

4:43

just had this amazing

4:44

virtual event. We had thousands of people join. Summarize this into the bullet

4:48

points

4:49

that my salespeople should be talking about it with their customers. And then I

4:52

don't

4:53

have to have someone watch the whole thing, summarize it, create bullet points.

4:57

The AI

4:57

can do that. And the salespeople can use it. So we're using a lot of that,

5:02

summarize this

5:02

blog post. What's the one thing people need to take away from it? So actually

5:06

the internal

5:06

uses have been really, really good for us.

5:09

>> Well, because as marketers, we spend half our time doing internal marketing

5:12

and the other

5:12

half doing an external. I'm curious, we're having a debate as we look to 2024

5:18

planning,

5:19

do you guys think that CMOs will have a line item in their budget for AI

5:23

experimentation

5:25

or testing as we go into 2024? Do you think they will, should they?

5:31

>> We won't. We don't have a whole lot of budget line items for experimentation

5:35

in 2024.

5:36

I think that that's almost fun though. Like the fun part of this is find value

5:42

fast.

5:43

Don't spend too much time running around trying to see what crazy solution you

5:47

could use.

5:48

>> This feels like to me at least one of these technology innovations that you

5:51

don't have

5:52

to spend a lot of time experimenting to find a valuable use case. What's

5:56

happened for us

5:57

is we bought an AI tool in order to do external content. And then because it

6:02

was so valuable,

6:03

we started using it internally. And because it was so valuable for that, we

6:06

started using

6:07

it for something else. So we didn't need a ton of that space. I don't know.

6:10

What are

6:11

you two saying?

6:12

>> I don't think there's going to be, we don't have a budget line item

6:15

specifically for it.

6:16

I actually just think, I don't know of a single vendor that is not

6:20

incorporating AI capabilities

6:22

into the platform. So I don't need a separate budget. It's already the stuff I

6:25

'm paying

6:26

for.

6:27

>> It's foundational.

6:28

>> The one thing that we have budgeted for is I basically told my team that

6:31

they can and

6:31

should go get their own GPT for premium GPT and go ahead and expense it. 20

6:38

bucks a month.

6:39

And honestly, I think that's so critical. Again, when I tell them all the time

6:43

is AI

6:43

is not going to take your job, but another marketer who knows how to use it

6:46

better than

6:46

you will. So you better make sure you're using this thing and learning it all

6:49

the time.

6:50

That's worth the 20 bucks a person a month to me.

6:53

>> Yeah. I mean, I would say I'm very similarly, and we have, I'm a big fan of

6:58

interns and

6:58

because they're smart and they move quickly and they're like, I'm already all

7:02

over that

7:02

stuff. And here are three more you should look at it. I'm like, great, go do

7:06

that. So

7:07

we, you know, and then they'll present to us what they found and the ways that

7:11

we can,

7:11

you know, improve our productivity. So, so no line on them, but just, you know,

7:16

little

7:17

$20 here, their coffee for the intern. I'm good with that.

7:21

>> Woven into everything we do. I want to kind of transition to talk about

7:25

trust. So

7:26

this has been a big topic this week, which is the trust gap with AI. There's

7:30

still a

7:30

lot to learn. A lot of us here are bringing AI products to market. Although,

7:35

John, as

7:35

you said, AI has been around for a long time. We're doing a lot of AI launches.

7:39

We talked

7:39

about what Gong's doing, what attentive's doing. AI has really woven into

7:43

everything you guys

7:44

are doing at demand base from a predictive perspective. How do you think about

7:48

building

7:49

customer trust as you bring AI products to market so that they know this is

7:53

something

7:54

that they can trust their data with and be successful with? John, I'd love to

7:58

hear from

7:59

you. >> So I really think about trust with AI on

8:01

two main dimensions. The first dimension is quality data makes quality AI. And

8:09

so, can

8:09

you trust the data that we're putting into it? So, for example, we're mining

8:18

job boards

8:19

and job postings to start to try to figure out what technologies we think a

8:23

company is

8:24

using. Right? It turns out for our technology customers, the rest of their tech

8:30

stack is

8:30

probably the number one predictor of whether that account is a good ICP fit for

8:35

our customers.

8:36

So if they're going to trust us when I say this is a great account for you,

8:41

they need

8:41

to trust that our technographic data when we say, hey, this is a company that

8:45

uses

8:46

the sales force and this is the one that uses HubSpot that we're getting that

8:49

right. Right?

8:50

So that's number one. It's just really quality data in for quality AI out. The

8:54

second thing

8:55

I think about for trust is transparency. You know, when you go to a sales rep

9:02

and say,

9:03

we think this account is hot and in market and they say why and you have to say

9:08

, well,

9:09

the AI says so? That's not very trusted. Especially when the rep knows that I

9:14

just talked

9:14

to them last week and know they're not in market. Right? Instant credibility

9:18

loss. But

9:19

when you can actually go to the AI and say, well, here are the five reasons why

9:22

we've

9:23

let this account up. You know, they've been to the website. We saw three people

9:27

show

9:27

up on the website. You know, they've downloaded this, et cetera, et cetera, et

9:31

cetera. That's

9:32

where the trust gets built kind of over time. So it's the quality of the data

9:37

and it's the

9:37

transparency. I think there's a lot to be learned there. Kind of a transition

9:42

here at

9:43

Qualified, we're focused on how can we use AI to make your website more

9:46

powerful, more

9:47

efficient, generate more pipeline. I'd love to talk about the power of the

9:50

website. Jane,

9:51

I love asking you this question because Karta has my all time favorite website.

9:55

It is clean,

9:56

it is beautiful. We look at it all the time. Tell me about the great site,

10:01

great brand.

10:02

It's the best and a lot of part of customers who are probably here right now.

10:05

But Jane,

10:06

tell me about the website and where it sits in your pipeline generation motion.

10:10

How important

10:11

is it to you guys at Karta? Yeah, well, first of all, thank you so much. The

10:14

team will be

10:15

really happy to hear that. And to any customers, thank you for being a customer

10:19

. The website

10:20

is imperative for us. I mean, all things at the end of the day point back to

10:24

the website

10:25

in some way. So we've been really grateful to be using Qualified to have really

10:29

nice engagements

10:30

when people come to the site. But without a site that's going to be compelling,

10:34

we don't

10:35

have anything that people will come to. So the first thing we think about is

10:39

what's the

10:39

most important thing that our customers are looking for when they're coming to

10:42

us? How

10:43

do we create really, really customized paths so that if you're coming to us

10:47

from a, this

10:48

happened two years ago, if you clicked on a paid ad for Karta, no matter what

10:52

the paid

10:53

ad was for, you went straight to Karta.com and just got dumped on the homepage.

10:57

That's

10:58

a horrible journey for our customers. So we're trying really hard to make it

11:01

customized,

11:02

really hard to make it personal. And now we've been focusing a lot on how we

11:06

can do conversion

11:07

optimization for the site. Our demo form is a great example. We did a lot of

11:13

work over

11:14

the last few months to be increasing the conversion on our demo forms and saw

11:19

like a 25% increase

11:21

in the last quarter and just completes. So I think many, many people are coming

11:26

to all

11:26

of your sites and pay attention to the bounce rate, pay attention to why people

11:30

might be

11:31

leaving or abandoning a form or just not finding what they need or not able to

11:35

interact with

11:36

someone that understands their pains and is going to be able to speak to them.

11:41

The website's

11:41

huge for us. Allison, we were talking about this yesterday when you were in our

11:45

office,

11:45

but we were talking about the website and we've been talking about this theme

11:50

of kind

11:51

of rented versus owned land and when do you invest in your website for other

11:55

channels?

11:57

When you came to Lean Data, one of the first things you started thinking about

12:00

was the

12:00

website. Why is that top of mind for you as a CMO?

12:05

Well, I think when I started working in Lean Data, we were rolling out a new

12:11

positioning

12:12

and so it wasn't completely executed well and a lot of it was helping our

12:18

customers

12:19

understand what revenue orchestration meant. That was a term orchestration on a

12:24

new term,

12:25

but in the Lean Data world, what does that mean? It's a very complex product

12:32

and it's

12:32

used by many people and so we had to convey not only this new positioning but

12:37

how this

12:37

thing worked. One of the things that is so powerful about qualified is when

12:43

somebody

12:44

in sales or an SDR or a BDR receives some kind of inquiry from somebody on the

12:50

website,

12:51

they'll highlight the terms that they looked at. If it's revenue orchestration,

12:56

they're

12:56

like, what is that? They may not ask you that question. It's just something you

13:01

know.

13:02

We talked about pricing the other day. Just pieces that help people buy faster.

13:10

A lot

13:10

of us in marketing, we follow practices we read about on LinkedIn. Everyone's

13:14

good,

13:15

do this, do that. So much of it is creating friction and making it harder to

13:20

buy the

13:20

product. I'm always of the mind of, let's just make it easier. Let's go from A

13:26

to B

13:26

faster and not cut through the bullshit. So back to AI for one second. If that

13:33

's my dream

13:34

is like have the AI tell me where we're getting friction and where we could be

13:39

faster because

13:40

a closed one account went this way, not this way, this way, this way, this way.

13:46

So my view.

13:49

That's great. John, what are your thoughts about brand? We're talking about

13:53

brand versus

13:53

demand. Where are you investing your time? Can you tell us a little bit about

13:57

your perspective?

13:59

>> This is kind of a favorite topic of mine these days. >> It's always got

14:04

great fan topics.

14:06

You've always got a hot take. >> Since my days at Marketo, I think I helped

14:12

to build this whole point of this is what the demand gen engine is all about.

14:17

It's about

14:18

content and making every marketing activity really highly measurable and email

14:23

and nurturing

14:24

all these concepts that we live by all day every day these days. When I talk to

14:30

other

14:30

execs and marketing folks, what I'm hearing is this consistent theme of it's

14:33

not working

14:34

as well as it used to. It seems hard. I think there's a lot of reasons why

14:38

including the

14:39

economy. I think one of the biggest factors that's really hurting us today is

14:45

marketers

14:46

is that we've rotated so heavily into highly measurable demand capture. We're

14:55

all fighting

14:57

over the same 5% of the market that happens to be looking to buy right now and

15:02

not spending

15:03

enough time and energy educating the rest of the market to both create demand

15:10

and build

15:11

our own brand. The problem is those tactics are honestly just much harder to

15:19

measure.

15:21

I think ultimately the pendulum is over rotated. We need to balance that out. I

15:27

don't want

15:28

to underestimate how hard that is because there's so much focus on making it

15:32

measurable.

15:33

Anyway, go ahead. I had an insight. We did it with another client, a secret sho

15:43

pper thing

15:43

and we had a bit of an Easter egg in a report where we found that the shopping

15:51

experience,

15:52

the buying experience for our friends when we were doing this on behalf of was

15:57

just terrible.

15:58

It's not the individual's fault. It's the process was so heavy. When you think

16:05

about

16:05

brand and demand, we forget that brand is part of that customer experience end

16:12

to end.

16:13

Think B2C. How do you find out about those amazing shoes that you want to buy?

16:20

It's

16:20

going to be a friend. It's going to be the website and content written. It

16:23

might be to

16:24

some extent, but that's going to be reinforcing a decision you may have already

16:29

made. I just

16:30

feel like we need to go back to that as marketers stop thinking about all the

16:33

technologies we

16:34

use and think about humans buying, making decisions. Right now, we're all on

16:40

the web

16:40

and we're looking and we've already made up our minds and we've said that

16:44

thousands

16:44

of times as marketers, but truly. I think it's true to be to be also. People

16:51

will do

16:51

the RFP in the buying process, but in many ways, that's justifying a decision

16:56

that they've

16:56

probably made emotionally, even if they don't know they made it. Or they have

17:00

to do it because

17:01

the person doing procurement says you've got to do an RFP, you've got to get

17:04

three bits.

17:05

That's assuming they're aware of it, but I'm saying at the reptilian level,

17:08

they don't

17:08

even necessarily know that they've already made that decision. I mean, how many

17:12

decisions

17:12

have we made as marketers if someone's like, you've got to buy qualified? That

17:16

's the only

17:16

one. Oh, okay, great. It might take a little bit more time.

17:20

But truly, I would probably be like, if that's the easiest and I can afford it,

17:24

I might do

17:25

it. I couldn't agree more. And I think you said 5% that I want to just make

17:31

sure everybody

17:32

heard that. 5% of buyers are in market to buy at any given time. The rest are

17:37

not, but

17:38

they're still out there. And we're speaking to everybody right now is if they

17:41

're ready

17:42

to buy tomorrow and there's a way for us to make us the de facto product, the

17:47

de facto

17:48

choice, when they are ready to buy so that when they come in, they can have a

17:51

smooth

17:52

buying experience. They can do that. But it requires us to leave consumer

17:56

surplus on

17:57

the table. It requires us to give more than we're taking earlier in the cycle.

18:02

And you

18:02

have to have a little bit of patience with that. I couldn't have been like...

18:06

And it's so tough in this market right now because there's such an emphasis and

18:10

we've

18:10

got to build pipeline as marketers. It's like, what is marketing done lately

18:13

for me? And

18:14

what you said is, we cannot make people decide to buy faster. That is what it

18:20

is. But we

18:21

can create a great experience for them. We can show up, differentiate, do all

18:26

the things

18:27

we're supposed to do. We just have to stay the course on that one part. And

18:32

then when

18:33

they're ready to buy, make that experience pleasurable.

18:35

I think one of the biggest challenges we as CMOs face is that a typical brand

18:42

investment

18:43

probably is going to take 18 to 24 months before it starts to really have an

18:48

impact.

18:49

We've all heard, you have to say the same message over and over and over until

18:52

you're

18:53

sick of saying it. That's when the market might finally be starting to hear you

18:55

The problem is the average CMO 10 years, two years. So any brand investments

19:02

that we do,

19:02

if we don't have that term impact, we may not live to see the impact of that.

19:10

And that's the disincentive to doing the brand investments.

19:14

Yeah. Exactly. And we've all lived this. And that's why I say stay the course.

19:22

Because if

19:22

you believe truly, we need to create a great experience for our customers.

19:26

You've got to do what's right for the company. You've got to do what's right

19:29

for the company.

19:30

But at some point, they may not want to accept that. And not this company, but

19:34

just in general.

19:35

Yeah. Well, I think this year as CMOs, we've all been forced to scrutinize

19:40

every dollar in

19:41

defender spend. But if you turned off all brand activations, stuff will start

19:47

to fall apart.

19:48

Right? There's stuff that you can see and feel like this event, money went into

19:52

it. And we know

19:53

it's going to work because we're having great experiences together. People are

19:56

networking,

19:57

but it's not a digital ad that somebody clicks on and converts. I think this

20:01

year, we've all

20:02

had to become good storytellers as CMOs and build good trust with our CFOs so

20:08

that they can understand

20:09

why you're choosing to invest in certain places. How do you guys think about

20:14

defending brand

20:15

investments to your CEO, your CFO when it's not that quick dollar that you get

20:21

on the other side?

20:22

Jane, I'd love to hear from you. Yeah. It's hard. But it doesn't mean you can

20:27

like stop trying.

20:29

It does not work or it hasn't worked for me at least to say, I know it's going

20:32

to work just trust me.

20:33

What's worked for me is to be able to dig through and find those non-perfect,

20:39

but real

20:40

indicators that show something's working. So the best case scenario for a CFO

20:44

is if your sales

20:45

team says, don't turn it off, that's great. So in my sales team is saying, that

20:50

was amazing. I

20:50

loved that. That helped me close a deal. When I have customers writing in

20:54

saying, that's where I

20:55

met you, that's what I came through, that's why I'm buying, that's amazing. So

21:00

there's some qualitative

21:01

things that you can get. And then there are some quantitative areas. If we see

21:05

in month created

21:06

and closed go up, there's a story to be told there. If we see time to close go

21:12

down, there's a story

21:13

to be told. Conversion rate, all of these things you can start to see just

21:16

through the fog a little

21:18

bit. And we do that through just cohort analysis. So we'll say if people came

21:22

to these events

21:23

versus cohorts that didn't, what's the average spend from those cohorts year on

21:28

year? And if

21:29

you start to see a difference, is it perfectly attributed in your system? No.

21:34

But you can start

21:35

to see the patterns pretty quickly. And I found that at least CFOs have loved,

21:39

our CFO loves,

21:40

that we're engaging in the process together. And we're honest, when listen,

21:44

that investment

21:45

wasn't worth it. Sorry, we wouldn't make that one again. And if you can call

21:48

both sides, it's

21:49

really helpful. That's great. I think that's the -- I kind of want to go to the

21:55

other end of the

21:56

spectrum. We've talked about brand and building brand. Here at Qualified, we're

21:59

all about pipe

22:00

gen, pipeline generation. Any pipe gen strategies that have worked really well

22:04

for you guys this

22:05

past year, we've all had to feel like from the pandemic to this being a tougher

22:09

year economically,

22:10

we've all had to rethink our strategies. What's working for you guys from a

22:16

pipe gen perspective?

22:19

I mean, I -- events. I mean, you know, my view is we had a couple of years

22:25

where nobody was doing

22:26

events. And then we had a couple of tentative, a year and a half of tentative.

22:31

Here we are. You

22:33

know, there's nothing like getting in front of a customer. And also top of

22:38

funnel, I mean,

22:39

if you're sponsoring, you're getting new leads. So we don't need to shut those

22:43

off. I think we

22:44

invest strategically in finding whether it's field events or some virtual, like

22:49

think it through,

22:50

what can your team sustain and what generates actual results at the end of the

22:55

day. But I think

22:57

that's been working better than most of the other things. Kind of down on paid

23:01

right now,

23:02

except for retargeting. But that's another story. That's where another time.

23:06

John, how about you?

23:07

I'll share three. One that -- we're just getting off the ground, but I've heard

23:11

from a lot of other

23:11

CMOs. It's not just events, but the 12-person dinner. Nine customers, nine

23:17

prospects, two

23:19

customers, one company representative. That's a very, like, definitive number,

23:23

12. Okay.

23:24

Like not bigger than that, you know, because then, you know, so that's one. For

23:29

demand based

23:30

specifically, two things that work really well in a little surprising, perhaps.

23:34

One is our

23:35

certification program. So we run an ABM certification, normally $349 to do it.

23:41

It's not about demand based, it's just how you do ABM well. But because it's

23:45

got a price of $349,

23:47

we can also promote it and say, hey, for this month, it's free. Here's a code.

23:51

And even though

23:52

it's not a demand based certification, you know, very high correlation with

23:56

people taking that

23:57

and eventually becoming a demand based customer. And the third one I'll share,

24:01

which some other

24:02

companies are doing this, but is our podcast. But like other companies, our

24:09

podcast, yeah, we

24:11

if people listen to it, right? But what we really care about is getting

24:15

potential customers as guests.

24:17

Yes. And so you like using that, we have a team in India that literally is like

24:22

SDRs,

24:23

but they're setting up podcast guests as opposed to meetings. And then the prep

24:28

call for the podcast

24:29

is like a discovery call. So that's working really well too. That's so smart.

24:33

Love it. Yeah.

24:34

Small person dinners, podcasts, your ASP has to be high enough to get it in

24:38

warranty. Sure. 100%.

24:41

The other thing that I would add that's working really well for us is in

24:45

product. We're trying to

24:46

sell, we're trying to do cross sell more and more and more and more and

24:49

probably a lot of us are.

24:51

In product work has been a phenomenal driver for us. It's right when the

24:55

customer is doing something,

24:57

you can engage with them perfectly. We even turned, if anybody's logging into

25:02

Carter.com

25:03

on web, we turn the login page into a promotional space to talk about new

25:07

products,

25:08

even just to share data that we find interesting that can be helpful. It's been

25:12

remarkable for us.

25:13

Okay. Awesome. So as we wrap up, before we know it, we're going to be in 2024,

25:19

which is crazy.

25:21

I think we all learned a lot this year as CMOs. I think it pushed us to be

25:24

creative, to rethink

25:25

our strategies. What are you guys each most excited about to lead your

25:30

marketing teams with

25:31

as we go into 2024? What are you excited about as a CMO?

25:36

Well, we're just coming off of Upstars. Yeah, we're talking about the eight

25:41

year of Upstars,

25:42

which is just, today was great. It's the only revenue operations, marketing

25:48

sales operations

25:48

event around, especially co-located or at the same time as Dreamforce. I

25:53

believe very strongly

25:55

in the power of community and then all of the things we can do with that. So I

25:59

'm really excited

26:01

about kind of doubling down on the love of having a live event. Yes, they're

26:06

back. Yeah, back,

26:07

which is great. Something I'm excited for is investing in what we're calling

26:13

demand-based insights.

26:14

So if you were listening, you heard Udi earlier talk about GONG Labs, which is

26:20

where they're

26:20

sort of mining their data and using that to produce insights that they share

26:24

about best practices.

26:25

Like when should you swear on a sales call? Or what words help you close deals?

26:28

We have so

26:29

much data demand-based about what works to help people sell and to help people

26:34

create pipeline.

26:35

So you know, mining that and producing our own best practices content is

26:39

something I'm excited for.

26:40

I think what I'm most excited for is we did a big retro on what worked best,

26:47

what didn't work,

26:48

all of this. And the things that worked best for us were the things we did

26:52

because they were

26:53

genuinely helpful for our customers, the things that were generous. We share,

26:58

we have a ton of data

26:59

part about this state of fundraising. What are people raising out? What's the

27:03

average evaluation

27:03

cap? What's happening at Series A, Series B? We just published that. It was a

27:08

huge debate.

27:09

It was a huge debate on whether we should sell it, publish it, keep it. And we

27:13

said,

27:13

let's give it, let's give it for free. It'll be helpful. We'll get signaling

27:16

either way.

27:17

That's some of the top performing stuff that we do. We do these 101 courses,

27:21

the top performing

27:22

stuff that we do. And so what I'm really excited about events that we're

27:26

working on,

27:27

same thing. They're just helpful. A pitch practice for adventure firms that are

27:30

trying to get started.

27:31

I'm excited to lead the team to say, just do the right thing by our customers.

27:37

And it sounds a

27:37

little cheesy, but it works. And now I have the data to show it. So I'm excited

27:41

to lead the team

27:42

with some generosity. That's great. I feel like there's a big theme of back to

27:46

basics. Like,

27:47

don't overthink almost. We spent this whole past year overthinking a lot. So

27:51

back to basics.

27:52

If I could tie one thing. So the theme of both of what we said is really

27:57

producing this incredibly

27:58

high valuable content and information that's based on mining our data. AI can't

28:03

do that.

28:04

That is not AI produced content. That is actually quality produced content that

28:09

can only be done.

28:10

Maybe with the help of AI analyzing it by humans. But I think that's what's

28:14

happening is it's

28:15

like elevating the bar for quality of the data. Quality of the content insights

28:21

Okay. Awesome. Well, Jane, John, Allison, thank you guys so much. Thank you for

28:25

being amazing

28:25

qualified customers. Thank you for joining us tonight. I know you guys will be

28:28

sticking around.

28:29

Everyone else, thanks for listening in. The bar will be open. We've got a photo

28:34

booth.

28:34

We've got food. So please have a great night. And thank you guys again for

28:39

coming to Pipeline Summit.

28:40

Thank you. Thank you.

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