David Brutman, Co-founder & Chief Product Officer at Folloze, shows us how Folloze AI can help GTM teams 5x campaign outcomes and save money on ABM initiatives.
0:00
[MUSIC]
0:04
>> Now look everyone and welcome to Go-Market AI,
0:07
the future of the Go-Market Tech Stack.
0:09
I'm your host Sarah McConnell.
0:11
These days it seems like every company has AI,
0:13
but on this show, we want to go level deeper so you can see
0:16
firsthand how businesses are actually applying AI to solve your business
0:20
challenges.
0:20
We're going deep into the use cases and showing you
0:23
live demos of the latest and greatest in AI.
0:25
Today, I'm so excited to have David Bruteman,
0:28
co-founder and chief product officer at follows on the show.
0:31
David, welcome.
0:33
>> Well, thank you for having me Sarah.
0:35
I'm really excited to show you the latest innovations of AI and follows.
0:39
>> Perfect. So before we get going in the demo,
0:41
which I know everyone's excited to see,
0:43
I would love to learn a little bit more about who is follows,
0:45
what do you guys do and who are you helping?
0:48
>> Sure. Follows is a no-code digital experience platform that
0:52
powers personalized buyer journeys.
0:54
We help B2B brands to generate and develop pipeline,
0:58
by engaging their buyers through the entire lifecycle.
1:02
So typical use cases would be ABX programs,
1:05
field marketing campaigns, targeted demand and sales development and enablement
1:11
deal rooms and more.
1:13
Our customers are B2B brands from smaller companies to tens of
1:17
Fortune 500 companies and our users are typically coming from ABM teams,
1:23
demand teams, field marketing teams,
1:25
but also from sales teams in SDRT.
1:28
>> Amazing. Okay. So with that being said, David,
1:31
I would love to jump over in the demo.
1:33
I really love the concept of follows.
1:35
I know a lot of people be being on the demand-gen side.
1:38
I've heard a lot about you guys for like ABM programs and ABX programs,
1:41
but I haven't seen your guys's AI initiative.
1:44
So I'm excited to jump into the demo and see what you guys are doing.
1:47
>> Absolutely. So maybe just to contextualize a little bit,
1:51
our strategy around the AI.
1:53
AI has been here for years and even more accelerated,
1:58
since the introduction of OpenAI and Chad GPT.
2:01
I think now really what customers are looking for is business outcomes for me.
2:06
So we really injected AI into the different modules of our platform.
2:11
We think about the business value through three angles.
2:13
One is what are the marketers outcomes?
2:16
How do we help marketers be faster,
2:19
increase the outcome and the quality of their work?
2:23
And it is essentially be able to deliver the best experience to customers.
2:28
Then the second one is how do we make the actual engagement of buyers better?
2:32
By recommending better content, by making it more smooth and
2:36
adjusted and contextualized experience for them.
2:41
And then the third piece is understanding customers.
2:44
Really the ability to collect all the data and
2:46
understand behavior, intent, the flow.
2:51
And really based on that, take action.
2:54
So these are kind of the three business values that we think through.
3:01
And for each one of them, we actually have a product line that we've developed.
3:06
So the first one is really around generator AI.
3:09
So this is the ability to generate boards on the fly very quickly.
3:14
You're going to see it today.
3:15
It's very exciting.
3:16
It helps marketers be agile, be quick.
3:21
And really levels up levels, the quality of the outcomes for all marketers.
3:26
The second one is around content recommendation and
3:29
tagging that allows us to essentially present content that is recommended for
3:35
the buyer, for the intended they've shown, for the behavior that they've
3:40
performed.
3:41
And this is all based on smart tagging of content and behavior.
3:46
And then the third piece is intent AI, which is in the works.
3:51
And this is really understanding the first party or
3:54
first level interaction intent of buyers and
3:59
be able to drive their journey forward in the most effective way.
4:02
Does it make sense?
4:03
>> Yeah, I'm really excited to see this.
4:04
Particularly, generator AI isn't treating because we always hear AI is going to
4:09
make marketers jobs easier and faster.
4:12
And so it's hard to understand how it's always good to see it come to life in
4:16
the use cases.
4:16
So I'm excited to see you build a board using generator AI because I can
4:20
understand where that's going to help save me as a marketer a lot of time.
4:24
So I'm excited to jump into it.
4:25
>> Let's do it.
4:26
Okay, so for those of you who don't know what follows is,
4:30
this is a follows board, it's a microsite, it's just an example.
4:33
Where you can actually present messaging, content, experience, and
4:38
really build journeys that are highly customized for the prospect.
4:43
The beauty of a follows board that it's all included so
4:46
you can actually kind of consume, content, align, everything is measured.
4:50
So we have reach analytics, it could be videos, it could be white papers,
4:56
blogs that you can actually write in our platform and so on and so forth.
5:00
So this is kind of a typical board.
5:03
This is an example of our own boards.
5:07
Now, let's assume I'm a marketer and I want to build a new board.
5:10
I'm going to actually choose from a set of templates that are predefined.
5:15
Those templates allow us to allow the marketers to choose what is the goal of
5:19
this board?
5:20
Is it an ABM one to one?
5:21
Is it a landing page?
5:23
Is it a deal room?
5:25
In this case, I'm going to select product and solution overview and
5:29
[BLANK_AUDIO]
5:33
It just created the board.
5:35
Now the board is in a template form at this point.
5:39
So I'm going to go into the design mode and
5:42
you can see that it has a lot of placeholders for
5:45
the different elements of the journey.
5:48
But it was pretty designed to allow you to kind of consume a very
5:53
effective journey.
5:56
So to get to know our product, what is the description of that product?
5:59
What is the value proposition?
6:01
Maybe some offer or promotion, what are the features?
6:06
Some business outcomes and resources.
6:09
So this is all placeholders, nothing specific right now.
6:12
This is all template mode.
6:14
What I'm going to do is I'm going to essentially kick off the generator AI.
6:20
And already pre-configured a few settings here just to make it faster for us.
6:24
So the goal of the board is product or solution overview.
6:28
You can choose is it ABM?
6:30
Is it content nurturing?
6:31
Is it a landing page?
6:32
You're going to put the name of the product here and this is our own product.
6:36
So I'm using our own ABM solution as the example.
6:39
And then I'm giving a little bit of detail of what this will be.
6:43
This is all I do at this point.
6:46
Now I'm going to press on generate board and just let the machine work and
6:52
generate the board as we as, you know, in a few seconds essentially.
6:58
Oh, OK, so let's see what happened.
7:03
So I've got essentially generator AI, generate all the text elements in the
7:09
board.
7:10
So came up with this promotion or messaging, say, power up your ABX strategy.
7:17
Some description here, two call to actions.
7:21
It also came up with explanation of what is the follows ABX solution.
7:27
Then it came up with benefits.
7:30
So what are the benefits of the solution?
7:32
There's personalization, there is alignment, insight, scalability, and
7:37
also some call to actions that can drive people forward.
7:41
There's also some special offer.
7:42
You want to try the ABX solution with no commitment.
7:45
These are the key capabilities of the product and so on and so forth.
7:52
So you start to see that essentially we're able to generate all the text and
7:57
messaging into this board very, very quickly.
8:00
Now, how did it happen?
8:02
Every section here, so he has essentially setting and
8:11
those settings were predefined to say, well, this section is going to be about
8:15
marketing message.
8:17
I'd like to get the top level messaging for this section.
8:21
And by the way, if I don't like this message, I can regenerate it and just
8:25
check
8:25
in a new one if I like it better.
8:30
You know, unleash your account based experience potentially.
8:33
I don't like it, I can go back.
8:34
And specifically in this section, for example, we asked for
8:41
the product description of the product we're promoting.
8:47
So with a little bit of instruction, and this is not kind of AID dive,
8:53
prompt engineering, all of that, this is kind of marketing language.
8:57
This is what you would expect marketers to be able to explain what they do and
9:00
the beauty is that it's all in the template.
9:02
So you really can make small changes and get to a lot of outcome.
9:07
I think this is, I was excited to see it.
9:10
It looked up into what I was hoping for.
9:12
So she, because at the beginning, you showed the template and it's to look at
9:16
a template with a lot of empty space as a marketer, especially if you're on,
9:20
you know, smaller teams, you're trying to work quickly.
9:22
That's a lot of text to fill in.
9:24
That's a lot of space to fill in.
9:25
It's a lot of things that you have to go figure out.
9:26
And as someone who's written landing pages before or worked on pages before,
9:30
it's really time consuming to think about how everything flows together and
9:33
to think of like all the headlines and the body copy and to make sure it's
9:36
the right length and the right tone.
9:38
So to see you do it in just a few clicks, it just really brings it to life for
9:42
me how quickly and how much time that something like this could save me.
9:45
>> Right.
9:45
And also, at least in our customer base, we have a lot of users that are not
9:50
product marketers.
9:51
They're not writing messaging each and every day.
9:55
So this essentially gives them the tools to be best marketers.
9:59
By the way, just like key benefits, maybe we can come up with something a
10:03
little bit more exciting here.
10:04
So I'm going to regenerate and see if we get a better kind of title here.
10:09
And yeah, maximize engagement, maybe it's a better one.
10:13
So I'm not only excited about the productivity of doing things quicker,
10:17
but also up leveling the quality of the messaging that your company is
10:21
producing.
10:22
>> Absolutely, it's better quality.
10:23
And also, I kind of mentioned timesaved from having to write all these things,
10:28
but you kind of mentioned the timesaved from having to work cross functionally.
10:30
If I'm a demand-gen marketer that's building this, I don't have to go back and
10:33
forth with my product marketer and explain to them what the page is for and
10:36
wait for them to help me like it's up leveling myself in a skill that I don't
10:40
normally do in my day to day.
10:42
And that's also a huge time saving.
10:45
>> Correct, absolutely, absolutely fully agree.
10:48
Now, I may want to go out of the template, so
10:51
I may want to maybe add another section where I want people to find resources
11:01
about the product.
11:02
So let's add a section here, I've just added a section.
11:05
And I'm going to essentially call it resources.
11:10
And as part of that, I'm going to give quick construction here.
11:18
What am I looking for?
11:20
And let's see what happens.
11:21
Right, so you have some webinars, you can try it now, you've got some case
11:31
studies,
11:31
support center.
11:32
So this is really exciting because it allows you not only to stay with the
11:36
template,
11:36
you can just add sections, move things around.
11:39
It's a Weeziwig designer, so it's very easy, you can edit things.
11:45
Now, if you all like what the generator AI has done,
11:48
purely you can go in and just make changes here.
11:54
So this is clearly almost like a helper for the marketers,
11:59
but you can override what they do with no effort at all.
12:02
So this is kind of the generator.
12:05
Now, I want to build a lot of layer to it if you don't mind Sarah,
12:08
which is recommended content.
12:10
Okay, so in this case, I'd like to add content to it.
12:12
I'd like to add some white papers, some videos to really deliver high value
12:17
content
12:18
to my user.
12:19
So what I'm going to do is I'm going to actually open my gallery here.
12:23
This is by the way, the follows gallery.
12:25
It has a lot of content, different widgets and sections that you can choose
12:30
from.
12:31
Feature content banners, presenting your team testimonials.
12:35
It's very rich, but I'm going to choose from the content section first,
12:39
content that I'd like to present here to my buyers.
12:45
So this is a typical content section.
12:48
I'm going to go and change just a few things here.
12:51
We'll make it the level of five elements.
12:54
And this is something that I've predefined in the template.
12:59
So these are, this is content that have been chosen by the marketer.
13:03
Now, I'm going to talk about person or human in the loop a lot when I talk
13:08
about the AI.
13:09
So in this case, I'm the marketer and I actually want to choose the five
13:14
sections
13:15
that I'm going to select here.
13:17
But I'd like the AI to be responsible for the journey.
13:22
So I'm going to select here, let's say, an arrow and I'm going to select AI.
13:29
So that means that those five are predefined, but everything that comes
13:34
through the journey is going to be driven by AI.
13:38
That's kind of level one that you're seeing here.
13:42
Another option is to actually go all the way and ask,
13:47
I'm going to add another section here.
13:50
And this is kind of, it has a little bit of a different layout.
13:54
But in this case, I'm going to actually define the source as being AI source.
14:01
And the, the item viewer and the layout to be also AI.
14:07
So in this case, unlike the previous one, this is going to be pre-selected
14:11
by the AI engine.
14:13
And then also the journey itself will be using the AI engine.
14:17
And why is this important?
14:19
It's important because we know that marketers, they want to use AI, but they
14:23
also want their,
14:25
they want to essentially define what's important for them.
14:30
Sometimes they want their own control.
14:32
So that's a really nice combination between something that is kind of you in
14:39
the loop
14:39
that defines the initial set of content and then the journey is done by AI.
14:46
And, and versus, you know, just more content.
14:48
And, and there is a reason why I've built it in this wake because you want to
14:51
first
14:52
present things that you have selected and then you want to let the AI drive
14:57
everything
14:58
else and really create that binging effect of consuming more and more content.
15:04
This is so intriguing to me because I work very closely with our content market
15:07
er here
15:08
and I know anytime we're posting new resources, to your point, she's got a
15:12
pretty good understanding
15:13
of like, okay, if you're down, if you're, you know, reading this ebook or
15:16
something,
15:16
here's, there's three or four resources I know that are married into that theme
15:20
that
15:20
I want to make sure that you have the option to read.
15:22
Like, I know that they exist, but sometimes it's hard to figure out what are
15:26
the next
15:26
few or like how do we want to continue that through the journey?
15:29
And I know tagging content, finding content, especially as you, your team grows
15:32
, your company
15:33
grows, you have this huge repository of content, having AI help recommend
15:38
content for the
15:38
user based on their behaviors that are in 10, just is so much better for the
15:43
user experience
15:44
in the personalization and from the back end for the team and not having to
15:47
sort through
15:47
all that content and make that decision.
15:50
Absolutely.
15:51
I think it's, it's a content finding and delivering the right content is
15:55
probably one of the toughest
15:56
problems in demand.
15:58
And I talk to a lot of customers, they're like, we're investing so much effort
16:01
in creating
16:02
the content.
16:04
Hopefully with Jenny, I were invested less because some of it will be generated
16:09
by the
16:10
same time it's, and those are large budgets in one of the huge missed
16:14
opportunities is
16:15
actually delivering the content in context at the right time to the right
16:20
person.
16:21
And this is what our platform is all about.
16:23
And I think you can see the power of AI within this, this landscape.
16:28
Absolutely.
16:29
So let's publish the board.
16:32
So this was all in design mode.
16:33
Let's publish the board and see live.
16:35
So here's our board that this was pretty much built in five minutes.
16:40
So it's kind of presenting the, the solution, maximize.
16:46
This is the content that we talked about.
16:47
So it's all in line.
16:49
So you can actually open all the PDFs and videos and just browse through them
16:55
very easily.
16:56
And then this is the complete AI recommended content where you can actually
17:02
open section.
17:03
And by the way, this is a different AI UI that allows you essentially to, to
17:09
select content
17:11
from just the different recommendation method.
17:13
It comes from the bottom to, to allow you to choose the things that, that
17:17
matter to you.
17:19
Now I'd like to show just a little bit of the back end in terms of how the
17:23
matching of
17:24
the, of the content happens.
17:26
So the matching of the content and how recommendation works, there's
17:30
essentially two levels of matching.
17:32
One is the behavior of the user or the lead.
17:37
So as they engage, we learn about their behavior and we look for similarities
17:42
to other people
17:43
that have behaved the same.
17:46
But because we're, we have identity module that we actually know people on the
17:51
individual
17:52
level, we know typically which role they come from in which company they come
17:56
from. And we can create correlations between behaviors of other prospects that are
18:01
coming from same
18:02
industries or have the same roles.
18:05
That's one correlation.
18:06
We call it user correlation or lead correlation.
18:09
The other one is content correlation.
18:11
We essentially auto tag content.
18:13
You're going to see the auto tagging in just a minute.
18:16
And by that, we know which content looks similar to other content elements.
18:21
So this is, I'm going to go out of here just a minute.
18:26
This is our content center.
18:28
This is the core repository of the content.
18:32
And you can see that a content has been tagged here.
18:35
So this is all auto tagging.
18:37
So let me open a deck that we have here on describing our personalization in
18:42
identity.
18:43
So you can see tags that talk about follows and data expectations in bound
18:48
versus outbound
18:50
progressive identity.
18:51
These are all attributes of the content of this specific white paper.
18:57
Now this works not only for white papers, but also for blogs and for videos.
19:02
So we essentially extract the transcription of the video.
19:07
We run tag, auto tagging based on it.
19:10
And it's very, very powerful.
19:11
So we talked about saving time when you add another piece of content.
19:16
You essentially drop it here.
19:18
It's being auto tagged and then it starts to play into the recommendation game
19:22
that we
19:23
saw earlier.
19:25
Make sense?
19:26
Yep, that's awesome.
19:28
So maybe just to wrap up the demo, we talked about product overview and
19:34
introduction.
19:35
But I do want to enable another capability here, which is personalization.
19:41
So in addition to AI, we have a very sophisticated personalization model or
19:47
engine that allows
19:48
you essentially to set personalization rules in change in real time, different
19:54
elements
19:54
of your board.
19:56
It could be text, it could be image, it could be call to action.
20:00
So for example, let's say I want to create another version of the banner for
20:09
business
20:10
services, which is in an industry.
20:14
I can go ahead and change the content here.
20:17
But think about generative AI.
20:19
Now just not just generating the boards that you see as you've seen, but
20:24
generating essentially
20:25
different content for the different industries that you're targeting.
20:33
So now you can go industry by industry and generate the text for those
20:37
industries, which
20:38
is very powerful for any personalized demand-gen campaign for ABM, which is as
20:44
we mentioned
20:44
the primary goose case.
20:45
So there's a lot of opportunity that is still there and we're really excited
20:51
about what
20:51
this could do to marketing and mostly to marketing outcomes.
20:55
Yeah, I really love this.
20:57
Everyone talks a lot about personalization as scale and like how do you scale
21:01
that personalization?
21:01
And I think AI is a really good way to start doing that.
21:05
And the process here is already so easy to build this board, but to be able to
21:09
then personalize
21:10
it and scale that into multiple different use cases or different industries.
21:13
And I could see from the fields that you brought up, there's endless
21:15
opportunities to personalize
21:16
these boards.
21:17
Oh yeah.
21:18
Oh yeah.
21:19
There's a lot of opportunity here.
21:22
Absolutely.
21:23
So I think this is what I wanted to show from a demo perspective so far.
21:30
This was great.
21:32
I always live getting demos that are meant for marketers because I get so
21:34
excited because
21:35
I'm like, oh yeah, that would save me time.
21:37
That would save me effort.
21:38
That would make things so much easier.
21:40
Also the content auto tagging, I know we went through that and I didn't.
21:44
The auto tagging I think is amazing.
21:46
When you get that large repository content we kind of talked about to have that
21:50
recommendation
21:51
already happening for you so you don't have to sit down every time you upload
21:54
something
21:54
and decide, okay, you know, yeah, this is about ABM, but like what are the
21:57
other like
21:58
smaller subcategories?
21:59
The auto tagging and ability to then recommend.
22:02
Again, I immediately think of my content person and the amount of work and
22:05
effort they put
22:06
into creating all of that content.
22:09
It just helps so much with like distribution and getting them in front of the
22:12
right people.
22:12
So as a marketer, this was an amazing demo.
22:16
I could see with being huge.
22:17
Thank you, sir.
22:19
I would say at the end of the day what we're all after is generating engagement
22:26
And you know, we're putting all this work to really create engagement.
22:29
And I think the combination of the different AI capabilities, at the end of the
22:33
day, it's
22:34
measurement of how long do people spend reading your material?
22:39
Did they share it with someone else?
22:41
How did they interact with that?
22:43
By the way, this is all our, we have a whole analytics engine that collected
22:48
this data.
22:49
And the reason that why this is, so this is almost like the North Star.
22:53
When we think about what we're trying to do, we're trying to really convert
22:58
from a world
22:58
of regeneration or conversion based to engagement based world.
23:02
And those tools are really essential to be successful in this new world.
23:07
Absolutely.
23:08
David, I would love to move into our lightning round Q and A section if you are
23:12
ready.
23:13
I am ready.
23:14
Okay.
23:15
So the first question for you is how long has follows been building AI into
23:18
your product?
23:19
We've been building AI for a few years, but as many other companies, this has
23:26
accelerated
23:27
over the last year, mostly because of the new large-language models that have
23:31
become
23:31
available.
23:33
And this is becoming a really core investment area for us as a company.
23:41
Amazing.
23:42
And is what you showed today available for customers?
23:44
Yeah, so this is available for customers.
23:47
We have just started to roll out the generator AI to some of our selected
23:52
customers.
23:53
We're getting really great feedback and we're learning a lot.
23:57
AI is not at one time.
23:59
There's a learning curve for all of us.
24:02
And I think this is also an exciting element to it.
24:05
Absolutely.
24:06
Definitely a learning curve and one I think we are all still very much on.
24:11
And speaking of customer, David, who are some of follow customers that are
24:14
benefiting
24:14
from your product and your AI?
24:16
Yeah, so we have great customers, some of the most sophisticated marketing
24:21
organizations
24:22
in the world, companies like ServiceNow, Google, Autodesk, SAP, and not only
24:28
large enterprises,
24:30
but also mid-sized companies.
24:32
And they're using our product to generate personalized buyer journeys.
24:39
One customer, which is enterprise customer that we're working on, is actually
24:42
going to
24:43
use follows as a core element in their enterprise-wide GNAI initiative.
24:49
So a lot of our customers are thinking about generating AI in a very broad mode
24:54
and we're
24:55
playing a really important role with those customers.
24:59
That's amazing.
25:00
And those are some incredibly impressive brands of the B2B space.
25:02
So that's awesome that they are.
25:04
They're benefiting from what you just showed us today.
25:06
And then what is next on Follow's AI Road map?
25:09
Where are you guys taking the product?
25:10
What do you want to see in the future?
25:13
So I think one of the areas of focus is really enhanced understanding of buyer
25:19
and account
25:20
intent.
25:21
With the breadth of first-party data that is generated by our system, we can
25:25
really analyze
25:26
and understand what the collection of those actions mean from a business point
25:32
of view.
25:33
How can we learn more about what the customer is?
25:36
Where are they and what do they intend to do?
25:39
And it's very exciting because it means that our ability to not only build the
25:43
journeys,
25:44
but track and optimize the journeys is even more enhanced with those
25:48
capabilities.
25:50
Awesome.
25:51
And the very last question is, what are some other AI-powered products that
25:54
follows as
25:55
using and loving in your current tech stack?
25:58
Sure.
25:59
So I have to give a big shout out to our marketing team.
26:02
They were one of the first ones to embrace AI.
26:06
They've tested many, many tools and they actually have a webinar where they
26:11
explain
26:11
all the tools that they've tested and just share the breadth and the knowledge
26:15
with the
26:16
community.
26:17
Some of the tools that I've seen that really happy about this writer AI, they
26:22
use it for
26:23
writing and they can adjust the tone, they can take cloud form content and
26:29
transform it
26:30
to short form content.
26:32
Caption AI, creating better captions.
26:34
I don't know if you know this tool, Peach, which is used to kind of take long
26:39
videos
26:40
and create kind of snackable content elements.
26:43
And shout out to Qualified, which we use your AI, keep it powered, capabilities
26:49
And I know that you have a lot coming as we're excited about that.
26:54
We also use some of our other larger partners, companies like Outreach in 6
26:59
cents, we use
27:00
their AI capabilities as well.
27:03
Amazing.
27:04
And I have to imagine you guys are your own power users and your marketing team
27:06
Also, love using Fallows AI's functionality for their programs as well.
27:10
Absolutely.
27:11
They're always user number one and we get the more, you know, the best feedback
27:16
from them.
27:17
Absolutely.
27:18
Well, David, thank you so much for joining us on the show today.
27:20
This was a fantastic demo.
27:21
I love seeing what you and the team are doing over at Fallows.
27:23
So thank you so much for joining us today.
27:26
Thank you, Sarah.
27:27
I really enjoyed being on the show.
27:29
I saw some of the other episodes that were great.
27:32
So it's kind of a learning opportunity, I think, for the community.
27:35
So thanks for running this show.
27:36
Bye.
27:37
(upbeat music)
27:39
[Music]