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Hi, folks.

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Welcome to the Science of Scaling podcast.

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I'm your host, Mark Roberge.

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In this podcast, we discuss the
science of scaling by tapping the top

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executives on the go to market side
in the most successful companies.

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Today we're joined by Matt Plank,
the CRO of Rippling, a household name

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that you've probably all heard of.

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Matt spent their six years
almost since the beginning when

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they only had five engineers.

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He met the co founder, Parker,
at their last play, Zenefits.

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And they're going for it again.

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Today, we're specifically going
to unpack the funnel and revenue

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math, a key piece to scientific
scale that so many boards, so many

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executive teams, so many CROs miss.

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This was crucial to Matt's
ability to scale them through.

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The last six years, and he's going
to unpack it for us on this episode.

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Let's get right into it.

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Congrats.

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I mean, what an amazing
run over there, Rip Lane.

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And can you just take a step back
and tell us about the beginning?

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How big were they when you started?

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Like, how did you get introduced to them?

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Can you walk us through that?

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Yeah, I've known Parker for, I guess,
about a decade now, but I worked with

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Parker actually early on at Zenefit.

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So I was the 25th employee at Zenefit,
second account executive, went on a run

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there and for the, about four years, and
then followed Parker over to Rippling.

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And when I joined Rippling, they were
actually five employees in the basement

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of Parker's house over in the, uh,
the mission here in San Francisco.

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So, uh, It was Parker, myself, a small
group of engineers and as early as

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it gets in terms of the early days.

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That's amazing.

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So was the go to market strategy
the same, you know, it was a similar

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sector value prop, similar buyer.

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And you all at Zenevitz, I
mean, you all grew like crazy.

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Was it just a cut and paste
on the go to market strategy?

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You know, one of the things that we were.

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Extremely committed to figuring
out at Rippling from a, from a

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go to market channel was email.

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You know, when we started at Zenefits,
email was, was not nearly as widely

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used as a, as a channel as it became.

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And I think, you know, at Zenefits, um,
you know, Marketo and Parda and all these

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things were not, you know, outreach sales
loft, like none of those things existed,

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I think Yesware was the first one we
ever ended up using in the sales org.

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But marketing automation was
kind of new at that time.

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And so we found a way to write, I
think, you know, highly effective

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emails, but also like getting them
delivered was not really a problem.

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I mean, it was easier to tweak the system.

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And then what happened was over
the past 10 years, emails become

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just significantly harder, but of
course, like any good growth channel,

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like everybody ends up using it.

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And then it becomes, I think marketing,
you're constantly looking for new creative

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ways to do stuff because anything that
you do that works, like everybody does

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it and then it doesn't work anymore.

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And so we were really effective at email.

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We built a massive, like what we would
call an inbound sales org, meaning

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that, you know, it was, we were
sending emails, but the demos were

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just getting put on a rep's calendar.

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So the reps felt like it was inbound.

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So when we started at Rippling,
it was way harder, you know?

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And the first question was how do we
get our emails delivered to people?

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And some of that is you write emails
that they, that are good, right?

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So they don't think that this is
immediately spam and I hate this email.

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It's not relevant to me.

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Why'd you send it?

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So you got to make sure you're
targeting the right people and

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your message is compelling.

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But then there are a lot of technical
ways that you need to deliver email.

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You can't just fire a million leads
into, you know, Marketo and send away

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like your, your domain and everything
will get flagged super quickly.

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And so it was a tough go.

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I don't think it was tougher than we
thought it would be, but we were deeply

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committed to solving that problem.

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Like in the early days of Ripley.

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Hey folks, just Mark here.

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I stopped the tape with Matt.

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Yeah, you see this a lot with
different demand gen channels.

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Let's take this in a very abstract way.

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A new marketing method gets invented.

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People are figuring it out.

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Word gets around.

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It has this beautiful moment
where it's just performing.

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And then everybody does
it and it gets saturated.

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Whether we're talking about cold
calling when the phones were

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invented, direct mail whenever like
the catalogs came out decades ago.

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Email marketing, when that came out,
content marketing, paid ads, whatever.

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They've all had that cycle.

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And that's something that Matt's
pointing out here is, very similar

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product, very similar value
proposition, very similar buyer.

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And yet, it's a different time.

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Generally speaking, the demand gen
tactics that they used at Zenefits.

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Couldn't be replicated at Rippling
and they had to evolve that.

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Let's hear from Matt

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how they did it.

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And I would say for the first 12 months,
you know, so 2017 through like the end

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of 2018, we were constantly Iterating on
how do we get email marketing to work?

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I mean, we went through so many
iterations of how do you get it to work?

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Like one of the ways that you get
email marketing to work that you

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wouldn't, wasn't natural to me.

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I had never done this before
was buying high quality leads.

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And so we ended up buying leads
and building the database.

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And if you buy crappy leads,
then you're going to get a

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bunch of poor deliverability.

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And then like all of that
stuff around email can actually

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really impact you long term.

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And so we were just banging
away at the problem for months.

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Yes.

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We approached it from an engineering
problem and like a systems problem

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and just a lot of creativity until I
feel like we finally found something

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that worked and is honestly scaled
all the way until really today.

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I don't get the connection
between marketing and engineering.

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Like, can you unpack

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that?

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Really it rippling all the way
through to our product, the way we

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think about our product, the way
that we think about marketing, you

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know, the SDR function, you know, we
look at everything that humans do.

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That's really cool.

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And we think to ourselves, like,
how could we automate this, right?

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What is a scalable way that
we could automate this?

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Because obviously anything
humans do is limited.

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One of the things that we do really
well is we look for people who

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are like changing jobs, right?

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You know, if you're changing job
from one company to a new company,

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you're highly likely to be more
open to looking at a new system.

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And so there are ways to do that manually.

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And then there are ways to do
that that are engineering focused.

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Like, how do you go get the job
changes from LinkedIn and all these

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different sources that do that?

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No, it's a cool design.

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It's um, I think it's

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better than most on the B2B.

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There's never a design that
doesn't have its disadvantages.

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And I would guess that in that case,
it's like, okay, the growth engineering

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team is a major contributor to demand
gen, which ultimately is probably

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owned by the CMO, but the growth
engineering team reports to the CTO.

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So how does that like work where it's
like the CMO might have a tough month or

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a tough quarter and they're like, well,
The growth engineering team didn't do

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their job and they don't report to me.

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So it's not my problem.

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Yeah.

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Yeah.

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It's a good question.

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And you're right that the, you
know, I'll even throw you one more

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layer into that, which is, you know,
the SDR function rolls up to me.

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And so the SDR function actually
owns like the output of what we, what

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we call, you know, S1s and S2s, so
scheduled demos and accepted demos.

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Uh, and so the SDR function owns
the number from a quota perspective.

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The marketing org definitely owns
the S2 number from like, uh, this

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is the metric that we deliver on.

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So we share that metric, uh, it's
separate reporting structure.

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Then you have growth engineering.

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Uh, who obviously is, you know, if
growth engineering doesn't do something

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or falls off for a week or a month
or whatever, like for sure the S2

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plan is not going to get hit, right?

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Like there's a critical
component of the team.

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And Matt, you got to back up
for a second and define S2.

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I know it's, it's not a Rippling
only, but it's like not as well known.

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So just back us up

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there.

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So for us.

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Okay.

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Thanks.

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The way I think about it is
you've got a lead, right?

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You know, marketing's job is to serve
leads at the end of the day, an MQL,

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marketing qualified lead to an SDR, right?

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And then the SDR needs to turn the
marketing qualified lead for us.

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But we would define into an S1,
which is a stage one opportunity,

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which is a scheduled demo.

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And then from there, a stage two,
an S2 is an accepted opportunity.

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From the sales rep, right?

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So marketing gives the SDRs leads SDRs,
then turn those leads into schedule

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demos at some conversion metric.

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That's very important to us.

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And then from there, the like S1 to S2
is the acceptance rate of the AE, right?

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And AE might do, you know, uh, whatever 30
demos a month that are on their calendar

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scheduled, and they might only accept like
75, 80 percent of them that they actually

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pull into their pipeline downstream.

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And at the end of the day, like
S2s are what matters, right?

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Like leads matter.

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S ones matter, but really like accepted
into the pipeline sales qualified

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opportunity, like that's the metric
that everybody, you know, measures

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against in terms of pipeline building
and we know how much revenue, how much

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pipeline we need to give to an account
executive and all that kind of stuff.

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Yeah, this is great stuff, Matt.

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And as I've been speaking to you,
you're way ahead of the game, I

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think relative to your peers on the
ret, what I'd call the revenue map.

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Especially on the demand gen side.

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So let's take some time to unpack
what you're talking about here.

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And let's start when, when
it's the right time to start.

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Like, cause I can't imagine you
walked in, there's five engineers.

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You're the first kind of like
business hire, first sales hire.

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You weren't like maniacally
measuring MQL to S one to S two.

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Like when, when do you move to that?

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Yeah.

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I think one of the most impressive charts
or, or graphs if you will at rippling

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is, you know, there's this graph that,
imagine there's two lines on a bar graph

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that are essentially like, how many S
twos per rep do we do per month, right?

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And so if you're an SMB or mid-market
or enterprise, like that's a, but

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it's essentially like how many,
you know, sales accepted demos.

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Do you do for a month?

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And for the longest time, really six years
running, like the way that we capacity

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build every year, some very core centric
part of the capacity model is like, how

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many demos do we need to give a rep?

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And so let's just take a mid
market rep, for example, right.

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Who has like, obviously a
certain OTE, a certain quota.

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And over time, you know, when we were
a smaller company, mid market reps

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would be doing literally like 35 S2s a
month, like 35 accepted demos a month.

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Uh, which is insane to think
about like where we've come.

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And so each of the last years over
the past five years, that number

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has gone down, down, down, down.

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And the amount of revenue that a mid
market rep closes has gone up, up, up, up.

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Right.

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And that obviously happens from
like increasing your win rate

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and increasing like your ACV.

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Like those are really
the two metrics that.

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If you increase those, then, you
know, you don't want to raise

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someone's quota to infinity.

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Like at some point, quotas are
high enough for the, for the

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unit economics to make sense.

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And what you actually
want is like more reps.

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Like if you're doing 35 demos
a month per rep, you're leaving

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meat on the bone, right?

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Like you can't be efficient in that world.

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And so, but when, when you're early
and you're a startup and you don't

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have any, you know, you, you've got
funding, but like, it's different.

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You are trying to give as many demos
as you can to a rep and have them

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close as much as they possibly can.

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And even if, you know, like
for example, if you have 35

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demos going to one rep, right.

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And let's say that they
close, you know, 15 deals.

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If you were to create a second
rep, so you take those same 35

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demos, you create a second rep.

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So now you're doing, you
know, 17 and 18 demos each.

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Like you're going to close more
than 15 demos as a total, right?

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Like the conversion is going to go up.

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Like they're obviously working, you know,
they're able to like, uh, work, you know,

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follow through on a lead, work it harder,
follow up more, all that kind of stuff.

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But it might not make sense for your
business because like, you might not

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be able to afford two people, right?

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It depends on like, what's the
revenue that they're producing.

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Hey

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folks, just Mark here.

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All right.

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This is step number two
that Matt's outlining.

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And that is to get sales capacity
to equal demand gen capacity.

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It's two sides of the formula.

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I have a salesperson.

00:11:48.675 --> 00:11:52.605
This is what I think they can produce
with their 40 hours of work each week.

00:11:52.755 --> 00:11:56.145
But there's a second half of the
formula, which is there's demand

00:11:56.155 --> 00:11:57.124
that I'm going to feed them.

00:11:57.284 --> 00:11:58.695
And he's walking us through that.

00:11:58.695 --> 00:12:01.445
Like right now, that demand
represents 35 opportunities a month.

00:12:02.175 --> 00:12:04.865
And that rep is turning
that into 10 deals.

00:12:05.085 --> 00:12:09.355
Obviously, if we add a second rep,
those two reps will probably get

00:12:09.365 --> 00:12:11.615
more than 10 deals from those 35.

00:12:12.114 --> 00:12:15.864
Opportunities, but is it going to be
large enough to still make the math work?

00:12:16.265 --> 00:12:21.225
The demand gen side has to equal the
sales capacity side, and we can't

00:12:21.275 --> 00:12:26.675
increase the sales capacity side unless
there's sufficient demand gen capacity.

00:12:27.374 --> 00:12:29.595
All right, let's unpack that
even more and get back to Matt.

00:12:30.844 --> 00:12:35.574
And so when you're early, you
tend to stuff like too many

00:12:35.665 --> 00:12:37.905
opportunities on a single person.

00:12:38.290 --> 00:12:42.940
At some point you realize like
more reps make sense here.

00:12:43.190 --> 00:12:46.130
There are certainly other companies
who are like, you know, add a bunch of

00:12:46.130 --> 00:12:50.030
reps in a spreadsheet, put a quota on
top of them, there's my revenue plan.

00:12:50.475 --> 00:12:53.405
And yet they have no idea how
they're going to get the demos or how

00:12:53.405 --> 00:12:54.335
they're going to increase the demos.

00:12:54.335 --> 00:12:56.635
They think that hiring reps
equals getting more demos.

00:12:56.765 --> 00:12:57.665
You know, that's not true.

00:12:57.665 --> 00:12:58.835
And in my experience,

00:12:59.075 --> 00:12:59.675
Oh, it's brilliant.

00:12:59.675 --> 00:13:01.954
I mean, like kudos to you for
being a thought leader there.

00:13:01.955 --> 00:13:03.575
So there's so much to unpack there.

00:13:03.825 --> 00:13:05.365
How do I know even what's good?

00:13:05.425 --> 00:13:05.755
Yeah.

00:13:05.854 --> 00:13:07.015
How do I know what my.

00:13:07.255 --> 00:13:11.694
MQL to S1 ratio should be, and how many
should be given and what's acceptable.

00:13:11.935 --> 00:13:12.314
Yeah.

00:13:13.045 --> 00:13:17.915
So, you know, this is actually really,
really interesting because rippling in

00:13:17.915 --> 00:13:23.895
the past six to eight months has spun
up go to market teams in new countries.

00:13:23.905 --> 00:13:26.375
So we launched a go to
market team in Canada.

00:13:26.930 --> 00:13:28.750
Uh, you know, selling the
companies headquartered in

00:13:28.750 --> 00:13:33.150
Canada, the UK, Australia, uh,
Germany, and France are next.

00:13:33.500 --> 00:13:38.640
And so when we first started, even in
a new market with five years of like

00:13:38.640 --> 00:13:42.980
all of this data, we're, we're kind of
like, what, how many leads do we need?

00:13:42.990 --> 00:13:44.370
Like how many demos do they need?

00:13:44.370 --> 00:13:44.749
What are it?

00:13:44.749 --> 00:13:47.160
Cause you don't even know, you
don't know the ACV, you don't know

00:13:47.160 --> 00:13:48.300
what the win rates are going to be.

00:13:48.310 --> 00:13:50.930
And so it's literally felt
like I was going all the way

00:13:50.930 --> 00:13:52.160
back to the roots of Ripley.

00:13:52.484 --> 00:13:55.214
And I'll tell you like the number
one most important place you have to

00:13:55.214 --> 00:14:01.375
start is, uh, like what does it cost
to hire a rep and like what, therefore

00:14:01.375 --> 00:14:02.824
what does their quota need to be?

00:14:03.265 --> 00:14:07.265
And like my rule of thumb
is you want to get a five X

00:14:07.265 --> 00:14:10.015
quota on someone's OTE, right?

00:14:10.015 --> 00:14:15.125
So if somebody is making, you know, 100,
000 a year, you want a 500, 000 quota.

00:14:15.134 --> 00:14:17.815
If they're making 200, 000 a year as an
OTE, you want a million dollar quota.

00:14:17.825 --> 00:14:19.125
Now that's hard.

00:14:19.165 --> 00:14:23.575
And there's a lot of companies who
don't sniff a five X return on OTE

00:14:23.585 --> 00:14:24.865
from a quota wallet perspective.

00:14:25.395 --> 00:14:28.504
And so I think in, in newer
markets and certainly Rippling

00:14:28.504 --> 00:14:29.855
did not start at five X, right?

00:14:29.855 --> 00:14:31.805
When we were first on, it's
probably three X, right?

00:14:31.805 --> 00:14:34.454
And you work your way from three X, three
and a half, four, four and a half, five.

00:14:34.894 --> 00:14:38.704
And so in these new markets in
particular, I think in a world today

00:14:38.704 --> 00:14:42.315
where efficiency is so much more
important, uh, we aim for four X.

00:14:42.335 --> 00:14:45.785
And so when we launched in Canada and
the UK and Australia, We're like, look,

00:14:45.795 --> 00:14:49.205
we know what we need to pay to get
a high quality rep in these markets.

00:14:49.225 --> 00:14:50.525
Like that is what it is, right?

00:14:50.525 --> 00:14:52.985
That's not a, if you got, I'm
for us, we're like pay top

00:14:52.985 --> 00:14:54.225
dollar, hire the best people.

00:14:54.704 --> 00:14:55.765
And so therefore it's set.

00:14:55.765 --> 00:14:59.215
If you want to say, look, 4X is the
benchmark we need, then you at least

00:14:59.215 --> 00:15:02.615
land on a quota where, you know, like,
Hey, the business works at this number.

00:15:02.625 --> 00:15:05.555
It'd be nice if it was 5X,
but 4X, like we're good.

00:15:06.405 --> 00:15:07.065
Hey folks, just

00:15:07.065 --> 00:15:07.645
Mark here.

00:15:07.935 --> 00:15:11.485
Yeah, this is a good guidance from that.

00:15:11.625 --> 00:15:13.765
I might push it one more level.

00:15:13.785 --> 00:15:14.035
Okay.

00:15:14.035 --> 00:15:14.845
What he's saying is.

00:15:15.120 --> 00:15:17.900
When he said cost to acquire a
rep, he's actually talking about

00:15:17.900 --> 00:15:18.870
how much you have to pay the rep.

00:15:19.550 --> 00:15:21.910
Okay, so you have to pay
them like 150, 000 a year.

00:15:22.660 --> 00:15:25.000
And he wants their quota to be 5x.

00:15:25.419 --> 00:15:29.070
Okay, so if I pay my rep 150,
000 a year, he wants it to

00:15:29.070 --> 00:15:31.150
be 750, 000 a year in quota.

00:15:31.645 --> 00:15:33.885
And that's going to work
out to be a good business.

00:15:35.185 --> 00:15:36.055
I think that's really good.

00:15:36.785 --> 00:15:40.695
I want, I want to push you all to
think about it at a deeper level.

00:15:40.705 --> 00:15:46.804
Cause for example, what if you have
one rep that's cold calling themselves

00:15:46.805 --> 00:15:52.345
and creating their own demand versus
another rep that has this huge marketing

00:15:52.345 --> 00:15:56.565
team feeding them and a huge SDR
team feeding them with appointments.

00:15:57.035 --> 00:15:59.645
Obviously the unit economics would
be much better for the rep that's

00:15:59.655 --> 00:16:01.025
fulfilling their own demand.

00:16:01.435 --> 00:16:03.135
So it's a little more
complicated than that.

00:16:03.135 --> 00:16:04.135
And what you have to do is.

00:16:04.584 --> 00:16:07.605
Take it a deeper level than
what Matt's talking about and

00:16:07.605 --> 00:16:09.475
just add up all that cost.

00:16:09.715 --> 00:16:11.745
What is the quarterly spend on marketing?

00:16:11.835 --> 00:16:14.395
What is the quarterly spend on SDRs?

00:16:14.605 --> 00:16:18.145
What is the quarterly spend
on our account executives?

00:16:18.594 --> 00:16:21.225
And that's the cost for a sale.

00:16:22.435 --> 00:16:26.045
And then you can do the same math
to figure out what is the revenue

00:16:26.055 --> 00:16:27.995
and lifetime value from the sale.

00:16:28.795 --> 00:16:33.420
And now we can attach that back
to Payback periods of 12 months or

00:16:33.420 --> 00:16:37.319
less, or LTV to CAC ratios of 3 to 1.

00:16:37.960 --> 00:16:39.439
You can Google those concepts.

00:16:39.500 --> 00:16:43.800
These are common unit economics, but
the bottom line is, is you need to

00:16:43.800 --> 00:16:48.479
have some sort of projection on your
sales and marketing spend and some

00:16:48.480 --> 00:16:52.860
sort of projection on your sales and
marketing output and make sure that the

00:16:52.860 --> 00:16:57.740
assumptions going into that math make
sense and spit out strong unit economics.

00:16:57.820 --> 00:16:59.090
That's kind of what Matt's saying.

00:16:59.639 --> 00:16:59.889
Okay.

00:16:59.889 --> 00:17:00.719
Let's get back to him.

00:17:02.220 --> 00:17:04.399
And then you work back from
there, the funnel metrics.

00:17:04.399 --> 00:17:04.730
Okay.

00:17:04.730 --> 00:17:08.899
So if it's for, if this is the quota
that I need, you know, um, you could

00:17:08.899 --> 00:17:11.849
start with making up ACVs and win
rates, but to be honest, you don't

00:17:11.849 --> 00:17:12.569
know what those are going to be.

00:17:12.569 --> 00:17:13.749
You have no idea what
those are going to be.

00:17:14.189 --> 00:17:16.760
And so I think another metric you
can start with is like, what is

00:17:16.779 --> 00:17:19.879
the right amount of opportunity to
give somebody or they have enough

00:17:19.879 --> 00:17:21.050
time to work the opportunity.

00:17:22.055 --> 00:17:24.855
Like at the end of the day, a
funnel is very simply like how many

00:17:24.855 --> 00:17:26.335
opportunities, what's the win rate?

00:17:26.365 --> 00:17:27.255
What's the ACV?

00:17:27.265 --> 00:17:28.355
There's a quota, right?

00:17:28.685 --> 00:17:31.645
And so you take the bottom of the
funnel, which is quota, and you

00:17:31.645 --> 00:17:35.504
take the top of the funnel, which
is like the DS Tuesday can work.

00:17:35.955 --> 00:17:39.104
And then you kind of massage win
rates and ACV to figure out like, how

00:17:39.105 --> 00:17:40.334
do you create a funnel that works?

00:17:40.334 --> 00:17:41.755
That's repeatable and so forth.

00:17:42.185 --> 00:17:42.985
I love how simple

00:17:42.985 --> 00:17:43.735
you made that.

00:17:44.490 --> 00:17:47.350
I want to actually push you one
step further to actual numbers.

00:17:47.379 --> 00:17:50.110
Cause I want to like, pretend like
you're advising someone that's starting

00:17:50.120 --> 00:17:53.050
a business like Ripple, that you
would have a funnel shape like that.

00:17:53.050 --> 00:17:54.379
You don't have to give us
the numbers, but just like.

00:17:54.789 --> 00:17:57.860
Hey Matt, you know, like I'm, I'm,
I'm going to try to do what you

00:17:57.860 --> 00:17:59.259
did like in the last six years.

00:17:59.269 --> 00:18:00.840
Like, what should I do?

00:18:00.850 --> 00:18:01.909
Like, what, what are the numbers?

00:18:02.960 --> 00:18:03.320
Yeah.

00:18:03.429 --> 00:18:04.610
So I'll take an example.

00:18:04.610 --> 00:18:09.479
Let's say that you're, you're hiring
like an SMB rep at, you know, 150,

00:18:09.479 --> 00:18:14.710
000 OT, you know, your quota really
needs to be at least 600, 000 a year.

00:18:15.170 --> 00:18:17.190
Like for you to get 4x
on the quota, right?

00:18:17.190 --> 00:18:22.410
So if your quota is 600, 000 a
year, that's 50, 000 a month, right?

00:18:22.610 --> 00:18:26.250
Monthly quotas for as long as you
possibly can forever if you can.

00:18:26.950 --> 00:18:27.670
Yes.

00:18:28.559 --> 00:18:29.259
Yes.

00:18:29.770 --> 00:18:32.580
Stay on monthly quotas as long as you can.

00:18:32.580 --> 00:18:32.949
Okay.

00:18:33.299 --> 00:18:37.980
Now that doesn't really Work if you're
selling a million dollar deals, but

00:18:37.980 --> 00:18:42.460
if you're selling deals in the tens of
thousands, yes, stay on monthly quotas.

00:18:42.460 --> 00:18:50.119
And here's why every single company closes
most of their business in the last 10

00:18:50.119 --> 00:18:53.250
or 20 percent of their fiscal period.

00:18:54.119 --> 00:18:58.670
So if you make your fiscal period a
quarter, you're going to have a slow

00:18:58.680 --> 00:19:02.480
first eight to 10 weeks of the quarter
and a huge two weeks leading up to

00:19:02.480 --> 00:19:05.820
the end of the quarter, and you're
going to do that four times a year.

00:19:06.875 --> 00:19:11.395
If you make your quotas monthly, you're
going to have a slow two and a half to

00:19:11.395 --> 00:19:16.965
three weeks of every month and have a
remarkable last week of the month, and

00:19:16.965 --> 00:19:18.155
you're going to do that 12 times a year.

00:19:18.805 --> 00:19:20.884
You want to do that 12 times a year.

00:19:21.385 --> 00:19:25.244
You want to lower the volatility
by taking on more periods, so stick

00:19:25.265 --> 00:19:29.525
with monthly quotas as much as you
can, even if your finance team and

00:19:29.525 --> 00:19:33.690
your board and your executive team
Is marching to quarters, try to get

00:19:33.690 --> 00:19:35.370
the sales team to march to months.

00:19:35.760 --> 00:19:36.720
All right, let's get back to Matt.

00:19:37.910 --> 00:19:39.660
So 50, 000 is a monthly quota.

00:19:39.660 --> 00:19:43.560
If you get a 50, 000, then, you know,
like all day long, that's great.

00:19:43.560 --> 00:19:43.880
Right.

00:19:44.570 --> 00:19:48.280
And so from there, let's say,
okay, I have a 50, 000 monthly

00:19:48.280 --> 00:19:49.769
quota that I need to get to.

00:19:50.360 --> 00:19:53.140
Uh, it totally depends on your market,
obviously, like ACVs, whatever.

00:19:53.140 --> 00:19:55.190
But let's just say, for example,
um, that you're going to give

00:19:55.190 --> 00:19:57.780
a rep 30 S2s a month, right?

00:19:57.780 --> 00:19:59.580
So I give my rep 30 S2s a month.

00:20:01.270 --> 00:20:02.160
Let's take a step back.

00:20:02.160 --> 00:20:05.600
Let's say that our win rate
or our ACV is 5, 000, right?

00:20:05.600 --> 00:20:07.110
So you have a 50, 000 a month quota.

00:20:07.140 --> 00:20:09.450
You have a 5, 000 average deal, right?

00:20:09.790 --> 00:20:11.220
Super transactional SMB.

00:20:11.570 --> 00:20:18.839
So if you're going to do 30 demos a month,
you need to win like 33 percent of them

00:20:19.499 --> 00:20:22.449
to get you 10 wins for an average deal.

00:20:22.449 --> 00:20:24.710
Size of five K is going to
get you to that 50 K number.

00:20:24.840 --> 00:20:26.149
So like, there's your funnel, right?

00:20:26.189 --> 00:20:27.060
150 K rep.

00:20:27.580 --> 00:20:29.200
Equals a 50 K quota per month.

00:20:29.780 --> 00:20:33.560
I need to get them 30 demos at a 30
percent win rate in a five K ACV.

00:20:33.580 --> 00:20:34.800
And my funnel math works.

00:20:35.409 --> 00:20:39.000
Now you might look at that and say, how
am I going to give them 30 demos a month?

00:20:39.000 --> 00:20:39.330
Right?

00:20:39.330 --> 00:20:41.279
Like that's crazy amount of
demos that I can give them.

00:20:41.279 --> 00:20:45.210
And that goes back to, um, if you
can't get them 30 demos a month,

00:20:45.559 --> 00:20:49.250
then you better find a way to get
win rates higher or ACV higher.

00:20:49.330 --> 00:20:50.689
And what a lot of people
will do is they're like, I'm

00:20:50.689 --> 00:20:51.824
going to hire an SMB rep.

00:20:52.325 --> 00:20:54.195
I'm going to give them 10 demos
a month, and then they're going

00:20:54.195 --> 00:20:56.535
to go give me 20 demos, right?

00:20:56.695 --> 00:20:59.535
On top of needing to like, win 30
percent of the deals and have the

00:20:59.535 --> 00:21:00.665
ACB and all that kind of stuff.

00:21:01.245 --> 00:21:04.784
And so you can really, I mean, every
new segment we launch at Rippling,

00:21:04.784 --> 00:21:05.855
we honestly start the same way.

00:21:05.855 --> 00:21:07.454
We have probably 15 different.

00:21:07.780 --> 00:21:11.520
You know, go to market teams from
direct SMB, you know, channel

00:21:11.520 --> 00:21:12.730
account and all this different stuff.

00:21:12.730 --> 00:21:15.520
And they all start from the same
equation of what's the OT we have to

00:21:15.520 --> 00:21:17.410
pay, what's the quota we need to get to.

00:21:17.670 --> 00:21:18.169
I'm sorry.

00:21:18.170 --> 00:21:20.670
We're out in audio
podcast world right now.

00:21:20.689 --> 00:21:21.830
Cause we need a blackboard.

00:21:22.579 --> 00:21:26.289
If you're in this spot that Rippling
was in six years ago, rewind.

00:21:26.655 --> 00:21:29.635
About two minutes and start
writing this stuff down.

00:21:29.665 --> 00:21:34.985
And that's a wonderful starting
point for you to figure out how

00:21:34.985 --> 00:21:36.725
your go to market machines work.

00:21:36.795 --> 00:21:37.104
Okay.

00:21:37.104 --> 00:21:39.295
So thank you, Matt, for doing that.

00:21:39.365 --> 00:21:42.694
And now take us a year or two later.

00:21:42.875 --> 00:21:43.054
All right.

00:21:43.054 --> 00:21:44.804
So you got this dialed in right now.

00:21:45.125 --> 00:21:46.754
Now you're running this beautiful machine.

00:21:47.334 --> 00:21:50.854
You have the sales capacity math
on one side, which is your quotas

00:21:50.854 --> 00:21:52.885
and your cost of reps, et cetera.

00:21:53.205 --> 00:21:56.385
You have the demand gen math on
the other side with your S1s, your

00:21:56.385 --> 00:21:58.585
S2s, your conversions, your ACBs.

00:21:59.235 --> 00:22:01.334
Now you're like, I don't know,
you're two, three years later.

00:22:01.334 --> 00:22:03.245
You got dozens of salespeople.

00:22:03.925 --> 00:22:05.124
How does this play out?

00:22:05.425 --> 00:22:09.684
Like, how do you decide like if you
should go lower on the opportunities?

00:22:09.794 --> 00:22:10.125
Yeah.

00:22:10.135 --> 00:22:12.715
How fast do you, how do you,
how fast do you build the team?

00:22:13.095 --> 00:22:14.574
How fast do you build
the demand gen funnel?

00:22:14.574 --> 00:22:15.485
How does it all play out?

00:22:15.774 --> 00:22:16.675
Yeah, it's a good question.

00:22:16.675 --> 00:22:18.544
So, um, let's first.

00:22:19.345 --> 00:22:23.475
Actually kind of go further up the funnel
to, to kind of answer that question.

00:22:23.475 --> 00:22:27.675
So, you know, you, you started with
this quota you need to get to and,

00:22:27.675 --> 00:22:31.395
and ACV that you have and win rates
to get you to like 30 S2s, right?

00:22:31.395 --> 00:22:34.395
30 sales accepted
opportunities that I'm working.

00:22:35.345 --> 00:22:35.654
So there you

00:22:35.654 --> 00:22:35.954
go.

00:22:37.044 --> 00:22:37.415
That's it.

00:22:38.380 --> 00:22:38.950
He's done it.

00:22:39.410 --> 00:22:40.760
That's the demand gen formula.

00:22:41.180 --> 00:22:48.239
And yet so many boards, executive
teams, ops teams, CROs, the extent

00:22:48.239 --> 00:22:52.120
of their planning is I need to do
5 million in revenue this year.

00:22:52.229 --> 00:22:54.460
My reps do 500, 000 each.

00:22:54.640 --> 00:22:55.819
I need 10 reps.

00:22:56.280 --> 00:22:58.160
Now there's the other side.

00:22:58.905 --> 00:23:02.034
That Matt just walked us
through beautifully, and

00:23:02.034 --> 00:23:03.514
that is the demand gen math.

00:23:03.885 --> 00:23:05.245
They both have to work.

00:23:05.605 --> 00:23:07.285
It's easier to add the reps.

00:23:07.854 --> 00:23:11.485
It's harder to predictably get the
demand gen to work, and you have

00:23:11.494 --> 00:23:14.795
to be confident in that before you
add the reps to achieve the growth.

00:23:15.194 --> 00:23:17.065
Thank you, Matt, for
walking us through that.

00:23:17.784 --> 00:23:18.834
All right, let's get back to them.

00:23:20.145 --> 00:23:23.015
The reality is, how are you
going to get 30 opportunities?

00:23:23.395 --> 00:23:23.794
Right.

00:23:24.305 --> 00:23:29.365
And in the earliest days, the answer
is, could be, and was for us for

00:23:29.365 --> 00:23:31.004
a long time, like email marketing.

00:23:31.084 --> 00:23:33.485
I'm going to email people
to get 30 opportunities.

00:23:33.985 --> 00:23:37.035
And um, you know, in the
earliest days of a company.

00:23:37.420 --> 00:23:41.010
You're not constrained by your TAM, right?

00:23:41.010 --> 00:23:44.110
If you sell into like rippling, you know,
companies under a thousand employees,

00:23:44.160 --> 00:23:47.050
uh, you know, under 2000 employees,
but let's call it under a thousand.

00:23:47.300 --> 00:23:49.099
And in the early days, let's
call it under like a hundred

00:23:49.120 --> 00:23:50.090
cause that's really what it was.

00:23:50.699 --> 00:23:55.389
And so there are just a, you know,
in what feels like an infinite amount

00:23:55.410 --> 00:23:57.880
of under a hundred employee companies
that you could sell to, right?

00:23:57.880 --> 00:23:59.160
So you're not TAM constrained.

00:23:59.690 --> 00:24:04.169
So in order for you to get 30 demos,
like what is the constraint, right?

00:24:04.200 --> 00:24:04.989
And they constrain.

00:24:05.425 --> 00:24:09.745
Is how many, you know, accounts
or contacts, let's call it, are

00:24:09.745 --> 00:24:12.544
you going to email and what's
your conversion rate, right?

00:24:12.544 --> 00:24:17.685
If you have a 1 percent conversion
rate, so you email a hundred people

00:24:18.095 --> 00:24:23.234
and you get one demo, then you need
to email 3000 people to get 30 demos.

00:24:23.584 --> 00:24:23.974
Right.

00:24:24.315 --> 00:24:27.075
And like emailing 3000 people
is like, that's too many people.

00:24:27.675 --> 00:24:28.044
Right.

00:24:28.074 --> 00:24:29.084
And so on one hand.

00:24:29.500 --> 00:24:30.700
I mean, it's not too many people.

00:24:30.700 --> 00:24:32.240
And what people do is
they're like, Oh, great.

00:24:32.240 --> 00:24:33.570
I send 3000 emails.

00:24:33.730 --> 00:24:35.070
I get a 1 percent conversion.

00:24:35.260 --> 00:24:36.140
I get my 30 demos.

00:24:36.140 --> 00:24:39.960
Let me just go drop in 3000 emails into
Marketo or Pardot or Outreach, whatever.

00:24:40.210 --> 00:24:41.010
You do that for two weeks.

00:24:41.010 --> 00:24:41.859
And then they're like, wait a minute.

00:24:41.889 --> 00:24:42.730
My domain shut down.

00:24:42.730 --> 00:24:44.590
I can't, can't send emails anymore.

00:24:44.590 --> 00:24:44.910
Right.

00:24:45.390 --> 00:24:50.479
And so in the early days, the
constraint is actually, uh, like.

00:24:51.219 --> 00:24:54.310
Like, how many emails can you
send and, and you know, you, you,

00:24:54.310 --> 00:24:55.330
and what's your conversion rate?

00:24:55.330 --> 00:24:59.769
So getting that conversion rate from
1% to 2% to 3%, 4%, 5%, whatever.

00:24:59.979 --> 00:25:01.779
That's like the most important
thing that you can do.

00:25:01.810 --> 00:25:04.120
That's the way that we
measure the SDR r work today.

00:25:04.560 --> 00:25:08.009
Because when you're early and you're
sending emails and you, you can

00:25:08.009 --> 00:25:11.460
send a essentially infinity emails
and get all the demos that you need

00:25:11.670 --> 00:25:15.179
at some point, you know, rippling
is six years into the journey.

00:25:15.620 --> 00:25:19.640
Uh, you know, 13, 000 customers, like at
some point you become TAM constrained.

00:25:19.650 --> 00:25:22.180
You can't send infinity emails anymore.

00:25:22.480 --> 00:25:27.080
Like you, you have a TAM, you, you've
got a number of demos you need to set

00:25:27.240 --> 00:25:31.459
and you do the math and you're kind
of like, Oh, like my, my yield, I need

00:25:31.460 --> 00:25:33.520
to get on an account is much higher.

00:25:33.820 --> 00:25:34.049
Right.

00:25:34.049 --> 00:25:36.210
And so then you think about,
okay, well, how do I get.

00:25:36.610 --> 00:25:38.650
A higher yield from my activity.

00:25:38.650 --> 00:25:41.410
And like, it's not just clickety
click sending emails through, you

00:25:41.410 --> 00:25:43.320
know, some automated API, right?

00:25:43.320 --> 00:25:46.170
Like you're never going to get a good
enough yield to make your business

00:25:46.170 --> 00:25:47.690
work long term by doing that.

00:25:48.390 --> 00:25:52.860
And so we could go, you know, that's
really the, how you, how you, uh,

00:25:53.819 --> 00:25:56.630
you know, why and how you create
like an outbound function, right?

00:25:56.630 --> 00:26:00.380
Cause the outbound, you know, SDR
outbound, or some people might do

00:26:00.380 --> 00:26:04.340
this in sales, I'm a firm believer
in separation of duties, uh, I

00:26:04.340 --> 00:26:06.419
believe very strongly that SDRs.

00:26:07.055 --> 00:26:11.605
Uh, doing SDR stuff all day long are
just going to like massively outperform

00:26:11.605 --> 00:26:14.845
a sales and account executive who's,
who's trying to do that as well.

00:26:15.625 --> 00:26:19.365
Um, and so you build SDR and SDR org
so that they can do all of the other

00:26:19.365 --> 00:26:23.294
things, which are of course, email
and phone calls and LinkedIn and all

00:26:23.294 --> 00:26:26.284
of the other creativity that you've
seen pop up in the past five years.

00:26:26.284 --> 00:26:30.045
I think there's a lot of people doing
really cool stuff in the, in the SDR space

00:26:30.045 --> 00:26:32.665
or just general kind of outbound account
based marketing, all that good stuff.

00:26:33.235 --> 00:26:36.345
Um, And that you just kind of have
to shift your whole entire world to

00:26:36.345 --> 00:26:39.415
like, you are constrained by TAM and
you can't just email everybody in the

00:26:39.415 --> 00:26:42.445
world, you know, every other month,
like there are real constraints there.

00:26:46.215 --> 00:26:50.104
Talking Too Loud, hosted by Chris
Savage, is brought to you by the

00:26:50.104 --> 00:26:54.764
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destination for business professionals.

00:26:55.654 --> 00:26:59.535
On this podcast, we're talking about
Chris Savage, Wistia's CEO and loudest

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Listen to Talking Too Loud,
wherever you get your podcasts.

00:27:28.845 --> 00:27:33.375
That's a key moment is like, you've,
you've done something that few startups

00:27:33.395 --> 00:27:37.725
do when you actually crack the nut
on one dimension, Jim, you've figured

00:27:37.725 --> 00:27:43.994
out you and you grew at some point to
what you're saying here, you saturate

00:27:45.135 --> 00:27:46.364
and you have to add a new one in.

00:27:46.535 --> 00:27:48.025
And in your case, it was email.

00:27:48.135 --> 00:27:50.825
And then you added in
SDRs kind of cold calling.

00:27:50.965 --> 00:27:51.314
We did.

00:27:51.335 --> 00:27:53.284
We actually, unfortunately, we like.

00:27:53.570 --> 00:27:56.290
Missed the SDR step for a way too long.

00:27:57.139 --> 00:27:59.590
I mean, yeah, they waited too
long, but at least they caught it.

00:28:00.040 --> 00:28:03.630
That's a really important learning
from a planning standpoint.

00:28:03.870 --> 00:28:08.140
Once you start getting to rippling stage,
you break out of that zero to one moment.

00:28:08.160 --> 00:28:11.689
You're getting 5, million in revenue.

00:28:12.569 --> 00:28:16.130
Planning has to start in
August of the prior year.

00:28:16.500 --> 00:28:22.305
And you need to know what your current
Demand gen channels can deliver.

00:28:23.105 --> 00:28:24.195
They will saturate.

00:28:24.685 --> 00:28:28.655
You will hit a TAM total
addressable market saturation

00:28:29.075 --> 00:28:30.295
on that demand gen channel.

00:28:30.605 --> 00:28:36.045
And if you wake up in Q2 of that year and
realizing it, you're cooked on that year.

00:28:36.424 --> 00:28:38.025
You can't just be like, Oh, cool.

00:28:38.115 --> 00:28:39.655
Let's start cold calling now.

00:28:40.175 --> 00:28:42.365
And that's going to be
productive next month.

00:28:42.965 --> 00:28:46.275
It's not even going to be productive
next quarter or in this year.

00:28:47.055 --> 00:28:50.904
You need to have started testing
these alternative demand gen channels.

00:28:51.220 --> 00:28:56.350
In this case, cold calling or selling
through partners or selling ABM,

00:28:57.560 --> 00:29:02.159
hopefully like a year before you need
them so that when you come into the

00:29:02.159 --> 00:29:07.030
annual planning process and you need
to grow by 20 million, and you realize

00:29:07.030 --> 00:29:11.389
that your email marketing program that
you built is only going to get you 15.

00:29:12.119 --> 00:29:15.470
You have the math on your little
cold calling experiment and can

00:29:15.470 --> 00:29:17.360
expand it out to get the other five.

00:29:18.130 --> 00:29:21.060
You need to test those
alternative demand gen channels.

00:29:21.075 --> 00:29:24.094
All right, let's get back to Matt.

00:29:24.125 --> 00:29:30.475
Did you, so tactically speaking,
do you still take the, do you take

00:29:30.475 --> 00:29:33.885
the inbound, the email marketing
leads that you had forever?

00:29:34.294 --> 00:29:37.124
Do you send them directly to the
account executive or do you send them

00:29:37.124 --> 00:29:39.374
to an SDR that only deals with those?

00:29:39.665 --> 00:29:41.935
And then do you have a separate
set of SDRs that does that?

00:29:42.245 --> 00:29:46.405
The account based selling and the cold
calling, like how is that architected?

00:29:46.465 --> 00:29:47.784
Yeah, really, really good question.

00:29:47.784 --> 00:29:48.835
So, uh, yeah, that's right.

00:29:48.835 --> 00:29:53.574
So there's basically three different,
you know, um, kind of SDR semi functions

00:29:53.574 --> 00:29:55.465
or, or, uh, sub segments, if you will.

00:29:55.715 --> 00:29:56.845
The first one is inbound.

00:29:56.855 --> 00:29:58.675
So they're dealing with form, form fills.

00:29:59.045 --> 00:30:02.825
Form fills are of course, like organic
review sites, paid advertising, like

00:30:02.825 --> 00:30:06.335
anyone that clicks on a form fill
falls into this bucket and there's a

00:30:06.345 --> 00:30:09.005
big team of SDRs that just do inbound.

00:30:09.255 --> 00:30:11.465
But for example, we used to
not even call those people.

00:30:11.475 --> 00:30:13.865
We would send them an email, we'd
send them like a three or four

00:30:13.865 --> 00:30:15.435
touch automated email sequence.

00:30:15.975 --> 00:30:17.665
And we would book a ton
of demos doing that.

00:30:17.665 --> 00:30:19.375
But what do you know, when we
started calling them, it was like

00:30:19.375 --> 00:30:20.765
we booked a lot more demos, right?

00:30:21.235 --> 00:30:23.975
Um, and so there's the inbound
team that we send a call.

00:30:23.975 --> 00:30:26.225
We call them, I think within
five, 10 minutes is the SLA.

00:30:26.235 --> 00:30:27.595
We schedule a lot of demos that way.

00:30:27.595 --> 00:30:27.635
Okay.

00:30:28.085 --> 00:30:32.745
Um, then we have our, uh, what we
call kind of mechanized outreach.

00:30:33.175 --> 00:30:37.945
And so that team is essentially,
uh, like, you know, higher volume

00:30:37.945 --> 00:30:42.795
kind of email distribution where
we also follow up with like engaged

00:30:42.815 --> 00:30:45.085
people, but it's not pure outbound.

00:30:45.085 --> 00:30:46.935
It's like, it's, it's a
little bit of a hybrid.

00:30:47.475 --> 00:30:49.935
And then our third bucket
is like pure outbound.

00:30:49.935 --> 00:30:52.545
And those are, you know,
account based SDRs.

00:30:52.815 --> 00:30:56.495
They're given a set of accounts, they,
they kind of run it, run their outbound

00:30:56.495 --> 00:30:57.915
playbook against those accounts.

00:30:58.470 --> 00:31:01.160
And then any lead that comes in
through any funnel, like if it's a

00:31:01.160 --> 00:31:02.530
named account, it goes to that team.

00:31:02.530 --> 00:31:05.980
So we've got pure inbound, pure
outbound, and then we have a hybrid.

00:31:06.390 --> 00:31:08.950
But really all of our demos
today, you know, 100 percent

00:31:08.950 --> 00:31:11.550
of our demos today are 99.

00:31:11.550 --> 00:31:13.570
9 are from the SDR org.

00:31:13.640 --> 00:31:17.810
Our account executives and SMB mid
market do not do any prospecting.

00:31:17.890 --> 00:31:19.730
Um, you know, we fill the calendar up.

00:31:20.155 --> 00:31:23.935
Uh, with those folks and their job
is purely closing in our upmarket

00:31:23.945 --> 00:31:25.455
team and our kind of enterprise team.

00:31:25.715 --> 00:31:28.575
Uh, there are some folks who
are just doing inbound as well.

00:31:28.805 --> 00:31:30.905
And then there's some folks who
are now starting to sprinkle in

00:31:30.915 --> 00:31:34.055
outbound and they're partnered with
SDRs to kind of go after a named,

00:31:34.385 --> 00:31:35.605
you know, name set of accounts.

00:31:35.645 --> 00:31:38.875
But that, that evolution is
shifting pretty dramatically.

00:31:39.210 --> 00:31:42.240
You know, through the next 18 months,
as we think about today, Ripley is still

00:31:42.240 --> 00:31:44.000
around Robin based inbound company.

00:31:44.000 --> 00:31:47.560
Like we don't even have territories,
you know, no geos, no industries.

00:31:47.600 --> 00:31:50.090
Uh, we round Robin across,
you know, 200 plus reps.

00:31:50.090 --> 00:31:51.880
So that's kind of wild.

00:31:51.930 --> 00:31:54.350
Um, we probably should have
done that a while ago as well.

00:31:55.060 --> 00:31:56.430
This is complicated.

00:31:56.490 --> 00:31:57.420
I'm feeling for Matt.

00:31:57.430 --> 00:32:00.140
I can sense that he's living
through this right now.

00:32:00.640 --> 00:32:02.140
And let me pull a couple
of things out of here.

00:32:02.160 --> 00:32:07.740
First off, He's transitioning from
round robin to something more territory

00:32:07.740 --> 00:32:13.110
oriented, extraordinarily common as you
get into like the mid tens of millions.

00:32:13.680 --> 00:32:16.900
And what's happened there
is your brand has grown.

00:32:17.990 --> 00:32:22.950
And the difference between a
cold outbound and a warm inbound

00:32:23.370 --> 00:32:25.250
is starting to feel similar.

00:32:25.830 --> 00:32:26.860
They know who you are.

00:32:27.880 --> 00:32:33.510
And so you're better off just putting
people into territories and whether

00:32:33.510 --> 00:32:36.630
there's inbound stuff coming in, or
there's cool calls that are happening.

00:32:37.395 --> 00:32:41.215
They're going to go and hit their
quota and that's really common

00:32:41.215 --> 00:32:44.725
in the mid market and it's even
more common in the enterprise.

00:32:45.495 --> 00:32:49.825
And so I feel like Matt is hitting that
transition period right now where he's

00:32:49.825 --> 00:32:57.805
moving from what's needed, what was needed
as a multi channel scaling organization

00:32:58.445 --> 00:33:02.695
to a, what feels more like a single
organization that's in territories.

00:33:03.165 --> 00:33:06.975
And those salespeople are making
their territory number through

00:33:06.975 --> 00:33:08.895
a variety of demand gen methods.

00:33:09.530 --> 00:33:13.555
The other thing I kind of predicted Is
there probably going to have to get their

00:33:13.555 --> 00:33:19.085
account executives to do some demand gen
themselves to have some accountability

00:33:19.315 --> 00:33:24.025
that's not fully reliant on SDRs or
email, and it's not running things

00:33:24.025 --> 00:33:26.335
through outreach or like 50 calls a day.

00:33:26.345 --> 00:33:27.415
It's more strategic.

00:33:27.865 --> 00:33:30.585
It might be calling on the
closed lost opportunities.

00:33:31.615 --> 00:33:35.814
It might be doing some high
personalization outreach, but I feel

00:33:36.195 --> 00:33:38.715
like that's commonly needed at this time.

00:33:39.020 --> 00:33:41.340
Date to get to the next level.

00:33:41.740 --> 00:33:43.120
All right, let's finish
things up with Matt.

00:33:44.230 --> 00:33:49.450
So at some point we'll, we'll try to, you
know, um, create never like zip codes.

00:33:49.450 --> 00:33:52.740
I don't think you need to go like
zip code territories these days.

00:33:52.740 --> 00:33:55.040
I think it's a, it's a
different world post COVID.

00:33:55.490 --> 00:33:59.140
Um, but some alignment, you know,
today you've, you could have, um, a

00:33:59.140 --> 00:34:02.110
rep in California taking a demo from
someone who lives in New York, like

00:34:02.110 --> 00:34:03.240
that doesn't make a ton of sense.

00:34:03.620 --> 00:34:07.300
And so just trying to slot in almost
like time zones or regions is probably,

00:34:07.660 --> 00:34:13.400
uh, you get some yield increase by just
like aligning leads to reps and like, you

00:34:13.400 --> 00:34:15.030
know, a time zone would be a good start.

00:34:15.030 --> 00:34:15.250
Haha.

00:34:15.785 --> 00:34:17.015
This is amazing, Matt.

00:34:17.025 --> 00:34:21.915
Thank you so much for laying out
the demand gen vision from like five

00:34:21.915 --> 00:34:26.825
engineers in a room all the way up
to this crazy math that so few people

00:34:26.825 --> 00:34:31.385
do, but it's so critical to getting
the predictable scale on the growing

00:34:31.385 --> 00:34:33.025
market side that we're all looking for.

00:34:33.425 --> 00:34:36.305
So, much appreciate you
coming on and dropping some

00:34:36.315 --> 00:34:37.475
knowledge for us today, Matt.

00:34:37.595 --> 00:34:38.515
Yeah, you bet, Mark.

00:34:38.565 --> 00:34:42.275
I had a great time and I appreciate you
having me on and all the good questions.

00:34:42.285 --> 00:34:42.945
I appreciate the chat.

00:34:51.145 --> 00:34:53.975
Today's episode is written
and produced by Matthew Brown.

00:34:54.365 --> 00:34:57.055
Our show is edited by
Pizza Shark Productions.

00:34:57.435 --> 00:35:00.805
Big thanks to HubSpot for Startups
and to the HubSpot Podcast

00:35:00.845 --> 00:35:02.525
Network for keeping the audio on.

00:35:02.770 --> 00:35:04.420
Hey, also we're a new show.

00:35:04.490 --> 00:35:07.720
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if you hate what you hear, leave

00:35:07.720 --> 00:35:10.280
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00:35:10.290 --> 00:35:11.330
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00:35:11.600 --> 00:35:13.250
Also check out stage two capital.

00:35:13.420 --> 00:35:19.220
We're the first VC firm running
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00:35:19.700 --> 00:35:21.860
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00:35:21.870 --> 00:35:23.360
check out stage two dot capital.

00:35:23.760 --> 00:35:25.020
All right, that's it for today.

00:35:25.220 --> 00:35:26.000
I'm Mark Roberge.

00:35:26.010 --> 00:35:26.630
See you next week.

