Transcript
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Conversations from the front lines of marketing. This is B two B growth.
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Welcome into B two B growth.
Everybody excited to have miles madden with me
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today. He's the senior demand generation
manager at observe AI. Miles, welcome
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into B two B growth. Happy
to be here. Pungi appreciate your bringing
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me on. It's gonna be a
good conversation. I know we've been doing
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some work here at sweet fish on
just how we think and how we measure
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our marketing efforts and and then running
some social ads and all that sort of
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thing, and so that's put us
in contact with miles. Miles. Before
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we jump into like conversation around measurement, just give me like your background for
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a second. Are you analytical numbers
guy just like that's your nature, or
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how did this become one of those
core focuses for you? Yeah, that's
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a great question. I'm definitely data
informed. I know a lot of times
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we hear data driven, but there's
definitely plenty of times where we're making decisions
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on inaccurate data. So I like
to say I'm data informed rather than strictly
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by the by the numbers. But
another thing to add there, although I'm
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data informed. When I said data, I mean both quantitative and qualitative data.
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I look at both pieces of data
equally. Um, I know there's
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a ton of system the quantitative part, but I think it's really important to
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look at both those pieces. But
to answer your question, I'm definitely analytical,
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but in the common sense of analytical. I look at the qualitative and
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quantitative aspects. Yeah, I mean, I'm sure you just have seen that
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overtime. Like it's so important to
hold both because otherwise, like, data
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can be very misleading and if you
get set up on the wrong path because
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you're just looking at the numbers like, there's there's all sorts of potential for
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wrong terms, even though the data
mightbe you say that it's driving you right.
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Yeah, absolutely, that's well sad. And Yeah, one point on
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that. There's there's kind of two
common issues I see with with many companies.
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Number one, like I said,
data inaccuracy. It's looking at data
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that's just not filtered properly or it's
just not right. I mean, I
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don't need to explain that any more
detail. And the other common issue I
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see within many companies is they're just
looking at the wrong data, the wrong
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metrics and you can be data driven, but if you're looking at the wrong
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metrics, you may not drive the
company forward because you're making decisions on metrics
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that won't drive you forward. Talk
to me about that a little bit more,
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like how have you seen companies get
that wrong? What are the metrics
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that maybe CEO S C suite holds
up that you're like okay, well,
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now we're driving in the wrong direction. What are some of those maybe red
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flags for you that you're you've noticed? Yeah, yeah, we're definitely gonna
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get it into this more. When
we discussed the marketing measurement framework that I
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follow, but a lot of times
there's there's a few things that I see
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and I'll talk to this in light
of communicating with executive and other departments.
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Number One, I'm sure most of
us have heard this, but marketing is
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typically scored on M quels or leads. Number one, leads usually defined as
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a contact in a database by many
companies. Unfortunately, when a tru lead
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is someone with intent, not just
an email address in the first and last
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name. But that's one one area, and then they'll add some criteria to
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that lead and call it M Quel, which is typically some sort of promographic
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fit, maybe company size or revenue
bands, maybe a job title, anything
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like that. But what's interesting a
lot of companies are marketing teams are gauging
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their success in those two metrics,
leads around Quels, and if you look
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at the down final progression or the
conversion rates of M Quel to an opportunity
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or customer, it's less than one
percent, and so it's not efficient.
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It's not a great representation of business
growth. That's typically when you hear sales
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teams saying marketing sending jump leads,
because they're sending them five thousand contexts in
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a database, not people that actually
have intent to purchase the product. That's
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one area that I see a lot
of marketing teams making wrong decisions on.
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It's just mque all volume and lead
volume and then uh, and that's how
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marketing is, that's how their success
is defined by some leadership. And then
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I know you've got a question.
I'll touch on one more. A lot
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of times marketing teams will bring what
I conserve Andy Metrics. So website traffic
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metrics don't look at CTRS for paid
social campaigns or just strictly conversions from paid
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switch campaigns. And this means nothing
at leadership level, right, like a
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CEO could care less about how many
impressions you had or the quick the rate
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of add so those are some common
metrics I see that marketing is scored on
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or their successes seamed from that.
I think are just tearful metrics and be
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candidatebut it too optimize your marketing and
grow business from. I think it's interesting
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because, like, if you zoom
out a little bit from both of those
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issues that you just highlighted, it
comes back to like clear defined goals and
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communication and whether it's the way that
marketing speaks the rest of the organization,
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like Hey, we're we're going to
prove our value by just having an abundance
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of M Qs, like look at
all of these emails we got, look
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at these lists we have, and
then you get like such a low conversion
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rate that it's like okay, cool, you hit your number. But we
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never, and this is where the
communication lack of focus comes in, like
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we never really established internally like what
a qualified lead is. We never had
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the good back and forth that got
us to a point where we agreed.
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And then marketing has looked at like
sure, they generated a ton of leads,
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but I mean I won't use the
language I want to use about what
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those the quality of those leads a
like. So that's that's that side.
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And then, like, I just
think it's communication from both aspects. Like
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if once you've clearly define mind what
a qualified lead is, and then you
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clearly qualified metrics, because there are
campaigns where even some vanity metrics. If
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you educate up as a marketer and
you tell the C suite why those metrics
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matter for just this campaign, this
thing we're doing, you have an opportunity
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as a marketing leader to show that
there are times for things like that,
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that actually it can drive brand right. But your CEO is not naturally going
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to be in brand world. They're
probably living in demand world and you better
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have good campaigns on that side before
you're just looking at impressions. So I
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think communication really stands out to me
with both of those those issues. Am
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I onto something there? Orgy like? Where would you wrestle with that?
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Yeah, I th your your spot
on with that, and that's Um,
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a lot of those sales teams are
scarred by marketing teams. I think marketing
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is always consistently under delivered. I
shouldn't say always, that's a pretty aggressive
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comment, but marking has consistently undelivered. The metrics up in poor and so
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if I put myself in the shoes
of a sales team, I would be
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upset with marketing and I wouldn't trust
marketing and I would think that I need
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to go create business myself. And
so when I put my perspective in terms
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of sales, I completely agree why
number one, communication is really important.
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But why? They may even be
resistant to communication even now, and that's
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why this this is one of the
main topics of our conversation today. But
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that's why I think it's really important
that we tear down the current marketing measurement
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framework and implement something new, because
if we continue to say hey, with
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the M quels, we're we're going
to add this different criteria to it,
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the past twenty years salespeople, I
should say probably fifteen now, but the
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past fifteen years sales teams, have
been hearing that we're going to change the
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criteria and m quels and the equality
is going to be better. Fast forward
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six months. Qualities not not better. Marketing is hitting its goal of sales
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is not, and we still have
that that the states in the terms of
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sales team smells. So I agree
with your communication is exceptionally important, but
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marketing is almost like a little kid
that lives and sales just over it.
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Like. So, yeah, the
clear metrics defined by sales and marketing having
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some overlap and how those things work. Like I'm glad that that's becoming such
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a focal point in conversations that were
even featuring on B two B growth because,
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yeah, like it's been a long
time coming and I'm that's why I
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love this work and that's why I'm
glad that we're gonna talk about a new
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form of scorecards. So let's go
there when we want to advocate for a
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scorecard that that appropriately gets all of
us on the same page. How how
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have you seen, like, let's
first paint a picture of not not in
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the nitty gritty of like this is
what's on the scorecard, but when that's
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functioning at its best, how have
you seen that transform a team? And
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when people adopt this model, what
can they expect long term? Yeah,
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short term, short term, it's
painful. Obviously Change Management and there's disruption
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to that, but long term,
simply, but I just see businesses grow
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much, much more effectively and efficiently, which is great for motivation. This
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new measurement framework is great for marketing
creativity. So no longer do we have
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the entire marketing department trying to figure
out how to some how to have someone
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fill out of form, but actually
communicating to the market and educating on the
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market in a way that they want
to be educated, and this is a
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very important part, in a creative
way. A lot of times when teams,
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currently marketing teams, are trying to
drive form fills, there's only so
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you can only get so creative with
that and your main priority is to get
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someone fill out of field rather than
educate a message and creativity severely impacted.
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So anyways, I address. It's
great for rail and motivation and you're actually
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aligned on growing a company rather than
trying to prove the ry of your department
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or the rule of your department.
So long term, yeah, I just
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paying a very pretty picture, but
it's it's what I've experienced. It's much
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better than what's been happening. Yeah, because you and you alluded to this.
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Like it's not going to be an
overnight change. I think the last
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question before we get into what you're
actually measuring is are you advocating to start
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with, like one to two measurements
that were about to outline? What's the
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implementation process like for this, so
people can have that in their minds before
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we go? Here's what you should
start measuring. Here's an abundance of things
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that miles was telling us to do. Like I don't want to scare anyone
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away by saying you need to throw
out your old score card and now you're
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doing this brand new thing. So
what is the implementation process like, miles?
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First I would would keep your current
dashboards and your marketing measurement framework.
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So don't just trash it and and
move to this through marketing measurement model,
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because there's going to be some pushback, especially in the short term. So
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keep your current marketing measure model.
The traditional model is the it's m q
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l, s q l, s
Qos. Some marketing teams look at marketing
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source tref no, don't see very
money, but keep that. And then
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the measurement framework I'm I'm about through
outline create that dashboard, and so that's
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that's my first piece of advice.
At both dashboards running simultaneously and actually let's
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stop there. Let's get into this
marketing measurement framework. It will make more
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sense the point number two I was
going to bring up. So let's just
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jump in through it. I like
that you're saying, though, start with
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measuring them side by side. I
think that that's an important way to do
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it. We're not trashing something old. And then also that helps when we're
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talking about educating up in the organization
or other people that you're accountable to something.
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You just hey, here's what we've
been doing, here's something else we're
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trying like, and then you can
show the traction you're getting in the new
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system instead of, I think we're
just so guilty of like all or nothing.
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or I'll just speak for me,
like I that's a natural tendency in
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my brain that I have to combat. So, okay, we're here.
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We're ready for you to break it
down. Tell us what you're advocating for,
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what we should be measuring. Absolutely
and one quick side note. Um.
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This kind of ties into something that
I called a twenty rule. Everything
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that I do is eight typical work
what I do, but I leave of
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my work to experimentation, and that
rule applies to something like this. This
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is an experiment. It's an experiment
of a new measurement framework. So keep
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of your efforts on your current measurement
framework and then this would be that of
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experimentation. So yeah, let's get
into this measurement framework. So there's a
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outline the marketing KPI s, and
then it's kind of a a tiered system.
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So I'll go through the metrics and
then the cadence at which you should
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actually review these metrics and when you
should be pulling away insights and when you
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should be making decisions. So starting
with the first here. Like I said,
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there's three tiers here. The first
here are the marketing KPIS, and
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so how I de Marketing Success is
marketings. First Revenue, and that is
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business that comes through the website.
It's marketing source. Number two is customer
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acquisition costs. A lot of teams
will only report and advertising. CACK advertising
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customer acquisition costs. I prefer to
take a look at marketing cack, but
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that includes his marketing tech and head
count and then obviously your your advertising costs.
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Reason, and I won't to go
into this and too much depth,
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but the reason I like marketing over
ad cack is that working does control?
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It's obviously it's tech spend and obviously
the head count spend. Keep your headcount
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spend where it's at, but I
think a lot of marketing teams can trim
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their tex stack. Yeah, I
think we spend way too much tech,
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but that's a conversation for another time. But adding that market in cack will
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make you realize that the customer acquisition
cost is so high, maybe not necessarily
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because the advertising costs, maybe because
we have so much stinking tech in here
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that we don't need. That's metric
number two. And then metric number three
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is pipeline velocity, and this is
essentially how quickly revenue is moving through a
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pipeline. That's that's that first here
market, source of revenue, market in
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CAC and pipeline phlosity. That's they're
going to want to monitor at the monthly
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level, but look at the quarterly
level. So I'm I'm every day I'm
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looking at my dashboards, so I'm
seeing what the revenue coming in is and
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and I see those numbers, but
I'm not overreacting or be becoming emotional to
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those numbers or critical of those numbers, and so I'm actually looking at the
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quarterly level, especially when you're looking
at a product that has a relatively longer
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sales cycle. So before I go
into my second and third tier, I'll
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stop. I'm sure there may be
some questions. If not, well,
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I think I think it's good because
you're unifying from that that base tier,
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like here's the core things we're looking
at. I like the monthly cadence because
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otherwise you could be in chaos around
Oh, we need to try or tweak
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or change this thing, when you
don't actually have sustained period of time to
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know what's working and what's not.
So I think with that first year I
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would assume, and maybe this is
a bad assumption miles. You can tell
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me if it's if I'm wrong,
but do you get a lot of push
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back with any of those metrics?
Because like to me those that's like the
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baseline of good marketing conversation. It's
gonna be really hard. That's that's the
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amazing thing. I'm typically not met
with pushback, but I'm met with excited
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curiosity. Marketing historically has not focused
on true business impact. It's simulated business
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impact on culls and leads, but
actually saying I'm accountable for revenue. I'm
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accountable for the costs that which we
acquire customers and the scalability of the programs
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that I'm running. Yeah, never
getting pushed back is there's there's that excitement
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around. Okay, marketing actually wants
to be accountable for something that has a
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direct, positive or negative impact on
the business. And then that created that
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curiosity. Okay, how are you
actually going to do this? How will
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you measure it? And the questions
that are typically some from that. My
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main kind of question would be,
like to implement this? What like you're
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talking about even like tech stack,
like trimming that, but like are there
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key tools that you're using that you
feel like are absolutely necessary for tracking some
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of this, or can you do
this all, like breaking it down in
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a spreadsheet, like what's the one
point? Oh, version of this,
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miles actually tracking? Yeah, you
can do a spreadsheet, but I have
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the advise, regardless of the size
of your business, to get either hubspot
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if you're a smaller business, or
salesforce to want that crum so you can
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actually manage and organize the contacts and
really helpful for the sales team to keep
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up to date with they should be
in communication with just aligning all of us
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on the stage of context and how
much revenue is being generated and pipeline velocity
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as well. Lot's great. Yeah, exactly. So, at the very
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least I suggest the crm. But
there are certain things like advertising customer acquisition
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costs or marketing customer acquisition costs and
pipeline lost. See, those you're not
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going to be able to create in
the crm. So those you pull out
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and calculate those in a spreadsheet and
build your grass either in whatever, whatever
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you use cruel sheets or Mael.
Right on. All right, yeah,
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keep taking us through this. Go. Let's go up a tire. Alrighty.
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So next we're going to the second
tier and there's two buckets in the
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second tier. Simply put, the
second tier is the early indicator two business
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results, that revenue in those customer
acquisition costs and pipeline velocity. And so
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the first bucket or quantitative metrics.
In the second bucket or qualitative metrics.
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So on the quantitative side we have
a metric called hero, which I'll talk
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about that in a second, and
the cost per hero and then we have
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demo volume and then, depending on
if you have a plg motion, you
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can have your fruit trials in there
now, hero. This is the really
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important one, and sales teams love
this. This is a high intendent revenue
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opportunity. This was created by refined
labs, so I cannot take this,
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uh, this new metric that was
created by them. Essentially, all this
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is is an opportunity that closes at
a rate of or more to a customer
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and at whatever stage there at.
So some companies at Stage three, some
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companies that stage two, and it's
trailing six months. So it is a
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moving target. Let's say you're closing
opportunities to a customer at Stage three and
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then your your context become more qualified
earlier in the process and that moves to
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stage two. That's when you then
align on Stage two, because that's winning
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at now. I said, sales
teams love this, and it's particularly because
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we're aligning on a metric that says, Hey, guys, you will win
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one out of every four opportunities.
Sales teams love that. I give you
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four people and guaranteed you you to
close one, and marketings needs are shaking
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if they've never heard this before,
and it's that's the thing. It's it's
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definitely a hard metric to hit.
That's what makes successful marketers and that's what
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grows companies. The sales teams love
it because no longer are we sending them
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trash leads and marketing teams are again
accountable for Revenue Um. And then under
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that there's obviously demo volume, which
is typically the conversion point that will source
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most of your opportunities or, if
you have a P L G motion,
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those free trials. so that's on
the quantitative side and we'll also want to
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look at the cost for those metrics
because that will give you an idea of
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your customer acquisition costs will increase your
decrease earlier on. So then we look
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at the qualitative side and there's essentially
two things I do on the qualitative metrics.
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There's sales feedback, and so I'm
actually going to sales and asking them
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about contacts and opportunities the quality of
them. I'm doing my my own,
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uh, primary market research, so
going and talking to buyers in the market.
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But the other important metric is self, for word attribution, and this
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is another tactic that was led by
refined labs or created by refined labs,
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and this metric is an open text
required field on your high intendent conversion points
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on your website. Typically that that
demo, scheduled demo form, and that's
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what creates the demand. That's where
people I actually type in what built their
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affinity with your brand, what made
them aware of your product or solution,
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and so now you can understand what
created the demand through that self report attribution,
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and then you also know what captured
the demand or what channel being direct
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or paid search or organic search.
So those are the two buckets. Quantitative
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hero and the cost for hero,
Demo volume or free trial volume, and
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then qualitative primary market research, research
with sales team and that self report attribution.
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When I look at hero in self
reported attributions sort of on like two
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sides of the scale, I think
those things like are so necessary in tandem
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and I love that it's just an
open fields. We've been doing that a
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lot longer since Chris Walker started first
advocating that for who knows how long ago
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that was. At this point I
know we've been doing it for well over
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a year, but I think of
all the arguments that happened internally in orders
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around attribution and and figuring that out
while at the same time they're not measuring
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their marketing teams by high intent revenue
opportunities like there's you've got to partner those
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things in tandem, and so I
can like, hopefully you're all y'all are
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connecting the dots as you're listening to
this as to how those things happen in
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tandem. And this is my follow
up question on self reported attribution. For
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you, miles, like if you've
created some complex system. I know there's
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people listening right now that exists in
some complex attribution system. They have attribution
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software, there are like deep in
it and then they hear this. If
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you're a marketer on that type of
team, how do you start better advocating
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for self report attribution? You just
start put throwing it in, testing it,
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like like what you were saying earlier. or any any thoughts there?
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So this is this is a very
easy shift, and so it's something called
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hybrid attribution. Historically, what marketing
teams have done is software based attribution,
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like you said, it's it's teams
that are looking at what's been attributed by
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a software, by Hubspot, by
Dream Data. What teams haven't done is
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looked at the self report attribution.
And when I say hybrid attribution, it's
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bringing those together. So these teams
should absolutely be looking at software based attribution,
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because that attribution tells you how the
demand was captured, how they entered
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your pipeline self. Report attribution,
which is just another column in your Dashboard
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or your spreadsheet, tells you how
the how the demand was created. And
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so now we know how people found
out about us, how people found out
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about our product or category and then
how they entered her pipeline, and that
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tells a fuller story. So it's
it's honestly very simple shift for teams that
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are very focused on attribution. And
when you think of the hero metric,
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what's the like biggest pushback you get
on getting getting to that? Because obviously
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it's going to be an easy selling
point for a sales team and I think
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it's a unifier. But after you've
worked with several teams and like, I
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know we're even trying to right now, like we're not doing this effectively out
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because we're right in the beginnings of
it. But I'm like, what's the
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biggest pushback or the hardest part of
implementing that? The hero metric or the
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hybrid attribution hero metric? Okay,
the hardest part is the mindset shift and
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the short term disruption, and what
I mean by that. This is difficult
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for teams with a large str sales
organization, and the reason being is to
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hit it's certain hero volume. Your
marketing execution has to change the book downloads
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and Webinars, and I've got no
issue with Webinars, but they're typically associated
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with just a bunch of calls and
another the generation tactic. Teams have to
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move away from that and actually educate
the market and that can be things like
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running a podcast or, if you're
running linkedin ads or facebook ads, ditching
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the Legion campaign objective and introducing reach
campaign objectives. We're educating people in feed
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around your product, around your category, or even thought leadership to build the
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affinity with that brand. And so
what happens? Because we ditch these lead
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generation initiatives? Lead volume and M
que volume decreases, but the interesting part
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is that qualified pipeline and heroes are
not impacted and actually increase. So for
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these larger sales organizations it's much more
difficult because now they have a hundred strs
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that they're like hey, some of
our strs, we don't know how you
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00:25:00.759 --> 00:25:04.400
all are going to eat exactly you
said. I don't know, I won't
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be able to eat. And so
it's much easier for earlier on organizations with
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immature sales teams, or it's probably
not the right word, with smaller sales
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teams, to shift to this model. For teams that have larger sales organizations,
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ALWOULD SUGGEST A it's gonna be a
while, it's gonna take a long
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time, but still run your lead
generation activities, find the the generation programs
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that have the lowers, lowest cost
per lead to still have that running.
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So you can have that lead volume
but then shift a good percentage of your
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efforts to create man capture demand motion. So you're kind of easing easing the
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new marketing approach. And Yeah,
I only was in sales miles for like
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seven or eight months, but that
imagining how now, with the create demand,
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captured demand, all that conversation and
being so much more in tune with
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it than I was at that point. I imagine our team and how it
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would have impact us, because we
were pretty early on. We didn't have
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too many we didn't have the problem
of too many sales people. We had
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a problem not educating the market and
it would have been a game changer for
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us to have people that were creating
content that they were putting in front of
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the right types of people. And
then, as someone who often was like
352
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calling in and just trying to book
the Demo, I was talking to people
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that were highly like they were not
informed and they were super busy and they
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did like wrong place, wrong time, wrong part of the pipe, and
355
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I'm just trying to get them to
the demo as fast as possible. So
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now seeing all of this side of
things, man, it has been like
357
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just a light bulb went off in
my head and so I hope that's happening
358
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for listeners, whether you're on sales
or marketing side. But it's uh,
359
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it's amazing. Go, go up
one more tier. Yeah, I'M gonna
360
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go one more tier. I just
I just wanna make a note. One
361
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more thing. Okay, this this
shift, and this this is kind of
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if this is based off something you
just said, which I find is really
363
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interesting. There's a phenomenon called str
or b Dr Burnout. That's typically because
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number one sales just a hustle,
which that is where its sales as a
365
00:27:12.559 --> 00:27:17.079
hustle, but a lot of these
stairs and BDR is because the marketing teams
366
00:27:17.079 --> 00:27:22.480
are finding a legion model. You're
calling people or emailing people and having to
367
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contact them five to ten times and
you're met typically with resistance and sometimes anger.
368
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Hey, stop calling me, you've
called me five times, and I
369
00:27:32.880 --> 00:27:37.680
think that is a big contributor to
SDR burnout. Alternatively, if you you
370
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make the shift to this new marketing
approach, imagine if you're an str and,
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seven times out of ten you pick
up the phone or email someone,
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they're either excited because you're a brand
that everyone loves. I was talking to
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Carl it refined labs. You work
for help spot, and you said it
374
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was great being on sales there because
people just wanted to react with an individual
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00:28:00.160 --> 00:28:06.079
hubspot Um. So that's one benefit. You're met with enthusiasm because people love
376
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your your brand, and then number
two, you're at with people that actually
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want to purchase your product. They're
excited to purchase your product, and so
378
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I think a kind of a side
benefit of this whole new marketing approach that
379
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only is a positive impact on business, but always str is get relax a
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little bit and enjoy their work environment
and actually enjoy the role in the position.
381
00:28:30.440 --> 00:28:33.319
I gotta say one follow up thing
there, because I think what's interesting
382
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about that is when you think about
companies scale, oftentimes they don't, they
383
00:28:37.400 --> 00:28:42.200
couldn't implement what we're talking about because
they don't have anyone that's in any sort
384
00:28:42.240 --> 00:28:48.000
of marketing function early enough. So
your SDR team, your sales team,
385
00:28:48.160 --> 00:28:52.279
is like potentially growing faster than what's
happening on the marketing side, which I
386
00:28:52.359 --> 00:28:56.359
get it in the old form,
but if you have no one sitting in
387
00:28:56.400 --> 00:29:00.519
those seats that's able to properly educate
the market and you have an a sales
388
00:29:00.519 --> 00:29:03.839
team that just needs to sell but
they haven't educated properly, you're gonna have
389
00:29:03.960 --> 00:29:10.440
this really weird lack of balance that's
very common in early stage SAS companies that
390
00:29:10.519 --> 00:29:15.440
don't have a marketing department yet,
and that's that's where there's I know not
391
00:29:15.519 --> 00:29:17.920
everyone is in that stage, so
this part of the conversation might not be
392
00:29:18.000 --> 00:29:21.279
applicable to you, but those that
are you're feeling that, I'm sure,
393
00:29:21.359 --> 00:29:23.920
because your sales team is just doing
the cold calls, just doing the emails
394
00:29:25.279 --> 00:29:29.039
and they're not they're hitting the ceiling
of lack of education in the market.
395
00:29:29.519 --> 00:29:33.440
That happens on the marketing side.
If you could get SDR that has this
396
00:29:33.559 --> 00:29:38.039
mindset and could could function and like
a marketer but also sales role. That's
397
00:29:38.079 --> 00:29:42.839
the dream. That is so all
SID man. That is too good.
398
00:29:44.599 --> 00:29:45.920
All right, let's let's keep this
thing moving, man. I don't want
399
00:29:45.920 --> 00:29:48.279
to I don't want to stick on
it forever, but let's let's go the
400
00:29:48.279 --> 00:29:52.480
next year. This is this is
great. So now we've covered our marketing
401
00:29:52.519 --> 00:29:55.519
KPI is, which our first tier
or second tier, which was our early
402
00:29:55.519 --> 00:30:00.440
indicators, and now we're going through
this third tier, which is channel level
403
00:30:00.039 --> 00:30:04.359
KPIS. And so each channel,
depending on the nature of the channel,
404
00:30:04.559 --> 00:30:11.880
is going to have different kpis because
humans use them differently. Email is different
405
00:30:11.000 --> 00:30:18.079
than Linkedin, for example, and
so by channel it creates quantitative and qualitative
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00:30:18.720 --> 00:30:25.119
Kpis for those channels that show me
if my performance is improving in the channel
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00:30:25.440 --> 00:30:29.039
or maybe what's working and what's not
working. And so, using linked in
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00:30:29.240 --> 00:30:33.799
organic for example, maybe the KPIS
that I set our views to a post
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00:30:34.400 --> 00:30:41.599
and let's get three metrics used to
our posts, engagement rate and then follower
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00:30:41.920 --> 00:30:45.359
volume. Say those are are three
quantitative metrics for Linkedin. We want those
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00:30:45.400 --> 00:30:49.359
to increase. Over time, but
we can also gain daily or weekly insights
412
00:30:49.359 --> 00:30:53.119
from those metrics. And then,
on the qualitative side, depending on the
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00:30:53.160 --> 00:30:57.240
nature of the platform, what what
the buyers or customers are actually saying?
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00:30:59.000 --> 00:31:02.240
And so a lot of times it's
what are they commenting? Are They D
415
00:31:02.400 --> 00:31:03.720
M in you? What are they
D M and you for, if we're
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00:31:03.720 --> 00:31:07.640
continuing with this lengthen example, and
so the kidenceaid I like to look at
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00:31:07.680 --> 00:31:12.160
this is a daily, depending on
your your position, or weekly level as
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00:31:12.200 --> 00:31:17.839
a team, because it shows at
a very micro level what's working what's not
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00:31:17.880 --> 00:31:21.839
working, both from from the numbers
but also the feedback from your market,
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00:31:22.319 --> 00:31:29.079
and it spurs obviously future creation for
talking about content in this context, by
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00:31:29.160 --> 00:31:32.839
marrying those two types of metrics together, those two types of data, you
422
00:31:32.880 --> 00:31:37.440
can understand what your market is interested
in and then it continues to improve in
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00:31:37.480 --> 00:31:42.319
performance because you're delivering to the market
what they want to talk about. We're
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00:31:42.319 --> 00:31:45.440
we're like sover, like a d
m or something like that. When it's
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00:31:45.519 --> 00:31:49.799
a social share, like what our
Best Practices to actually collect that? Like
426
00:31:49.839 --> 00:31:55.039
I know for us we have slack. That's always just we have a winds
427
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channel. So when we see something
come through hubspot. That's where it lives.
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00:31:56.960 --> 00:32:00.160
We've talked about that on here before, our marketing channel. If we
429
00:32:00.160 --> 00:32:04.000
see any great mentions or you know, one of us was on a different
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00:32:04.039 --> 00:32:07.079
podcast and there's great, good comments. Is there a better way that we're
431
00:32:07.119 --> 00:32:10.079
missing or is that? Is that
a good start? Yeah, I don't.
432
00:32:10.079 --> 00:32:15.319
I don't think you necessarily have to
collect the qualitative data. I think
433
00:32:15.839 --> 00:32:20.079
copying and pasting every D M and
every comment and through spreadsheet, sure your
434
00:32:20.079 --> 00:32:24.559
boss, would be a complete waste
of time, but it's it's this responsibility
435
00:32:24.599 --> 00:32:30.200
is typically on the manager, and
it's too. What I like to do,
436
00:32:30.759 --> 00:32:34.720
the manager of the platform. I
mean, is to take screenshots of
437
00:32:34.759 --> 00:32:39.839
the actual conversations and show that to
either leadership or the lead of marketing,
438
00:32:40.039 --> 00:32:45.160
marketing lead, to show, Hey, this is uh, some pushback we
439
00:32:45.240 --> 00:32:47.880
got on this topic, for this
is a question we got. Or here's
440
00:32:47.880 --> 00:32:52.079
a screen shot of hundred people.
You can hit the command minus, minus
441
00:32:52.200 --> 00:32:59.039
zoom out on your back through's screenshot
of a hundred people that are perfectly that
442
00:32:59.079 --> 00:33:02.480
are are perfect the CP they're saying. This is amazing. This helped me
443
00:33:02.559 --> 00:33:07.759
so much, this provided so much
value in my professional life and so it's
444
00:33:07.920 --> 00:33:12.200
uh, yeah, it's not not
collecting that data. Are Storing it in
445
00:33:12.200 --> 00:33:15.279
a place, but collecting that data
in terms of screenshots, adding them to
446
00:33:15.319 --> 00:33:22.920
a presentation and communicating with the marketing
lead what signals that qualitative data is providing.
447
00:33:23.319 --> 00:33:27.160
Did you say there was a qualitative
and quantitative side to this part,
448
00:33:27.720 --> 00:33:32.519
or just the qualitative? The quantitative
are the channel specific metrics, using the
449
00:33:32.599 --> 00:33:40.279
Lenkedin example, follower volume page leaks
views of the posts. Yea Perfect man.
450
00:33:40.359 --> 00:33:45.480
This is so helpful and I think
now people with a picture, they're
451
00:33:45.480 --> 00:33:47.160
going like, okay, I understand, I'm not going to just like go
452
00:33:47.240 --> 00:33:52.079
and implement this tomorrow, which is
why we advocated at the front end like
453
00:33:52.519 --> 00:33:58.079
hey, start with the two different
DASHBOARDS, start getting this stuff rolling.
454
00:33:58.440 --> 00:34:00.440
Hero is going to take along.
If you have nothing like that type of
455
00:34:00.480 --> 00:34:04.759
metric. Hero is probably the most
would you say that's the most complex part
456
00:34:04.759 --> 00:34:08.360
of this? Getting people centered around
that? Yeah, getting them centered around
457
00:34:08.400 --> 00:34:14.360
this new measurement framework, and then
just the change from marketing being measured on
458
00:34:14.519 --> 00:34:19.280
leads and M quels to being accountable
for revenue and why. That is important
459
00:34:19.960 --> 00:34:23.440
for sure. Okay, well,
anything, as we start to wrap up
460
00:34:23.440 --> 00:34:27.119
this episode, miles that you're going. Okay, just be sure as you
461
00:34:27.519 --> 00:34:30.760
move into implementing that you watch out
for this or stay checked in on this,
462
00:34:30.960 --> 00:34:36.440
like last little warnings before we start
to wrap. Yeah, so that's
463
00:34:36.480 --> 00:34:39.280
piece of advice I always like give. Is the data wins. And so,
464
00:34:39.639 --> 00:34:46.039
especially transitioning from this marketing being measured
on M quels now marketing being attributed
465
00:34:46.079 --> 00:34:52.440
to revenue. Actually show the conversion
rates to an Mquele, actually from m
466
00:34:52.440 --> 00:34:57.440
cul to customer and how dismal that
is, the extremely high customer acquisition costs
467
00:34:57.440 --> 00:35:02.360
and the long sales cycles, and
then help leadership along with that journey,
468
00:35:02.480 --> 00:35:07.000
continue to show them that those metrics
that hey, sales cycle is is dwindling
469
00:35:07.079 --> 00:35:12.840
for now closing someone in forty days
instead of ninety, our customer acquisition costs
470
00:35:12.840 --> 00:35:19.679
are are have reduced by so constantly
providing data and telling that story. That's
471
00:35:19.679 --> 00:35:23.440
probably the most common mistake I see
when marketing teams make this transition is that
472
00:35:23.480 --> 00:35:29.599
they don't use data to help back
the story. They talking hypotheticals. This
473
00:35:29.679 --> 00:35:31.880
is going to work, this will
work um and I don't help guide that
474
00:35:31.960 --> 00:35:36.880
journey off the data. So yeah, but other than that, I mean
475
00:35:36.920 --> 00:35:39.960
if you can do that, you're
you're going to have a pretty successful transition
476
00:35:40.039 --> 00:35:45.880
from leads to revenue. Fantastic.
Well, I appreciate you spending time here
477
00:35:45.920 --> 00:35:50.280
with us and breaking this down.
For people that want to stay connected to
478
00:35:50.360 --> 00:35:52.360
you, what's the best way for
them to do that, and then talk
479
00:35:52.400 --> 00:35:55.880
a little bit about your new Gig
at observe a I. We'd love to
480
00:35:57.039 --> 00:36:00.320
hear a little bit about what you
are up to there as well. Yeah,
481
00:36:00.360 --> 00:36:04.119
absolutely. You can find me on
Linkedin, miles madden. I'm on
482
00:36:04.159 --> 00:36:07.960
Linkedin every day. Feel free to
send me a dam and I took respond
483
00:36:07.960 --> 00:36:10.320
pretty quickly, within a day or
two, so I've got it's it's an
484
00:36:10.360 --> 00:36:14.599
open door. I'm always free to
talk. As far as AB survey,
485
00:36:14.679 --> 00:36:19.440
I physician. There's in your demand
generation manager. So, simply put,
486
00:36:19.480 --> 00:36:22.519
helping these guys grow and and hopefully
become a public company. I won't go
487
00:36:22.639 --> 00:36:28.039
into depth there, but yeah,
sisting with marketing leadership and in terms of
488
00:36:28.119 --> 00:36:32.559
execution and strategy. Fantastic. Well, this has been a really insightful conversation
489
00:36:34.119 --> 00:36:37.239
and we're always trying to do that
here on B two B growth. We
490
00:36:37.280 --> 00:36:40.800
want to fuel new ways of thinking
and we want to help you and your
491
00:36:40.800 --> 00:36:45.599
marketing team continue to win. So
if you haven't followed the podcast yet,
492
00:36:45.679 --> 00:36:47.960
you can do that so you never
miss an episode. You can talk to
493
00:36:49.000 --> 00:36:51.719
me over on Linkedin as well.
Would love to hear from you and talk
494
00:36:51.760 --> 00:36:55.440
about marketing, business life and keep
doing work that matters. Will be back
495
00:36:55.519 --> 00:37:00.400
real soon with another episode. Miles, thanks so much for being your mouth.
496
00:37:12.239 --> 00:37:15.840
If you enjoy today's show, hit
subscribe for more marketing goodness. And
497
00:37:15.880 --> 00:37:19.280
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take a second to rate and review the
498
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really enjoyed this episode, share the
love by texting it to a friend who
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