Transcript
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Welcome in to be toob growth.
Excited for today's episode. We have Monica
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Sullivan here. She's the chief marketing
officer at demand science. Monica, welcome
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to be to be growth. There'll
to be here, Venie, absolutely so.
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You have extensive experience building, leading
teams driving business success. You've worked
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at companies like constant contact GNET.
So I think this conversation is really going
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to be insightful. Monica, let's
start here thinking of your kind of current
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just daytoday, work at demand science
as chief marketing officer. What excites you
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right now in your current role?
Well, the most exciting thing that we're
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tackling that, and it really is
still a big pain point, is solving
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the chasm between sales and marketing and
really, you know, it's steeped in
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data challenges, but there's a whole
lot more baggage in there, and I
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have some stats from research we've done
to share with you as well. So
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it's kind of an age old thing, but I think it's just interesting to
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see where we're still miles apart and
where we're actually getting closer and realizing,
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you know, that there's opportunity to
fix this and we want to. Yeah,
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the topic that will kind of drill
on today does touch right there,
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right where. It's like marketing and
sales. It's this constant sort of friction.
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You hear a lot of talk on
Linkedin or in the Bob space around
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that. How do we allow line
and so excited to get your insights from
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a marketing perspective, as you are
a leader. What have you experienced in
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your marketing history where you see that
friction kind of firsthand? Yeah, I
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mean it is everywhere. So it's
not something that's people should feel personally badly
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about. It's really and he like
I said, the age old thing where
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marketing continues to feel as though sales
is just not picking up on the great
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leads that are being sent over.
They're not closing them fast enough or even
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following up. There's just a misunderstanding
about why these great leads don't seem to
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be great from a sales perspective.
whose responsibility is or who creates the better
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leads, whether it's sales or marketing? You know, marketings perspective. Maybe
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you know someone picks up the phone
because we've created the air cover of awareness
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for you so that they're ready for
you and marketing will say I'm calling them
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and that's why they're coming back to
the website. So there's just this really
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interesting dynamic that's always happening and I
don't think it's about who gets credit because
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at the end of the day we
are one general, you know, revenue
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jetterating team. We're supposed to be
aligned on that front and that's where teams
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can be the most successful is when
everyone is working toward one revenue target,
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where the KPIS are aligned, where
sales and marketing both feel responsibility and are
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even bonused on revenue. So it's
really everybody's responsibility. So that's definitely a
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first step, but it's just,
you know, it has we have data
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that supports what we are already know
that a fifty eight percent of marketers will
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say the leads I delivered a sales
are better, and fourteen percent of the
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salespeople agree, you know. So
it's just a big gap. Oh okay,
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so I feel like there is some
movement overall in the B tob space
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where we're seeing revenue teams, where
we're seeing that conversation. We're going to
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have sales and marketing in the same
on the same calls in the same beatings
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we but what if sales and marketing
are still viewed in organizations listening to this
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as two completely different departments? What
are you telling them? We need to
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stop doing this and maybe we need
to start trying this. What would you
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say, Monica? You know a
lot of it is stop just the personal
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opinions and start getting together with meetings
and what we've developed on our team.
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And what I recommend for everyone is
a dashboard of truth. You know,
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at the end of the day,
if you have a data source of truth
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of what's happening in the pipeline,
that you're using the common version of your
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ideal customer profile, that you agree
on what the lead scoring metrics are and
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what constitutes a lead score of one
versus five, you know, at the
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end of the day, the data
tells the story and and while this opportunity
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to keep refining it, while you
need to keep refining it, that that's
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the communication and process. So you
need the data, you need to be
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talking all the time about what's happening
and aligning on why certain leads don't seem
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to be scoring out the way they
showed or why sales isn't following up the
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certain leads that score higher and then
the process around how do you use the
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data, particularly from a marketing perspective, inbound leads that are permission based,
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penning that data with information that says
that helps the salesperson prioritize and getting better
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and better at using data and insights
to get conversion to, you know,
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happen more quickly and when everyone is
aligned on that and feel like one team
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together, that's where the magic is. Yeah, so you said the Dashboard
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of truth. That's where I want
to start to ask you some follow up
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questions because I think it's so important
that you have something common that you're looking
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at that assesses what's working and then
maybe what's not right now. So talk
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me through what brought you to this
idea of we need a dashboard of truth
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and what is what's on there?
Yeah, great question. So for a
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while, even within sales force,
the marketing team had their own dashboard and
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the sales team had a different board
and the sales dashboard showed a much different
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attribution, much lower attribution of marketing
griven sales into outcomes and the marketing dashboard
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unsurprisingly, had a higher attribution marketing. Would look at potentially an attribution win.
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Know of you know, something was
a lead that came in and it
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closed within certain you know, let's
say ninety days, that would count sales
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only one to account the the first
deal that came in the door and if
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that didn't close, that was the
end of the funnel. And so,
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you know, that was one sort
of a ha moment for us and for
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many teams, you know, understanding
kind of how we think about what counts
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as a marketing qualified lead and the
attribution. The other piece of it is
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that, you know, we didn't
have an automated scoring system. So the
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sales team would score leads and they
would manually, you know, put the
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scoring into their dashboard and and determine
whether or not something was a low score
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or high score. And we weren't
using data necessarily to help improve that quality
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metric help them prioritize the leads that
showed more promise based on either, you
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know, either technographic information, so
installs that tells the salesperson, Hey,
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this person has other competitors, you
know, in their on their site,
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so you can tell that embedded text
act that they could be a good prospect
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for us, or, in some
cases you know our clients are using other
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metrics and ways to qualify, like
revenue. If it's not a certain size
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company, maybe they're not going to
be able to pay for, you know,
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the services based on our size average
deal. So there's a lot of
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ways you can use data to help
qualify and not just have it all the
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manual. The other challenge we had
was that there wasn't a quick enough response
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to leads. So back in two
thousand and eleven, you may remember this,
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but Howard Business Review came out with
a study that said you've got to
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get to, you know, two
leads quickly in the B tob space was
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like back in the day was twenty
four hours. Well, today it's within
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minutes, and we did some research
that I had mentioned earlier. It said
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eighty percent of stills and marketing teams
say that they don't get back to people
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within twenty five minutes, and so
there's still a big opportunity for getting to
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people faster, and one of the
reasons why that doesn't happen is often because
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there's this question of how qualified the
lead is and concern that they may not
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be a fit. So the more
you can use data to drive the right
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hot leads to sales more quickly and
then spend time with either a lead development
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rapper or a sales development wrap to
qualify further if that's needed. You can
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at least get to the hot deals
more quickly and you know, make sure
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when someone is in front of their
computer searching, looking for solutions, you're
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there and and you've probably seen it
yourself. You know the best customer,
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that's sorry, the best sales organizations
are coming back to you within moments with
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either an email or call or both. Once you fill in a form,
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you know they're right there to have
a conversation. Yeah, and you got
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to walk that fine line right,
because you might get it. You might
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get it right, you might reach
out in the first twenty five minutes,
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but that person better know their stuff, they better be personable. There's like
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so many things that then you have
to be good at as a salesperson.
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So there's so many things we could
dive into even on that part of the
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process. But you said eighty percent
don't get back in twenty five minutes and
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I want to I want to talk
about that for a second. What does
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that first touch in your mind need
to kind of like look like? Is
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there anything there that you would give
as like an insight? Because we all
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want better quality leads, right,
we all want more quality leads, but
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then also that first touches is important. So I thought maybe we just talked
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about that for a second. Yeah, and I will say I'm you know,
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have to give creds to our sales
organization. Not only do we have
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a great sales development team and they
do all the right training and we've got
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truly a great sales team, and
that's a lot of process and work,
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you know, by the salesops group, by the sales support teams. It's
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not just sales, but it is
about understanding the person's need. So they
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fill out the form for a reason
and our team focuses on what on the
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why? Not necessarily the idea that
they need us for their data, for
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their pipeline support. You know,
we obviously deliver be to be data and
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help them with with permission based leads, but there's a why specifically they're looking
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for help from us that we try
to get under and it's not so it's
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it's sets up that more consultative engagement. It's not just hey, you were
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looking for data, I have it. You know. So it's much more
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of a conversation and obviously there's a
lot of training behind that. But you
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mentioned personal. Like it is personal. These people are trying to solve a
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business knee. They're trying to grow. There's still a lot of opportunity to
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improve the data that's out there provide
more accurate data. It can be expensive,
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you know, so they're trying to
make sure that they make a great
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choice about the data that they use
in the partner that they pick to help
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feed the top of their funnel to
help improve, you know, how the
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quality leads. They can get in
and obviously convert faster. So they're trying
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to make sure that they can succeed
in their own role and pick a great
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vendor that is, you know,
the right price as well. Right.
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Taking us back to the dashboard,
I'm thinking through some of those issues that
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you guys were having. When it's
separated out, and you mentioned mqls.
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Talk me through once you're more data
driven, once you're actually looking at some
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of that, how did you work
to go from this is a problem on
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to dashboards to now this is actually
what an mql is, and define that
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better. Yeah, so we started
with a couple of different personas ICPs,
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you know, ideal customer profiles and
that's something that we really talk about as
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a team a lot, making sure
that we're pushing on that. You know,
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do we really feel like this is
the right person and we're finding them
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in the right places? As we
do targeted marketing, as we, you
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know, obviously retarget and make sure
that they're the messages make sense based on
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where they've been searching. Like I
said, we look to see there's any
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other signals that they're providing that show
that they're really in market for the product,
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that they're at least consuming content,
that there's potentially even something that we
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have is called confirmed connect where,
you know, did they pick up a
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cold call in the neck in the
last three thousand six ninety days? Did
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they respond to an email? So
they're truly more engaged and potentially a better,
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higher priority for sales because they're engaging
and they're going to pick up the
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phone. You know, sales people
want efficiency and they're going to prioritize somebody
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who will pick up the phone faster. So we look at all of those
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things when we're looking at the dashboard
of you know, how quickly we getting
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back to people? Are we are
we within kind of our sales process and
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getting getting that connect with the sale
with a customer faster? You know,
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are we able to move people through
the pipeline and get more qualified leads?
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So in our case it's a kind
of a simple score card of, you
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know, one hundred and twenty five. So fours and fives are the most
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highly qualified and ones and two there
are not. But we keep the scoring
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and the dashboard to the sales ops
people and our team. But we don't
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want the sales people to know whether
something was scored two, three or four
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or two. We want them to
if they get the lead. We want
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them to follow up every time they
get the lead because systematically and process wise,
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their hand a lead, it should
be qualified by a timid gets to
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them, because earlier on we were
realizing that when they could see what the
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score was in sales force, if
it was a lower score, they were
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deprioritizing and they were not they were
not falling up as quickly. So there's
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a whole method to the madness around
what people see and what we've determined as
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a team. If it's if it's
qualified, you should follow up. So
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there's some of those things that happen
that you work on as a team over
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time and improve them. So it's
data. It's obviously the process that decides
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which which salesperson. You know,
we route the different leads to. So
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we have a strategic team that takes
on, you know, those larger accounts
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we have on our radar and commercial
team that will take on all the others.
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You know, we really focus on
software technology and BE TO BE SERVICES
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COMPANIES. So, you know,
we're very clear on who our customer is.
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That is a fit that typically has
the budget for the things that we're
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that you know that we provide because
they have a need and they you know
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that you know their business is really
looking for kind of that high quality lead
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at the top of the funnel,
as well as some additional data for sales.
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So but we do look constantly at
we improving. Are Qualified leads?
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Is there a gap? And we
do look at the things that don't make
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sense, and so we meet,
you know, as a team regularly to
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say, you know, here the
leads that should have been more qualified.
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Let's look at why they weren't.
Let's improve our process, let's improve our
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targeting from a marketing standpoint. Let's
change our messaging so and really challenge each
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other. You know, if we
think that hypothesis is that certain leads,
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you know, should be qualified based
on where we find them and what kind
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of what keywords are coming in on
and what businesses and if they're not closing,
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we have that hard conversation about you
know, is it you know there's
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something that is different with the Reps. you know, is it training needed
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or is it really yeah, you
know what we're doing in marketing and how
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we're how we're delivering the leads,
but it's that conversation that helps us improve
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and then always challenging. Maybe,
you know the funnel is expanding, maybe
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there are more people interested in your
solution. So you don't want to just
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focus on the ideal customer profile that
you've always had. You know, as
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a team at working together and you
realize that there are some outliers. You
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can have an opportunity to identify a
bigger total, a rest of a market,
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because you're looking at the data together
and you're talking versus just looking at
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the old definition of your f your
personas. Hey, everyone, if you've
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been listening, to be to be
growth for a while. You know that
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we are big proponents of putting out
original, organic content on Linkedin, but
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one thing that's always been a struggle
for a team like ours is easily tracking
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the reach of that linkedin content.
That's why we're really excited about shield analytics.
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Since our team started using shield,
we've been able to easily track the
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reach and performance of our linkedin content
without having to manually log it ourselves.
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It automatically creates reports and it generates
dashboards that are incredibly useful to determining things
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like what content has been performing the
best, what days of the week are
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we getting the most engagement and our
average views her post. Shield has been
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00:16:51.529 --> 00:16:56.330
a game changer for our entire team's
productivity and performance on Linkedin. I highly
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suggest checking out this tool if you're
publishing content on Linkedin for yourselves or for
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Promo Code is be the number two, be growth. All One word for
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a twenty five percent discount. All
right, let's get back into the show.
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I want to go back to the
pain point, that is the separate
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dashboards between marketing and then this the
separate sales dashboard, and I'd love for
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you to just say, what are
those the key elm elements? If someone
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was to walk away from our conversation
go I need to start a dashboard that
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has it all together, like this
is going to be something we're going to
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walk away with. It's going to
build it out that we can reference,
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sales can reference and marketing can reference. What are some of those key elements
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we need to be aware of?
Yes, so agreeing first and foremost on
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kind of lead scoring, right,
so what constitutes a qualified lead and what
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doesn't, and being willing to revisit
that model on a regular basis as you
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refine it together, because it does
change based on, you know, your
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marketing tactics, based on where we
are in the world, you know,
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based on you know, your opportunity
to sort of find new business over time,
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depending on the size and, I
guess, sophistication of Your Business.
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You know, learning your market,
you know. So making sure you're open
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to adjusting that lead scoring model.
The second is attribution, right. I
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talked a little bit about that to
say, where do you attribute a marketing
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touch in the process? Forster put
out some interesting stats, but you know
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it's there's there's certainly a lot out
there that says that there's more touch points
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now than ever before in the customer
journey. Right. So when you think
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about how many touches, you know
it could be up to twenty touches or
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more. Marketing touches them in,
you know, an email or display ad.
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You know, there's there's those kind
of daytoday people are going to google.
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They're coming back, you know,
maybe to a paid google search.
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You know, they might have found
you on organic and they're coming back and
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paid because they remember your name.
There's the sales touches, you know,
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there's the sales email, not in
addition to the marketing email. So there's
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all of these conversations that are happening
that are part of the journey and so
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aligning together. On the attribution,
it could be a percentage at first,
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it could be, you know,
different ways of looking at the attribution models,
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but saying, how much credit does
a form fiel get based on the
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source, but also the overall touches
that you can measure and there's ways you
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can measure that you know today better
than ever before to understand what makes sense
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and and maybe how much weight you
want to put toward it, as well
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as you know, agree if there's
any credit given to repeat business. Like
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a marker would say, if you
never would have had that customer in the
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first place, how can we only
get credit for the first deal? And
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sales would say I sold them every
other deal and they we built a relationship
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and the customer experience. People might
say they never would have had that second
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deal if I had up, hadn't
had done a good job of executing on
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the campaign and being there. They
wrap, you know. So really aligning
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on attribution is important. Obviously getting
the best cleanest data that you can.
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You know, into how you might
a pen and a rich your your opt
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in forms and how what you might
know about somebody based on being able to
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add better industry information, better title
information, you know, understanding your buyer
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group, because there's more than one
person buying, so they're making the decision.
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I would say. So you might
have one person who the decision maker,
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but there are multiple people in the
buyer group. So marketing has to
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get in front of all of them
and sales might need to have conversations with
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the influencers as well as the ultimate
buyer and so agreeing together on you know
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what that means in terms of the
influencer buyer group? Do you have that
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somehow on the dashboard when you're saying
you're understanding the buying group? How does
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that sort of filter into when you're
thinking of that dashboard? Yeah, it's
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a great question. So we know
the conversations that are happening with influencers versus
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the ultimate decision maker and most people
have in their crm will have information like
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that that they can tag and set
up. So you know that it's a
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bigger buyer group and and you know
small companies might have this even and larger
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companies are just maybe different sizes,
are different types of titles involved in the
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buyer decision, as well as obviously
the budget size. But knowing whether it's
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an influencer meeting, our dashboards will
say, you know, influence our meeting.
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It'll kind of qualify in the sales
dashboard around the funnel and the the
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sales process will kind kind of a
conversation was whether it was a slam dunk
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type of conversation, whether it was
Luke Rom kind of medium conversation in terms
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of how likely it would is to
close. You know. So there's different
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ways that bill. You know,
the dashboard will kind of say like how
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likely is this to turn into revenue
and x amount of days? You also
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learn your sale cycle, so you
would know, you know, our average
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deal closes in x amount of days
or months. The average deal size.
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You want you look at all those
things together because it's also important and you
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also want to know is there a
difference? Are This sales generated leads higher
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value than the marketing generated leads?
Why is that? You know, if
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you're if someone's coming in through an
organic lead, as it is a different
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than a lead that sales has spent
months trying to real you know, get
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into this one one business. So
that's one other metric that you also have
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to look at as a team to
say why is that? Because in some
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cases it's a little skewed based on
the types of clients that maybe your strategic
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sales teams are going after, you
know, larger technology companies, you know.
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So you have to break that into
you know, maybe traunch has to
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say, is it the same view
of the average deal size that you're looking
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at? You know, do you
need to break out kind of your top
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tier targets versus kind of your core
commercial businesses or even by industry? So
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there's a lot of ways to look
at the data and then a lot of
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businesses, and we certainly did this
a constant contact. You also want to
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be looking at your attrition rates,
you know, like what's happening with churn,
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you know, and also for,
you know, different cohorts. So
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over time companies can get better at
understanding you know, is there a difference
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in leads that came on board with, you know, a messaging and a
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value proposition, of brand position six
months ago versus now? Is there a
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difference in their churn rates? Is
there a difference in their average deal size
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and lifetime value? So there's depending
on the type of business you are,
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there's a lot of metrics that can
help you understand how you're messaging, how
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your overall go to market strategies impacting
your brain you know, impacting your outcomes,
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and make changes based on that going
forward to make sure that you're obviously
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improving your churn rates. Let me
ask you a follow up question on that.
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How often do you go over attribution
rates and churn with your your team
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as a whole. Well, the
sales and marketing team meets on a regular
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basis every other week. We're looking
at all of the data. Yeah,
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so that's a number you would go
out over that often not the churn rates
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as much with for our business,
but we differ. We definitely talk about
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overall health and KPI is on a
on a monthly basis, but a Sass
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business would look at them weekly,
if not daily, depending on what's happening
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in the business. And you have, you know, when you're assass business
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like a constant contact where everything is
kind of an online sign up and there's
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less of an outbound sales model,
you're definitely much more aware of exactly how
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many leads are coming in and how
many need to convert on a daily basis.
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As you look at a be tob
business like ours that has both a
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subscription and, you know it,
ongoing services business model, kind of higher
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value be tob it's, you know, really about kind of aligning on those
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turn metrics as well as what's creating
that ongoing over and over again, retention
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and why people are staying with us
are as just you know, as important,
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as you know why some of the
ones might be leaving, but it
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helps you change your ICP. That's
the reason why sales and marketing are going
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through that conversation. Is If there
is some churn happening that you didn't expect,
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you know, maybe the ideal customer
profile isn't what we thought, maybe
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there's a persauna that, and I'm
somewhat talking illustrative here, but if it's
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somebody who's a lower deal size,
they might be have a greater propensity to
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churn. That doesn't mean it's bad
as part of your business, but you
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just need to know that because it
will help you, yeah, in terms
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of how you might be targeting and
how you might kind of prioritize those deals
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versus some that are larger, as
well as just understanding your overall scale of
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what how you need to fill the
funnel at every level, because it does
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help. HMM. So there's some
really great key elements here that you've outlined.
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So lead scoring, attribution, clean
data collection, understanding the buying group
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right, that the dynamics their deal
scoring, and then we want to be
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aware of churn. I wonder more
of a question from like what kind of
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pushback do you get when you move
to this sort of dashboard of truth,
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like for your marketing team or your
sales team, because I would assume this
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is a little bit of movement for
both right, because you're meeting in the
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middle. But what do you experience
when you implement something like this? Yeah,
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you know what I mean. On
the one hand, the numbers don't
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lie. On the one hand the
numbers are aligned with what you set up
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as the rules. So you do
have to keep looking at the numbers and
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challenging that exactly what they're telling you
and and make sure that you're not just
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looking backwards at how you set up
the ideal customer profile and how you set
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up your scoring models. But continue
to refine them. You know, as
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data gets better around, you know
what we're learning about customers and they're in
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market behavior, what we know about
them in terms of their you know,
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parmographics, demographics of the customer and
the contact data gets better. As we,
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you know, keep improving that information, we should be able to get
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better and better at aligning whether someone
should score a higher score versus a lower
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score in the spectrum. But,
as I said, unless you're having that
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next conversation. In our model with
sales, you know, you don't know
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that they're necessarily not able to be
an even more important customer in terms of
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revenue spend. You know, then
then somebody who scored a five. You
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know, it's really you have to
have yourself to have the love of conversation
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and our model, if you're in
kind of an SMB SASS model, you
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may not have that conversation. So
you better have the data because someone might
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be just choosing to be a you
know, an immediate trial and by the
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product, and that's where your turn
data comes in to play a lot more,
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because if they're not going to start, if you're not engaging them through
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email in an in product and you
don't make sure that they take those important
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steps to become an avid user of
the product, they could churn because you're
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not taking all those right steps or
you're maybe not getting the right person in
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the funnel. So it really depends
on the type of B Tob business that
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you're in, for sure, but
the data can help. But at the
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end of the day it can't only
be about the data. Yep, yeah,
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it's got to be good mix.
I really appreciate your insights. This
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00:29:00.259 --> 00:29:06.819
is a really insightful conversation with Monica
Sullivan. Give us a just a quick
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00:29:07.140 --> 00:29:10.089
summary here as we start to close, of what you guys do at demand
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00:29:10.130 --> 00:29:11.529
science. Would love to hear a
little bit about Your Business and what you
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00:29:11.569 --> 00:29:15.730
guys are up to. Yeah,
now it's it's an exciting ride so far
393
00:29:17.009 --> 00:29:19.769
and a journey ahead. You know, we've been growing like crazy. We
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have over one two hundred customers and
we at our core, or are be
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to be data company. But ultimately
we help our customers identify their best audience,
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00:29:30.279 --> 00:29:36.359
we help them activate, primarily opt
in permission leads and get them in
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00:29:36.440 --> 00:29:40.230
their funnel and we help them convert, you know, certainly with accurate data
398
00:29:40.230 --> 00:29:45.029
that helps them understand how likely they
are to convert. Things like I've mentioned
399
00:29:45.230 --> 00:29:49.309
confirmed connect and understanding where they've engaged
with phone calls and emails can help,
400
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as well as other buyer signals,
you know, and ultimately help them grow.
401
00:29:53.579 --> 00:29:57.700
You know, we're an advocate to
the marketer and the salesperson. There's
402
00:29:57.740 --> 00:30:02.579
a lot there are a lot of
players in the space that aren't delivering necessarily
403
00:30:02.619 --> 00:30:07.250
the same qualified lead that we are. Just given that we work harder to
404
00:30:07.329 --> 00:30:11.769
help filter out and make sure that
the right title, the right ideal customer
405
00:30:11.769 --> 00:30:15.529
profiles being met and what we delivered
to them, and it's a fun time.
406
00:30:15.809 --> 00:30:18.809
You know, you've probably seen a
lot about the category of B to
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00:30:18.849 --> 00:30:22.559
be data, and there's certainly a
still a lot of room to do a
408
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better job, for the sales and
marketing teams to come together with great data
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to really get aligned. You know, I'm excited about being able to deliver
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that, as we all are.
Yeah, I'm excited for the future.
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I think dad is in an interesting
place. Marketing and sales alignment is an
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interesting place and I'm glad there are
more and more conversations like this happening because
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hopefully it will just spur so much
more growth for the companies that are listening
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to this and for our organizations.
Right, ultimately, that's the goal,
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is growth. So, Monica,
thank you for joining us on this episode.
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For those that want to stay connected
with you, how can they do
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00:30:56.660 --> 00:31:00.539
that? Yeah, so for sure, Monica. Doubt Sullivan, a demand
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00:31:00.579 --> 00:31:06.369
sidencecom and my linkedin always there,
so happy to help engage in network.
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It's been a great experience. I'd
loved being here with you, BEN J
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so looking forward to coming back to
talk about BEB growth topics. That's right.
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Thank you so much for joining us
and yeah, you can connect with
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00:31:18.599 --> 00:31:22.720
me as well on Linkedin. Just
Search Benjie Block. We're always having these
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00:31:22.759 --> 00:31:26.160
types of conversations here on B tob
growth, so if you haven't subscribed to
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00:31:26.240 --> 00:31:29.559
the show, be sure to do
that and I will be back very soon
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00:31:29.799 --> 00:31:36.829
with another episode. Keep doing work
that matters. Is the decisionmaker for your
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00:31:36.869 --> 00:31:40.950
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