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More Data vs. More Deals - Part 1
Episode 197th March 2022 • Close The Loop • CallSource
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Kevin Dieny:

Hello, welcome to the Close The Loop podcast.

Kevin Dieny:

I'm your host, Kevin Dieny And today we're going to be talking

Kevin Dieny:

about more deals versus more data.

Kevin Dieny:

And this is one of those topics that came from internal discussions.

Kevin Dieny:

There's actually a whiteboard here with data and deals written on it and

Kevin Dieny:

arrows going to the left or to the right over which one is the better

Kevin Dieny:

use of time, better use of resources, a better priority to spend on it.

Kevin Dieny:

It's also one of those fun and interesting topics that,

Kevin Dieny:

can be a little controversial.

Kevin Dieny:

Out there.

Kevin Dieny:

A lot of, I think sales organizations will be like, why would we care about data at

Kevin Dieny:

the absence of deals or some, you know, operations people going, well, you can

Kevin Dieny:

get deals, but if we don't learn anything from it, we're, we're not able to help.

Kevin Dieny:

We're not able to do anything, you know, to contribute.

Kevin Dieny:

We're not able to help the sales team and in a meaningful way that we would provide.

Kevin Dieny:

Sales may counter and be like, well, how does data is going

Kevin Dieny:

to translate into value for us?

Kevin Dieny:

So this is a pretty back and forth one.

Kevin Dieny:

So we decided to bring this into a debate, sort of a discussion around,

Kevin Dieny:

you know, the counterpoints, the pros and cons of emphasizing data and

Kevin Dieny:

emphasizing, um, the sales need to, you know, Not gather so much information.

Kevin Dieny:

So just to ground, this we're not talking about, we're not going to be talking

Kevin Dieny:

about how organizations value data.

Kevin Dieny:

We are going to be focusing on how the sales organization, the sales

Kevin Dieny:

team within your business, the sales leader, the sales reps, anyone who's,

Kevin Dieny:

you know, selling to a customer or a patient, a consumer, anything like that.

Kevin Dieny:

The value that they have on and the way they look at data versus

Kevin Dieny:

maybe the rest of the organization.

Kevin Dieny:

Sometimes this clashes with sales and marketing, sometimes it

Kevin Dieny:

clashes with sales and operations.

Kevin Dieny:

It can be a clash it could be a clash everywhere.

Kevin Dieny:

This is a pretty hot topic.

Kevin Dieny:

So, uh, to bring this into the debates sphere, I am joined by Matt

Kevin Dieny:

Widmyer He's also my colleague here.

Kevin Dieny:

So welcome Matt.

Matt Widmyer:

Hey Kevin.

Matt Widmyer:

Hey guys.

Matt Widmyer:

Thanks for having me back.

Matt Widmyer:

Good to be back here.

Kevin Dieny:

So just to open this up a little bit, Matt, um,

Kevin Dieny:

we are, when we say data versus deals, we're kind of like, right.

Kevin Dieny:

Like we're talking a little bit more about intuitive-driven

Kevin Dieny:

selling versus data-driven selling.

Kevin Dieny:

That's closer to what we'd like to talk about if we're talking.

Kevin Dieny:

Okay.

Kevin Dieny:

would would I trade data for more deals?

Kevin Dieny:

I think everyone would say yes, right?

Kevin Dieny:

Matt.

Matt Widmyer:

Yeah absolutely yeah.

Kevin Dieny:

It's not exactly like, uh, it's not even a debate that, so what we're

Kevin Dieny:

really talking about is, okay, well, does data is data getting in the way of deals?

Kevin Dieny:

So Matt, what do you think of the whole data versus deals debate?

Matt Widmyer:

It makes me laugh every time.

Matt Widmyer:

Uh, I think data, data is one of those things where it's tricky to

Matt Widmyer:

talk about, because if you don't understand it, you're going to,

Matt Widmyer:

it seems like it's pretty useless.

Matt Widmyer:

And sometimes it is, but you don't really know whether it's gonna be useful or not

Matt Widmyer:

until you, until you, uh, measure It.

Matt Widmyer:

Right.

Matt Widmyer:

So you might end up with a lot of extra fields or a lot of extra data

Matt Widmyer:

points that you don't need, but you only know you don't need them

Matt Widmyer:

because you analyze it and everything.

Matt Widmyer:

So you don't know if you will need it at some point, but it's, um,

Matt Widmyer:

the data itself is we're playing with mathematics, the intuition

Matt Widmyer:

part, that's a psychological piece.

Matt Widmyer:

Right?

Matt Widmyer:

So if you're, if you're a football team and you want to try to get a first down

Matt Widmyer:

and you have the ball it's fourth and one.

Matt Widmyer:

And the data says that in this situation, um, you probably won't,

Matt Widmyer:

you know, get the first down based on your team's previous track record.

Matt Widmyer:

But in this game also, you have the brand new quarterback in the, maybe

Matt Widmyer:

the backup that replaced the starter.

Matt Widmyer:

There's a few other things going on.

Matt Widmyer:

The first half of the game went really well.

Matt Widmyer:

Um, in situations like that, I say, if I'm the head coach, I say, we go for it.

Matt Widmyer:

So there's a time and a place for both.

Matt Widmyer:

So neither one of them should be completely dismissed, but I feel

Matt Widmyer:

like if you're going, uh, they, they, they go hand in hand, but it always,

Matt Widmyer:

usually does go back to the data.

Matt Widmyer:

And if you had enough data on maybe on that brand new quarterback,

Matt Widmyer:

maybe you could then assess that a little bit better, but.

Matt Widmyer:

um You're not going to, unless you actually have data to rely

Matt Widmyer:

on, you're not, you're just going to have to make a gut call.

Kevin Dieny:

Yeah, you make a really good point.

Kevin Dieny:

I, I think that it's really important to note that we're not necessarily looking at

Kevin Dieny:

this, like, should we be a hundred percent intuition or a hundred percent data?

Kevin Dieny:

I think both extremes are bad, right?

Kevin Dieny:

Data is only going to tell you the information that's necessarily

Kevin Dieny:

happened in the past that's data is sort of in itself, historical it's.

Kevin Dieny:

It's what it is, is information that you've gathered.

Kevin Dieny:

That has happened in the past, right.

Kevin Dieny:

It's telling you what has occurred, what has happened, maybe what's happening

Kevin Dieny:

right this minute, um, to, to go into the future is requiring a forecast, right?

Kevin Dieny:

To see your impact on it requires you to measure, okay, well, I touched

Kevin Dieny:

this or I did this, and then, you know, data's going to tell you, okay.

Kevin Dieny:

After the fact what happened, the problem with data, a lot of

Kevin Dieny:

times is like, look at the look at the financial investors, right?

Kevin Dieny:

Like we have all this amazing plethora of data historically down to the milisecond

Kevin Dieny:

Around the trades that have happened, uh, on the stock exchange, but there's

Kevin Dieny:

no one that is able to perfectly predict where every trade is going, right.

Kevin Dieny:

Where every market price is going to be.

Kevin Dieny:

In fact, they have a hard time predicting even more than a few days or weeks

Kevin Dieny:

or months ahead of time like data.

Kevin Dieny:

So in a sense, data has its limitations and the intuition side has some

Kevin Dieny:

pretty stark Limitations as well.

Kevin Dieny:

I think, like you said, like the intuition of the coach and the football example

Kevin Dieny:

is based on their experience, it's based on their data in their own head.

Kevin Dieny:

It's based on a lot of skill sets and stuff they're evaluating in

Kevin Dieny:

the moment to make that decision.

Kevin Dieny:

Anyway, it's not like they're, you know, flipping a coin and going with that, like

Kevin Dieny:

pure chance or anything they're basing intuition is based a little bit on data.

Kevin Dieny:

So that's how do you see the difference between intuition and data-driven?

Matt Widmyer:

Yeah, I mean, I think, um, I think one is using logic and only

Matt Widmyer:

logic and the other one's using emotion.

Matt Widmyer:

Right?

Matt Widmyer:

And the data is using logic and the, um, the, the gut calls and the other piece

Matt Widmyer:

intuition is using the emotional thing.

Matt Widmyer:

I don't need data to tell me that if it's snowing outside to, to wear uh A jacket.

Matt Widmyer:

I'm probably gonna just do that.

Matt Widmyer:

Right.

Matt Widmyer:

Um, think that like, you know, I, I'm not dumb enough to, to walk

Matt Widmyer:

outside without my t-shirt on.

Matt Widmyer:

Right.

Matt Widmyer:

Because I can look outside and see that it's snowing.

Matt Widmyer:

So I think that a situation where somebody doesn't want to use

Matt Widmyer:

the data, they, they think that.

Matt Widmyer:

They have the answer already.

Matt Widmyer:

They don't need to bother looking at, it or in a lot of situations

Matt Widmyer:

based on my personal experience.

Matt Widmyer:

I think that, either they don't understand the data or they don't want

Matt Widmyer:

to take the time to understand the data.

Matt Widmyer:

They just want to move, move, move, and go.

Matt Widmyer:

So, um, fair.

Matt Widmyer:

Right.

Matt Widmyer:

If you're held to the fire with like a, you know, hard

Matt Widmyer:

quota or something like that.

Matt Widmyer:

But at the same time, uh, It's funny too.

Matt Widmyer:

Cause you know, you, you know, I was in marketing with you for a while and

Matt Widmyer:

I was on the sales team for a while.

Matt Widmyer:

Now I'm kind of in between, I mean, I'm technically on the sales team, but I'm

Matt Widmyer:

sitting now in between the marketing and the sales team and the marketing,

Matt Widmyer:

the marketing teams in general, I think wants to analyze everything and they want

Matt Widmyer:

data points with everything And sales.

Matt Widmyer:

People just want to go, go, go.

Matt Widmyer:

And I feel like.

Matt Widmyer:

Um I'm sitting in the middle.

Matt Widmyer:

I feel like I'm, you know, um sitting there with like two parents arguing

Matt Widmyer:

with each other and I'm just the kid sitting on the couch watching TV.

Matt Widmyer:

But, um, so that's, that's right.

Matt Widmyer:

Sometimes I feel like I don't even have the right to chime in, but, um,

Matt Widmyer:

I feel like if we, if we want to marry the best of both worlds, I think that

Matt Widmyer:

we do, um, If if it, it depends on so many different variables, it's not, um,

Matt Widmyer:

against not one or the other it's it's, um, really going to be based on, okay.

Matt Widmyer:

Is this person's track record, you know, or do they, when it comes to making a call

Matt Widmyer:

like this, um, do we go down the road?

Matt Widmyer:

There's they're suggesting we go down or do we sit here and stop and,

Matt Widmyer:

um, You know, take a look at things.

Matt Widmyer:

It's, it's just a tricky, it's a tricky one.

Matt Widmyer:

I always compare it to running.

Matt Widmyer:

Right.

Matt Widmyer:

So if your move move, move, you're going really fast.

Matt Widmyer:

At some point you have to slow down and take a breath or take a drink of water.

Matt Widmyer:

If you keep going, going, going.

Matt Widmyer:

And you're not really confidently knowing where you're going.

Matt Widmyer:

Um, you're only doing tactical work.

Matt Widmyer:

You're not doing any of the strategic stuff.

Matt Widmyer:

Right.

Matt Widmyer:

So it's, um, a lot of salespeople are okay.

Matt Widmyer:

with You know, minimum strategy, as long as there's things are always

Matt Widmyer:

moving and there's always action.

Matt Widmyer:

There's always volume.

Matt Widmyer:

Um, in high quantity things, marketing's usually the department

Matt Widmyer:

that wants to add the quality into the.

Matt Widmyer:

quantity So it's interesting though, but you know, I mean, we've how many fields

Matt Widmyer:

have we created that we, you know, it's and it does make it hard in honesty.

Matt Widmyer:

And in fairness, it does make it harder for some salespeople to be

Matt Widmyer:

like, to find the right fields.

Matt Widmyer:

They need to input stuff.

Matt Widmyer:

Like you could only configure a CRM to a certain degree where it's like,

Matt Widmyer:

oh man, I don't even know where to put the person's email or the first name.

Matt Widmyer:

Cause there's like so many other fields in here.

Matt Widmyer:

So.

Matt Widmyer:

It is exciting to have all the data points, but it is, you know, it is

Matt Widmyer:

one of those things where it's like, okay, what are we over measuring here?

Matt Widmyer:

Or what?

Kevin Dieny:

Yeah, yeah.

Kevin Dieny:

So you, you just hit on a lot of things, right?

Kevin Dieny:

So it, and to some degree, like you're, you're putting it, you're putting a

Kevin Dieny:

lot of this stuff out there in balance.

Kevin Dieny:

Like the, the need from the sales side of the, of any organization is to

Kevin Dieny:

generate revenue as quickly as possible.

Kevin Dieny:

And to do that, you know, given the resources and stuff they have,

Kevin Dieny:

which to them, a lot of times is time Like anything, that's

Kevin Dieny:

a relationship driven, right?

Kevin Dieny:

You're talking to other people.

Kevin Dieny:

Sometimes that takes time.

Kevin Dieny:

It's like an unavoidable thing.

Kevin Dieny:

Sometimes it's just like one call close Someone called in.

Kevin Dieny:

They wanted a service done and that's it.

Kevin Dieny:

So there's not really much relationship building there, but there is a

Kevin Dieny:

little bit, there is, there is some, there is like maybe a conversation

Kevin Dieny:

on a phone call that has to happen.

Kevin Dieny:

And so there might be data points.

Kevin Dieny:

around What happened on that call?

Kevin Dieny:

You know, where did that call come from?

Kevin Dieny:

Where are the good calls coming from?

Kevin Dieny:

Where the bad calls coming from, uh, who on the team is doing well with, you know,

Kevin Dieny:

converting customer or converting callers into customers who isn't doing as well?

Kevin Dieny:

How could we improve that?

Kevin Dieny:

The, lot of those, a lot of that need to, okay, we're doing well.

Kevin Dieny:

I'd like to do better to me.

Kevin Dieny:

It comes from like a data point of view, but there are a lot of

Kevin Dieny:

things that don't necessarily.

Kevin Dieny:

Come from data.

Kevin Dieny:

So the side, the sales sides, like asking the question, right?

Kevin Dieny:

Like, well, it's difficult to quantify the sales process, so why should we bother?

Matt Widmyer:

Yeah, yeah.

Matt Widmyer:

I mean, yeah, that's, that's the thing, right?

Matt Widmyer:

I mean, you could sit here and map out the stages and all that stuff.

Matt Widmyer:

And, um, at the end of the day, if they aren't being used and,

Matt Widmyer:

um, it doesn't really matter.

Matt Widmyer:

So it's usually the same, uh, if that's why the inputs have to

Matt Widmyer:

be very straight forward, right.

Matt Widmyer:

Because if they aren't straightforward, you're going to

Matt Widmyer:

have bogus inputs in those fields.

Matt Widmyer:

And then you're not going to be able to.

Matt Widmyer:

Um, you're not able to feel good about using the data the data's

Matt Widmyer:

not going to make it's not even going to be reliable anyway.

Matt Widmyer:

So.

Matt Widmyer:

If you're, but at the same time, that should be managed by somebody, right?

Matt Widmyer:

And whether it's a sales manager or marketing manager, or a combination

Matt Widmyer:

of both or sales ops or something, depending on the size of your

Matt Widmyer:

company, um, those, the way data gets inputted should be closely managed.

Matt Widmyer:

If there's things that should be.

Matt Widmyer:

in a CRM that are not in the CRM, you need to get them in this CRM otherwise.

Matt Widmyer:

Yeah.

Matt Widmyer:

It is going to be very hard to be able to use data, to be able

Matt Widmyer:

to make business decisions.

Matt Widmyer:

Right.

Matt Widmyer:

We've seen that on both on both sides.

Matt Widmyer:

Really?

Kevin Dieny:

Yeah.

Kevin Dieny:

So we prepared a lot of like things to go back and forth on this on.

Kevin Dieny:

But is there anything in, in what you were looking at Matt when researching

Kevin Dieny:

this topic, that for you is a tough nut to crack like something maybe on

Kevin Dieny:

either side of the debate that you know, too much data's impeding sales.

Kevin Dieny:

We should be a little bit more intuitive driven.

Kevin Dieny:

Or on the other side, look, data's king, you know, intuitive driven, keeps and

Kevin Dieny:

impacts, other teams from seeing stuff.

Kevin Dieny:

We should be gathering lots of information.

Kevin Dieny:

How does it has anything stuck out to you there?

Matt Widmyer:

Well, you want to start You always want to start with gathering

Matt Widmyer:

the information that you absolutely need.

Matt Widmyer:

And then once you get that piece down, you want to be able to,

Matt Widmyer:

okay, let's start introducing.

Matt Widmyer:

Maybe we start asking this one question capturing this one data

Matt Widmyer:

point Ooh That's interesting.

Matt Widmyer:

Let's start asking this question.

Matt Widmyer:

So I think it's, it's a general, very generally speaking, sitting in the

Matt Widmyer:

middle as the innocent child, again, with your parents arguing, I would say that.

Matt Widmyer:

Its this requires a great deal of patience from both sales and marketing,

Matt Widmyer:

because, um, how, and this is a fair question for any marketer or salesperson

Matt Widmyer:

listening to this, how much time have you actually spent trying to understand

Matt Widmyer:

the nuts and the bolts of the other side?

Matt Widmyer:

Right.

Matt Widmyer:

Um, based on my experience.

Matt Widmyer:

It it it doesn't, there's not a whole lot of that going on.

Matt Widmyer:

How often do marketer's sit with salespeople and listen to demos?

Matt Widmyer:

Listen to phone calls.

Matt Widmyer:

It doesn't happen very often and it's because they have their own stuff to do.

Matt Widmyer:

It's it's fair.

Matt Widmyer:

Right.

Matt Widmyer:

But at the same time, you aren't seeing salespeople sit back behind you.

Matt Widmyer:

Kevin, I've never seen a sales person sit behind you and kind of watch

Matt Widmyer:

your day to day and kind of look at the stuff that you go through or.

Matt Widmyer:

Even if you put data in front of them, they won't even know

Matt Widmyer:

where to start and understand it.

Matt Widmyer:

A lot of them, you know, a lot of them are not super Excel savvy or anything

Matt Widmyer:

like that, but, um, you know, something that just like the, the gray, even the

Matt Widmyer:

groundbreaking stuff, how can rely rely on something if it's not, if you're

Matt Widmyer:

we're not confident enough of the.

Matt Widmyer:

inputs Or, you know, how can we rely enough to be able to change anything

Matt Widmyer:

if we aren't even sure, absolutely sure about what's currently happening.

Matt Widmyer:

Right.

Matt Widmyer:

So I think that, you know, it is, um, I guess from your experience as a

Matt Widmyer:

marketer, I mean, what, what is the thing that, that, um, I guess what is your.

Matt Widmyer:

ask From a sales person that truly wants to understand, or what is it, I guess,

Matt Widmyer:

what is your pitch to a sales person?

Matt Widmyer:

Why it might make sense for them to truly understand everything that you go

Matt Widmyer:

through to crunch the data, because it's a big piece of it, of this whole thing.

Kevin Dieny:

Yeah.

Kevin Dieny:

Well, so there's this concept of like data maturity and that is the absolute

Kevin Dieny:

first step, I think, because in the way that the data maturity model works is.

Kevin Dieny:

uh The first question is usually, okay, what is the, what does the data say?

Kevin Dieny:

And it's basically like, well, we did $50,000 in sales.

Kevin Dieny:

Okay.

Kevin Dieny:

The next maturity level.

Kevin Dieny:

to to want to know more is when it's like, well, okay.

Kevin Dieny:

That that's what's happened, but I want to know a little bit better

Kevin Dieny:

about what caused that to happen?

Kevin Dieny:

I want to look in the past and see what were the sources

Kevin Dieny:

of the, let's say the sales.

Kevin Dieny:

And it's like, well, they're broken into products that could be broken

Kevin Dieny:

into different reps, different people, maybe different times.

Kevin Dieny:

There's lots of ways to break that down.

Kevin Dieny:

And then the next level of maturity is okay, now that we

Kevin Dieny:

know where things have come from.

Kevin Dieny:

We know maybe what campaigns it came from.

Kevin Dieny:

We know where we spent money and we know where has come out of that.

Kevin Dieny:

So you kind of know your inputs and outputs.

Kevin Dieny:

That is the third level of maturity, which is like called like a

Kevin Dieny:

forecasting or prediction, because then you're like, well, cool.

Kevin Dieny:

If we do the same thing, if we hold everything constant, it, we kind of

Kevin Dieny:

assume it will repeat itself again.

Kevin Dieny:

And then the last level of maturity is when it's like,

Kevin Dieny:

okay, we know what's happening.

Kevin Dieny:

We know where it's coming.

Kevin Dieny:

from And we can make predictions about what's going to happen, but let's

Kevin Dieny:

put some marketing budget over here.

Kevin Dieny:

Let's do a sales initiative over here.

Kevin Dieny:

Let's run a campaign.

Kevin Dieny:

Let's trim costs here because they're not working and let's put that much budget

Kevin Dieny:

here, or let's just trim costs at all to get a leaner, you know, end result.

Kevin Dieny:

And when you do things like that, that's the final level of

Kevin Dieny:

maturity when you're measuring your impact, when you make changes.

Kevin Dieny:

Right?

Kevin Dieny:

So.

Kevin Dieny:

Connecting with another organization and other team at the company is sort

Kevin Dieny:

of first assessing, okay, where's the maturity at And sometimes it's like,

Kevin Dieny:

look, I just want to know a number.

Kevin Dieny:

And sometimes it's, I want to know the sources of the number other times.

Kevin Dieny:

It's okay.

Kevin Dieny:

We, you know, how are we looking in the months ahead or what

Kevin Dieny:

are we planning in the future?

Kevin Dieny:

And other times it's okay, what can we do?

Kevin Dieny:

to Change this, you know, based on the historical information, I think

Kevin Dieny:

that this will See how you see how, there's different maturity levels there.

Kevin Dieny:

So on the marketing side, at least the way I look at it is at least

Kevin Dieny:

the way I approached it is okay.

Kevin Dieny:

What's the maturity level first.

Kevin Dieny:

And then second, I got to know what their goals are.

Kevin Dieny:

So what do I mean if I don't know what your goals are?

Kevin Dieny:

It's kind of hard for me to even begin the conversation, like, like, oh yeah.

Kevin Dieny:

I, I, I know I can help you cause I don't really didn't know what,

Kevin Dieny:

what, what helping you means.

Kevin Dieny:

So that's usually like that and that's, that seems like such a simple question,

Kevin Dieny:

a simple thing that everyone should just inherently know sales, just one

Kevin Dieny:

sales, but it's a little more than that.

Kevin Dieny:

Right?

Kevin Dieny:

Matt.

Matt Widmyer:

Yeah, it totally is.

Matt Widmyer:

I mean, it's sales wants sales.

Matt Widmyer:

That's great.

Matt Widmyer:

But how, how do we repeat and scale?

Matt Widmyer:

this Um, if you're not looking at data, which forecasts, if you're

Matt Widmyer:

doing any kind of a forecasting, you need to look at data and those inputs

Matt Widmyer:

need to be very accurate in order to be able to somewhat even ballpark

Matt Widmyer:

how your next month is going to be.

Matt Widmyer:

But if you're not, um, if you're just kind of living by the seat,

Matt Widmyer:

you know, flying by the seat of your pants, as they say, like it's, it's

Matt Widmyer:

kind of, every month is a crap shoot.

Matt Widmyer:

Uh, this guy might hit his numbers, but he might not.

Matt Widmyer:

I, I don't really know, but I guess if.

Matt Widmyer:

If um God willing, you know, this month, maybe not next month.

Matt Widmyer:

And it's just kind of like a guessing game every single month.

Matt Widmyer:

If you're using the data, you can turn it into a little bit more of like, okay, now

Matt Widmyer:

I'm technically managing sales, right?

Matt Widmyer:

Because I'm, I, I'm not gonna, um, throw it up.

Matt Widmyer:

I'm not throwing up a bunch of spaghetti up against the wall to

Matt Widmyer:

see what sticks, um, now knowing that, Hey, the data has shown.

Matt Widmyer:

us That, uh, we need, if you want more sales, next month, you need

Matt Widmyer:

to be prospecting more this month.

Matt Widmyer:

Right?

Matt Widmyer:

So even if this month is going great, cool.

Matt Widmyer:

Let's, let's keep going, keep doing what you're doing this month, but

Matt Widmyer:

next month is you're looking a little bit dry in your pipeline.

Matt Widmyer:

So, um, you should start planning into that because if you start planning

Matt Widmyer:

next month, next month, you're probably gonna miss your numbers,

Kevin Dieny:

Yeah, that I think one really cool thing you're describing there is.

Kevin Dieny:

Is when you break down what it really takes to make a sale for your company.

Kevin Dieny:

So if you, if you're looking at like, well to sell, I need

Kevin Dieny:

to collect payment information.

Kevin Dieny:

Okay.

Kevin Dieny:

To get that I need to have my rep or my person either on the phone

Kevin Dieny:

or in person, the customer or the patient, or whoever needs to know what

Kevin Dieny:

they're getting in, or have received the service that we've provided.

Kevin Dieny:

Okay.

Kevin Dieny:

How do we get there?

Kevin Dieny:

And if you just kind of plot your way from.

Kevin Dieny:

The sale backwards.

Kevin Dieny:

You can see all these little points and you're like, okay, these have to happen.

Kevin Dieny:

Maybe not necessarily in the, in the order, but these are maybe

Kevin Dieny:

some pertinent things that have to occur and that's called the

Kevin Dieny:

pipeline The way I understand it.

Kevin Dieny:

Or the journey customer journey or something like that.

Kevin Dieny:

Those points along the path are not always in your control Okay.

Kevin Dieny:

So the more in control they are, the more of an influence you have, right.

Kevin Dieny:

If you're like, well, I don't have any control over this then

Kevin Dieny:

there's really not a whole lot.

Kevin Dieny:

You can do, but let's say the marketing team is the one in control of that.

Kevin Dieny:

Right?

Kevin Dieny:

So, or if you don't have a marketing team an agency, if

Kevin Dieny:

you don't have an agency, okay.

Kevin Dieny:

Someone is in charge of some, you know, putting on a marketing hat.

Kevin Dieny:

So that's their job.

Kevin Dieny:

Someone's got to own each point along that journey.

Kevin Dieny:

And so.

Kevin Dieny:

If we're not, if we're not, you know, going along that journey to see what

Kevin Dieny:

can help, it's not, it may not be a hundred percent clear how data's

Kevin Dieny:

going to help your business at all.

Kevin Dieny:

Right.

Kevin Dieny:

And it's like, well, look it selling is a over selling as an in-person over

Kevin Dieny:

the phone, human, to human interaction.

Kevin Dieny:

What does data have to do with any of that?

Kevin Dieny:

So, uh, well, okay.

Kevin Dieny:

If you know, if to make a sale, you need to have a phone call first.

Kevin Dieny:

Okay.

Kevin Dieny:

How do we get more phone calls?

Kevin Dieny:

Because if you, if you're, if you're closing, let's say 20% of phone calls or

Kevin Dieny:

30% of phone calls that are coming in.

Kevin Dieny:

Great.

Kevin Dieny:

Will that stay the same.

Kevin Dieny:

If we add 20 more calls to your thing to your pipeline.

Kevin Dieny:

Okay, great.

Kevin Dieny:

It will.

Kevin Dieny:

So how do we get the 20 more?

Kevin Dieny:

Okay.

Kevin Dieny:

That may not be a hundred percent of selling activity that you're, that

Kevin Dieny:

we're talking about here, but that's how teams, that's how you, that's the very

Kevin Dieny:

simple way to describe how a team would work with sales, you know, like to, to

Kevin Dieny:

improve the selling, using data and.

Kevin Dieny:

Some of that one of the big things.

Kevin Dieny:

One of the things I was going to ask you about was data gathering.

Kevin Dieny:

Okay.

Kevin Dieny:

So this is where it leads to.

Kevin Dieny:

Right.

Kevin Dieny:

So like great.

Kevin Dieny:

It seems like we've made a strong case for gathering data.

Kevin Dieny:

Okay.

Kevin Dieny:

But does data gathering get in the way of selling,

Matt Widmyer:

Um, it shouldn't, but it does.

Matt Widmyer:

I mean, it's try having a conversation with a sales person who's struggling

Matt Widmyer:

that month and saying, Hey, um, I need you to, uh, we, we

Matt Widmyer:

added a couple more data points.

Matt Widmyer:

It doesn't look like you're filling this one out.

Matt Widmyer:

Um It doesn't, it's not going to happen because it's there, it's already

Matt Widmyer:

too late to have that conversation.

Matt Widmyer:

Right.

Matt Widmyer:

Um, any bit of extra time and salespeople are kind of known for not making the

Matt Widmyer:

best use of every minute of every day, you know, it's exhausting, right?

Matt Widmyer:

So they take breaks and they walk around and they, you know, they

Matt Widmyer:

just kind of need to recharge their batteries a little more often.

Matt Widmyer:

Right.

Matt Widmyer:

They deal with a lot of rejection.

Matt Widmyer:

That's why, um, It does, and it is, uh, It's when marketing

Matt Widmyer:

meets with salespeople, or if, if these internal conversations are

Matt Widmyer:

happening, you got to bring value to the table and you have to make it.

Matt Widmyer:

Every person every person walking out of that meeting

Matt Widmyer:

should have their minds blown.

Matt Widmyer:

Um, that's why you probably don't want to have it daily or even

Matt Widmyer:

weekly, or sometimes even monthly.

Matt Widmyer:

You want to have, Hey, we've gathered enough data.

Matt Widmyer:

This is what's happening.

Matt Widmyer:

This is what needs to change.

Matt Widmyer:

If, if you want to, because.

Matt Widmyer:

Assuming you've now gotten to a point where you understand their goals.

Matt Widmyer:

If you keep operating on the path you're currently on, you're

Matt Widmyer:

not going to make your goals.

Matt Widmyer:

That's the message they need to hear.

Matt Widmyer:

Right?

Matt Widmyer:

And if you want to reach, and surpass your goals, then these

Matt Widmyer:

changes are critical to make.

Matt Widmyer:

So if you're, if you're a sales, if I'm a sales person, You

Matt Widmyer:

don't have to say it like that.

Matt Widmyer:

But if, if I'm a sales person, my both of my ears are open

Matt Widmyer:

and I'm listening too right.

Matt Widmyer:

And taking notes and making those changes because I want to hit my numbers.

Matt Widmyer:

I want to keep a roof over my head.

Kevin Dieny:

Yeah, a lot of this is communication capability, but

Kevin Dieny:

at the same time, there's a, so yeah, there's empathy involved.

Kevin Dieny:

But what we're also talking about is like generally viewed as like the greater

Kevin Dieny:

good, like the idea that success for the company is probably the penultimate goal.

Kevin Dieny:

So the company has some goal or thing that they have to achieve.

Kevin Dieny:

to stay alive And that's everyone that, that affects everyone.

Kevin Dieny:

And then there's, you know, marketing is parsing to do what selling teams are

Kevin Dieny:

parsing to do support, um, technicians, um, doctors, staff, uh, accounting.

Kevin Dieny:

There's a lot of different functional things that are happening in the business,

Kevin Dieny:

and they all have like a specialized.

Kevin Dieny:

role Right.

Kevin Dieny:

So everyone's doing their part, like a, like a football team.

Kevin Dieny:

Everyone's doing a different role in the team to make sure

Kevin Dieny:

the whole team is effective.

Kevin Dieny:

Now sometimes like a person, a person who isn't necessarily holding the

Kevin Dieny:

key, carrying their weight, I think is the right way to describe this.

Kevin Dieny:

A team or position a role is not performing as well.

Kevin Dieny:

It can impact the whole.

Kevin Dieny:

team In some cases, the team can kind of carry the weight like this

Kevin Dieny:

person's job or role is not as great.

Kevin Dieny:

We made plays like on a football team.

Kevin Dieny:

We made plays that don't incorporate them as much.

Kevin Dieny:

Cause it's not our strongest part.

Kevin Dieny:

You know, we're gonna utilize our strengths.

Kevin Dieny:

Right.

Kevin Dieny:

And so it gets a little bit, it gets a little hard, let's say for a team, like,

Kevin Dieny:

let's say, let's go, I'll go switch on the other side for a second here.

Kevin Dieny:

On the marketing side, there may be data points that if I had them,

Kevin Dieny:

I could do my job a lot better.

Kevin Dieny:

And that's important to me, maybe important to the whole marketing

Kevin Dieny:

team on the other side, on the sales selling side, right on the

Kevin Dieny:

sales team side, those data points.

Kevin Dieny:

Those maybe two or three more data points are not just two or three more.

Kevin Dieny:

There, there are two or three more on top of, let's say a mountain

Kevin Dieny:

of other things I'm having to do.

Kevin Dieny:

Uh, maybe a backlog of stuff I am behind anyway on.

Kevin Dieny:

So how am I going to, you know, I have more important priorities than that?

Kevin Dieny:

So it, the, the tug of war.

Kevin Dieny:

Can happen because on the marketing side, it's look, this is critical and

Kevin Dieny:

essential and what I need to do our job better on the selling side it's well,

Kevin Dieny:

look, there's no way, you know, like you're, if you're going to get data at

Kevin Dieny:

all, it's going to be minimal and then it's not going to be as important to you.

Kevin Dieny:

So why even ask us to do it and that tug of war goes back and forth.

Kevin Dieny:

So there is an aspect here where the top down the management comes into play.

Kevin Dieny:

So what do do, what thoughts do you have on how.

Kevin Dieny:

important All of this is for like the culture and management of a company

Kevin Dieny:

to decide how much they want to be intuitive-driven or data-driven.

Matt Widmyer:

Yeah, it's, it's tricky, right?

Matt Widmyer:

The example you just gave it's, um, you know, Hey, I need this, I need

Matt Widmyer:

this data point to do my job better.

Matt Widmyer:

Um, that's great for you, but I don't think, I mean, really right

Matt Widmyer:

at that point, it is, it is about you, but full circle, right?

Matt Widmyer:

It's going to end up being.

Matt Widmyer:

About them.

Matt Widmyer:

Right.

Matt Widmyer:

They just don't.

Matt Widmyer:

I think that the short-term is like, okay, I don't care.

Matt Widmyer:

I don't want, you know, it's just more noise to me

Matt Widmyer:

basically, if I'm a salesperson.

Matt Widmyer:

So if I'm a sales person, what do, I mean, I guess I'm going to turn this

Matt Widmyer:

question back over to you because if I'm a sales person, why do I care?

Matt Widmyer:

If Kevin can do his job better By introducing this new field

Matt Widmyer:

or whatever it is, right.

Matt Widmyer:

Why, why should I, why should I care?

Matt Widmyer:

And it, of course, it's going to depend on what the data point is or whatever,

Matt Widmyer:

but like what, what are you going to do now that you have this new data point?

Matt Widmyer:

Kevin?

Kevin Dieny:

Yeah.

Kevin Dieny:

So there's two things that are gonna happen, right?

Kevin Dieny:

So the first one is we lose the battle because we're not able to explain to

Kevin Dieny:

them the value that they would get out of it, the organization would get

Kevin Dieny:

out of it, their management, their leadership, it doesn't, it doesn't hit

Kevin Dieny:

that point where it becomes a necessity and adopted, and that that's one outcome.

Kevin Dieny:

And that, that can be a failure on our, on any teams.

Kevin Dieny:

part To not fully understand, let's say what the data is, how it

Kevin Dieny:

contributes to the organization.

Kevin Dieny:

That could be, you know, the onus of it is, is primarily, I think

Kevin Dieny:

the responsibility is on the marketing team to really explain,

Kevin Dieny:

okay, here's why this is important.

Kevin Dieny:

Here's why this is going to help us.

Kevin Dieny:

This is how it's going to help you help us.

Kevin Dieny:

There's a lot of things.

Kevin Dieny:

That's why I'm being kind of general here, but there's a lot of ways that data that

Kevin Dieny:

it helps marketing ends up helping sales.

Kevin Dieny:

And that could be.

Kevin Dieny:

like More more leads, more, uh, quality.

Kevin Dieny:

That could be a better return.

Kevin Dieny:

That could be faster deals that could be higher margin.

Kevin Dieny:

There's a lot there that it could also just be us seeing whether

Kevin Dieny:

we're spending our budget.

Kevin Dieny:

Right.

Kevin Dieny:

And so, you know, that helps us not to overwhelm them with, with

Kevin Dieny:

crud, with time-wasting stuff.

Kevin Dieny:

Now, the other side, the other, the other direction it goes is it is adopted.

Kevin Dieny:

So they've agreed.

Kevin Dieny:

Okay.

Kevin Dieny:

We'll take on these other data points.

Kevin Dieny:

Now, those, like you mentioned before, those better be valuable.

Kevin Dieny:

Those better be interesting.

Kevin Dieny:

Those better be contributing.

Kevin Dieny:

Cause you know, if I think in three or six months down the line, if we say, Hey,

Kevin Dieny:

you know, we ended up gathering enough of this information, but it actually doesn't

Kevin Dieny:

help or improve what we do at that point.

Kevin Dieny:

You should cut them out, should drop them out.

Kevin Dieny:

It's like they're not needed anymore.

Kevin Dieny:

If they do end up having a deriving value You may owe it to them to

Kevin Dieny:

tell everyone here is what we've received and gotten out of this.

Kevin Dieny:

There you might also, you might also get to the point where they're now

Kevin Dieny:

really happy and excited because they're seeing the difference

Kevin Dieny:

if they are really excited about what they are now seeing in their pipeline

Kevin Dieny:

and some result, they may be the first ones to come over and say, Hey,

Kevin Dieny:

this is this something's changed.

Kevin Dieny:

Some things better.

Kevin Dieny:

Uh, most often you only hear about the bad stuff.

Kevin Dieny:

You're only going to hear, oh man, things are terrible.

Kevin Dieny:

Now things are not working out.

Kevin Dieny:

Um, it's just because it's more salient, it's just, you know, more recency bias.

Kevin Dieny:

There's more it's, it's when you're used to rejection all the time, but

Kevin Dieny:

you get like strings of them and you know where they're coming from.

Kevin Dieny:

Oh man, these are all marketing ones.

Kevin Dieny:

Like, man, they're just terrible.

Kevin Dieny:

That anecdotal feedback can can come over.

Kevin Dieny:

The data can say, Hey, these are actually better, but an individual's premise

Kevin Dieny:

could say, no, these are terrible.

Kevin Dieny:

So sometimes at the end of the day, data kind of wins arguments data

Kevin Dieny:

can prove or show or be the, uh, the voice that is not biased in a sense.

Kevin Dieny:

It can be the thing that.

Kevin Dieny:

Proves to everyone.

Kevin Dieny:

No, this is working.

Kevin Dieny:

This is needed.

Kevin Dieny:

And one, sometimes it takes one battle at a time.

Kevin Dieny:

I, I think when you try to fight too many things at once, you're

Kevin Dieny:

going to lose from either side.

Kevin Dieny:

That's all for part one, stay tuned next week for the thrilling

Kevin Dieny:

conclusion of the episode.

Kevin Dieny:

Thanks for listening.

Kevin Dieny:

And we hope you're getting a lot out of each and every episode that we do.

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