Mark Shockley & Ian Faison

Replacing Anecdotes with Data


On this episode, Mark talks about being the sole RevOps team member at his startup, how he collaborates with sales and marketing teams, what metrics he cares about most, and much more.



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[MUSIC]

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Welcome to the Rise of RevOps.

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I'm Ian FaZe on CEO of Cast Me in Studios.

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And today I'm joined by a special guest, Mark, how are you?

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>> Drink it, Ian, how are you doing?

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>> Great to have you on the show.

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Excited to chat with you today and learn all about RevOps at Embrace.

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So let's get started.

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What does the company do?

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>> Very simply Embrace is a mobile observability platform for all mobile

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devices.

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If you are an engineer and don't understand why you're at scratching,

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we give you that information.

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>> Awesome.

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What are the types of companies that you all sell to?

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Who are your customers?

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>> It's varied across industries.

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We work with app only or mobile first companies.

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Home Depot is a customer of ours.

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PNG, Hilton, they all utilize us to ensure their mobile app is working

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effectively 100% of the time.

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>> And tell me a little bit about your RevOps team,

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like how are you all organized?

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>> So today we are a startup.

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We just released series B this past summer.

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And I came in right before that raise.

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Today, RevOps is structured where I'm the sole ops person.

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And that's due to our size and scale at the moment.

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So I'm responsible for all things revenue operations,

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looking at 10,000 feet thinking strategically, but also at one foot double.

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Occasionally in Salesforce updating records myself.

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>> Awesome.

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>> And tell me about your first 90 days in this role.

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What was it like for your mindset?

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>> I mean, going into it, especially because we were at a point of scale, but

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yet still young.

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A really main focus for us was ensuring that our business systems were in place

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and

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set up in a way that would allow us to essentially capture data in the future

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or

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really set up for the future of our company.

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And so the first 90 days was thinking through the architecture of our business

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systems.

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And also assessing the business process that were in place and

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needed to be in place for our future.

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>> All right, let's get to our first segment, Rev Obstacles, where we talk

2:37

about all

2:37

the tough parts of RevOps.

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What's the hardest problem RevOps problem that you faced in the last six months

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or so?

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>> A constant problem that we're always trying to face in RevOps is ensuring

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that

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our data is utilized appropriately, which also means ensuring that reps are

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able to

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input the information that we need in Salesforce.

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But let me tell you, one thing that SalesOps people, RevOps people love to say

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is,

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it's like our favorite saying.

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You can add it to any list of sayings that we love to say.

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And if it's not in Salesforce, it doesn't exist.

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And what that essentially means is that Salesforce is the record of truth.

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And we want it to be the record of truth.

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But this requires a few things that requires reps to input information.

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But we also don't want to burden the reps at the same time.

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And we want to be able to ensure that the information that we're leveraging

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is can be useful and beneficial to us.

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And so how do we reduce administrative burden on the rep but

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still gain insight into that at the input?

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And that's a hard balance to sort of figure out.

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And so that's one thing that we're constantly thinking about in this role.

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>> I love it, yeah.

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I mean, if it doesn't happen in Salesforce,

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it doesn't happen is pretty classic at this point.

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I'm curious to talk about RevOps being kind of like this zipper,

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between sales, marketing and customer success.

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How do you balance kind of supporting sales, supporting marketing and CS?

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>> The importance of RevOps is really to bring these groups together.

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It's the ability to bust silos.

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And part of that is regularly meeting with leaders within these three

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departments

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to ensure that we are aligned, to ensure that no one is going off siloing.

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And I am essentially in many ways the glue that brings everybody together.

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I might oversee a project or sometimes I'm just simply informing these

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departments

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what other departments are doing to ensure that it's aligned with our overall

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goals.

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>> Specifically as it relates to sales,

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being a sales ops person for a while.

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How did you kind of lean that way with your thinking of having to be more sales

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ops?

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How does revenue operations kind of expand the role of just sales ops?

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>> That's an interesting question.

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Because it's more than just thinking sales first.

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Though at the end of the day, we're focused on revenue retention.

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We're focused on closing new business and

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in marketing, we're really focused on converting those top and final leads and

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booking meetings.

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The end goal though is still more revenue.

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And that's in many ways the North Star.

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Ensuring that whatever department is heading up,

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that our goals are aligned in that way.

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So, even though I would say even with Red Ops in general,

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it's really interesting because you see a lot of Red Ops professionals might

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just

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be sales ops people who are calling themselves Red Ops.

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It's not uncommon.

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>> Sure.

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>> And they're taking on these an expanded role.

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And so with that, I mean thinking about marketing or even customer success is

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really just thinking about those main goals of those three departments.

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And ensuring that those goals are met.

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So.

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>> All right, let's get to our next segment here.

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This is the tool shed where we're talking tool spreadsheets, metrics.

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Just like everybody's favorite tool qualified.

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No B2B tool shed is complete without qualified pipeline cloud.

6:42

Go to qualified.com right now and check them out.

6:45

Mark, tell me what's in your tool shed?

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What's the software?

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What are the dashboards?

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What are the systems that you're spending the most time in?

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>> Of course, a CRM that's like the heart and soul of revenue operations.

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But I mean, the tech stack is more than just cool tools.

7:02

The tech stack is the foundation of your data.

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And in many ways, the foundation of many process that can be automated.

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And so it's more than just a CRM and a marketing automation system or a kicking

7:19

in system.

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We have all of those things.

7:21

We use Marchetto, we use Salesforce.

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But we also look for tools that in many ways are add-ons that can't be

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maybe leveraged natively in Salesforce.

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And the goal of doing this is to ensure that reps and

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users like myself aren't doing a ton of manual work.

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One goal of revenue operations is always to automate, make more efficient.

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And so when we can use leveraged tools that create contacts in Salesforce or

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write back activity in Salesforce, show us intent of people who are on our

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website.

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It automatically assign tickets.

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It's something that helps expand capacity for the team, which means we can do

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more

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or focus on other things like actually going into the data and

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finding insights that can shift in shape.

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How we do business?

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>> And is there like one tool that you started using in the past few months or

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recently that you're like, wow, this is something that pretty incredible?

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>> I will definitely get on the bandwagon of a lot of

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folks who are using gong or a choreist or even not related, but

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outreach is also great in terms of the main tasks.

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But for outreach to really,

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to have a tool to give you insights really into the sales call and

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to tell you what the rep is saying and coach them live.

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It has been pretty useful.

8:52

And in fact, we were able to utilize, we track certain words,

8:56

sales rep say, or the prospect says, and we call it out on the call or

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feed it back into Salesforce reports to try to see if there's any sort of

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variable or keyword or some sort of indicator that can help us on the sales

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call in terms of converting it to the next stage or even closing.

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>> What's the most important metrics that matter to you?

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What are you constantly obsessing about?

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>> Yeah, it's interesting.

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RevOps is, there's no magic metric.

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There's no perfect number that's going to tell you everything that you need to

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know.

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I think of it like, if I bring my car into a mechanic and

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I say, hey, my car's not running, the mechanic might check any number of things

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from the belt to the starter to whether or not he'd even has gas.

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In RevOps is the same way, there's any number of metrics that I need to look at

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from top of funnel to renewal to mid funnel to sort of understand what is

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performing well.

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Oftentimes, the day to day is just ensuring that the cogs are running in the

10:07

machine

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and ensuring the wheels are greased here and there.

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But other days, it's identifying proactively where there might be a problem in

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the future.

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So that being said, one metric that I mean,

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I love to analyze the pipeline and understand why and how our pipelines perform

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in a certain way

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is looking at win rate by stage and any variant of it.

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And by variant, I mean adding in a different variable or slicing it by a

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different category,

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such as rep, SDR, overtime, lead source.

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And from there, we can start to understand why pipeline converts a certain way

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through each stage of the sales cycle.

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Is it a particular lead source?

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Is it a particular behavior?

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Is, are we getting more efficient over time?

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All of those things can help really give us insight into why we're performing

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in a certain way.

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And I've found it to be really useful.

11:06

Yeah, do you have an example of that?

11:07

Something that was happening in the pipeline that you saw wasn't working and

11:13

how you fixed it?

11:15

Yes, I can think of an example where there was a particular lead source that we

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were setting

11:22

meetings from.

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And we were able to set meetings from these lead sources, but we weren't

11:27

converting them

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once they got to demo.

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And it was really interesting because you could narrow in on that.

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It was true across all reps and it was true across time.

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And so looking deeper, we could then start to understand that's the lead source

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of it.

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We don't want to put our poker chips in.

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We don't want to waste resources on that.

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And by essentially eliminating it, not only does our conversion rate increase

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because

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of that lead source dropped, but we end up at the end of the day and that's

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going to

12:00

need money on that unverified, not good lead source.

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What about something that you noticed that was working and you're like,

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oh, we want to triple down on this?

12:16

So thinking back to prior experiences, there was an interesting, once you get

12:24

micro level,

12:25

you can really start to get more insights.

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But there's not always the time and the day to be able to take on a full

12:31

research project,

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especially at the activity level.

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But one particular insight that was interesting was we found that there was a

12:44

particular message

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that if we sent to a customer at a very particular time in the funnel, right

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before they were

12:52

set to buy essentially, that the conversion nearly doubled.

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And it was only through analyzing really all of our activity at all times in

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the sales cycle

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and the specific messaging that we were able to hone in on that exact message.

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And it had that exact time, which was also key.

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But through that ultimately led to higher conversion, which meant more

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opportunities and more closes.

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What is your relationship with spreadsheets?

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Is it healthy?

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Not so healthy.

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I mean, it's as healthy as it needs to be.

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I would probably answer that question.

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Do you have a top three spreadsheets that you have as tabs open on your

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computer right now?

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I mean, I do.

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I have a lot of spreadsheets open from our, I mean, and I'm going to say this,

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but I don't necessarily think it's best practice.

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It's, you know, I have a forecast up.

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I have an hour except that I'm working on and I have some,

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I have some complaints up that I'm also working on.

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But here's the thing when it comes to spreadsheets is that ideally revenue

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operations is a central hub

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of data.

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We oversee that source of truth that is data.

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We built it, we curated it, and ultimately we own the analysis of it.

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And as soon as we start to put something in a spreadsheet,

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we start to separate it from the source of truth.

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And there start to then become embellishments or objectivity gets scrambled.

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And it's like a game of telephone where each degree removed from that source of

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truth

14:45

becomes a more verb, jumpable version of its previous self.

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And so ideally, I'm not working out of a spreadsheet.

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Ideally, it's my BI tool or it's my Salesforce instance that can do the

15:00

aggregation of data

15:01

that I needed to do.

15:02

However, when that's not possible, it's a, we own a spreadsheet.

15:08

And we do that level of analysis, always be mindful and careful of how it might

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spread

15:14

and who might get a hold of it.

15:17

Yeah.

15:19

That's your right point.

15:20

Any, anything particularly cool you're doing with data right now or any types

15:27

of analysis?

15:28

I mean, at all times, I mean, it's always looking.

15:32

It's always, there's always a dashboard that I'm looking at,

15:37

that our head of sales, head of marketing, head of customer success, that we

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all look at numbers.

15:40

But what usually happens is there's a number that is off or something's

15:48

different and it leads to more questions.

15:50

It's a matter of why is this the way it is at the moment.

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And so one thing that we're looking at is, one thing that we've been looking at

16:01

recently,

16:01

it's really interesting is the number of questions reps ask on a call.

16:05

And we indicated that that is a level of success for us.

16:11

Are they being curious and inquisitive and were able to measure that?

16:16

And it's really interesting how it's what we've seen is its grown quarter over

16:20

quarter.

16:20

And which lets us know that reps, when they ask questions, they're not

16:30

necessarily

16:30

pitching. They're trying to figure out more and they're trying to figure out,

16:33

understand the problems of our prospects and customers.

16:36

And so that's what we want out of them.

16:37

So to be able to see that has been good.

16:41

That's really awesome.

16:43

That's a great insight.

16:44

I mean, it's kind of one of those things that we always intuitively feel like,

16:47

oh, the best reps, listen, but it's cool to kind of put data behind that.

16:52

Any spreadsheet tip that you got for the audience?

16:59

Yes, I have a couple.

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I mean, there's one, I mean, XLOOKUP, you know, is replaced with the lookup and

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index match.

17:08

But that's, I mean, that's kind of an update as of now.

17:12

You know, those great add-in I use for Google Sheets that, and XL has the same

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capability of just bringing data directly in from Salesforce.

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And anything that Salesforce can't aggregate, I can just repopulate some data

17:27

and then Excel spreadsheet.

17:28

What's the add-in?

17:30

Grief at Salesforce for Google Sheets.

17:36

If you go to the add-in store and Google Sheets and search Salesforce,

17:42

you should be able to find them.

17:43

Any blind spots that you have in terms of like stuff that you want to measure

17:49

better

17:50

or stuff that you're working on?

17:51

Yes, because as repops, I want to be able to say with confidence every time

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that

17:58

data has a solution.

18:00

And it would sort of really interesting where I will go ahead to head to

18:03

my head of sales or head of marketing is especially my head of sales because

18:07

anecdotally,

18:08

he has been on calls.

18:09

Sales leaders know how to sell.

18:12

And it's like, it's like Moneyball.

18:14

It's like that scene in Moneyball where the scouts are analyzing the batters

18:20

and they say,

18:20

he doesn't swing right.

18:22

And, you know, I'm there and I'm like, well, I have data that says he gets on

18:26

base a ton of times.

18:27

And I want to be able to leverage data to sort of bypass or bring new points of

18:32

perspective to the

18:33

table.

18:34

But with my head of sales and in selling and marketing general, sometimes there

18:40

's just

18:40

gaps in data.

18:41

Sometimes there's things that data can't yet tell us.

18:44

There might be an opportunity that goes to close the last one day.

18:49

And it, there's nothing that could have really foreseen that in the data.

18:53

And our forecast to say that deal is going to die that day.

18:56

It was just something that just happened.

19:00

I would love for one day for data to replace the anecdotes.

19:06

And we live on Moneyball.

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I don't think that it's purely going to be that.

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And I'm sure the sales experts out there don't even want that future.

19:15

But I think it's something that for me as Red Lobster excites me.

19:19

We kind of touched on this a little bit about some tools that they use a lot,

19:24

but anything that

19:25

and I know obviously CRM and stuff like that, but anything that our audience

19:31

might not know of,

19:32

that you can't live without.

19:33

Other than what's been mentioned, we use salesdirector.ai, which is similar to

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people.ai.

19:39

What I love about this tool is it has the ability to, besides just create, it's

19:47

an activity tracker

19:48

that logs online, typically in Salesforce.

19:50

And that's one thing.

19:51

But oftentimes we're left with who is the sales rep talking to?

19:55

And the rep gets

19:56

tasked with inputting and creating new contacts in Salesforce.

20:01

And it's usually at a level where the deal is mid-flight and new contacts are

20:09

being introduced.

20:09

These are contacts that marketing would have picked up, but we would have added

20:12

through on the marketing side.

20:14

And instead of the rep manually creating this task and being bogged down with

20:20

the

20:20

administrative burden of doing this, we are able to use utilized salesdirector.

20:27

ai to

20:28

create this contact force and it attaches it to the opportunity in a compact

20:35

role.

20:36

And it's incredibly useful.

20:38

So now there's no gaps in who our reps are talking to and the personas they're

20:44

talking to,

20:44

which ultimately feeds back insights into marketing.

20:47

Because we want to know the titles that our sales reps are talking to,

20:51

who are they getting the deal done with?

20:52

So we definitely love that tool.

20:56

There's another tool for LinkedIn that we use that helps us find contacts

21:03

and contact information called Tri-Prospect.

21:07

And that has been very useful for our research team to help find new leads.

21:16

I love it. Great stuff. Great tool shed over there at Embrace.

21:22

That is for sure.

21:23

Okay, let's get to our final segment.

21:27

Quick hits, quick questions and quick answers.

21:30

Number one, do you have a favorite podcast or TV show or book that you've been

21:41

checking out

21:42

recently?

21:43

The Rise of RevOps is now my new favorite.

21:45

I love what VCs are thinking about because I'm not often involved.

21:55

I'm at the ground level working.

21:56

So any like A6VZ had a good podcast for a while that really gave me perspective

22:04

from their angle from the VC point of view, what they're looking at.

22:11

But I mean, that's in terms of professionally, that's I found that one to be

22:16

pretty helpful.

22:16

Do you have a RevOps prediction for the future?

22:24

Yes, and that is probably a theme of what I've spoken to already.

22:30

And that is more data and more tools primarily to inform us in ways that we don

22:36

't know about,

22:37

primarily to give us insight into things that we don't know about and to

22:43

automate the test that

22:44

can be automated.

22:45

I could see a future where a tool like Gong might even be able to read our

22:52

facial expressions and

22:54

the tonality of a voice to then query a back-and-dead database and inform the

23:00

rep live,

23:01

whether or not the word they just said or how they said it helped them in any

23:06

way or will help them.

23:07

And so I can see coaching live getting better.

23:11

Do you have a favorite cartoon character in history?

23:16

I mean, the entire history is pretty broad.

23:23

I mean, today, I mean, I've always loved South Park for its creativity.

23:31

So it's hard to locate one because that show has almost no main character than

23:36

both.

23:36

But they've all been great.

23:39

Food Chef to Kenny, to Carmen.

23:42

What about favorite food to eat with your hands?

23:47

I mean, it all can be eaten with your hands.

23:52

It should be eaten with two shet.

23:53

It should be eaten with no rules around it.

23:56

If you really love the food, why put a barrier between you and why put a utens

24:02

il there to slow you down?

24:05

But pizza.

24:07

Pizza.

24:08

If you could make any animal the correct size that you could write it, what

24:16

animal would you choose?

24:17

Probably a butterfly or a dragonfly.

24:23

Just because the flapping is different than a bird, it's not necessarily gl

24:31

iding.

24:31

It's intense sports.

24:33

It's aesthetic.

24:35

I like that.

24:37

That's a great answer.

24:38

What would be your best advice for someone who is a brand new head of rev-ops?

24:45

I would say focus for sure.

24:50

If you're in a startup coming on as that first hire to definitely focus on the

24:55

foundation of

24:57

your process and your tools to hopefully ensure that the future,

25:05

hopefully ensure that in the future you can really leverage what you've built

25:10

out and the data that

25:12

you've essentially built out.

25:13

Any misconceptions about rev-ops that you want to clear up here today before we

25:19

get out of here?

25:20

I mean, yeah, I mean, the sales rep's out there.

25:24

Yes.

25:24

I mean, one, if it's not in sales force, it doesn't exist.

25:29

This is true.

25:30

But at the same time, it's kind of BS when we build out 50 validation rules in

25:36

Salesforce

25:37

and then say it's not in Salesforce, it doesn't exist.

25:40

It shouldn't be that way for sales reps.

25:41

It should be easy for them to use Salesforce and they shouldn't want to use

25:45

Salesforce.

25:47

Other than that, maybe the misconception that we love spreadsheets.

25:51

I think sales up.

25:54

We're testing that theory on this show.

25:57

We're asking everybody about spreadsheets.

25:59

For sure.

26:01

Because I think sales ups love spreadsheets.

26:03

Our predecessors love spreadsheets.

26:05

But today spreadsheets become a separation.

26:10

And so it's, yeah, I love getting an Excel as much as an X-4.

26:15

But knowing necessarily what is an essential tool or essential in our tech

26:22

stack or process.

26:23

The answer is no.

26:24

All right.

26:26

Last question.

26:26

Do you have one question for the RevOps community at large?

26:30

What do you want to know about RevOps?

26:33

Yeah.

26:35

I would want to know when I think about the really also the future of sales ups

26:41

and revenue

26:42

up, really revenue operations.

26:44

I want to know how far alignment can really go.

26:48

Does it go beyond sales, marketing, and customer success?

26:52

Will there be a time where there's maybe with me about the entire revenue

26:58

umbrella in different

27:00

slices?

27:00

I definitely think about what it will look like in the future and really how

27:06

far

27:06

RevOps can expand.

27:10

It's still stay aligned.

27:11

And I don't know where that inflection point is.

27:14

Mark, awesome having you on the show.

27:18

Any, any final thoughts?

27:20

Anything that we didn't get to that you want to talk about?

27:22

Not for me.

27:24

Thanks for having me on the show today.

27:25

I really appreciate it being here.

27:27

Yeah.

27:28

Awesome chatting with you for our listeners.

27:30

Go check out, go to Embrace.io to learn more about Mark's company and how to

27:36

achieve your

27:37

mobile future if you need anything from Embrace.

27:41

Go to Embrace.io.

27:43

Mark, any future RevOps stuff we will be in touch.

27:49

Thanks so much again for joining.

27:57

(upbeat music)