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Ever wondered why your marketing data isn't delivering the insights you need? The answer lies in what Nicole Alvarez calls "the ugly work" – those essential but unglamorous tasks that create the foundation for beautiful marketing results.
In today's episode, Nicole, a Solutions Architect at ClearPivot with a fascinating background in psychology and cognitive science, explains why field audits, permission sets, and process documentation deserve more attention. Drawing from her experience across multiple industries, she reveals how these behind-the-scenes elements enable the exciting, visible outcomes that marketing teams celebrate.
We explore a powerful technique for demonstrating the value of data cleanup – building reports with bad data to show stakeholders why investment in data quality matters. When executives see inaccurate reports that don't reflect business reality, they better understand why dedicating resources to "boring" operational work is essential.
Whether you're struggling to maintain clean data, communicate the value of operations work to executives, or simply looking to improve your marketing systems, this episode offers practical wisdom from seasoned professionals. Subscribe to OpsCast for more insights on the critical work that happens behind the scenes in successful marketing operations.
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IN THIS EPISODE
SHOW NOTES 🔗
TRANSCRIPT 🔗
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Hello everyone, Welcome to another episode of OpsCast brought to you by MarketingOpscom, powered by all the MoPros out there.
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I am your host, Michael Hartman, joined today by my co host, Naomi Liu.
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How's spring up there in Vancouver?
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Great, we've been having a stretch of sunny weather, so I can't complain.
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Rub it in, while I've got thunderstorms going through here, such as North Texas this time of year, although we had a beautiful weekend, so I can't really complain, other than all the pollen.
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That's covering everything, anyway.
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So let's get started.
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Joining us today is Nicole Alvarez and she's going to talk to us about all the ugly work that goes on in behind the scenes for beautiful CRM marketing data.
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So Nicole is a solutions architect with ClearPivot.
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She is a solutions architect with seven years of experience with clients across multiple industries.
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She was born in New Jersey and has since lived in three different countries, which we'll get into a little bit.
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When she's not working, she is likely neck deep in an online course we also talked about that probably Trying to create hybrid plants.
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This site we haven't talked about, so I'm curious now, or contemplating how to how much rotisserie chicken it takes to train her cat, or is taken to train her cat.
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So, nicole, thanks for joining us today.
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It is a pleasure, it is absolutely a pleasure, thank you.
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Yeah.
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So let's uh, let's get into this a little bit before we really get into the meat of the topic.
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Yeah, it's always interesting.
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I think maybe your audience doesn't care about it, but I like it, so we're going to do it anyway.
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But I like to know a little more about people's.
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You know their story and their career journey, and so, yeah, you mentioned that you've lived in three countries.
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I know you're in Uruguay now.
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Hopefully I'm not butchering the pronunciation but, yeah, if you could share a little more about your career journey, how you ended up where you are, and maybe a little bit like how you ended up in all these different countries, and Uruguay being the latest.
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Absolutely so.
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Part of it is my obsession with always learning something new, which you have, I mean, when you work in operations.
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It's part of it, so it's kind of what led me here.
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I also always loved to travel, and there is a necessity to travel while working if you do it long term.
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So I started working remote, actually in 2015.
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So the landscape was completely different and at that point it was very limited to marketing, to programming, like any kind of development work, and, quite frankly, that was really it.
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So I decided to try my hand at being a developer in 2015.
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And I bricked both a phone and a computer and decided that wasn't for me.
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So I started as a content writer.
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What happens with that?
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Well, you have to know marketing to be a good content writer.
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And then I realized, when I got into marketing, okay, it doesn't matter if I'm getting the best leads in the world, if sales doesn't have a process for working them, it doesn't matter how good the leads are.
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So then I got into marketing and sales operations, and then there came the service part, and one day I woke up and realized I'm working in RevOps now.
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So marketing still has a very fond place in my heart and that affects a lot of what I keep studying too.
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So, for example, here in Uruguay, I am studying cognitive science, which, oh my gosh, it's programming, it is psychology, it's philosophy Even the philosophy of the animal mind was the last course I took, and all of that comes into how I work with my clients, how I design processes and how I approach data.
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I think it's interesting.
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It's funny how cognitive science kind of has an overlap.
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I don't know, amy, you may not remember this, but one of our very first episodes, early early on, we had Brandy Sanders on and she said she she mentioned something like I probably won't get it exactly right, but it was something like if you're in marketing ops or rev ops, right, you should really understand.
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I don't think she said cognitive science, but basically that kind of like.
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That kind of stuff like that and chess right, because just like being able to see three steps ahead or four steps ahead.
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Do you remember that, naomi?
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Like vaguely, yes, like I remember the conversation, but not like the specific details like that.
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I just I remember.
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I don't know why that one has stuck with me ever since, like now, four plus years later.
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Right, it's crazy.
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That's incredible yeah.
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But, yeah, I ended up in um.
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I I always liked psycholinguistics.
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From when I studied, I never thought my psychology degree would apply so much to data operations and to marketing operations.
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But it really does, and because it is all just based on our own psychology, it's trying to take what's really happening, reduce it to numbers that are still useful to us and reflect a reality.
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I ended up actually watching a documentary during the pandemic on how we process information.
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I realized everyone they were interviewing had studied cognitive science.
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I went on linkedin.
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I looked them all up I sent a connection request, and then I started uh studying it here I love it.
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Yeah, I mean, I think I think to me the part that really connected the dots for me was like, yeah, like human psychology and we.
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One of the unique things I think which I enjoy about ops is the you know, the interaction we have with so many different types of people and so many different types of roles who have different kinds of things that they care about, different motivations, different um different of things that they care about, different motivations, different um different, different things that they're incented by.
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So like understanding all that is actually really really valuable if you kind of think about it that way.
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Mm-hmm, I think the thing working in operations for basically my entire career the thing that I always find is, you know, the challenges and the issues that the different teams have tend to have underlying similarities, right?
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Oftentimes they're trying to find ways to automate certain processes, they're trying to find ways to streamline certain initiatives that they have, they're trying to find ways to utilize the tools that the organization has in their wheelhouse to do their job better with fewer resources.
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And I think a lot of times in ops marketing ops it's highly creative because of the problem solving aspect of it.
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There's many different ways to get to the same end goal, but what is the best way?
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And it's always kind of that challenge, because I find that if you come up with a solution and you implement it, it's very rare that you will then change it to something else.
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Like once it gets implemented, then it's kind of there and it's like you know, five years later you have okay.
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Why do we do it this way?
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Oh, because we implement.
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You know, it's like so it's almost like you have to get right, like you have to get it right.
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You know, and it's it's it's because otherwise that kind of stuff just like stays around forever.
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We need more creative destruction, right destruction happening on all this stuff.
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Yeah well, there's something to be said for that, which is it can reflect a state at a point.
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But what's the essence of what we do?
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It's reflecting what actually happens with people and trying to approximate it with processes.
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Of course, five years later, I can assure you your team's not doing the same thing they were doing five years ago, or at least I hope not.
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So I think it unfortunately happens more often than we want to believe it does, cause I've seen that.
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Yeah, like I was working at a place where the poor procurement person.
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When I walked through cause I was trying to go, I was in the middle of that in my role from the marketing context and I was like every time it was like this really convoluted, complex process to do it and updating this one document and updating this other place and submitting something in the system, and I was like why?
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And it was just kind of like, just because that's the way we had been doing it right and no one had ever.
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I was like, oh my god, like I feel so sorry for you because you've got all this extra work that is not really adding value but is killing time.
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All right, I want someone that does those AI meeting note takers to sound an alarm every time someone says that's the way we've always done it.
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Like yeah, that would be.
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I actually like that idea.
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Yeah, right, yeah, I hope any developer listening.
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I actually like that idea.
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I mean, yeah, right, that would yeah, I hope any developer listening if you.
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If you hear that, uh, get in touch.
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Definitely it would be an interesting one to to flag that, um, okay.
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Well, this that's.
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It's a really interesting connection point, um, to go through that and why you moved there to your and I I'm not going to pronounce like you do, I'm going to pronounce it like the gringo.
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I am Uruguay, okay.
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So when we talked about this before, this whole idea of I think you've now called it the ugly work we talked about it before as the boring parts of operations being important.
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Talk to us about what you meant by that and and why you think it's so important.
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If I come to a client and I start saying things like lead scoring, automation, workflows, dashboards, everyone gets super, super excited.
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These are the big, big, shiny goals that everyone wants, and it's not built by adding more things.
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It's built by taking the data you already have or collecting better data and then using it.
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So no one will get excited if I come in saying field audits, permission sets, process documentation.
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Everyone kind of just you know, their eyes glaze over and they're like wait a minute, I don't want to do that.
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But sometimes even the best way to show the quality of a data is build that ideal.
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You know, quote, quote, report and show them.
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If we're reporting on the data in the state that it's in right now, this is the kind of result we get and this doesn't reflect reality.
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So sometimes it's a backwards approach where you can build something on bad data and then even use that as a way to demonstrate.
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This is why we need to clean it up.
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So part of this is the psychology of communicating to someone that, like, these big, shiny goals are based on a lot of hard and sometimes quote ugly work.
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But that's how we get the beautiful processes.
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That's how we get the beautiful results of it.
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Do you see, you said that the data doesn't reflect reality.
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Like what?
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Because I initially for listeners, like I was like sort of had a look on my face, probably.
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But what do you mean by it doesn't reflect reality?
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Because in some ways, I would argue, it actually does reflect the reality of the processes and systems that are in place.
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Well, let's take the example of reporting right.
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Say you want to build a fairly simple report on lead sources right Now.
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That gets us into the question of attribution.
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How do we define attribution?
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I know we could go down that rabbit hole for as long as we wanted to, but let's take a side journey.
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Um, let's say we're trying to report on a field called lead source.
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But let's say the whole team has permissions to create fields and everyone has realized there's a need for a lead source field.
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So suddenly you realize there's lead source, lead source, new lead source, test, lead source V1, lead source final.
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And imagine now that they are my nightmare of single line text fields.
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How do you consolidate that into this simple or shiny or beautiful lead source report?
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So that's what I mean when I say that these little details, like having unified fields that everyone knows how to find or use, and having permission sets that are guardrails and not handcuffs when it comes to things like this, make those processes easier and make everything flow better downstream.
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Makes sense.
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So everything we've talked about so far you mentioned, I would say, put under the category of data.
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Are there other domains, documentation, and nobody gets excited for?
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the process documentation meetings.
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Actually, one thing I see a lot is people being afraid to admit how their processes are, and we touched on this earlier.
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I assure you nobody's processes are perfect and they're never going to be perfect, and this is something you will constantly have to look at.
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So when you go in, when I go into a process documentation meeting, I'm not looking for the ideal state.
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I'm looking for what's actually working, because something is happening.
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We need to at least track that.
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That's how we can get data that reflects what's.
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You know what the reality of the situation is, and then we can improve it from there.
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But we have to look at what's actually happening first.
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The other hand of this is where's the documentation?
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Who manages the documentation?
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So this gets into the category of delegation responsibilities, management audits, which are not words that spark joy in a lot of people.
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So it's necessary.
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My accounting friends probably get excited about those words.
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I'd like to meet these people.
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Yeah, when you can show someone the value, it really drives it home, and that's where you can get someone's attention.
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So, Naomi, I know you do, I think you still do like quarterly business reviews with stakeholders that you support, Like, do you like?
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Are you?
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How?
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How are you getting?
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Are you getting into that kind of conversation about all these things that are sort of like the hidden activities that need to happen, but are that are important, that for the visible ones?
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I mean, that's almost what I think about it um, I find that those types of conversations are better in written form because, really, I think that when you start talking about like hidden, like things that were being mentioned, like you know, process docs, and like integrations and field changes and all of like it, eyes glaze over, people start paying attention.
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This is not something that they like.
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These are just words.
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It doesn't actually, you know.
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So I find that those types of updates are better suited for, like when you talk about like what does this actually mean for the person?
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Right?
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So if there's like a field change or like an update to certain like integrations or whatnot, like how does that actually impact them?
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Like, what's the end and result of that?
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The end result of that is now it's easier to see if somebody has left the company, right?
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it's easier to see if, um, an email has bounced things like that, right, but those types of things I find are better communicated, in my opinion, in britain form via.
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You know, either via like a like a monthly like recap, or maybe it's posted somewhere on some kind of internal like a confluence, or it's like shared on an internal shared space, on show pad or whatever it might be.
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Sure, right, um, just for documentation purposes and like what has been communicated out to people.
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Um, but it just depends on your audience, right?
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Instead of if it's for your business partners.
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Instead of saying like we made this field change, I moved it on the page layout to here it's now you can more easily see that this person has left the company.
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Um on this date like that.
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It's really interesting because, um, I'm fascinated, because this is probably my own tendency, like, I prefer conversations about stuff like this because I find that it's hard to so many things can be misinterpreted with written, especially if I'm not, like I don't consider myself a great writer.
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I think I've gotten better over the years and tools have helped for that, but I feel like the nuance gets to be less.
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But if you're trying to communicate it to like, sorry to interrupt, but if you're trying to communicate it to like, sorry to interrupt, but if you are trying to communicate it to, like, a wider audience, you can't have that conversation with, like, like, there's a lot of people that are just not gonna, they're gonna completely miss it.
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You know, and I want to make sure that it's written down, just so that I'm also like, did I remember to say this?
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You know, did they watch the recording?
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Did they?
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You know x, know X, y, z, and it can also, if it's on a meeting, you can also, like, you can write it down on a slide, you don't?
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have to read it all, but then also like reiterate it, there's actually a whole.
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One of my focuses with my extracurricular studies is psycholinguistics and I highly recommend, if you haven't listened to anything from him or read anything from him, there is a person named steven pinker who focuses in psycholinguistics and I recognize the name, the dynamics of communication and the way we receive an interview.
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It's just mind-blowing.
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But he's got a great sense of humor so it's easy to digest oh good, like that, don't take himself too seriously.
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Yeah, it's really interesting.
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I just because I I wasn't expecting it.
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So this is.
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This is why I love talking to naomi and others, because, like, I get another perspective and it challenges how I might think about it, my my default mode.
00:19:04.317 --> 00:19:08.103
So, um, okay, so this is.
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This is kind of interesting because there's all this hidden stuff, or boring stuff, or ugly work, whatever term we're going to use.
00:19:15.059 --> 00:19:32.386
So you listed a couple of things, nicole, like what are, what are some other, some of the other, like major categories of things that you think fall into that, into that bucket workflow audits for sure.
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Like we mentioned before, if you build a workflow and you leave it alone for five years and someone builds maybe 3, 5, 10, 15, 20 workflows on top of it and then suddenly you wonder why fields aren't doing what you would expect them to do, check the workflows.
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Marketo seems to be ripe for that kind of stuff, where there's all these workflows that are interacting with data and doing things that like if people set them up or go on and like you start getting sort of butterfly effect stuff that happens when you put new stuff in.
00:20:07.971 --> 00:20:12.464
Right Did this one thing and now we're like but something crazy is happening.
00:20:12.464 --> 00:20:16.646
Well, you gotta go yeah, dig into and to me it's like plumbing.
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You know, if when your plumbing's working fine, you don't notice it and that is the sign of a good workflow, um, but when something happens with your plumbing, I can assure you you will notice immediately and it will not be a pleasant experience, but much like going through your workflows early and doing audits, maybe quarterly, let's be honest.
00:20:39.976 --> 00:20:41.681
I mean, not every team can do that.
00:20:41.681 --> 00:20:46.754
It's ideal but it's not always practical.
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If you can do it even once a year, just set a goal, that's realistic.
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Do it even once a year, just set a goal, that's realistic.
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But if you can at least look at what you have and revise it and say, okay, I understand what these are, I understand what they're doing, it is way better than dealing with something way down the line.
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That is much less appealing.
00:21:10.488 --> 00:21:15.004
Yeah, definitely Any other major categories we want to talk about here?
00:21:17.619 --> 00:21:21.907
um, one use case I see a lot more is forecasting.
00:21:21.907 --> 00:21:25.816
Um, everybody, I mean forecasting is such an easy sell.
00:21:25.816 --> 00:21:29.360
I mean everybody wants to see what's going to happen.
00:21:29.360 --> 00:21:36.310
That black box of uncertainty, of this fantasy of what does my future look like?
00:21:36.310 --> 00:21:39.665
How many marketing qualified leads can I expect?
00:21:39.665 --> 00:21:40.879
I mean it would be great.
00:21:40.879 --> 00:21:44.064
But again, that's all based on data.
00:21:44.444 --> 00:21:53.866
Yeah, so it's not like you can just tack things on to a system that has its own faults.
00:21:53.866 --> 00:22:00.245
You have to look at it, you have to audit the actions you know you have to really think about.
00:22:00.245 --> 00:22:00.567
You have to.
00:22:00.567 --> 00:22:10.324
When I, for example, do a lead scoring project, the first thing I look at is closed one deals, which kind of gets us out of marketing, but it does have to do with it.
00:22:10.324 --> 00:22:13.256
So you think what actions do these people take?
00:22:13.256 --> 00:22:14.759
How are you measuring them?
00:22:14.759 --> 00:22:16.561
Are you measuring them?
00:22:16.561 --> 00:22:21.537
And then even going into naming conventions?
00:22:21.676 --> 00:22:40.999
Because if you, for example, say that I don't know, there are so many different lead scoring methods, right, you could rank them on grades, you can rank them on percentages, you can rank them with emojis, you can rank them with wording conventions that are easily readable by humans.
00:22:40.999 --> 00:22:42.722
But does it make sense?
00:22:42.722 --> 00:22:53.654
Does it work and I assure you there are workflows, fields, permission sets and a lot of documentation behind that and it's like good, it's, it's good embroidery, right?
00:22:53.654 --> 00:23:05.636
You see the beautiful picture on one side and you flip it over and you go, oh my gosh, maybe I'm also just a terrible embroiderer, but I mean, that's what my embroidery looks like, at least yeah, no, that visual is great.
00:23:05.656 --> 00:23:07.182
I know exactly what you mean, right?
00:23:07.182 --> 00:23:10.981
That's so funny, nami.
00:23:10.981 --> 00:23:12.325
You look like you were about to say something.
00:23:19.317 --> 00:23:19.778
No, I'm just.
00:23:19.778 --> 00:23:22.125
I'm chuckling because I relate to that embroidery.
00:23:22.165 --> 00:23:32.839
It's so true, it looks great on the front and you turn it over and you're like, oh, that's a hot mess, but you said something really I mean, both of you had really interesting points before too about this is great.
00:23:32.839 --> 00:23:36.163
I mean, we understand this as people that work in this every day.
00:23:36.163 --> 00:23:47.109
But how do you explain this to something like a client who may be focused on those beautiful things and might be, quite frankly, repulsed by all the work that has to go into it?
00:23:47.109 --> 00:24:06.734
So that's when those nuances like do they prefer an email, you know?
00:24:06.734 --> 00:24:07.256
Do they prefer a call?
00:24:07.256 --> 00:24:07.817
That's where that comes in.
00:24:07.837 --> 00:24:09.220
I have two clients right now that are at startup level intensity.
00:24:09.220 --> 00:24:12.185
I actually don't know if they even sleep down for even a half hour meeting to go through reports.
00:24:12.185 --> 00:24:13.888
They will be like why am I here?
00:24:13.888 --> 00:24:20.185
So that's a great case for an email and they understand it and they have the need to understand it.
00:24:20.185 --> 00:24:35.514
And then I have some clients who really value that FaceTime dashboard.
00:24:35.514 --> 00:24:45.778
I might know that they need that kind of question and answer session or that they may give me another suggestion or say, hey, you know this report looks good, but can we add some more detail or can we add some more nuance?
00:24:45.778 --> 00:24:57.203
So it really does depend, and that's that communication aspect of, how do you make these ugly bits not only appealing but, you know, desirable?
00:24:57.203 --> 00:25:10.122
You know, how do you, how do you wrap these in this pretty package and say this is lead scoring, this is forecasting, this is that workflow, this is, you know, lead rooting.
00:25:10.122 --> 00:25:12.907
All these magical things you want, this is it.
00:25:14.975 --> 00:25:37.403
So I think something with like the reports and dashboard piece too is I've actually for a long time now, when I create dashboards in Salesforce and you add your widgets right and instead of, I think, by default like the title of each tile defaults to the report title and then you can end up with a dashboard that you're sending to people.
00:25:37.403 --> 00:25:47.309
That can not make a ton of sense because it's something like you know why, year over year, you know like web lead bubble.
00:25:47.309 --> 00:25:51.439
It's just like you just have a whole bunch of acronyms and people are looking at it and you're just like what does it actually mean?
00:25:51.439 --> 00:25:59.790
You have to really sit down and like have a ton of mental energy to like see and understand what you're looking at Right.
00:25:59.790 --> 00:26:17.941
So I found just even like a really simple I don't want to call it a hack, but just like a really simple change was retitling all of those tiles and those widgets to how many leads that I generate this quarter, how many leads are currently open.
00:26:17.941 --> 00:26:25.240
You know what stage are opportunities created last month at.
00:26:25.279 --> 00:26:33.601
Everything's a question, right, and so when I find that people yeah, so every single piece, or every single report too, that I send to people is.
00:26:33.601 --> 00:26:40.202
I always title it as a question so that they know what they're looking at is the answer to that question, and that makes sense.
00:26:40.884 --> 00:26:43.252
That's brilliant and honestly so.
00:26:43.252 --> 00:26:47.223
So naming conventions is another thing that I would consider one of the ugly parts.
00:26:47.223 --> 00:26:48.004
But that's it.
00:26:48.004 --> 00:26:51.480
It's human Like the.
00:26:51.480 --> 00:26:52.904
You know right away what you're looking at.
00:26:52.985 --> 00:26:58.826
right, and it stopped me getting questions about can we jump on a call so you can explain what this report is?
00:26:58.826 --> 00:26:59.768
But they know what it is.
00:26:59.768 --> 00:27:00.388
It's XM report.
00:27:00.388 --> 00:27:07.908
It says you know like, how many leads does X sales rep still have from last month?
00:27:07.908 --> 00:27:13.801
Right, like it's every single report that I create now, every single dashboard I create, always is titled with a question.
00:27:15.144 --> 00:27:20.002
That's really fascinating to me but honestly, that's brilliant because it's what is the question?
00:27:20.002 --> 00:27:21.145
And then you have the answer.
00:27:21.145 --> 00:27:24.002
Here's the answer Yep, oh, I'm so using that.
00:27:24.002 --> 00:27:25.125
I'm so using that.
00:27:26.596 --> 00:27:28.759
No more like QOQ.
00:27:28.759 --> 00:27:29.181
Why?
00:27:29.181 --> 00:27:33.428
Why year over year, you know, like previous fiscal year, like it, just no.
00:27:33.835 --> 00:27:37.585
So get over the whole idea of trying to be super concise about those titles.
00:27:37.585 --> 00:27:38.527
Right Be descriptive.
00:27:38.974 --> 00:27:42.624
Yeah, yeah, cause even sometimes I look at it, I'm like what am I looking at?
00:27:42.624 --> 00:27:43.966
Oh yeah, right so.
00:27:45.655 --> 00:28:00.708
Yeah, I've worked with a lot of cases where there is an entire dictionary that my clients have put together to just educate people on the jargon they use, which sometimes, let's be real, that's necessary Depending on the industry.
00:28:00.708 --> 00:28:08.939
You know, you can't be saying five words when it could be an acronym, but there are things like those reports where it's like it has to be understandable.
00:28:08.939 --> 00:28:12.062
What's the basic essence of a report?
00:28:12.062 --> 00:28:14.987
We're asking a question and there's your answer.
00:28:17.309 --> 00:28:26.308
Exactly Love that and it's so much, especially with people who are just like trying to understand, like you're looking at reports all day long.
00:28:26.308 --> 00:28:35.668
And I have seen a few others internally who have kind of copied my method, which is great.
00:28:35.668 --> 00:28:36.389
I love it right.
00:28:36.389 --> 00:28:43.281
I love that because it just it shows that it works right and it just keeps things much clearer.
00:28:43.722 --> 00:28:45.066
That's a really interesting, without confusion.
00:28:45.066 --> 00:28:45.547
I love that.
00:28:45.547 --> 00:28:47.220
I love that hack.
00:28:47.220 --> 00:28:53.022
It goes back to human psychology, right, okay, so we've got all these things.
00:28:53.022 --> 00:29:03.879
So my experience is I think probably everyone, or the majority of people listening to this or watching this, will go like yeah, we all know this is really important to get the plumbing right.
00:29:03.879 --> 00:29:05.800
Right, get the data right, get the plumbing right.
00:29:05.800 --> 00:29:14.484
But we are stretched so thin because of all the more highly visible stuff.
00:29:14.484 --> 00:29:18.687
Right, getting a campaign out the door, getting an email generated, get a line to pay, like all these things.
00:29:18.687 --> 00:29:22.229
Getting a dashboard, even right, I think that falls in that category.
00:29:22.229 --> 00:29:27.091
What advice do you have?
00:29:27.091 --> 00:29:37.941
I'm actually going to ask both of you, because I think you're going to have two different perspectives One from a kind of more of a consulting side, one from in-house, like what?
00:29:37.941 --> 00:29:49.119
What have you done that has helped to create some time and space for your you know, for you to you or your teams, to be able to focus on some of that, you know, background work?
00:29:49.119 --> 00:29:53.263
Nicole?
00:29:53.444 --> 00:30:09.896
So for me and this may be a controversial opinion what I have found works in 90% of my cases and again, this might be a controversial opinion my background we're visual creatures.
00:30:09.896 --> 00:30:11.122
We want to see something.
00:30:11.122 --> 00:30:13.864
Most of our brain is devoted to visual processing.
00:30:13.864 --> 00:30:16.340
I'll build a bad report.
00:30:16.340 --> 00:30:25.460
So if they want to see a lead squaring model and it's a hard sell Bad meaning like, I'll build it with the data we have.
00:30:26.163 --> 00:30:27.680
Okay, so exposing the bad data?
00:30:29.184 --> 00:30:31.774
Exactly, exactly, exactly.
00:30:31.774 --> 00:30:35.022
So I'll build it as it should be.
00:30:35.022 --> 00:30:39.540
It's something you can look at and see, wow, this doesn't reflect the reality at all.
00:30:39.540 --> 00:30:53.069
And then I can go in, I can take that curiosity, that question from whoever I'm working with and then say, okay, so this is how I build it and I take kind of an education stance because they should know this.
00:30:53.069 --> 00:30:58.843
My ideal is in a dream world.
00:30:58.843 --> 00:31:12.882
As someone who primarily works as a consultant, I would love for every single one of my clients to know what I know in a few years, and my ideal world is I would be without a job because they would know as much as I do.
00:31:12.882 --> 00:31:16.666
So I want them to see you know.
00:31:16.666 --> 00:31:20.597
If we build a report with the data we have, this is what it looks like.
00:31:20.597 --> 00:31:23.845
Are these reflecting the reality of your situation?
00:31:23.845 --> 00:31:26.155
No, this is how we fix it.
00:31:26.155 --> 00:31:32.386
And then we get that aha moment Like that's it, that's what works, and then they understand that value.
00:31:39.674 --> 00:31:41.442
Yeah, I mean I I'm an advocate for like don't wait on reporting until your data is right.
00:31:41.442 --> 00:31:42.086
Cause it will never be that way.
00:31:42.086 --> 00:31:46.059
So like, start, start the reporting to expose it so you can then go incrementally clean it up and fix it.
00:31:46.059 --> 00:31:47.322
So totally love that.
00:31:47.322 --> 00:31:56.668
How about you, naomi, I curious, like what you've done over the years to years to be able to get some time and space for your team to do some of that kind of stuff.
00:32:01.437 --> 00:32:02.341
I think it's a challenge.
00:32:02.341 --> 00:32:06.846
I think a lot of teams are stretched very thin resource-wise.
00:32:06.846 --> 00:32:11.344
You're always trying to do more with less.
00:32:11.344 --> 00:32:16.339
To be honest, I'm still struggling with that.
00:32:20.189 --> 00:32:22.796
Yeah it very much depends on the person you're working with too.
00:32:22.796 --> 00:32:26.653
There are some people that are very open.
00:32:26.653 --> 00:32:42.115
I mean, you know, some of my more technically focused clients can honestly get overwhelmed knowing the work that goes into it, and you would think that the people who work more heavily with this and have more understanding might understand the value more at first.
00:32:42.115 --> 00:32:50.614
But ironically enough, some of my clients who have never even touched a CRM before are some of the most open-minded and curious.
00:32:50.614 --> 00:32:54.234
But there's such a spectrum of people to work with.
00:32:54.234 --> 00:32:59.817
I mean, understanding how to work with people is understanding how to work with data.
00:32:59.817 --> 00:33:18.384
It's just one form of using it to reflect what's happening, be honest with yourself and then improve, which I think everyone wants to do in basically every aspect of their life I think I remember having a conversation like and I've always sorry, michael- no, go ahead
00:33:19.945 --> 00:33:20.406
I was just saying.
00:33:20.406 --> 00:33:31.354
It's like I think something that I have I've struggled with is you know, like you are generating reports because you're either asked for them or you're proactively doing them because you know that.
00:33:31.354 --> 00:33:34.955
You know some of these reports are needed for the business.
00:33:34.955 --> 00:33:38.278
But then what do people do with them?
00:33:38.278 --> 00:33:38.699
Right?
00:33:38.699 --> 00:33:55.995
So yes, whenever I guess I get asked for reporting like it's very rare that I will just here you go, because I find the last thing I want them to do is receive the report and then they look at it like that's nice and then file it away into a folder called reports from Naomi or something.
00:33:59.370 --> 00:34:07.872
I think something that I realize is oftentimes, when people are asking for reports, it's not actually the report that they're looking for, but they're actually looking for is like, what am I supposed to do now?
00:34:07.872 --> 00:34:08.675
Right?
00:34:08.675 --> 00:34:28.507
So if and I think it's just understanding like where the ask is coming from, who's asking it, and you know, if it's somebody who is not necessarily, um, someone who, like, likes looking very granularly at data, oftentimes they just want to know what happened and what can we?
00:34:28.547 --> 00:34:29.570
do.
00:34:29.570 --> 00:34:30.552
Did it work or not?
00:34:30.552 --> 00:34:31.575
Should we never do this again?
00:34:31.575 --> 00:34:32.297
Should we do more of it?
00:34:32.297 --> 00:34:35.211
Should we put more money into it?
00:34:35.211 --> 00:34:36.214
Where are the gaps?
00:34:36.214 --> 00:34:37.657
Tell me what to do.
00:34:39.108 --> 00:34:43.097
It goes back to the essence of why we're doing any of this in the first place.
00:34:43.097 --> 00:34:48.232
There's a question, there's a desire that they have, and this is one way of answering it.
00:34:49.455 --> 00:34:57.530
Yeah, I mean I I probably push back every time someone comes to me and says we need a dashboard for blah right Whatever that blank is.
00:34:57.965 --> 00:34:58.367
What are you going?
00:34:58.387 --> 00:34:59.231
to do with that dashboard?
00:34:59.411 --> 00:35:01.192
Well, and I'm going to do anything.
00:35:06.925 --> 00:35:08.246
The level of effort to create a dashboard.
00:35:08.246 --> 00:35:09.327
I mean in the general sense, not just like Salesforce.
00:35:09.327 --> 00:35:14.430
Right is, essentially, you're consolidate, you're putting all a bunch of different reports into one that have some sort of connection.
00:35:14.430 --> 00:35:25.857
And my argument would be if we don't have anything today, let's not start with the idea, like, let's not go with the goal to build a dashboard, let's go to build the first report.
00:35:25.857 --> 00:35:35.083
Build the first report, get that nailed down, then we can move to the second one and eventually, over time, we might have a dashboard that we actually can use for an appropriate audience.
00:35:35.083 --> 00:35:50.536
But if you go into it like we have to have this dashboard and we already know what these things are like.
00:35:50.556 --> 00:35:54.604
I think, first off, you probably never finish and, second, if you do, you're probably going to be wrong as much as you're going to be wrong Absolutely.
00:35:54.604 --> 00:35:55.025
I truly believe that.
00:35:55.025 --> 00:36:01.993
So I was going to go kind of getting back into this like, how do you convince leadership to give you the ability to spend time on this?
00:36:01.993 --> 00:36:09.261
I actually worked with a manager of mine at one point who I was trying to do like hey, like our data is kind of messy.
00:36:09.261 --> 00:36:09.602
We need to.
00:36:09.602 --> 00:36:21.169
My team needs to be able to allocate some time to try to address that, whether it's, you know, mass updates or go find, like what's causing it from a process or system standpoint, and address that over time.
00:36:21.169 --> 00:36:32.172
I said I know this is not sexy stuff, like that's the words I used and I mean I was kind of like expecting to get pushback and what I actually got was she's like, she's like actually, yeah, that's very sexy.
00:36:32.172 --> 00:36:33.489
Like we need, like we she.
00:36:33.489 --> 00:36:34.754
So she recognized it.
00:36:34.754 --> 00:36:54.792
So I think, if you're fortunate enough to have somebody who gets the value of it even if I would say that that person probably didn't really wouldn't understand all the details about behind what it was, and somebody who trusted me, which is helpful, but I was like I had to, like that was somebody who would get have my back.
00:36:54.792 --> 00:36:57.269
Let's go do that Right, and it's going to be useful.
00:36:57.269 --> 00:36:59.075
They saw the vision to me.
00:36:59.546 --> 00:37:05.292
I keep coming back to a lot of these things, as we've talked throughout the earlier part of this conversation.
00:37:05.292 --> 00:37:09.355
The human psychology part of it definitely is.
00:37:09.355 --> 00:37:11.533
I think, something is important, right, understanding your audience.
00:37:11.533 --> 00:37:16.797
But I think there's also this element of storytelling and, nicole, you might have this like.
00:37:16.797 --> 00:37:34.475
The one thing that I always think about is humans are wired for stories, right, and so I always find my thing about like, how do for stories right, and so I always find myself thinking how do I tell the story to this person or this group of people, whether it's written or verbal or whatever?
00:37:34.475 --> 00:37:38.213
Is that a part of it too?
00:37:38.213 --> 00:37:39.952
Connecting the dots, like the story is like.
00:37:39.952 --> 00:37:48.059
We need to invest this time and effort in this boring ugly, whatever activity, because the outcome is going to be this.
00:37:48.059 --> 00:37:49.892
That's going to be a benefit for all of us, right?
00:37:51.545 --> 00:38:08.015
Yes, actually, fascinatingly enough, this is one of the things that currently we think is, as far as we can tell, unique to humans the ability to tell stories, the ability to take these abstract symbols and connect them, to extract meaning out of them.
00:38:08.015 --> 00:38:11.294
And it applies everywhere in life.
00:38:11.294 --> 00:38:16.172
And listen, if I'm going to be staring at data for eight hours a day, I better have some meaning I can get out of it.
00:38:16.172 --> 00:38:28.552
So I've developed this like Zen-like relationship with data and sometimes explaining it to stakeholders that don't have time to sit down and drink water for 15 minutes out of their day.
00:38:28.552 --> 00:38:30.958
So how do you tell a story?
00:38:30.958 --> 00:38:32.350
How do you communicate?
00:38:33.133 --> 00:38:34.940
This is going to be an eight hour project.
00:38:34.940 --> 00:38:37.007
You may have thought it would be 15 minutes.
00:38:37.007 --> 00:38:40.833
Here's why, and here's why this is actually a good thing, right?
00:38:40.833 --> 00:38:59.809
So that skill is so essential and I very much thank my background as a, as a copywriter and when I was younger, and even today sometimes I still write fiction and I think that's been one of the most valuable things to every part of my career, even the day, especially the data part.
00:39:01.373 --> 00:39:08.865
Interesting, yeah, changing course a little bit like.
00:39:08.865 --> 00:39:22.475
Another thing you and I touched on when we first talked was and I think this ties back to data and process and everything else is like I'm going to put it a couple of different ways, I guess being an advocate for customers and understanding the buying journey.
00:39:22.475 --> 00:39:26.254
How does that tie into like all this as well?
00:39:26.254 --> 00:39:27.136
Right, I mean, is it?
00:39:27.136 --> 00:39:32.915
Is it, um, somehow like really tied to it?
00:39:32.915 --> 00:39:34.577
Is it a different topic?
00:39:34.577 --> 00:39:35.239
Like, how does it?
00:39:35.239 --> 00:39:40.277
How do you find that relates to what we do as operations folks and the data stuff?
00:39:41.525 --> 00:39:53.450
Oh, absolutely, oh my gosh, if everything so, to start off, every single thing is tied to the buyer's journey, I would, if I could, have one wish, and I'm not even asking the genie for three wishes, I'm just going with one.
00:39:53.450 --> 00:40:01.612
I want every CEO of every company to go through the exact process that their client goes through, just to see what it's actually like.
00:40:01.612 --> 00:40:03.655
Goes through just to see what it's actually like.
00:40:03.655 --> 00:40:13.807
Everything we base everything off of starts there, and that's again touching on that storytelling aspect.
00:40:13.807 --> 00:40:14.548
What is actually happening?
00:40:14.548 --> 00:40:15.291
What are they going through?
00:40:15.291 --> 00:40:16.393
What's that process like to them?
00:40:16.393 --> 00:40:21.090
If you lose sight of your own customers, everything is going to fall apart.
00:40:21.090 --> 00:40:22.916
You could look at the best data in the world.
00:40:22.916 --> 00:40:31.958
It really could reflect what's happening and you could still be scratching your head if you lose sight of what a person actually does when they're interacting with your company.
00:40:35.905 --> 00:40:37.810
Definitely it's interesting to me.
00:40:37.810 --> 00:40:47.486
I don't know what you all do, but because of the space I've been in now for a couple of decades I guess marketing and data and all that I tend to like.
00:40:47.486 --> 00:40:53.475
I know a lot of people get annoyed like unsubscribe on a regular basis, but I'm just going to unsubscribe from all these things that I don't really care about anymore.
00:40:53.475 --> 00:41:03.113
I almost never unsubscribe from anything and part of that is because I'm trying to at least loosely observe how they're operating.
00:41:03.113 --> 00:41:07.591
What do they do, and I'm always surprised and this happens, I think, more on personal stuff, right.
00:41:07.611 --> 00:41:27.539
So retailers, where I have had no real interaction with them for years, and I continue to get daily, weekly emails and I often wonder, like, how much is that costing them in terms of actual cost?
00:41:27.539 --> 00:41:38.887
Right, database size, because they've got a bunch of people like me who are not really interested new life stage or whatever and like it's like to me, it's like plus, it's also just like, are they even moving the needle?
00:41:38.887 --> 00:41:39.369
Right?
00:41:39.369 --> 00:41:45.606
And some of them are just naturally like tied to, like life sky, like life stage, right?
00:41:45.606 --> 00:42:02.090
My kids were younger so I was like paid attention to things that were more for each of them and it's no longer relevant because they're older, but some of them are just like I bought one thing one time, right Research one thing one time and then never done anything else, and it's just like I don't know why they continue to do that.
00:42:02.090 --> 00:42:06.778
B2b is not immune from that, but it's like the same thing applies, right.
00:42:08.262 --> 00:42:09.925
I would even argue that you'd be a valuable.
00:42:09.925 --> 00:42:16.077
In my opinion which again might be controversial I would even argue that that's a value in its own.
00:42:16.077 --> 00:42:17.067
You're interested.
00:42:17.067 --> 00:42:21.946
I mean, you may not need this, but they're top of mind, you're following their story.
00:42:21.946 --> 00:42:24.571
They're providing something that attracts you.
00:42:24.571 --> 00:42:31.192
You may not be looking for the same stuff you were looking for five years ago, but you're following the story of the company.
00:42:31.192 --> 00:42:36.516
They're present in your mind and, let's be real, we all know how much a word of mouth recommendation is worth.
00:42:37.525 --> 00:42:41.273
So yeah, I mean, I mean they're not really top of mind.
00:42:41.273 --> 00:42:53.815
I mean I think I'm an outlier case because, like I think many other people would have started just automatically deleting or unsubscribing, like I'm just like sending you the slow breakup emails.
00:42:53.835 --> 00:42:56.086
Yeah, I mean I've.
00:42:56.086 --> 00:43:13.857
I mean this is a good example also of like, tell me if this rings true, naomi, like you get into the conversation when it comes to, hey, we've got to renew with Marketo or HubSpot or whoever right, and you know one of the drivers is going to be database size, right, hey, we, you know our database is so big.
00:43:13.857 --> 00:43:19.247
If we, you know that means the cost is going to be, you know, x times whatever percent that we currently pay.
00:43:19.247 --> 00:43:22.793
So how can we clean up our database In?
00:43:22.793 --> 00:43:23.595
I find out.
00:43:23.755 --> 00:43:33.187
Find is that we make a case where, like these people who haven't interacted in, pick the time frame 18 months, 24 months, 36 months right, let's just.
00:43:33.187 --> 00:43:35.293
We can do one of two things.
00:43:35.293 --> 00:43:37.157
We can just say they're just not interested.
00:43:37.157 --> 00:43:54.377
We're going to just delete them or move them into a space like, uh, what, we're going to try to do one last crazy attempt to try to get them re-engage and if they don't, then we'll do it like, but at the end of the day you're dropping and it typically, even if you do the second case where you try to re-engage them, most people won't.
00:43:54.377 --> 00:43:57.028
So then people get freaked out.
00:43:57.028 --> 00:44:01.170
They're like, oh, we're going to lose 20 of our database like but you're not really.
00:44:04.236 --> 00:44:05.057
But what's the value?
00:44:05.057 --> 00:44:10.176
We may be scared by that 20%, but what's the actual value?
00:44:10.176 --> 00:44:13.835
We're going back to that essential question Is it worth the?
00:44:13.855 --> 00:44:14.115
cost.
00:44:14.115 --> 00:44:20.658
Was it worth the cost to keep those records in your database versus losing them.
00:44:20.658 --> 00:44:24.695
I mean if they come and get re-engaged, naturally great.
00:44:24.695 --> 00:44:33.697
I'm not saying never, just, but it's often like the volume, like this desire to see a large number of in our day.
00:44:33.697 --> 00:44:36.753
Our database has X number of people Like I.
00:44:36.753 --> 00:44:38.137
Don't get the fascination with it.
00:44:41.806 --> 00:44:49.234
I think it's one of those things where it's like if you tell someone they can't have something, they then want it.
00:44:49.614 --> 00:44:53.762
Yeah, it's like, it's like, it's like hoarders, right, right.
00:44:55.865 --> 00:45:01.929
In the off chance that that one person is going to open that email and then buy our product.
00:45:02.932 --> 00:45:04.989
Yes, well, this is another thing.
00:45:04.989 --> 00:45:09.473
Going back to just the way the human brain works, we are extremely risk adverse.
00:45:09.473 --> 00:45:30.466
So if you frame it like that, like oh my gosh, out of that 20% of people, we could have found one actual client, instead of saying, hey, if we focus our efforts on this 80%, we could put so much more effort into actually getting this to convert to a good sale or a marketing qualified lead or whatever.
00:45:30.466 --> 00:45:33.275
Your why, whatever your desire actually is.
00:45:34.827 --> 00:45:39.671
I think a lot of this is like a misunderstanding of how buying actually happens nowadays, especially in the B2B space, right?
00:45:39.671 --> 00:45:51.838
So much of that research happens outside of anything that we have visibility into, and so it's like you know, why are we doing nurture again?
00:45:54.205 --> 00:45:57.833
Yeah, and those are the and I mean that's again.
00:45:57.833 --> 00:46:01.487
I come from four years right now of client managing.
00:46:01.487 --> 00:46:12.149
I've been in-house, I've been doing consulting roles, I've worked with startups, I've worked with enterprise level companies in just about every industry under the sun.
00:46:12.149 --> 00:46:14.675
But that is the one unifying thing, is the why.
00:46:14.675 --> 00:46:17.008
What, ultimately, are we trying to get at here?
00:46:17.008 --> 00:46:28.834
And it's so easy, given how many details are involved in these operations, in this data, in all your technology, you can easily look into that and never look up again.
00:46:28.834 --> 00:46:34.438
But if you keep asking yourself, why are we doing this, what do we actually want to get?
00:46:34.438 --> 00:46:41.438
And if you go back to those original kind of essential questions, everything else flows, even the ugly bits of your data.
00:46:41.926 --> 00:46:43.892
Yeah, all right, well.
00:46:43.892 --> 00:46:46.027
Well, this has been a fun conversation.
00:46:46.027 --> 00:46:50.247
It's like we've covered all kinds of random stuff and still got through everything we wanted to, I think.
00:46:50.247 --> 00:46:53.074
But, um, one last thing, nicole.
00:46:53.074 --> 00:46:54.177
Is there anything that we didn't cover?
00:46:54.177 --> 00:46:55.646
You want to make sure our listeners heard?
00:46:55.646 --> 00:47:02.695
It's okay to say no too no, I think that's it.
00:47:03.676 --> 00:47:05.178
The beauty is in the ugliness.
00:47:05.178 --> 00:47:09.109
The final results are in all this hard work that goes to it.
00:47:09.109 --> 00:47:19.026
It may seem subtle, but when you can look at something like a good forecast, a good dashboard, a workflow that works well or something that's actually doing what you wanted, that's it.
00:47:19.026 --> 00:47:21.232
And when you see all the work that went into it, that's your own prize, love it and definitely's it.
00:47:21.232 --> 00:47:26.910
Yeah, and when you see all the work that went into it, that's your own prize, love it and definitely celebrate it.
00:47:29.365 --> 00:47:30.608
For some reason in my head, I'm coming.
00:47:30.608 --> 00:47:38.500
I think it was Da Vinci who said, like when they asked like how do you get you know, how do you carve these amazing figures?
00:47:38.500 --> 00:47:39.971
He's like it's already there.
00:47:39.971 --> 00:47:42.330
My job is just to remove the right pieces, right?
00:47:42.330 --> 00:47:44.215
I don't know why that popped up.
00:47:44.275 --> 00:47:44.996
I love that.
00:47:45.618 --> 00:47:52.454
Um, and I may misattribute that, but there's a like an old famous sculptor who did the A wave.
00:47:52.454 --> 00:48:01.093
So but if people do want to have like how to continue this conversation with you or learn more about what you're doing, what's the best way for them to do that, nicole?
00:48:07.885 --> 00:48:08.386
LinkedIn, always LinkedIn.
00:48:08.386 --> 00:48:08.546
Which?
00:48:08.586 --> 00:48:09.368
I am on all the time.
00:48:09.368 --> 00:48:13.495
Fantastic Well, Nicole, thank you, it was great, Enjoyed the conversation.
00:48:13.495 --> 00:48:21.182
Naomi, as always, good to see you and thank you to our longtime and new listeners and supporters.
00:48:21.182 --> 00:48:22.523
We are always grateful for that.
00:48:22.523 --> 00:48:33.086
If you have suggestions for topics or guests or want to be a guest, as always, reach out to Naomi, Mike RZA or me and we would be happy to engage with you on that Until next time.
00:48:33.086 --> 00:48:36.160
Bye everybody, Thank you, Thank you.