Sara Moorthy | Driving Value with Marketing Analytics

Episode 8 June 14, 2023 00:23:57
Sara Moorthy | Driving Value with Marketing Analytics
RXA Presents: Real Intelligence
Sara Moorthy | Driving Value with Marketing Analytics

Jun 14 2023 | 00:23:57

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Hosted By

Anna Schultz Jason Harper

Show Notes

Our June guest is Sara Moorthy, Managing Partner and co-founder at LeavenedAs a founding team member at Leavened, Sara focuses on product development and helping her clients develop strategic marketing plans, design marketing infrastructures, and establish tools for campaign measurement. Sara has won many awards for her past work, including an Addy from the American Advertising Federation, a “ONE Show” Interactive Award from the ONE Club which champions excellence in advertising and design, an NCDM Database Excellence Award, and several ECHO awards from the International Direct Marketing Association. Prior to Leavened, Sara gained over 20 years of experience in performance marketing, media, and data analytics.

Listen to this episode to learn about Sara's career journey, how she's seen marketing analytics drive value for businesses across various industries, her leadership and communication philosophy, advice for navigating corporate environments, and more!

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Episode Transcript

1 00:00:00,836 --> 00:00:03,328 [Anna]: You’re listening to the Real Intelligence podcast 2 00:00:03,784 --> 00:00:08,842 [Anna]: presented by RXA, a leader in business intelligence and data science consulting services. 3 00:00:09,379 --> 00:00:11,933 [Anna]: We're here to bring attention to the unique stories, 4 00:00:12,491 --> 00:00:12,970 [Anna]: perspectives, 5 00:00:13,449 --> 00:00:19,585 [Anna]: challenges, and success that individuals in the data industry face at every career stage. Welcome to the show. 6 00:00:21,093 --> 00:00:23,737 [Anna]: Thank you for tuning in to the Real Intelligence podcast. 7 00:00:24,365 --> 00:00:31,085 [Anna]: You're on today with Jason Harper, CEO and Founder of RXA and Anna Schultz, Marketing Coordinator at RXA. 8 00:00:31,894 --> 00:00:35,935 [Anna]: Our guest today is Sara Moorthy, Managing Partner and Co-founder at Leavened. 9 00:00:36,648 --> 00:00:38,153 [Anna]: As a founding team member at Leavened, 10 00:00:38,804 --> 00:00:43,829 [Anna]: Sara focuses on product development and helping her clients develop strategic marketing plans, 11 00:00:44,467 --> 00:00:48,215 [Anna]: design marketing infrastructures and establish tools for campaign measurement. 12 00:00:49,106 --> 00:00:55,152 [Anna]: Prior to Leavened, Sara gained over twenty years of experience in performance marketing, media, and data analytics. 13 00:00:55,883 --> 00:00:59,630 [Anna]: She has worked as a strategic planning and analytics lead at several companies, 14 00:01:00,028 --> 00:01:01,804 [Anna]: including Draft Worldwide and Publicis. 15 00:01:02,579 --> 00:01:08,950 [Anna]: In 2006, she co-founded a digital and CRM agency in San Francisco, which was later purchased. 16 00:01:09,585 --> 00:01:11,911 [Anna]: Her clients have included Google, GoPro, 17 00:01:12,443 --> 00:01:12,682 [Anna]: Sprint, 18 00:01:13,494 --> 00:01:15,571 [Anna]: Microsoft, Intuit, Hewlett Packard, 19 00:01:16,291 --> 00:01:18,368 [Anna]: Adobe, Electronic Arts and Toyota. 20 00:01:19,247 --> 00:01:21,345 [Anna]: Sara has won many awards for her past work 21 00:01:21,738 --> 00:01:30,502 [Anna]: including an Addy from the American Advertising Federation, a "ONE Show” Interactive award from the ONE club, which champions excellence in advertising and design. 22 00:01:31,395 --> 00:01:32,295 [Anna]: An NCDM 23 00:01:32,755 --> 00:01:36,995 [Anna]: Database Excellence award and several ECHO awards from the International Direct Marketing 24 00:01:37,555 --> 00:01:37,795 [Anna]: Association. 25 00:01:38,689 --> 00:01:47,261 [Anna]: Sara holds a Bachelor of Science from Indiana University’s Kelley School of Business and an MBA and Masters in International Business from Pepperdine University. Welcome to the show, Sara. 26 00:01:47,893 --> 00:01:51,775 [Sara]: Thank you. It's nice to be here. 27 00:01:52,488 --> 00:01:54,390 [Anna]: Absolutely. We're so excited to have you here with us today. 28 00:01:55,674 --> 00:02:02,743 [Anna]: We like to start off the podcast by getting to know the real you. So, I have a few questions that we might not find the answers to in your professional bio. 29 00:02:03,950 --> 00:02:04,926 [Anna]: In our 30 00:02:05,301 --> 00:02:10,467 [Anna]: conversations prior to this, you mentioned that you started working on the web in 1994 with a company website. 31 00:02:11,198 --> 00:02:19,295 [Anna]: Do you have any fun memories or anything you want to share from working in the early days of the Internet? 32 00:02:20,054 --> 00:02:24,549 [Sara]: Yeah. I think... so I worked for a software reseller, and they really focused on targeting engineers and scientists. So, it's a perfect 33 00:02:24,928 --> 00:02:27,745 [Sara]: perfect target audience for people that were early on the web. 34 00:02:28,059 --> 00:02:35,791 [Sara]: And so, what I was in charge of was doing a lot of marketing for them, and I remembered working on my first banner ad, which I didn't even really know what it was. 35 00:02:36,523 --> 00:02:45,238 [Sara]: And I was working with the engineers at the University of Illinois, and we're going back and forth designing a banner ad that would then later be placed on Windows Magazine's 36 00:02:45,616 --> 00:02:45,855 [Sara]: website. 37 00:02:46,429 --> 00:02:54,171 [Sara]: And so that initial process of, like, doing this whole thing manually, and negotiating the pricing, and putting anything on the websites, and going back and forth 38 00:02:55,141 --> 00:03:03,163 [Sara]: was fascinating. Because five years later, that was my career, and it was amazing to see how it completely changed and how automated it became over time. 39 00:03:05,325 --> 00:03:11,141 [Anna]: Yeah. Absolutely. I mean, seeing that change from, you know, doing everything manually to, you know, 40 00:03:11,872 --> 00:03:15,686 [Anna]: everyone just doing their own kind of ads on Google Analytics today is probably pretty crazy. 41 00:03:17,832 --> 00:03:28,701 [Anna]: My second question for you, so you've, you know, been working in marketing or data analytics, you know, for a very long time now. And is there anything that you've seen in the industry that you consider maybe to be underrated, or not taken as seriously as, you know, you would like? 42 00:03:29,014 --> 00:03:51,113 [Sara]: Yeah. It's interesting because I've had this conversation with a couple of clients recently And, you know, I ended up finding this quote about, from Mark Twain that said data is like garbage, you better know what you're gonna be doing with it before you collect it. And I think what I see is, a lot of times, 43 00:03:51,830 --> 00:04:00,299 [Sara]: are people collecting a lot of data and then producing these reports that have absolutely, have no meaning. So I think, you know, I always go back to clients. 44 00:04:00,672 --> 00:04:03,869 [Sara]: Why are we collecting the data and what are we gonna do with it? And 45 00:04:05,053 --> 00:04:10,076 [Sara]: how are we going to really, in the marketing space at least which I work in, is how are you going to use it to optimize? 46 00:04:10,714 --> 00:04:22,761 [Sara]: And so we... And the other piece of it is people get into the minute stuff and forget about the bigger business trends. So how do you kind of couple those things together to be able to get the real insights that would actually grow your business? 47 00:04:24,606 --> 00:04:24,765 [Anna]: Yeah. 48 00:04:25,481 --> 00:04:26,753 [Anna]: Absolutely. That's all very true. 49 00:04:28,979 --> 00:04:32,500 [Anna]: So in your own words, I know I kind of gave you a bit of an introduction, but 50 00:04:33,049 --> 00:04:44,675 [Anna]: can you walk us through maybe your career journey? What got you interested in marketing and analytics in the first place, and, kind of, how you learned some of those insights? 51 00:04:45,232 --> 00:04:53,640 [Sara]: Yeah. I definitely had a interest in marketing. I didn't... You know, when I was going to school, there really wasn't this kind of functional area of marketing analytics. So I studied a lot of marketing and advertising in school. And then 52 00:04:54,340 --> 00:05:13,214 [Sara]: I ended up starting my career in Germany, and I was doing more market research and, you know, went to Germany to work for a pharmaceutical company that was looking to go into the Eastern bloc countries at that point, to be able to push their products through and to an audience. So I did a lot of market research in that area. And then came back and worked at some 53 00:05:13,912 --> 00:05:20,810 [Sara]: random different jobs in marketing, for a spell in the healthcare industry. And then finally got into 54 00:05:22,063 --> 00:05:23,917 [Sara]: what I would say is measurable marketing 55 00:05:24,388 --> 00:05:30,925 [Sara]: when I started working for the reseller that I mentioned in the software industry. Because they were a cataloger and catalogers 56 00:05:31,298 --> 00:05:33,625 [Sara]: historically have done a lot with data, 57 00:05:34,333 --> 00:05:38,258 [Sara]: and how do you manage data, and to be able to get the best ROI 58 00:05:38,634 --> 00:05:39,351 [Sara]: in marketing. 59 00:05:39,909 --> 00:05:42,957 [Sara]: So I really was able to teach myself how to do... 60 00:05:43,588 --> 00:05:55,514 [Sara]: how to, kind of, connect those dots early on and I was lucky. And then I was exposed to digital marketing, as you had already asked me about, and so from there, I went and started working for agencies and then became, 61 00:05:56,615 --> 00:06:00,235 [Sara]: started my own business with my business partner in 2006 62 00:06:00,708 --> 00:06:16,699 [Sara]: that was really sold in 2008. And then quickly, you know, I started in analytics and then went to a little bit more focus on marketing and strategy. And I think that would put me in a very good position to be able to actually connect those dots continuously through my career. And then 63 00:06:17,137 --> 00:06:19,944 [Sara]: most recently, started Leavened a few years ago 64 00:06:20,319 --> 00:06:23,682 [Sara]: with a co-founder and, you know, basically Leavened is a 65 00:06:24,152 --> 00:06:30,517 [Sara]: cloud-based platform that executes marketing mix models in about a tenth of the time, at a much lower cost. 66 00:06:31,564 --> 00:06:35,848 [Sara]: And so, you know, we found this niche in the marketplace that we really wanted to take advantage of. 67 00:06:39,205 --> 00:06:49,265 [Jason]: Well, that's incredible. And thank you again, from me, for joining Sara. It's really exciting to talk to you and I think, you know, it's funny and listening to, you know, some of your thoughts on the early web. 68 00:06:50,295 --> 00:06:52,515 [Jason]: As someone who also got started in the late 90s. 69 00:06:53,323 --> 00:07:02,718 [Jason]: Like the concept of the 468x60. Is just so ingrained in my mind, like, that's what an ad is. And then I do remember the massive innovation 70 00:07:03,030 --> 00:07:03,850 [Jason]: when Skyscrapers 71 00:07:04,550 --> 00:07:08,150 [Jason]: became available. And I remember thinking, oh, this is a game changer. 72 00:07:09,190 --> 00:07:10,790 [Jason]: It's kind funny to look back at that. 73 00:07:12,083 --> 00:07:16,499 [Jason]: So thank you for sharing that. I think, you know, the work that you're doing 74 00:07:17,517 --> 00:07:26,074 [Jason]: today at Leavened and that is, it's really interesting. Like the speed with which you guys are able to do that stuff, and learning from yourself and, you know, from our friends in common 75 00:07:26,464 --> 00:07:27,103 [Jason]: (shout out to Baylen), 76 00:07:27,742 --> 00:07:34,927 [Jason]: things like that. And you guys really did... It's really impressive, you know, what you guys, what you guys have done there. So appreciate you making time for us. 77 00:07:36,699 --> 00:07:38,377 [Jason]: I have a few questions for you as well. 78 00:07:39,336 --> 00:07:40,475 [Jason]: So 79 00:07:41,174 --> 00:07:48,477 [Jason]: in some of our previous conversations, you said that you see data really as this agent for growth and change. So I'm hoping maybe you could 80 00:07:49,173 --> 00:07:55,017 [Jason]: expand on that, perhaps share a few, sort of, you know, case studies on where you've seen data transform some businesses, 81 00:07:55,570 --> 00:07:56,850 [Jason]: customers that you've worked with? 82 00:07:57,650 --> 00:07:57,889 [Sara]: Sure. Yeah. 83 00:07:59,250 --> 00:07:59,750 [Sara]: So 84 00:08:00,370 --> 00:08:02,070 [Sara]: I think just historically, 85 00:08:02,530 --> 00:08:16,093 [Sara]: I've worked in customer analytics first. And, you know, you, whether it was working at the catalog company or getting into direct marketing and even in the digital space, it was really about finding that customer-level data, to be able to - 86 00:08:16,471 --> 00:08:20,721 [Sara]: at that individual piece - of being able to increase their likelihood to purchase, 87 00:08:21,113 --> 00:08:23,916 [Sara]: or you, if they were ready to churn 88 00:08:24,369 --> 00:08:24,869 [Sara]: to 89 00:08:25,322 --> 00:08:32,193 [Sara]: stop that churn, or if there was segmentation, to be able to find the right segments, to be able to use that information to 90 00:08:32,649 --> 00:08:34,821 [Sara]: really focus in on the right 91 00:08:35,197 --> 00:08:38,643 [Sara]: spend levels, to be able to maximize some client's ROI. 92 00:08:39,193 --> 00:08:45,570 [Sara]: So historically, I've done a lot of lookalike models, whether it was offline or online, to be able to 93 00:08:45,944 --> 00:08:52,435 [Sara]: see, what are the key factors that would drive someone to convert, and then prioritize those customers. So I've done that for 94 00:08:53,453 --> 00:08:55,311 [Sara]: clients like Intuit and 95 00:08:56,740 --> 00:08:58,194 [Sara]: and as well as at 96 00:08:58,648 --> 00:08:59,919 [Sara]: Electronic Arts and things like that. 97 00:09:00,634 --> 00:09:02,962 [Sara]: And then the second piece is 98 00:09:03,830 --> 00:09:04,570 [Sara]: more recently 99 00:09:04,950 --> 00:09:09,290 [Sara]: is leveraging this idea of marketing mix modeling and using it quicker, 100 00:09:09,910 --> 00:09:16,300 [Sara]: knowing the deprecation of cookies in the space, is how do you even leverage it for digital marketers? 101 00:09:16,856 --> 00:09:19,877 [Sara]: I tend to work with a lot of direct to consumer clients. 102 00:09:20,369 --> 00:09:43,206 [Sara]: And so they move fast. And so the ability to be able to kind of take this data and then say, you, if they tested it into some broad reach media, which they can't measure, even with the level of cookies that we're getting right now. How do you make sure that the television is having an impact on your business? And that's how this marketing mix has really been able to help us. So you know, clients like Chewy 103 00:09:43,657 --> 00:09:47,878 [Sara]: that I've worked with in the past have leveraged our models to be able to really grow their business. 104 00:09:48,989 --> 00:09:51,792 [Sara]: We're working with several other B2C companies 105 00:09:52,324 --> 00:09:53,618 [Sara]: recently that have 106 00:09:54,086 --> 00:10:01,018 [Sara]: used the MMM to be able to prove out this broader reach media, to be able to then reallocate their budgets 107 00:10:01,471 --> 00:10:02,345 [Sara]: to grow their business. 108 00:10:07,616 --> 00:10:09,608 [Jason]: Thank you. So kind of along those lines. The... 109 00:10:11,372 --> 00:10:17,802 [Jason]: It's very actionable what you're talking about here. Right? And so one of the biggest gaps I've seen in the past twenty years of working in this field, 110 00:10:18,373 --> 00:10:20,677 [Jason]: actually more than twenty years now. This is a long time. 111 00:10:21,710 --> 00:10:24,967 [Jason]: Is that, like, folks do spend a lot of time on the data gathering and, like, 112 00:10:25,699 --> 00:10:28,752 [Jason]: visualizing and they can create and spend a lot of effort 113 00:10:29,210 --> 00:10:33,301 [Jason]: coming up with dashboards and metrics and analytics that 114 00:10:33,694 --> 00:10:37,358 [Jason]: make people feel good. Like, oh, I know these numbers. However, 115 00:10:37,756 --> 00:10:38,973 [Jason]: it doesn't necessarily 116 00:10:39,429 --> 00:10:48,141 [Jason]: change the way people do business. It doesn't actually change... Decisions that are being made, it's not necessarily used in a practical way. Some of the things you're talking about 117 00:10:50,201 --> 00:10:52,133 [Jason]: are true practical applications 118 00:10:52,508 --> 00:10:54,677 [Jason]: of the data and, like, the real actual 119 00:10:55,291 --> 00:11:03,516 [Jason]: value that we're trying to create is actually being achieved. So I think a lot of that comes from, based on my conversations with you and what I've learned here, 120 00:11:04,048 --> 00:11:11,472 [Jason]: is, you know, you... Your ability to take your media experience and this concept of, like, combining, like data storytelling 121 00:11:12,163 --> 00:11:16,949 [Jason]: with the actual output of the analytics, output of tools like MMM and MTA, to create 122 00:11:17,659 --> 00:11:18,718 [Jason]: real actionable 123 00:11:19,337 --> 00:11:22,853 [Jason]: recommendations or even self service actions that your clients can take with your products. 124 00:11:23,732 --> 00:11:27,440 [Jason]: Wondering if you could maybe sort of, like, expand on how actually seeing, 125 00:11:27,975 --> 00:11:31,262 [Jason]: you know, through your career, your ability to actually deliver these actionable 126 00:11:32,354 --> 00:11:34,128 [Jason]: recommendations and seeing your clients actually 127 00:11:34,439 --> 00:11:35,338 [Jason]: do things differently? 128 00:11:35,716 --> 00:11:37,891 [Sara]: Yeah. You know, I think it's interestingly, 129 00:11:39,386 --> 00:11:41,381 [Sara]: to that question, I think the big thing... 130 00:11:42,433 --> 00:11:53,960 [Sara]: You can... You have the data, and then you can say, the data is telling you this, let's go change that. There is a function of, can the client take that risk to say yes, 131 00:11:54,417 --> 00:12:03,999 [Sara]: and actually put it in a marketplace and test it? So the way I typically approach it with clients is here's the data set. We're running it through. We're finding this insight, 132 00:12:04,716 --> 00:12:15,001 [Sara]: then combining that with a media metric. Right? There's actual media knowledge and media metrics that need to be combined. I've seen... And I've actually worked with other data analytics teams. 133 00:12:15,574 --> 00:12:24,806 [Sara]: Where they're just giving me the data and saying good luck, figure out what it means. And I think it's really important to connect this, kind of, front-end data, what I call media data, 134 00:12:26,652 --> 00:12:31,188 [Sara]: to cross reference what this, what the actual results and back-end data is. 135 00:12:31,825 --> 00:12:32,564 [Sara]: And then 136 00:12:32,939 --> 00:12:39,733 [Sara]: the second step is okay, client. Like, here's what it's saying. Here's how we need to then put it in the market and test it. 137 00:12:40,451 --> 00:12:44,954 [Sara]: Obviously, a lot of clients are going to be risk averse with their budget. So how you get 138 00:12:45,329 --> 00:12:47,579 [Sara]: a test and market that is 139 00:12:49,625 --> 00:12:50,421 [Sara]: minimizing their risk. 140 00:12:51,071 --> 00:13:19,276 [Sara]: And, you know, those are those things that marketing people know, that analytics people might not know. And you know, is that that 80-20 rule. Can I take that 20 percent of that budget and test it? Because I know 80 percent budget is working hard for me, that, I know that the revenue is gonna be coming in. And then so we'll take... That's our approach, is basically to be able to use that test budget, put it in market, make sure that there's enough data points to be able to come back and validate it, then roll out with it 141 00:13:20,248 --> 00:13:21,045 [Sara]: as we go forward. 142 00:13:24,156 --> 00:13:25,533 [Jason]: Well, I think... So 143 00:13:26,868 --> 00:13:29,362 [Jason]: thinking about that, like, how you're actually able to 144 00:13:31,419 --> 00:13:36,680 [Jason]: kind of bring this together, right? And bring this together at scale too, so replicating that process 145 00:13:37,546 --> 00:13:45,031 [Jason]: for not just your interactions with clients, but your team's interactions with clients and your team's ability to do that. I mean, you have extensive leadership 146 00:13:46,242 --> 00:13:47,540 [Jason]: experience. And I'm wondering 147 00:13:49,274 --> 00:13:50,071 [Jason]: how can you take... 148 00:13:50,869 --> 00:13:53,298 [Jason]: Do you have any specific sort of like, philosophies 149 00:13:53,673 --> 00:13:56,399 [Jason]: or, like, how have you been able to take, kind of like 150 00:13:57,092 --> 00:13:57,910 [Jason]: the Sara 151 00:13:58,444 --> 00:14:04,188 [Jason]: version of this and actually help others replicate that and find that success at your company with your clients? 152 00:14:04,746 --> 00:14:05,644 [Sara]: Yeah. That's 153 00:14:06,100 --> 00:14:19,352 [Sara]: for me, that's really important of like, this idea of mentorship. For my team. But, you know, first and foremost, I always try to hire people that are way smarter than me and, you know can really provide a different perspective. I think that's really important. 154 00:14:20,165 --> 00:14:20,665 [Sara]: And 155 00:14:21,683 --> 00:14:22,082 [Sara]: excuse me. 156 00:14:23,201 --> 00:14:35,257 [Sara]: And you know, I wanna hope that I lead with knowledge and innovation, and commitment to, like, really hard work. And sprinkling in a little bit of nurturing, and that's where your question is really kind of triangulating to, which is 157 00:14:35,803 --> 00:14:44,489 [Sara]: you know, I'm not a perfect leader, but to be able to kind of make sure that we're, that I'm teaching the team how to think about the business, and 158 00:14:44,799 --> 00:14:48,004 [Sara]: and putting the client first, and making sure 159 00:14:48,380 --> 00:14:49,437 [Sara]: that we are 160 00:14:50,369 --> 00:14:53,655 [Sara]: being able to provide those opportunities to really 161 00:14:54,364 --> 00:15:13,425 [Sara]: show the client how to grow their business. You know, advertising is full of opportunities to fail. I always say that to everybody, like, in my 25 years of being in it, you know, I can't remember an execution... doing work for a client where something didn't fall apart, but, and it's really about how quickly can you recover? 162 00:15:13,985 --> 00:15:14,485 [Sara]: And 163 00:15:16,065 --> 00:15:20,696 [Sara]: and it becomes really, really stressful. So what I've really focused on is that recovery process, 164 00:15:21,093 --> 00:15:28,038 [Sara]: and how quickly can we pick ourselves up as a team, and kind of move forward, and make sense make sense of everything that's happening and change 165 00:15:28,570 --> 00:15:30,658 [Sara]: quickly with some sense of grace 166 00:15:31,032 --> 00:15:31,428 [Sara]: around it. 167 00:15:33,829 --> 00:15:41,760 [Jason]: How do you find, what are, what are some of your tips to dealing with, sort of, like going through these with grace with customers? So in my experience, there can be varying, 168 00:15:42,153 --> 00:15:55,930 [Jason]: it's a very high-stress position to be in. Because, you know, a client can... The bar for firing an agency is much lower, right, than the other way. So I guess, do you have any sort of guidance or tips on navigating those gracefully? 169 00:15:56,328 --> 00:16:00,331 [Sara]: Yeah. I think it... It's baked in honesty. Right? Like, I think if... 170 00:16:01,768 --> 00:16:03,445 [Sara]: And, you know, hopefully, 171 00:16:03,924 --> 00:16:07,436 [Sara]: both peoples on both sides of the business, the agency as well as the client, 172 00:16:08,408 --> 00:16:08,908 [Sara]: are 173 00:16:09,442 --> 00:16:11,294 [Sara]: reasonable people and, 174 00:16:11,987 --> 00:16:18,449 [Sara]: you know, and the client... Most of my clients have, I've always known that there's always gonna be some slip ups on either side. 175 00:16:19,008 --> 00:16:21,741 [Sara]: And I think that it's baked in trust and honesty. 176 00:16:22,118 --> 00:16:26,686 [Sara]: And I think, you know, and I do, you're right. I see in the industry that there's these, kind of, 177 00:16:27,319 --> 00:16:28,298 [Sara]: turnstyle 178 00:16:29,157 --> 00:16:35,730 [Sara]: relationships that happen with agencies that didn't exist before. And I think that that's part of it, is there's 179 00:16:36,124 --> 00:16:44,195 [Sara]: there's maybe some inherent lack of trust. And I think that over you, you have to develop a baseline of a good relationship. 180 00:16:44,846 --> 00:16:45,504 [Sara]: And then 181 00:16:45,876 --> 00:16:48,810 [Sara]: as things happen, as we move quickly and things happen, 182 00:16:49,364 --> 00:16:51,664 [Sara]: everybody gives each other a little bit more of a grace period. 183 00:16:53,913 --> 00:16:55,132 [Jason]: Yeah. I think the 184 00:16:56,630 --> 00:16:57,130 [Jason]: the 185 00:16:57,828 --> 00:16:58,808 [Jason]: living in Zoom 186 00:16:59,187 --> 00:17:18,965 [Jason]: reality does sometimes make those relationship-building, it's been a little bit of a challenge. You know, we're not being able to be as in-person as much, but it does also allow for more frequent touch points because it is easier to connect through these ways. And we're used to it. Are you... I guess, like, how are you seeing the relationship side developing over the past couple of years? 187 00:17:19,840 --> 00:17:21,614 [Sara]: It's been hard. You know, I think that 188 00:17:22,387 --> 00:17:24,399 [Sara]: there is nothing like face-to-face 189 00:17:24,854 --> 00:17:28,235 [Sara]: conversations and you... There's the nuance of 190 00:17:28,695 --> 00:17:32,635 [Sara]: all the communication that's onset, that you can see face-to-face. And 191 00:17:34,054 --> 00:17:38,316 [Sara]: but I think what we've done is try to touch base with clients more 192 00:17:39,006 --> 00:17:51,728 [Sara]: and more frequently in shorter time periods, like, I don't need a thirty, I don't need an hour call with you. 30 minutes is fine, or 15 minutes, just to touch base. And sometimes I just reach out to clients just to say hi and see how they're doing. 193 00:17:52,857 --> 00:17:58,057 [Sara]: Because those are, those things that happen face-to-face that you can't do, you have to make a concerted effort 194 00:17:59,231 --> 00:18:00,824 [Sara]: when you're working in the Zoom world. 195 00:18:02,431 --> 00:18:14,000 [Jason]: Yeah. It sounds like I would, I would say that you're being very intentional with your client outreach and you're doing it in a very focused and intentional way and cultivating it specifically, just for the relationships, not just to check in on status. 195 00:18:14,200 --> 00:18:31,265 [Sara]: Yeah. And I'm doing that with, you know, with staff too. Right? Like, with the team. I think that that's also important. Just every once in a while, just like Slack them, just ask them how they are or right before we get on the, you know, we're in a team meeting, asking people random questions to see what's going on. I think 196 00:18:31,879 --> 00:18:34,028 [Sara]: you're right. It's a very intentional effort. 197 00:18:34,983 --> 00:18:35,483 [Sara]: So 198 00:18:36,750 --> 00:18:38,344 [Sara]: You have to be super conscientious of it. 199 00:18:42,488 --> 00:18:46,280 [Jason]: One of still fairly-related topic, but thinking about 200 00:18:46,660 --> 00:18:48,280 [Jason]: just more in general, sort of 201 00:18:49,460 --> 00:18:52,120 [Jason]: mentorship and advice that you give to folks. So 202 00:18:52,513 --> 00:18:59,910 [Jason]: I think, you know, and with your experience, I mean, you faced some significant headwind, I think in your career, you know, being 203 00:19:00,299 --> 00:19:04,156 [Jason]: a woman in a data and analytics field, and then also in 204 00:19:04,535 --> 00:19:17,847 [Jason]: entrepreneurship. I think it's a very... You're facing other... You're facing challenges that I'm not even aware are out there, right, having been in the same field for roughly the same amount of time and doing similar work. And I think, I would love to hear if you have any perspective or anything that you would like to share 205 00:19:18,577 --> 00:19:20,825 [Jason]: with folks in that regard, that you've found, you know, helpful or advice. We'd appreciate that. 206 00:19:21,437 --> 00:19:28,791 [Sara]: Yeah. Yeah... You know, and it's interesting because I'm also a person of color. And 207 00:19:29,888 --> 00:19:43,164 [Sara]: so when I started in the business, even in advertising, there just weren’t a lot of women persons of color, even like male persons of color. And so there was the female piece of it and then there's kind of the minority piece of it. And so 208 00:19:44,514 --> 00:19:49,494 [Sara]: I think the advice that I have, and I've spoken on panels about this, and it's... 209 00:19:49,874 --> 00:20:08,148 [Sara]: To me, the great thing about this... And I worked in Germany, which was interesting. I remember distinctly when I was about to finish my job there. The women that were working there were like, go home. Because there is no room for someone like you here, because you're really smart, and there's a glass ceiling, and you're never going to be able to break that in this society. 210 00:20:08,959 --> 00:20:11,372 [Sara]: And so I came back to California 211 00:20:11,749 --> 00:20:12,249 [Sara]: and 212 00:20:12,865 --> 00:20:28,031 [Sara]: started my career. And I think what my advice to anybody is, you know, just take advantage of the opportunities and, you know, it's, I can't remember who said it like Thomas Edison or something... But opportunity looks, is always cloaked in what looks like hard work and it's true. 213 00:20:28,590 --> 00:20:31,884 [Sara]: And I was very, very lucky. I had a lot of 214 00:20:32,422 --> 00:20:38,436 [Sara]: mentors that were helping me along the way, but they also knew that I was committed to doing the work. And I think that advice is 215 00:20:39,051 --> 00:20:39,530 [Sara]: don't let... 216 00:20:40,247 --> 00:20:43,057 [Sara]: You know, if you if you can't grow your career in a certain 217 00:20:43,449 --> 00:20:45,041 [Sara]: company, or a certain field, 218 00:20:45,598 --> 00:20:49,259 [Sara]: what can you do to find the opportunities in other areas? 219 00:20:50,055 --> 00:20:55,340 [Sara]: Whether you want to switch your career and find something that's a better fit, or do you go to a different company. 220 00:20:55,900 --> 00:20:56,559 [Sara]: I think 221 00:20:57,258 --> 00:21:00,455 [Sara]: having as many different experiences as possible is really, really important 222 00:21:03,982 --> 00:21:05,200 [Jason]: I love that. I think 223 00:21:06,616 --> 00:21:07,893 [Jason]: I have one more question for you. 224 00:21:08,611 --> 00:21:18,215 [Jason]: And I think, I mean somewhat related to looking at opportunities and things too... But so, if if you weren't in a marketing analytics profession. So take that off the table, 225 00:21:18,949 --> 00:21:20,300 [Jason]: what would you be doing? 226 00:21:20,500 --> 00:21:28,735 [Sara]: We were just having this conversation with some friends at a cocktail hour. And I was like, I would totally wanna be a private detective 227 00:21:29,651 --> 00:21:35,310 [Sara]: for the police department, because, or a detective for the police department, I should say, like Olivia Benson on SVU. 228 00:21:36,346 --> 00:21:39,539 [Sara]: It's I think it's my... I I think my... 229 00:21:40,253 --> 00:21:45,572 [Sara]: We always say, what's your superpower at work? Like, what are you really good at? I think for me, I'm a good problem solver. 230 00:21:46,223 --> 00:21:53,156 [Sara]: I love looking and finding problems to be able to solve, and putting those pieces together. So it would be really interesting to do that 231 00:21:53,968 --> 00:21:56,520 [Sara]: in a situation that could really help somebody. 232 00:21:59,153 --> 00:22:03,061 [Jason]: I love it. I think it's great. And I will note that my father was a police detective. 233 00:22:03,714 --> 00:22:05,386 [Jason]: I'm very familiar with that line of work. 234 00:22:06,421 --> 00:22:09,686 [Jason]: I'm not quite sure it's as glamorous as it's been depicted on television. 235 00:22:10,164 --> 00:22:11,358 [Jason]: It's definitely a lot of hard work. 236 00:22:12,489 --> 00:22:17,209 [Sara]: Yeah. And advertising is not glamorous like Mad Men shows it to be either. 237 00:22:20,020 --> 00:22:24,314 [Anna]: Well, as as a total true crime junkie, I'm with you. I totally agree with that. 238 00:22:25,268 --> 00:22:26,801 [Sara]: We can exchange true crime 239 00:22:27,335 --> 00:22:28,448 [Sara]: TV shows that we watch. 240 00:22:29,339 --> 00:22:30,296 [Anna]: Oh, my gosh. I love it. 241 00:22:32,609 --> 00:22:38,373 [Anna]: Well, thank you, Sara, so much for your time today. I think your story is super inspiring 242 00:22:39,401 --> 00:22:45,739 [Anna]: and we're really grateful that you took the time to walk us through your career journey, lend some inspiration, lend some advice 243 00:22:46,706 --> 00:22:49,879 [Anna]: that you've learned along the way. So thank you again so much. 244 00:22:51,148 --> 00:22:57,590 [Anna]: Before we wrap things up, is there anything else you would like to share with our audience, any parting advice or thoughts? 245 00:22:58,939 --> 00:23:01,161 [Sara]: First of all, I wanted to thank you both for having me. 246 00:23:02,129 --> 00:23:04,064 [Sara]: I think... I think 247 00:23:04,839 --> 00:23:10,521 [Sara]: as Jason knows, the data world is changing every single day, and I think if you're working in it, is 248 00:23:10,913 --> 00:23:11,812 [Sara]: to be flexible. 249 00:23:12,349 --> 00:23:22,585 [Sara]: And to, kind of, bob and weave with the industry. So I think there's just... I always look at things as endless opportunities, as opposed to, kind of, roadblocks. So hopefully 250 00:23:23,356 --> 00:23:25,661 [Sara]: that that, I continue to see it that way. 251 00:23:26,535 --> 00:23:32,304 [Anna]: The Real Intelligence podcast is presented by RXA, a leading data science consulting company. 252 00:23:32,784 --> 00:23:45,417 [Anna]: RXA provides project-based consulting, staff augmentation, and direct hire staffing services for data science, data engineering, and business intelligence to help our clients unlock the value in their data faster. 253 00:23:46,451 --> 00:23:52,359 [Anna]: Learn more by visiting our website at www.rxa.io 254 00:23:52,908 --> 00:23:57,051 [Anna]: or contacting our team at [email protected] today.

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