1 00:00:01,760 --> 00:00:05,280 Speaker 1: You're listening to Math and Magic, a production I heart radio. 2 00:00:08,640 --> 00:00:12,920 Speaker 1: What should what can machines do? The theory has been 3 00:00:12,960 --> 00:00:15,360 Speaker 1: around for a long time. What wasn't really there was 4 00:00:15,440 --> 00:00:18,440 Speaker 1: the computing power to actually make it real. A couple 5 00:00:18,440 --> 00:00:21,800 Speaker 1: of us met debugging video games. The reason that we 6 00:00:21,840 --> 00:00:24,440 Speaker 1: started the companies because we were unemployable. You know, we 7 00:00:24,440 --> 00:00:26,560 Speaker 1: were twenty and we thought we were smarter than anybody, 8 00:00:26,560 --> 00:00:28,000 Speaker 1: and we didn't realize we had a lot of stuff 9 00:00:28,040 --> 00:00:29,920 Speaker 1: to learn, so we just figured we'd give it a go. 10 00:00:38,520 --> 00:00:41,280 Speaker 1: I am Bob Pittman. Welcome to Math and Magic Stories 11 00:00:41,320 --> 00:00:44,800 Speaker 1: from the Frontiers and Marketing, where we explore the impact 12 00:00:44,840 --> 00:00:47,479 Speaker 1: of great marketing and how it's developed today. We have 13 00:00:47,560 --> 00:00:51,080 Speaker 1: someone who's been through many pieces of the marketing puzzle himself. 14 00:00:51,400 --> 00:01:03,560 Speaker 1: He's the VP and CEO of IPG, Philippe Brokalski, believe 15 00:01:03,600 --> 00:01:08,199 Speaker 1: embodies the modern model of marketing. Speaks three languages, born 16 00:01:08,319 --> 00:01:11,280 Speaker 1: and raised outside the US, but he's also fluent in 17 00:01:11,440 --> 00:01:16,360 Speaker 1: data communications, traditional advertising. He speaks tech, brand position and 18 00:01:16,400 --> 00:01:20,360 Speaker 1: communications as well. He started a while ago as an 19 00:01:20,400 --> 00:01:24,919 Speaker 1: AI pioneer and then came to advertising. Like Maurice Levitt publicists. 20 00:01:25,200 --> 00:01:29,319 Speaker 1: He has an iconic story of personal corporate bravery. His 21 00:01:29,440 --> 00:01:32,320 Speaker 1: judgment and insights have defined his career, and his inner 22 00:01:32,319 --> 00:01:36,040 Speaker 1: personal skills have helped build and support an extraordinary management 23 00:01:36,040 --> 00:01:39,119 Speaker 1: team at IPG. And he and I have a special bot. 24 00:01:39,160 --> 00:01:41,679 Speaker 1: And I'm sure he doesn't know about I'm a preacher's kid. 25 00:01:41,840 --> 00:01:45,800 Speaker 1: He's a preacher's husband. Philippe. Welcome, Thank you boy. If 26 00:01:45,840 --> 00:01:48,320 Speaker 1: anybody could see me, I'm blushing. We have lots to 27 00:01:48,360 --> 00:01:50,560 Speaker 1: cover day, but before we do, I want to dig 28 00:01:50,560 --> 00:01:55,600 Speaker 1: into you in sixty seconds. Ready? Yep? You prefer cats 29 00:01:55,680 --> 00:02:00,840 Speaker 1: or dogs? Dogs? Twitter? Instagram, Instagram, New York City, Mexico City. 30 00:02:01,200 --> 00:02:03,880 Speaker 1: Oh that's a tough one. My hometown, but New York City. 31 00:02:03,880 --> 00:02:06,480 Speaker 1: I've been here a long time. Call or text, text 32 00:02:06,680 --> 00:02:09,400 Speaker 1: because I got kids at an age where that's actually 33 00:02:09,440 --> 00:02:11,840 Speaker 1: the only way they respond to you. Early riser or 34 00:02:11,960 --> 00:02:16,840 Speaker 1: night out. I'm a night owloch or caviar. Of course, 35 00:02:17,040 --> 00:02:19,920 Speaker 1: it's about to get harder. Secret talent can nap on 36 00:02:20,040 --> 00:02:23,720 Speaker 1: a dime anywhere, at any time. Smartest person you know 37 00:02:24,000 --> 00:02:26,160 Speaker 1: the preacher you mentioned though, and that I'm married to 38 00:02:26,360 --> 00:02:30,560 Speaker 1: childhood hero Nelson Mandela. First job making beds at the 39 00:02:30,639 --> 00:02:34,800 Speaker 1: Sir Francis Drake hotel, historical libel abe Lincoln was pretty cool. 40 00:02:34,880 --> 00:02:37,919 Speaker 1: Who would play you in a movie? I'd played George Stephanopolis, 41 00:02:38,000 --> 00:02:40,239 Speaker 1: or so I've been told. So I said, there's probably 42 00:02:40,280 --> 00:02:44,480 Speaker 1: a similarity. The proudest personal achievement probably my kids. What's 43 00:02:44,480 --> 00:02:47,560 Speaker 1: your favorite life scream flavor? Salted caramel? What did you 44 00:02:47,560 --> 00:02:50,400 Speaker 1: want to be a new growing up professional soccer? Blob 45 00:02:50,800 --> 00:02:55,040 Speaker 1: favorite smell? I've never been asked that Mexican food best 46 00:02:55,080 --> 00:02:58,640 Speaker 1: live concert. Well, my first live concert early mid seventies 47 00:02:58,639 --> 00:03:02,480 Speaker 1: is the Doobie Brothers. Let's Jump in. Okay. When Michael Roth, 48 00:03:02,560 --> 00:03:05,680 Speaker 1: who had a full career in corporate America, moved into 49 00:03:05,680 --> 00:03:10,200 Speaker 1: the CEO of job at IPG with no advertising experience, 50 00:03:10,560 --> 00:03:12,680 Speaker 1: it's been said you were the one who helped him 51 00:03:12,720 --> 00:03:16,120 Speaker 1: navigate and understand the advertising business that accurate. It was 52 00:03:16,160 --> 00:03:19,840 Speaker 1: an interesting opportunity where I think that the company needed 53 00:03:19,880 --> 00:03:23,160 Speaker 1: somebody who had his skills. There was a moment right 54 00:03:23,200 --> 00:03:26,800 Speaker 1: at the beginning when we'd brought some management consultancy and 55 00:03:26,840 --> 00:03:29,120 Speaker 1: to take a look at what was going on inside 56 00:03:29,120 --> 00:03:33,000 Speaker 1: the company, and Michael said, we need somebody writing shotgun 57 00:03:33,080 --> 00:03:35,720 Speaker 1: with them who really knows the business. So he gave 58 00:03:35,760 --> 00:03:37,920 Speaker 1: me that opportunity, and then that's how we got to 59 00:03:37,960 --> 00:03:40,560 Speaker 1: know one another. And we've been working together now for 60 00:03:41,120 --> 00:03:43,960 Speaker 1: seventeen years. I've jumped in the businesses. I knew nothing 61 00:03:44,000 --> 00:03:46,160 Speaker 1: about it, and there was always worked out pretty well. 62 00:03:46,200 --> 00:03:47,800 Speaker 1: It did work out pretty well, but there was always 63 00:03:47,840 --> 00:03:50,240 Speaker 1: somebody who did help me go oh no, no, let 64 00:03:50,240 --> 00:03:51,839 Speaker 1: me explain through put to you at the theme park 65 00:03:51,880 --> 00:03:55,720 Speaker 1: business or whatever it was. Clearly you have been that person. 66 00:03:55,920 --> 00:03:58,440 Speaker 1: How do you say, Okay, these are the first ten 67 00:03:58,560 --> 00:04:00,960 Speaker 1: things AUTO talk to you about and bring you up 68 00:04:00,960 --> 00:04:04,120 Speaker 1: to speed on. I don't know that you actually do 69 00:04:04,320 --> 00:04:08,680 Speaker 1: it quite in a way that's that methodical and systematic. 70 00:04:08,920 --> 00:04:10,600 Speaker 1: I think you kind of get thrown into the deep 71 00:04:10,680 --> 00:04:12,720 Speaker 1: end of the pool, right, and so you sort them 72 00:04:13,600 --> 00:04:17,520 Speaker 1: with a combination of here's a rank order of what 73 00:04:17,680 --> 00:04:20,599 Speaker 1: you need to understand to get oriented in this world, 74 00:04:20,960 --> 00:04:23,039 Speaker 1: and here's the thing that just landed on our lap 75 00:04:23,120 --> 00:04:26,200 Speaker 1: today that needs to get resolved, and let's just get 76 00:04:26,240 --> 00:04:30,159 Speaker 1: after what we need to understand so we can clear 77 00:04:30,200 --> 00:04:32,719 Speaker 1: this one off the plate. And a business like ours, 78 00:04:32,800 --> 00:04:36,200 Speaker 1: so much of it is the personalities and the talent. 79 00:04:36,800 --> 00:04:39,920 Speaker 1: It's as much about figuring out who are these people, 80 00:04:40,000 --> 00:04:42,320 Speaker 1: what motivates them, how are we going to get them 81 00:04:42,360 --> 00:04:46,920 Speaker 1: focused and working as a team. And then what's going 82 00:04:47,000 --> 00:04:52,679 Speaker 1: on at a macrobe business trend level was an organic process. 83 00:04:53,080 --> 00:04:56,159 Speaker 1: So over the last two years or more, in the 84 00:04:56,320 --> 00:04:59,640 Speaker 1: vast majority of quarters, i PG has outperformed the overall 85 00:04:59,680 --> 00:05:02,880 Speaker 1: In this three in organic revenue growth was having a 86 00:05:02,920 --> 00:05:06,560 Speaker 1: CEO who was an exceptional business person but fresh to 87 00:05:06,600 --> 00:05:10,960 Speaker 1: the business. A part of the secret sauce for you. Sure, 88 00:05:11,160 --> 00:05:14,680 Speaker 1: We've spent a bunch of years now differentiating ourselves in 89 00:05:14,720 --> 00:05:17,680 Speaker 1: a couple of ways. One is investments in the talent 90 00:05:17,839 --> 00:05:21,919 Speaker 1: and not making the story about us, but making it 91 00:05:21,960 --> 00:05:26,200 Speaker 1: about how we support and give the right kind of 92 00:05:26,320 --> 00:05:29,960 Speaker 1: stage to the agency brands. Then how we get them 93 00:05:30,000 --> 00:05:33,040 Speaker 1: to work together, how we orchestrate a way of working 94 00:05:33,480 --> 00:05:36,120 Speaker 1: where you get the most because you're getting the right answers, 95 00:05:36,200 --> 00:05:41,240 Speaker 1: not the silo driven answers. And then last the combination 96 00:05:41,279 --> 00:05:45,359 Speaker 1: of starting to stir in data science, that rigor of 97 00:05:45,480 --> 00:05:51,000 Speaker 1: tech with the heart of and the craft of traditional advertising. 98 00:05:51,040 --> 00:05:53,279 Speaker 1: I want to dig into those, but before we get 99 00:05:53,320 --> 00:05:56,159 Speaker 1: into that business part, I want to go back to 100 00:05:56,200 --> 00:05:58,320 Speaker 1: the beginning. I want to get some context on you. 101 00:05:58,320 --> 00:06:00,800 Speaker 1: You mentioned you were born in Mexico, said in the sixties, 102 00:06:01,240 --> 00:06:03,520 Speaker 1: tell us about your family and paint a picture of 103 00:06:03,560 --> 00:06:07,120 Speaker 1: your childhood and Mexico City in that era, It's always 104 00:06:07,120 --> 00:06:09,640 Speaker 1: been a big city, so I guess I'm a big 105 00:06:09,680 --> 00:06:11,640 Speaker 1: city kid. I like being in a place where there's 106 00:06:11,640 --> 00:06:14,120 Speaker 1: always something going on. I'm kind of a mutt, so 107 00:06:14,120 --> 00:06:17,480 Speaker 1: I've got a lot of European and some Latin American. 108 00:06:18,400 --> 00:06:21,640 Speaker 1: I'm an immigrant who didn't speak English when we moved 109 00:06:21,640 --> 00:06:24,960 Speaker 1: here as a kid. But I was actually already a 110 00:06:25,080 --> 00:06:28,719 Speaker 1: US citizen because my mom's grandfather left Romania in the 111 00:06:28,920 --> 00:06:32,719 Speaker 1: late eighteen nineties, moved to the US and was a 112 00:06:32,920 --> 00:06:35,720 Speaker 1: railroad engineer. All his kids were born to US, were 113 00:06:35,720 --> 00:06:38,479 Speaker 1: born American citizens, ended up in San Francisco when the 114 00:06:38,480 --> 00:06:41,880 Speaker 1: Big Quake kid and his wife took them all back 115 00:06:41,920 --> 00:06:46,040 Speaker 1: to Romania Wow in like nineteen o nine or something. 116 00:06:46,400 --> 00:06:48,600 Speaker 1: My mom did some of her growing up in New York. 117 00:06:48,800 --> 00:06:51,680 Speaker 1: My parents actually met here, and my dad just lived 118 00:06:51,680 --> 00:06:53,839 Speaker 1: in a bunch of places growing up because his dad's 119 00:06:53,960 --> 00:06:57,040 Speaker 1: business took him to most of Latin America. My dad 120 00:06:57,080 --> 00:07:01,480 Speaker 1: actually spent his high school years in Cuba pre the Revolution. 121 00:07:01,760 --> 00:07:04,840 Speaker 1: When did you leave Mexico? That was about eight in 122 00:07:05,000 --> 00:07:08,440 Speaker 1: nineteen seventy and you moved to San Francisco. What did 123 00:07:08,440 --> 00:07:11,560 Speaker 1: you bring from Mexico with you? I mean Mexico in 124 00:07:11,640 --> 00:07:16,080 Speaker 1: that era had that very robust creative scene there. Did 125 00:07:16,080 --> 00:07:18,280 Speaker 1: that affect you in any way? Did it come with you? 126 00:07:19,000 --> 00:07:21,760 Speaker 1: It was an interesting mix. There's a lot of creativity. 127 00:07:21,760 --> 00:07:24,080 Speaker 1: There was great architecture going on at the time. There 128 00:07:24,120 --> 00:07:26,240 Speaker 1: was a lot of sort of social stuff going on. 129 00:07:26,280 --> 00:07:28,520 Speaker 1: I mean there was the political scene was a version 130 00:07:28,560 --> 00:07:31,520 Speaker 1: of stuff that you were seeing in this country in 131 00:07:31,560 --> 00:07:36,200 Speaker 1: the sixties. There's a certain kind of curiosity, restlessness. You're 132 00:07:36,240 --> 00:07:39,160 Speaker 1: open to new ideas. I think the expectation is that 133 00:07:39,320 --> 00:07:41,480 Speaker 1: life is going to be growing interesting stuff your way. 134 00:07:41,640 --> 00:07:44,400 Speaker 1: You go to San Francisco, you wind up at Harvard. 135 00:07:44,480 --> 00:07:48,840 Speaker 1: Why Harvard? It was curiosity. I had no experience and 136 00:07:48,920 --> 00:07:52,680 Speaker 1: no reference points that would have led me to believe 137 00:07:52,760 --> 00:07:54,680 Speaker 1: that it was going to be good, bad, or in 138 00:07:54,760 --> 00:07:57,480 Speaker 1: different It was just sort of a if I don't 139 00:07:57,480 --> 00:07:59,760 Speaker 1: try it, I'll always ask myself why I didn't try it. 140 00:08:00,280 --> 00:08:01,960 Speaker 1: I'll give it a go. And what you major in 141 00:08:02,280 --> 00:08:05,680 Speaker 1: comparative literature and linguistics, that's a good preparation for AI. 142 00:08:06,000 --> 00:08:09,280 Speaker 1: I paid my way through school by programming computers. What 143 00:08:09,360 --> 00:08:12,520 Speaker 1: do you think college did for you? How did you change? 144 00:08:12,600 --> 00:08:16,280 Speaker 1: It was less about the formal classroom part of it 145 00:08:16,800 --> 00:08:19,559 Speaker 1: and more about figure out who you are and figure 146 00:08:19,560 --> 00:08:21,920 Speaker 1: out how to fit for yourself and just figure out 147 00:08:22,080 --> 00:08:25,800 Speaker 1: what really interests you. You leave school, you were on 148 00:08:25,840 --> 00:08:28,880 Speaker 1: a team that built and ultimately sold an artificial intelligence 149 00:08:28,880 --> 00:08:31,800 Speaker 1: company and Apple. What is interesting about this is this 150 00:08:31,880 --> 00:08:35,079 Speaker 1: was a while ago. This was really early. I'm not 151 00:08:35,160 --> 00:08:36,920 Speaker 1: even sure most people you said I I knew what 152 00:08:36,920 --> 00:08:39,600 Speaker 1: you were talking about at that moment. What was your 153 00:08:39,920 --> 00:08:43,319 Speaker 1: role on the team and what did you see in 154 00:08:43,679 --> 00:08:47,880 Speaker 1: a I at that moment. A lot of the ideas 155 00:08:48,440 --> 00:08:52,240 Speaker 1: and a lot of for instances, what should what can 156 00:08:52,760 --> 00:08:55,880 Speaker 1: machines do? The theory has been around for a long time. 157 00:08:56,000 --> 00:08:59,120 Speaker 1: What wasn't really there was the computing power to actually 158 00:08:59,120 --> 00:09:02,200 Speaker 1: make it real. The ideas were really just cognitive science. 159 00:09:02,240 --> 00:09:04,319 Speaker 1: What's your brain do? How does it work? Why can 160 00:09:04,400 --> 00:09:06,880 Speaker 1: a computer do or not do? Some of those things. 161 00:09:07,160 --> 00:09:10,480 Speaker 1: A couple of us met debugging video games got really 162 00:09:10,480 --> 00:09:12,560 Speaker 1: interested in some stuff that Alan Kay was doing with 163 00:09:12,600 --> 00:09:15,480 Speaker 1: small talk at the time. The reason that we started 164 00:09:15,520 --> 00:09:17,839 Speaker 1: the companies because we were unemployable. You know, we were 165 00:09:17,840 --> 00:09:19,880 Speaker 1: twenty and We thought we were smart than anybody, and 166 00:09:19,880 --> 00:09:21,680 Speaker 1: we didn't realize we had a lot of stuff to learn. 167 00:09:21,720 --> 00:09:23,559 Speaker 1: So we just figured we'd give it a go. And 168 00:09:23,600 --> 00:09:26,560 Speaker 1: how did you sell it? Apple? We build programming languages 169 00:09:26,559 --> 00:09:30,559 Speaker 1: and tools for the very early Macintosh is and eventually 170 00:09:30,640 --> 00:09:33,720 Speaker 1: we wanted to use the tools to build smart applications, 171 00:09:33,920 --> 00:09:36,040 Speaker 1: and we could never quite get out of our own way. 172 00:09:36,080 --> 00:09:39,000 Speaker 1: So we put a product into market, and then we 173 00:09:39,000 --> 00:09:41,439 Speaker 1: were learning that there were lots of issues around, oh, 174 00:09:41,480 --> 00:09:46,600 Speaker 1: you know, customer service and keeping our name out all 175 00:09:46,640 --> 00:09:50,600 Speaker 1: those things. Right, So there were four of us and 176 00:09:50,840 --> 00:09:52,800 Speaker 1: we kept at it for a while, four or five years, 177 00:09:52,840 --> 00:09:54,800 Speaker 1: trying to do it ourselves. And you know, we had 178 00:09:54,800 --> 00:09:58,320 Speaker 1: a really nice, niche company. But eventually a couple of 179 00:09:58,320 --> 00:10:01,160 Speaker 1: folks came calling, and I think we all kind of 180 00:10:01,520 --> 00:10:04,199 Speaker 1: burnt out a little on the work and maybe even 181 00:10:04,200 --> 00:10:06,280 Speaker 1: on each other as partners, and so it was the 182 00:10:06,360 --> 00:10:11,000 Speaker 1: right time. So you go from a high to advertising. 183 00:10:11,080 --> 00:10:13,880 Speaker 1: How did that happen? What was the catalyst? I wasn't 184 00:10:13,880 --> 00:10:15,640 Speaker 1: sure if I wanted to be a tech guy forever 185 00:10:16,040 --> 00:10:19,400 Speaker 1: and at the software company, I'd be in the interface 186 00:10:19,440 --> 00:10:20,960 Speaker 1: to the rest of the world. So I've done all 187 00:10:21,000 --> 00:10:24,240 Speaker 1: of our outreach, I've written business plans, I've dealt with 188 00:10:24,400 --> 00:10:27,440 Speaker 1: the public as it were, helped us figure out and 189 00:10:27,480 --> 00:10:31,640 Speaker 1: pick our design firm and do our advertising and ad 190 00:10:31,640 --> 00:10:34,199 Speaker 1: agencies seemed like a place where I could get exposure 191 00:10:34,240 --> 00:10:36,559 Speaker 1: to lots of other industries. So there was a very 192 00:10:36,600 --> 00:10:38,920 Speaker 1: creative agency in New York at the time called Levine 193 00:10:38,960 --> 00:10:41,640 Speaker 1: Huntley Schmitten Beaver. So I met a couple of the 194 00:10:41,880 --> 00:10:44,920 Speaker 1: guys who ran it, and they had a tech encounter 195 00:10:45,040 --> 00:10:48,360 Speaker 1: two and they were interested in seeing if we could 196 00:10:48,400 --> 00:10:50,520 Speaker 1: do something together. And I was interested in learning about 197 00:10:51,080 --> 00:10:53,200 Speaker 1: the beer account they had, in the car account they had, 198 00:10:53,280 --> 00:10:55,640 Speaker 1: and so I did business development for them. So the 199 00:10:55,679 --> 00:10:58,920 Speaker 1: bug bit you, yeah, just a bit. By ninety one, 200 00:10:59,000 --> 00:11:02,000 Speaker 1: you were the your vice president of corporate communications for 201 00:11:02,120 --> 00:11:04,920 Speaker 1: B B d O worldwide and then you went to 202 00:11:05,120 --> 00:11:08,960 Speaker 1: Win and R I mean all big names, big jobs. 203 00:11:09,440 --> 00:11:13,080 Speaker 1: The Internet was just emerging them. Did you feel the 204 00:11:13,120 --> 00:11:16,720 Speaker 1: impact right away of the Internet on the advertising business 205 00:11:17,000 --> 00:11:21,000 Speaker 1: or did you foresee the impact on advertising coming from tech. 206 00:11:21,360 --> 00:11:24,280 Speaker 1: I may have had the advantage of having more exposure 207 00:11:24,280 --> 00:11:26,040 Speaker 1: to it than a lot of folks in the business 208 00:11:26,480 --> 00:11:29,040 Speaker 1: at B Video, where I got to work with Alan 209 00:11:29,160 --> 00:11:32,560 Speaker 1: Rosenshein and Phil Dusonberry, who were real kind of legends 210 00:11:32,600 --> 00:11:35,520 Speaker 1: in the business. It was fun to have them say 211 00:11:35,600 --> 00:11:38,680 Speaker 1: what is this thing? Which we do about it? You 212 00:11:38,720 --> 00:11:41,000 Speaker 1: could see that it was going to have a really 213 00:11:41,280 --> 00:11:44,240 Speaker 1: lasting impact. But even when you can see the wave 214 00:11:44,480 --> 00:11:46,800 Speaker 1: and you think it's coming at speed, it takes a 215 00:11:46,840 --> 00:11:48,760 Speaker 1: certain amount of time to actually kind of break on 216 00:11:48,800 --> 00:11:51,920 Speaker 1: the shore. Right, some people are welcoming and some people 217 00:11:51,920 --> 00:11:53,599 Speaker 1: are kind of hoping that you just go away and 218 00:11:53,679 --> 00:11:56,040 Speaker 1: leave alone. I was at a o L in that period. 219 00:11:56,200 --> 00:11:58,880 Speaker 1: From our side, it didn't look like what happened was 220 00:11:58,880 --> 00:12:00,880 Speaker 1: going to happen. We were just form can't we get 221 00:12:00,960 --> 00:12:03,760 Speaker 1: some money for advertising? And I remember meeting with one 222 00:12:03,760 --> 00:12:06,560 Speaker 1: of the top one or two banks in America's CEO 223 00:12:07,000 --> 00:12:08,720 Speaker 1: and I go, you need to be on the internet, 224 00:12:08,760 --> 00:12:10,280 Speaker 1: and he goes, I don't know, We're not sure we 225 00:12:10,280 --> 00:12:12,600 Speaker 1: need to be on the internet. This was the late 226 00:12:12,679 --> 00:12:15,959 Speaker 1: nineties by then, and the same period you were in advertising, 227 00:12:15,960 --> 00:12:18,240 Speaker 1: and why and are what was on the other side 228 00:12:18,240 --> 00:12:21,000 Speaker 1: of it, What was the discussion inside the agencies and 229 00:12:21,160 --> 00:12:24,040 Speaker 1: who are the people pushing back? The folks who have 230 00:12:24,120 --> 00:12:26,640 Speaker 1: the most to protect, the most to lose will invariably 231 00:12:27,080 --> 00:12:29,560 Speaker 1: have the hardest time coming to grips with the reality 232 00:12:29,960 --> 00:12:33,720 Speaker 1: folks who are at a point in their journey career wise, 233 00:12:34,200 --> 00:12:36,480 Speaker 1: they'd rather hold on for just a little longer and 234 00:12:36,600 --> 00:12:40,600 Speaker 1: not have to either admit they don't understand something or 235 00:12:40,840 --> 00:12:45,800 Speaker 1: dramatically changed their behavior. It was definitely easily fifty fifty 236 00:12:45,840 --> 00:12:48,880 Speaker 1: if not, you know more, they either didn't want to 237 00:12:48,920 --> 00:12:51,040 Speaker 1: hear it, or they only wanted to hear it if 238 00:12:51,120 --> 00:12:52,439 Speaker 1: you told them that they were going to get to 239 00:12:52,480 --> 00:12:54,920 Speaker 1: control it, that once you helped them solve it, it 240 00:12:55,000 --> 00:12:57,040 Speaker 1: was gonna end up in their fiefdom, in their P 241 00:12:57,160 --> 00:13:00,120 Speaker 1: and L. So now we get the I p G. 242 00:13:01,040 --> 00:13:03,679 Speaker 1: Why did you make that jump? I had been at 243 00:13:03,720 --> 00:13:05,640 Speaker 1: one and R when it was acquired by w PP. 244 00:13:06,760 --> 00:13:10,160 Speaker 1: I had chosen not to stay at w PP, and 245 00:13:10,240 --> 00:13:13,200 Speaker 1: so there were a group of senior folks who left 246 00:13:13,240 --> 00:13:16,440 Speaker 1: when the merger took place. The IPG was kind of 247 00:13:16,480 --> 00:13:19,720 Speaker 1: a famous name, you know, stable of companies, many of 248 00:13:19,720 --> 00:13:23,160 Speaker 1: them really well known that had fallen on some hard times, 249 00:13:23,480 --> 00:13:25,960 Speaker 1: and so that seemed interesting from the outside looking in, 250 00:13:26,040 --> 00:13:28,520 Speaker 1: it was like, okay, they've got to be kind of 251 00:13:28,520 --> 00:13:31,360 Speaker 1: getting to the point where if you show up you 252 00:13:31,400 --> 00:13:33,320 Speaker 1: could help turn it around and it took a little 253 00:13:33,360 --> 00:13:35,840 Speaker 1: while longer than that for it to find bottom. What 254 00:13:35,920 --> 00:13:38,480 Speaker 1: did you learn from B, B, D, O, Y, and 255 00:13:38,720 --> 00:13:42,320 Speaker 1: R even your AI venture that gave you something unique 256 00:13:42,320 --> 00:13:46,439 Speaker 1: fry PG. It's like a mosaic, it's a combination of things. 257 00:13:46,440 --> 00:13:49,840 Speaker 1: So the tech thing has been sort of underlying for 258 00:13:49,880 --> 00:13:53,320 Speaker 1: a long time, working at Levine Huntley, which was a 259 00:13:53,400 --> 00:13:56,400 Speaker 1: creative boutique agency, and B Video, which was a big 260 00:13:56,440 --> 00:14:01,000 Speaker 1: global network that pride itself where the usp was creativity. 261 00:14:01,040 --> 00:14:03,520 Speaker 1: So I kind of had that piece from those guys. 262 00:14:04,480 --> 00:14:08,800 Speaker 1: Whiner was early in the integration game, and so they 263 00:14:08,920 --> 00:14:11,760 Speaker 1: talked a lot about trying to get the various pieces 264 00:14:11,920 --> 00:14:16,800 Speaker 1: of this emerging marketing puzzle to work together. What was 265 00:14:16,800 --> 00:14:20,240 Speaker 1: great about it was just learning how the various pieces worked, 266 00:14:20,280 --> 00:14:23,600 Speaker 1: what a direct agency did, what a media department was 267 00:14:23,640 --> 00:14:28,040 Speaker 1: all about, how you made money on PR That gave 268 00:14:28,120 --> 00:14:32,600 Speaker 1: me this breadth of exposure to so many fat sets 269 00:14:32,680 --> 00:14:35,160 Speaker 1: of the industry. There's a moment in time when you 270 00:14:35,160 --> 00:14:38,320 Speaker 1: can start pulling them together and solve some more complicated 271 00:14:38,400 --> 00:14:40,960 Speaker 1: kinds of problems. So let's talk about crises for minute. 272 00:14:41,240 --> 00:14:43,360 Speaker 1: We started at the beginning and I said, you've got 273 00:14:43,360 --> 00:14:46,720 Speaker 1: a story. One of those legendary stories of somebody who 274 00:14:46,800 --> 00:14:49,160 Speaker 1: had to go, I gotta go do this. I don't 275 00:14:49,160 --> 00:14:50,640 Speaker 1: know how this is going to turn out, but this 276 00:14:50,680 --> 00:14:52,760 Speaker 1: is the right thing to do in a board meeting. 277 00:14:52,920 --> 00:14:55,800 Speaker 1: Can you tell that story? Michael and I and then 278 00:14:55,840 --> 00:14:59,440 Speaker 1: Frank are a longtime CFO partner, Frank Mergantaller all kind 279 00:14:59,480 --> 00:15:02,280 Speaker 1: of came in through different doors within the space of 280 00:15:02,320 --> 00:15:04,360 Speaker 1: about a year a year and a half, none of 281 00:15:04,440 --> 00:15:08,040 Speaker 1: us having known one another. And um in those early 282 00:15:08,320 --> 00:15:11,240 Speaker 1: days when you had a big company that had been 283 00:15:11,240 --> 00:15:14,320 Speaker 1: put together through a lot a lot of acquisitions, none 284 00:15:14,360 --> 00:15:19,280 Speaker 1: of them particularly well integrated, and then just prior to 285 00:15:19,400 --> 00:15:22,720 Speaker 1: a financial crisis, when it all hit the fan, it 286 00:15:22,840 --> 00:15:26,040 Speaker 1: got pretty messy and pretty complicated for a while. In 287 00:15:26,280 --> 00:15:29,000 Speaker 1: that moment of crisis, it was just sort of people 288 00:15:29,040 --> 00:15:30,520 Speaker 1: pushing other people out of the way to get to 289 00:15:30,600 --> 00:15:33,200 Speaker 1: life raft. And so there was a board meeting at 290 00:15:33,200 --> 00:15:36,920 Speaker 1: which Michael was talking to our board about many of 291 00:15:36,960 --> 00:15:39,680 Speaker 1: the problems that the business had, and I end up 292 00:15:39,720 --> 00:15:41,880 Speaker 1: getting a call from a journalist in which some of 293 00:15:41,920 --> 00:15:46,240 Speaker 1: what was actually being discussed in that room. So Michael 294 00:15:46,240 --> 00:15:48,000 Speaker 1: and I have this funny moment where I walk into 295 00:15:48,000 --> 00:15:49,960 Speaker 1: the boardroom to tell them about stuff that's happening in 296 00:15:49,960 --> 00:15:52,040 Speaker 1: the boardroom. So I think for both of us it 297 00:15:52,160 --> 00:15:55,280 Speaker 1: was indicative of how crazy things were at this company. 298 00:15:55,600 --> 00:15:58,440 Speaker 1: Stories I've heard is that you got a lot of 299 00:15:58,520 --> 00:16:01,120 Speaker 1: credit for being willing to walk in and say when 300 00:16:01,120 --> 00:16:03,240 Speaker 1: it stopped, there's something going on you don't know about. 301 00:16:03,360 --> 00:16:05,680 Speaker 1: I've never quite heard that happening before in real time, 302 00:16:05,720 --> 00:16:09,800 Speaker 1: but certainly major mark. Just hold on a second, because 303 00:16:09,800 --> 00:16:12,120 Speaker 1: we've got so much more to talk about. We'll be 304 00:16:12,160 --> 00:16:18,440 Speaker 1: back after a quick break. Welcome back to Math and Magic. 305 00:16:22,120 --> 00:16:25,080 Speaker 1: You have had the top communications job, the chief strategy 306 00:16:25,080 --> 00:16:28,040 Speaker 1: and talent officer, and through some other jobs to finally 307 00:16:28,040 --> 00:16:31,440 Speaker 1: the the CEO of the company. I'd like to talk 308 00:16:31,440 --> 00:16:33,400 Speaker 1: about some of the big marks you've made. I see 309 00:16:33,440 --> 00:16:37,120 Speaker 1: two real key ones. One is data, digital and tech, 310 00:16:37,560 --> 00:16:40,440 Speaker 1: and the other quite different is diversity and talent development. 311 00:16:40,560 --> 00:16:43,560 Speaker 1: And I'd like to start with data. You embedded in 312 00:16:43,640 --> 00:16:47,120 Speaker 1: all areas of IPG, this sort of tech and digital 313 00:16:47,480 --> 00:16:50,480 Speaker 1: wherewithal and of course the two point three billion dollar 314 00:16:50,560 --> 00:16:54,240 Speaker 1: purchase of the data marketing service Axiom. How did all 315 00:16:54,240 --> 00:16:58,360 Speaker 1: this fundamentally change the capabilities of IPG and differentiate it. 316 00:16:58,920 --> 00:17:02,040 Speaker 1: I think when you started to see technology accelerate in 317 00:17:02,080 --> 00:17:04,760 Speaker 1: the ways in which people behave, the way in which 318 00:17:04,800 --> 00:17:06,760 Speaker 1: they take information on board, the way in which they 319 00:17:06,760 --> 00:17:09,280 Speaker 1: share information, the way in which they literally just navigate 320 00:17:09,359 --> 00:17:13,760 Speaker 1: the world. It became really clear that we needed expertise 321 00:17:13,880 --> 00:17:16,879 Speaker 1: in that. There was this funny kind of bifurcation that 322 00:17:16,920 --> 00:17:20,040 Speaker 1: happened in the sector where some of our competitors went 323 00:17:20,040 --> 00:17:22,800 Speaker 1: out and started buying that. And the question that we 324 00:17:22,920 --> 00:17:24,879 Speaker 1: kind of came do was, if you buy it and 325 00:17:24,920 --> 00:17:27,879 Speaker 1: it sits in its own silo and it's kept away 326 00:17:27,880 --> 00:17:30,000 Speaker 1: from the rest of your world, what do you really 327 00:17:30,000 --> 00:17:31,960 Speaker 1: get for it? And then on top of that, you're 328 00:17:31,960 --> 00:17:36,000 Speaker 1: paying a multiple for a very fungible set of assets. 329 00:17:36,040 --> 00:17:38,439 Speaker 1: So we tried to bootstrap as much of that as 330 00:17:38,440 --> 00:17:41,400 Speaker 1: we could inside of the various companies. So we would 331 00:17:41,400 --> 00:17:44,280 Speaker 1: sit with agency leaders and say, if these are the 332 00:17:44,320 --> 00:17:47,000 Speaker 1: trends that we think are coming, then what are you 333 00:17:47,040 --> 00:17:50,040 Speaker 1: going to do to kind of evolve your offerings so 334 00:17:50,119 --> 00:17:52,080 Speaker 1: that you can stay relevant in that world? And then 335 00:17:52,359 --> 00:17:54,240 Speaker 1: what do we need to get you in the way 336 00:17:54,280 --> 00:17:57,320 Speaker 1: of resources. We actually kind of built a lot of 337 00:17:57,359 --> 00:18:00,639 Speaker 1: it over time, which was different than most of our competitors, 338 00:18:01,080 --> 00:18:04,000 Speaker 1: and then as it's picked up speed and the complexity 339 00:18:04,040 --> 00:18:08,240 Speaker 1: has grown. We've built a programmatic business inside the company. 340 00:18:08,320 --> 00:18:11,320 Speaker 1: So you did that inside the company, how did you 341 00:18:11,400 --> 00:18:13,919 Speaker 1: work with the other side of it by hard or 342 00:18:13,920 --> 00:18:17,639 Speaker 1: other media companies folks like us. It's the combination of 343 00:18:17,680 --> 00:18:20,879 Speaker 1: the data, the tech, the platform. Understanding where that is 344 00:18:20,920 --> 00:18:24,119 Speaker 1: going is key and sorting out how you incorporate that 345 00:18:24,280 --> 00:18:27,280 Speaker 1: and marry that up to the calm side and the 346 00:18:27,280 --> 00:18:29,640 Speaker 1: craft side of the business. But then you know it's 347 00:18:29,640 --> 00:18:32,960 Speaker 1: all clearly going to come together, and so finding partners 348 00:18:33,000 --> 00:18:36,840 Speaker 1: who are also looking to take they're part of the 349 00:18:36,880 --> 00:18:40,480 Speaker 1: ecosystem and evolve it or enhance it. Trying to be 350 00:18:40,520 --> 00:18:42,840 Speaker 1: clear with people about what you're trying to accomplish and 351 00:18:42,920 --> 00:18:45,960 Speaker 1: hearing what they've got to say, and then just trying 352 00:18:45,960 --> 00:18:48,639 Speaker 1: stuff out. There's a lot of test to learn, a 353 00:18:48,640 --> 00:18:51,640 Speaker 1: lot of not get it right or being smart about 354 00:18:51,640 --> 00:18:55,040 Speaker 1: where the opportunities right for a particular client or for 355 00:18:55,080 --> 00:18:56,800 Speaker 1: one of our agencies where they're going to be able 356 00:18:56,840 --> 00:18:59,119 Speaker 1: to lean in and partner up with a media owner 357 00:18:59,240 --> 00:19:02,680 Speaker 1: or a technology company. You had one big giant there, 358 00:19:03,080 --> 00:19:05,520 Speaker 1: the axiom why did you need it and how has 359 00:19:05,560 --> 00:19:09,600 Speaker 1: it helped you? You kind of need it because without 360 00:19:09,680 --> 00:19:15,199 Speaker 1: expertise and breadth in whether it's the data asset or 361 00:19:15,240 --> 00:19:18,480 Speaker 1: whether it's the data management business. I just think it's 362 00:19:18,520 --> 00:19:22,960 Speaker 1: harder to figure out how you evolve fast enough or 363 00:19:23,000 --> 00:19:25,880 Speaker 1: compete in the world we're in. We used to talk 364 00:19:25,880 --> 00:19:29,920 Speaker 1: about the demographics of an individual or the media behavior 365 00:19:29,920 --> 00:19:32,080 Speaker 1: of the individual, but I think at this point all 366 00:19:32,520 --> 00:19:35,240 Speaker 1: behavior is going to be mediated by some kind of 367 00:19:35,240 --> 00:19:38,959 Speaker 1: a device. It's gonna mean that everything about people's lives 368 00:19:39,000 --> 00:19:42,400 Speaker 1: is addressable. The upside of that is, okay, I can 369 00:19:42,480 --> 00:19:44,480 Speaker 1: make it so that things are more relevant for them, 370 00:19:44,520 --> 00:19:47,840 Speaker 1: so that things are more valuable to them. The downside, 371 00:19:47,880 --> 00:19:50,199 Speaker 1: which we see and hear a lot about, which is 372 00:19:50,560 --> 00:19:52,920 Speaker 1: the surveillance part of it or just the creepy part 373 00:19:53,000 --> 00:19:56,200 Speaker 1: of it. And so if you're not really really expert 374 00:19:56,320 --> 00:19:59,080 Speaker 1: in and you can't take data and make it both 375 00:19:59,080 --> 00:20:03,240 Speaker 1: a differentiator and something that gives you the credibility to 376 00:20:03,760 --> 00:20:05,880 Speaker 1: put you kind of on the right side of that divide, 377 00:20:06,520 --> 00:20:08,920 Speaker 1: I don't think you've got a terrific future as a business. 378 00:20:09,359 --> 00:20:11,440 Speaker 1: So as important as dat has ben for right p G, 379 00:20:11,840 --> 00:20:14,720 Speaker 1: it might be argued that your diversity and inclusion drive 380 00:20:15,119 --> 00:20:18,280 Speaker 1: has been even more powerful. Talk about how you see 381 00:20:18,280 --> 00:20:22,120 Speaker 1: the power of diversity in an organization. You know, it's 382 00:20:22,280 --> 00:20:25,600 Speaker 1: big focus of ours, going back a long long time, 383 00:20:26,280 --> 00:20:30,520 Speaker 1: coming from an industry not ours, Michael sort of saw 384 00:20:30,600 --> 00:20:35,280 Speaker 1: that marketing advertising was behind. I'm kind of a mutton. 385 00:20:35,640 --> 00:20:42,159 Speaker 1: So if you're used to being the mishmash of perspectives, worldviews, languages, whatever, 386 00:20:42,680 --> 00:20:46,040 Speaker 1: you're gonna just bring different kinds of perspectives to any 387 00:20:46,119 --> 00:20:48,919 Speaker 1: kind of problem. For us, it is a marriage of 388 00:20:48,960 --> 00:20:51,600 Speaker 1: the tech side of the business and then the people's side, 389 00:20:51,640 --> 00:20:54,200 Speaker 1: which is the ideas and how powerful the ideas are 390 00:20:54,640 --> 00:20:57,480 Speaker 1: and the creative product. And in that regard, if everybody 391 00:20:57,520 --> 00:21:00,240 Speaker 1: is the same, which you're gonna get is clearly not 392 00:21:00,240 --> 00:21:02,119 Speaker 1: going to be as good as if you had a 393 00:21:02,240 --> 00:21:06,360 Speaker 1: culture where you're more welcoming of our very broad range 394 00:21:06,400 --> 00:21:10,520 Speaker 1: of backgrounds and experience. We still probably the only company 395 00:21:10,560 --> 00:21:14,640 Speaker 1: in our direct set that compensates exacts. Part of your 396 00:21:14,680 --> 00:21:18,480 Speaker 1: annual instead of compensation is connected to how you're doing 397 00:21:18,720 --> 00:21:21,800 Speaker 1: on what we've collectively identified as some of our d 398 00:21:21,920 --> 00:21:27,119 Speaker 1: n I aspirations and goals. So Darrellly, Eileen, Karenen, Lynn Lewis, 399 00:21:27,200 --> 00:21:31,320 Speaker 1: many others, you've got the superstar group of executives. How 400 00:21:31,320 --> 00:21:35,400 Speaker 1: do you build a culture which allows them to thrive 401 00:21:35,920 --> 00:21:39,919 Speaker 1: and builds the next generation of them. It's really obvious stuff. 402 00:21:39,960 --> 00:21:43,240 Speaker 1: It's say what you mean. Encourage people to know that 403 00:21:43,280 --> 00:21:46,240 Speaker 1: they can speak their mind, and that's not an issue. 404 00:21:46,600 --> 00:21:49,400 Speaker 1: If you say you're gonna do something, do something. We're 405 00:21:49,520 --> 00:21:52,520 Speaker 1: very flat as an organization. A lot of our exacts 406 00:21:52,520 --> 00:21:56,679 Speaker 1: appreciate that they can walk into our offices. So we 407 00:21:56,760 --> 00:21:59,840 Speaker 1: talked a little bit about silos, but silos are falling 408 00:22:00,000 --> 00:22:02,280 Speaker 1: and advertising, as there are in every business. How are 409 00:22:02,359 --> 00:22:05,480 Speaker 1: you breaking down silos to make that a reality? I 410 00:22:05,480 --> 00:22:07,840 Speaker 1: mean at humility goes along ways, right, So you kind 411 00:22:07,840 --> 00:22:10,480 Speaker 1: of say to yourself, can you both model behavior and 412 00:22:10,560 --> 00:22:14,080 Speaker 1: ask people to acknowledge. Nobody's going to have all the answers, 413 00:22:14,480 --> 00:22:16,479 Speaker 1: so just raise your hand and say, I don't know. 414 00:22:17,000 --> 00:22:19,720 Speaker 1: What we're solving for is complicated. So if it's going 415 00:22:19,760 --> 00:22:22,680 Speaker 1: to be a team sport on any given day, you're 416 00:22:22,720 --> 00:22:27,080 Speaker 1: gonna be configuring that team in a way that's different. 417 00:22:27,119 --> 00:22:31,000 Speaker 1: So for certain kinds of engagements, somebody's gonna lead, and 418 00:22:31,080 --> 00:22:34,720 Speaker 1: for others, that person or that organization is going to 419 00:22:34,760 --> 00:22:37,920 Speaker 1: sit in the second chair of the third chair. All 420 00:22:37,960 --> 00:22:40,280 Speaker 1: of us are really good at two or three things. 421 00:22:40,320 --> 00:22:42,760 Speaker 1: But everybody in this world says, oh I can do 422 00:22:42,840 --> 00:22:45,280 Speaker 1: eight things, I can do ten things. I don't want 423 00:22:45,320 --> 00:22:47,919 Speaker 1: to either leave, you know, money on the table or 424 00:22:48,000 --> 00:22:50,679 Speaker 1: be perceived of as not the best at even some 425 00:22:50,720 --> 00:22:53,639 Speaker 1: of the most cutting edge stuff. And so, what are 426 00:22:53,680 --> 00:22:55,520 Speaker 1: the three things you guys are really good at? And 427 00:22:55,520 --> 00:22:57,160 Speaker 1: those are the ones that we're going to then make 428 00:22:57,160 --> 00:23:00,359 Speaker 1: sure that you, as an organization, get pulled in on 429 00:23:00,400 --> 00:23:04,600 Speaker 1: every opportunity to bring those to the table human beings 430 00:23:04,680 --> 00:23:08,200 Speaker 1: or human beings. So if you encourage them and acknowledge 431 00:23:08,240 --> 00:23:11,000 Speaker 1: their contributions around the things that really are good at, 432 00:23:11,160 --> 00:23:13,680 Speaker 1: that helps a long ways. How you pay people helps 433 00:23:13,800 --> 00:23:15,359 Speaker 1: in the same way that around D and I, we 434 00:23:15,600 --> 00:23:18,760 Speaker 1: tie instead of compensation to that, we tie a meaningful 435 00:23:18,800 --> 00:23:21,919 Speaker 1: amount of incent of compensation too what we refer to 436 00:23:22,000 --> 00:23:26,720 Speaker 1: as collaboration. And it gets people's attention when you're thoughtful 437 00:23:26,880 --> 00:23:29,280 Speaker 1: and rigorous about the end of the year, saying, hey, 438 00:23:29,320 --> 00:23:32,480 Speaker 1: here's how you guys did on these things, and we'll 439 00:23:32,520 --> 00:23:34,320 Speaker 1: sit with you and take you through where we thought 440 00:23:34,400 --> 00:23:36,639 Speaker 1: you were terrific and where maybe you didn't play so 441 00:23:36,720 --> 00:23:40,160 Speaker 1: nicely with the other children, and maybe even where that 442 00:23:40,359 --> 00:23:42,680 Speaker 1: is going to cost you in your organization some money. 443 00:23:43,160 --> 00:23:46,359 Speaker 1: What advice would you give someone who wants to wind 444 00:23:46,400 --> 00:23:49,240 Speaker 1: up in the advertising business where you are somebody on 445 00:23:49,280 --> 00:23:51,960 Speaker 1: the way up. I don't know that I set out 446 00:23:52,000 --> 00:23:54,600 Speaker 1: with a very specific plan. It wasn't I'm going to 447 00:23:54,720 --> 00:23:57,760 Speaker 1: get from here to there. It was I'm gonna do 448 00:23:58,600 --> 00:24:02,200 Speaker 1: things that are interesting, saw problems. If some things are 449 00:24:02,240 --> 00:24:04,160 Speaker 1: more interesting than others, I'm gonna ask to do more 450 00:24:04,200 --> 00:24:07,040 Speaker 1: of those kinds of things. Getting things done and not 451 00:24:07,560 --> 00:24:10,520 Speaker 1: sweating too much what you're being called on a given day, 452 00:24:10,560 --> 00:24:13,480 Speaker 1: whether it's from a title perspective or sharing the credit 453 00:24:13,560 --> 00:24:15,639 Speaker 1: or not, I think helps a lot. The one that 454 00:24:15,680 --> 00:24:19,440 Speaker 1: I think becomes more apparent as you get further along 455 00:24:19,480 --> 00:24:23,160 Speaker 1: in your career is working with people who you respect 456 00:24:23,359 --> 00:24:27,439 Speaker 1: in an organization where there's commitment to behaving in a 457 00:24:27,440 --> 00:24:30,760 Speaker 1: certain way and integrity, and where you're like, I feel 458 00:24:30,760 --> 00:24:33,239 Speaker 1: good about who I'm working with. That's a lot more 459 00:24:33,320 --> 00:24:36,400 Speaker 1: powerful than people usually realize. So let's take the advice 460 00:24:36,520 --> 00:24:39,119 Speaker 1: to IPG. You've got a lot of people working there, 461 00:24:39,119 --> 00:24:43,280 Speaker 1: thousands and thousands and thousands. Someone they're listening to this 462 00:24:43,960 --> 00:24:46,760 Speaker 1: wants to make their mark on advertising within the career 463 00:24:46,760 --> 00:24:49,680 Speaker 1: at IPG. What advice. Do you give them, raise your hand, 464 00:24:50,000 --> 00:24:53,800 Speaker 1: ask questions, get help when you need it. Figure out 465 00:24:53,840 --> 00:24:57,359 Speaker 1: who can make you better, as in, teach you some 466 00:24:57,400 --> 00:24:59,639 Speaker 1: stuff you don't know. Some of them with a little 467 00:24:59,640 --> 00:25:04,080 Speaker 1: more burience will help you look around a corner. Understanding 468 00:25:04,320 --> 00:25:07,919 Speaker 1: where and how tech is impacting business. You would definitely 469 00:25:07,960 --> 00:25:10,600 Speaker 1: want to focus on that. It helps to understand where 470 00:25:10,640 --> 00:25:13,359 Speaker 1: and how any business actually makes money. I mean, I 471 00:25:13,359 --> 00:25:16,320 Speaker 1: think a lot of people, whether you're running a client 472 00:25:16,359 --> 00:25:19,199 Speaker 1: engagement or whether you're a creative person, do you get 473 00:25:19,240 --> 00:25:21,840 Speaker 1: deep enough into how the gears connect to the gears 474 00:25:21,880 --> 00:25:25,480 Speaker 1: around what's really driving the business. So here's our last 475 00:25:25,520 --> 00:25:28,280 Speaker 1: advice question. What advice would you give your twenty one 476 00:25:28,320 --> 00:25:32,040 Speaker 1: year old self. The best advice I got when I 477 00:25:32,119 --> 00:25:35,160 Speaker 1: was in my twenties was to sort of stop trying 478 00:25:35,200 --> 00:25:36,800 Speaker 1: to kind of boil the ocean and get it all 479 00:25:36,840 --> 00:25:39,800 Speaker 1: done in one go, and to focus on two or 480 00:25:39,840 --> 00:25:43,200 Speaker 1: three big things that you would do in a given 481 00:25:43,520 --> 00:25:46,560 Speaker 1: twelve month period. And the other great advice I got, 482 00:25:46,680 --> 00:25:49,159 Speaker 1: probably in my early thirties is to try and carve 483 00:25:49,160 --> 00:25:53,399 Speaker 1: out time to step away for long enough to reflect, 484 00:25:53,440 --> 00:25:56,200 Speaker 1: to actually think and figure out some of the bigger 485 00:25:56,240 --> 00:25:59,280 Speaker 1: cross currents as we wrap up, we always end the 486 00:25:59,320 --> 00:26:02,520 Speaker 1: Math and Match with a shout out. You've seen the 487 00:26:02,600 --> 00:26:05,800 Speaker 1: great analytical people, You've seen the great creatives up close. 488 00:26:06,440 --> 00:26:08,920 Speaker 1: You're a history buff. You've read about him. Who gets 489 00:26:08,960 --> 00:26:12,320 Speaker 1: your shout out as the most analytical marketer or business person? 490 00:26:12,400 --> 00:26:16,440 Speaker 1: The math person, Alan Turing. I mean, that's a pretty 491 00:26:16,480 --> 00:26:18,400 Speaker 1: darn good one. It's the first time someone said that. 492 00:26:18,680 --> 00:26:21,760 Speaker 1: So let's go to the creative side. Who's the greatest 493 00:26:21,840 --> 00:26:24,719 Speaker 1: creative the magician. I guess you'd probably go, you know, 494 00:26:24,800 --> 00:26:28,800 Speaker 1: Steve Jobs. He's been mentioned before. Philip. It's been great 495 00:26:28,800 --> 00:26:31,240 Speaker 1: having you here. Congrats on all your success and thanks 496 00:26:31,240 --> 00:26:33,840 Speaker 1: for sharing the stories behind it more pleasure. Thanks for 497 00:26:33,840 --> 00:26:44,399 Speaker 1: having me, Thanks for listening. I'm Bob Pittman. That's it 498 00:26:44,480 --> 00:26:47,080 Speaker 1: for today's episode. Thanks so much for listening to Math 499 00:26:47,160 --> 00:26:49,920 Speaker 1: and Magic, a production of I Heart Radio. This show 500 00:26:49,960 --> 00:26:53,120 Speaker 1: is hosted by Bob Pittman. Special thanks to Sue Schillinger 501 00:26:53,200 --> 00:26:55,600 Speaker 1: for booking and wrangling our wonderful talent, which is no 502 00:26:55,800 --> 00:26:59,439 Speaker 1: small feat. Nikki Eatre for pulling research, Bill Plax and 503 00:26:59,480 --> 00:27:02,800 Speaker 1: Michael as Are for their recording help, our editor Ryan Murdoch, 504 00:27:02,880 --> 00:27:06,480 Speaker 1: and of course Gaile Raoul, Eric Angel, Noel Mango, and 505 00:27:06,560 --> 00:27:09,560 Speaker 1: everyone who helped bring this show to your ears. Until 506 00:27:09,640 --> 00:27:10,080 Speaker 1: next time,