1 00:00:01,639 --> 00:00:04,360 Speaker 1: You're listening to Math and Magic, a production of I 2 00:00:04,519 --> 00:00:10,719 Speaker 1: Heart Radio. I'm Bob Tipman. Welcome back to Math and Magic. 3 00:00:10,800 --> 00:00:18,520 Speaker 1: Stories from the frontiers and marketing. In today's bonus episode, 4 00:00:18,640 --> 00:00:20,439 Speaker 1: we're gonna look back at just a few of the 5 00:00:20,480 --> 00:00:23,599 Speaker 1: stories that have struck me about the power of audio 6 00:00:23,960 --> 00:00:27,520 Speaker 1: podcasts on fire now reaching more people today than even 7 00:00:27,640 --> 00:00:30,880 Speaker 1: the biggest streaming music services, and at the heart of 8 00:00:30,920 --> 00:00:34,720 Speaker 1: podcasts or stories. On the Math and Magic episode with 9 00:00:34,800 --> 00:00:37,840 Speaker 1: my old friend Walter Isaacson, we got into some discussions 10 00:00:37,880 --> 00:00:42,960 Speaker 1: about storytelling and podcasting. Give a listen. Welcome personally the 11 00:00:43,000 --> 00:00:45,760 Speaker 1: guy I told you about the novelists too, a sort 12 00:00:45,760 --> 00:00:49,000 Speaker 1: of mentor. I never quite knew what he did. We 13 00:00:49,600 --> 00:00:52,560 Speaker 1: would go over across like Conto Train to the buga 14 00:00:52,560 --> 00:00:55,040 Speaker 1: Fly where he and his daughter who is my age 15 00:00:55,520 --> 00:00:58,800 Speaker 1: all lived, and we'd go hunting or water skiing or 16 00:00:59,120 --> 00:01:01,840 Speaker 1: searching for total us. We always just say, Anne, what 17 00:01:01,920 --> 00:01:05,120 Speaker 1: does your daddy do? He's always on the doc drinking bourbon, 18 00:01:05,440 --> 00:01:08,520 Speaker 1: eating hogside cheese. She would say, well, he's a writer. 19 00:01:09,400 --> 00:01:11,680 Speaker 1: I couldn't figure out what to that man. I knew 20 00:01:11,680 --> 00:01:13,440 Speaker 1: you could be an engineer like my dad, or a 21 00:01:13,480 --> 00:01:16,399 Speaker 1: doctor or a Fisherman, but writer. When I guess I 22 00:01:16,400 --> 00:01:18,640 Speaker 1: was about twelve, I read the movie Goer It just 23 00:01:18,760 --> 00:01:21,560 Speaker 1: come out. I realized what that meant. So I asked 24 00:01:21,720 --> 00:01:24,399 Speaker 1: Uncle Walker walco person, tell me, because you're trying to 25 00:01:24,440 --> 00:01:27,280 Speaker 1: teach lessons, you're preaching some things in this book. Tell 26 00:01:27,319 --> 00:01:29,800 Speaker 1: me what it's about. And he said that two types 27 00:01:29,800 --> 00:01:34,360 Speaker 1: of people come out of Louisiana. Preachers and storytellers. He said, 28 00:01:34,360 --> 00:01:36,319 Speaker 1: if I haven't said, be a storytelling, the world's got 29 00:01:36,360 --> 00:01:38,480 Speaker 1: far too many preachers. And so why do you think 30 00:01:38,520 --> 00:01:41,800 Speaker 1: the South has so many storytellers versus other parts of 31 00:01:41,800 --> 00:01:44,720 Speaker 1: the country. Maybe it's the Bourbon, Maybe it's the fact 32 00:01:44,720 --> 00:01:47,760 Speaker 1: that we lost into the loss of Civil War. Maybe 33 00:01:48,080 --> 00:01:53,960 Speaker 1: people sit on porches a lot. Alex Haley, who wrote Roots, 34 00:01:53,960 --> 00:01:56,200 Speaker 1: somebody once asked him said he was trying to give 35 00:01:56,240 --> 00:01:58,520 Speaker 1: a speech or something and he was scared. You didn't 36 00:01:58,520 --> 00:02:02,160 Speaker 1: know how to begin, And Haley said, here's the six 37 00:02:02,240 --> 00:02:05,360 Speaker 1: words you have to know. Let me tell your story. Well, 38 00:02:05,360 --> 00:02:07,400 Speaker 1: you know, it's funny. When I was growing up, I 39 00:02:07,440 --> 00:02:09,480 Speaker 1: had uncles who would tell stories, and if you ask 40 00:02:09,520 --> 00:02:11,200 Speaker 1: them a question, you get a long story. And the 41 00:02:11,240 --> 00:02:13,400 Speaker 1: moral of the story was the answer to your question, 42 00:02:14,000 --> 00:02:16,760 Speaker 1: do you think in this new digitally connected world that 43 00:02:16,840 --> 00:02:20,919 Speaker 1: goes on or is this storytelling a lost art? Now, 44 00:02:20,960 --> 00:02:23,320 Speaker 1: this is why podcast is so important, why there's such 45 00:02:23,360 --> 00:02:26,120 Speaker 1: a popular medium, and why they are a crucial medium 46 00:02:26,120 --> 00:02:29,000 Speaker 1: for us to have now because of the past twenty 47 00:02:29,120 --> 00:02:33,160 Speaker 1: five thirty years in the digital age, we've lost the 48 00:02:33,240 --> 00:02:36,960 Speaker 1: art of narrative. Paper is a good technology for narrative. 49 00:02:37,040 --> 00:02:40,480 Speaker 1: You go page, have to page, you can't hop around. Likewise, 50 00:02:40,840 --> 00:02:46,200 Speaker 1: linear television, linear movies, they're great for narrative. But digital 51 00:02:46,480 --> 00:02:50,240 Speaker 1: media tends to be great for hopping around, making links, 52 00:02:50,400 --> 00:02:54,560 Speaker 1: jumping to gather more information, following and charting your own course. 53 00:02:54,800 --> 00:02:59,519 Speaker 1: It's interactive, which means you're not consuming a narrative. Now, 54 00:02:59,560 --> 00:03:03,200 Speaker 1: that's fine. I love interactive media. I love being able 55 00:03:03,240 --> 00:03:05,720 Speaker 1: to hunt and peck and figure out you know who 56 00:03:05,760 --> 00:03:07,880 Speaker 1: the Saints are going to be playing, and hear all 57 00:03:07,880 --> 00:03:10,480 Speaker 1: the opinions about it. But every now and then we 58 00:03:10,520 --> 00:03:13,839 Speaker 1: need to get back to narrative and destroytelling. I think 59 00:03:13,880 --> 00:03:17,280 Speaker 1: it started from me listening to this American Life was 60 00:03:17,360 --> 00:03:20,520 Speaker 1: doing a podcast a long time ago, and I said, wow, 61 00:03:20,639 --> 00:03:23,160 Speaker 1: they're gonna save the art of storytelling. Well, you know 62 00:03:23,200 --> 00:03:28,080 Speaker 1: what's interesting, young people, teenagers, young adults are flocking to it, 63 00:03:28,120 --> 00:03:31,120 Speaker 1: whereas people thought, oh, talk shows, that's for old people, 64 00:03:31,560 --> 00:03:34,960 Speaker 1: And I think it's just turned everybody's understanding upside down. 65 00:03:35,240 --> 00:03:37,400 Speaker 1: It has sort of the best of both worlds, meaning 66 00:03:37,440 --> 00:03:40,320 Speaker 1: you get it on demand, you don't have to tune 67 00:03:40,320 --> 00:03:44,520 Speaker 1: in at nine pm. On the other hand, it's a narrative. 68 00:03:44,760 --> 00:03:48,200 Speaker 1: You have to go with the flow. Here at I Heart, 69 00:03:48,240 --> 00:03:50,880 Speaker 1: we're doing a lot with audio stories. It starts with 70 00:03:50,920 --> 00:03:53,640 Speaker 1: the biggest radio stations we have across the country and 71 00:03:53,720 --> 00:03:57,040 Speaker 1: extends to podcast pushing the medium and the boundaries of 72 00:03:57,120 --> 00:04:00,240 Speaker 1: storytelling what things like Ron Burgundy and show is like 73 00:04:00,320 --> 00:04:03,320 Speaker 1: dis Graceland and Noble Blood and you're listening to this 74 00:04:03,480 --> 00:04:06,480 Speaker 1: as a podcast along those same lines. One of the 75 00:04:06,520 --> 00:04:09,640 Speaker 1: most inspiring conversations I've had on this program was my 76 00:04:09,680 --> 00:04:13,040 Speaker 1: friend Steve Stout, the CEO of Translation, and how he 77 00:04:13,120 --> 00:04:18,880 Speaker 1: decided to use radio in a novel way. When Interscope launched, 78 00:04:19,160 --> 00:04:22,479 Speaker 1: they wouldn't play dr Drames Dugan radio, they would not 79 00:04:22,520 --> 00:04:26,960 Speaker 1: play So what Jimmy did was Steve Berman. They went 80 00:04:27,040 --> 00:04:32,480 Speaker 1: and bought the last commercial spot in a pod and 81 00:04:32,520 --> 00:04:35,880 Speaker 1: did not say anything but played sixty seconds of the 82 00:04:35,920 --> 00:04:39,760 Speaker 1: song nothing but a g Thing Baby. People thought that 83 00:04:39,880 --> 00:04:41,719 Speaker 1: was the song. They didn't know it was a commercial, 84 00:04:42,680 --> 00:04:45,279 Speaker 1: and that's how the song took off. I went to 85 00:04:45,320 --> 00:04:49,160 Speaker 1: Bill Wrigley Jr. And pitched him an idea. We were 86 00:04:49,160 --> 00:04:52,799 Speaker 1: gonna remake the double Mint jingle. I made the song 87 00:04:52,880 --> 00:04:57,200 Speaker 1: call Forever Chris Brown Forever. We rewrote the Doublement jingle 88 00:04:57,320 --> 00:05:00,760 Speaker 1: using that same Forever melody, and he says, W pleasure, 89 00:05:00,920 --> 00:05:03,359 Speaker 1: W fund in the sun. And then I did the 90 00:05:03,360 --> 00:05:06,599 Speaker 1: exact same thing. I brought sixty seconds let it play 91 00:05:06,720 --> 00:05:10,039 Speaker 1: like it was forever. So when the song played, it 92 00:05:10,160 --> 00:05:13,120 Speaker 1: all sounded like forever, and then it changed into the 93 00:05:13,160 --> 00:05:17,360 Speaker 1: Doublement jingle. The song went number one, the songe number one, 94 00:05:17,680 --> 00:05:21,320 Speaker 1: and it was a jingle that double Men owned. Thinking 95 00:05:21,320 --> 00:05:26,360 Speaker 1: about radio and being colorful and artful with it and 96 00:05:26,400 --> 00:05:28,760 Speaker 1: figuring out how to tie the music in with the 97 00:05:28,800 --> 00:05:33,440 Speaker 1: advertising in a way that it feels entertaining but yet informative, 98 00:05:33,480 --> 00:05:35,920 Speaker 1: so you stay engaged. If it doesn't pull you in, 99 00:05:36,279 --> 00:05:38,520 Speaker 1: you don't care about it. I love the way Steve 100 00:05:38,600 --> 00:05:42,159 Speaker 1: thinks about breaking down silos and creating campaigns to push 101 00:05:42,240 --> 00:05:45,600 Speaker 1: the limits of creativity. On that topic, it's interesting to 102 00:05:45,640 --> 00:05:48,839 Speaker 1: think about how marketers use sound and how someone like 103 00:05:48,880 --> 00:05:52,600 Speaker 1: Olivier Francois, the head of marketing for Fiat Chrysler, creates 104 00:05:52,600 --> 00:05:55,520 Speaker 1: a mood board for each of his brands, evoking the 105 00:05:55,640 --> 00:05:59,840 Speaker 1: essence of the brand through sound. To the credit to Fredio, 106 00:05:59,880 --> 00:06:02,040 Speaker 1: that so much you can do that you can't do 107 00:06:02,160 --> 00:06:04,640 Speaker 1: with TV or print. Not only do you have a 108 00:06:04,680 --> 00:06:07,599 Speaker 1: persona for every brand, but you have a sound. You 109 00:06:07,640 --> 00:06:10,400 Speaker 1: have the music for every brand. Totally have a music 110 00:06:10,520 --> 00:06:13,920 Speaker 1: for every brand. I mean the soundtrack of the brand 111 00:06:14,279 --> 00:06:17,800 Speaker 1: is what I call my playlist. So to a marketer, 112 00:06:18,640 --> 00:06:22,720 Speaker 1: music and radio are the most amazing tool you can 113 00:06:22,800 --> 00:06:26,279 Speaker 1: dream of. First because it helps you carving your special 114 00:06:26,279 --> 00:06:30,120 Speaker 1: place in the culture. Second because it gets you the 115 00:06:30,200 --> 00:06:33,000 Speaker 1: perfect connection with your target. And now I'm thinking of 116 00:06:33,200 --> 00:06:37,080 Speaker 1: radio as much as I'm thinking of music. Exactly what 117 00:06:37,160 --> 00:06:40,279 Speaker 1: I'm buying when I have a radio media buy, I 118 00:06:40,400 --> 00:06:44,680 Speaker 1: buy an incredibly personal connection to the target. You got 119 00:06:44,680 --> 00:06:46,919 Speaker 1: a friend, I mean, that's what are people on the 120 00:06:46,960 --> 00:06:51,279 Speaker 1: area brand talking to them? And Third, and that's maybe 121 00:06:51,279 --> 00:06:54,840 Speaker 1: more for the music. It helps you amplify the brand personality. 122 00:06:55,000 --> 00:06:59,840 Speaker 1: If you select the right genre in a very consistent manner, 123 00:07:00,200 --> 00:07:02,360 Speaker 1: it will help you identify a brand in a commercial 124 00:07:02,600 --> 00:07:06,560 Speaker 1: that's kind of a subconscious connection with the consumer that 125 00:07:06,720 --> 00:07:08,880 Speaker 1: I hear the music, I can tell you which car 126 00:07:08,880 --> 00:07:12,480 Speaker 1: you're talking about. Sound is about authenticity. The sound will 127 00:07:12,520 --> 00:07:15,840 Speaker 1: make it sound deep or Dodge or ram or Crosser 128 00:07:16,240 --> 00:07:19,320 Speaker 1: or none of them. My ideal sound for Jeep is 129 00:07:19,560 --> 00:07:23,880 Speaker 1: queen meat. Imagine dragons in something very nthemic. That's a 130 00:07:23,960 --> 00:07:27,880 Speaker 1: Jeep sound I'm dreaming of. Obviously, country music is home 131 00:07:27,960 --> 00:07:30,960 Speaker 1: of ram, and hard rock is home of Dodge and 132 00:07:31,040 --> 00:07:33,640 Speaker 1: so on. If you want to be relatable, you need 133 00:07:33,720 --> 00:07:38,160 Speaker 1: to sink of your audience and who they relate to it. 134 00:07:38,160 --> 00:07:40,760 Speaker 1: It's an interesting challenge trying to think about a brand 135 00:07:40,760 --> 00:07:43,440 Speaker 1: and audio first and trying to figure out exactly what 136 00:07:43,520 --> 00:07:46,960 Speaker 1: your brand sounds like and what imagery does that sound evoke. 137 00:07:48,040 --> 00:07:50,080 Speaker 1: It was fun to hear Julie Reager talk about the 138 00:07:50,120 --> 00:07:53,680 Speaker 1: surprising impact a radio stunt had on her business. But 139 00:07:53,760 --> 00:07:55,679 Speaker 1: before we get into that, let's take a quick break. 140 00:07:58,640 --> 00:08:01,080 Speaker 1: Welcome back to Math and Matt. What we're talking about 141 00:08:01,080 --> 00:08:05,160 Speaker 1: the power of audio. Here's a great story about how 142 00:08:05,240 --> 00:08:09,480 Speaker 1: Julie Reager, the former president and chief data strategist at Fox, 143 00:08:09,920 --> 00:08:14,080 Speaker 1: used data to understand the impact of radio advertising. We 144 00:08:14,120 --> 00:08:16,520 Speaker 1: had this little movie called Bohemian Rhapsody. You may have 145 00:08:16,560 --> 00:08:21,320 Speaker 1: heard of it, a tiny movie called Bohemian Rhapsody. And 146 00:08:21,360 --> 00:08:24,440 Speaker 1: what we did we had your data anonymized. We matched 147 00:08:24,640 --> 00:08:28,920 Speaker 1: folks that had downloaded your app and used your app 148 00:08:29,600 --> 00:08:32,080 Speaker 1: to our movie goers. And the reason why we were 149 00:08:32,120 --> 00:08:36,400 Speaker 1: comfortable with looking at your app dating is because roughly 150 00:08:36,520 --> 00:08:39,600 Speaker 1: nine that those that have download and used the app 151 00:08:39,640 --> 00:08:43,080 Speaker 1: also listened to Terrestrial. So once we matched it in 152 00:08:43,240 --> 00:08:46,240 Speaker 1: my pool, I had people that were movie goers, that 153 00:08:46,240 --> 00:08:48,720 Speaker 1: had people that were movie goers and also I Heart customers. 154 00:08:49,280 --> 00:08:52,960 Speaker 1: Then we created a campaign around Boheman Rhapsody with you 155 00:08:53,000 --> 00:08:55,080 Speaker 1: guys in the film have a feeling, I'm not going 156 00:08:55,120 --> 00:08:58,000 Speaker 1: to ruin anything here for any of your listeners and 157 00:08:58,040 --> 00:09:00,640 Speaker 1: no spoiler alert. There was a time when the record 158 00:09:00,640 --> 00:09:03,640 Speaker 1: producer who's played by Michael Myers, said, nobody's going to 159 00:09:03,720 --> 00:09:06,080 Speaker 1: play a song on the radio that six minutes long. 160 00:09:06,160 --> 00:09:09,880 Speaker 1: Six minutes is too long. You guys came back to us. 161 00:09:10,000 --> 00:09:12,880 Speaker 1: It was just it was like magic and said we're 162 00:09:12,920 --> 00:09:18,600 Speaker 1: going to roadblock six minutes across our entire network. And 163 00:09:18,720 --> 00:09:21,520 Speaker 1: once I pulled myself up off the floor and was 164 00:09:21,559 --> 00:09:24,560 Speaker 1: able to utter a word, the word was genius, and 165 00:09:24,600 --> 00:09:28,080 Speaker 1: we did it right before the movie launched. So what 166 00:09:28,160 --> 00:09:30,880 Speaker 1: happened is the movie did all right. And then after 167 00:09:30,960 --> 00:09:34,720 Speaker 1: about a month, when I got four weeks of data back, 168 00:09:35,120 --> 00:09:37,520 Speaker 1: I was able to look and see who actually bought 169 00:09:37,520 --> 00:09:41,240 Speaker 1: tickets to our movie. And I already had my movie 170 00:09:41,240 --> 00:09:43,640 Speaker 1: goer database, and then I had the database within the 171 00:09:43,720 --> 00:09:46,960 Speaker 1: database that was movies and I heart And what was 172 00:09:47,040 --> 00:09:51,720 Speaker 1: interesting is that your customers were buying tickets twelve percent, 173 00:09:51,800 --> 00:09:54,320 Speaker 1: at a higher rate than those that were just ongoing 174 00:09:54,360 --> 00:09:59,959 Speaker 1: movie goers. Is that good twelve percent? Because I promise 175 00:10:00,000 --> 00:10:01,760 Speaker 1: to early on, I wasn't going to use the F words, 176 00:10:01,800 --> 00:10:07,440 Speaker 1: so I'll say fantastic. It was fan freaking pastic. What 177 00:10:07,600 --> 00:10:12,440 Speaker 1: everyone in this business is dying for is attribution, dying 178 00:10:12,520 --> 00:10:15,520 Speaker 1: because they just don't know if it's good money or 179 00:10:15,600 --> 00:10:18,680 Speaker 1: bad money that they're spending. And I also went in 180 00:10:19,040 --> 00:10:22,040 Speaker 1: to see if are we just getting a music fan. 181 00:10:22,520 --> 00:10:25,320 Speaker 1: I just wanted to be able to answer my own 182 00:10:25,360 --> 00:10:27,680 Speaker 1: questions in my head. Was just like a fluke thing. 183 00:10:28,000 --> 00:10:29,520 Speaker 1: And then I went back in and I looked at 184 00:10:29,559 --> 00:10:31,120 Speaker 1: other movies that we've done with you all in the 185 00:10:31,240 --> 00:10:35,080 Speaker 1: last four years, and I found the same pattern. Now 186 00:10:35,200 --> 00:10:37,160 Speaker 1: Bow rep was a tick hire, which I think is 187 00:10:37,160 --> 00:10:40,800 Speaker 1: where the music might play in did and the stunt 188 00:10:40,960 --> 00:10:44,679 Speaker 1: was brilliant. That sub segment always came in higher than 189 00:10:44,720 --> 00:10:47,400 Speaker 1: the general movie go or segment. So I was really 190 00:10:47,440 --> 00:10:51,880 Speaker 1: confident in what we had done. Everybody does attribution. It's 191 00:10:51,880 --> 00:10:53,880 Speaker 1: all about digital, like I'm going to run a banner, 192 00:10:53,920 --> 00:10:56,560 Speaker 1: I'm going to do a video on YouTube or whatever. 193 00:10:56,760 --> 00:11:00,280 Speaker 1: My first attribution project was with you doing it with 194 00:11:00,400 --> 00:11:03,400 Speaker 1: radio is and likely character. Look, we were so excited 195 00:11:03,400 --> 00:11:06,440 Speaker 1: about it. One for getting someone with your kind of 196 00:11:06,440 --> 00:11:08,720 Speaker 1: skill set to believe innocent take that leap. I have 197 00:11:08,800 --> 00:11:12,320 Speaker 1: to congratulate you on doing the roadblock. Someone in the 198 00:11:12,360 --> 00:11:15,760 Speaker 1: Los Angeles market that works here took a video of 199 00:11:16,120 --> 00:11:19,200 Speaker 1: them punching between all of our radio stations in l A. 200 00:11:19,600 --> 00:11:22,520 Speaker 1: And you're hitting the same song by different artists, all 201 00:11:22,600 --> 00:11:25,719 Speaker 1: playing their version of Bohebian Rapsy. You couldn't get away 202 00:11:25,760 --> 00:11:28,400 Speaker 1: from it was pretty amazing. Is amazing, right, I mean 203 00:11:28,640 --> 00:11:31,199 Speaker 1: all the artists with the covers. That was so amazing 204 00:11:31,280 --> 00:11:34,520 Speaker 1: is that that became into a phenomenon. And let's not 205 00:11:34,640 --> 00:11:39,000 Speaker 1: forget what happened on the charts with the album, right, 206 00:11:39,200 --> 00:11:42,040 Speaker 1: So many amazing things that happened. Now. Listen, the movie 207 00:11:42,080 --> 00:11:45,240 Speaker 1: is amazing. Was the only thing that contributed to this success? 208 00:11:45,280 --> 00:11:48,319 Speaker 1: The campaign? We didn't know because the movie was incredible. 209 00:11:48,400 --> 00:11:50,880 Speaker 1: We had other great creative but was it a twelve 210 00:11:50,920 --> 00:11:53,440 Speaker 1: percent nudge? Heck yeah it was. And I can tell 211 00:11:53,480 --> 00:11:57,080 Speaker 1: you from my data science team. They come into me 212 00:11:57,880 --> 00:12:01,320 Speaker 1: very objective, like these are guys, and all my data 213 00:12:01,360 --> 00:12:05,199 Speaker 1: scientists are guys. I bet their sock yours are incredibly organized. 214 00:12:05,679 --> 00:12:08,920 Speaker 1: They come into me and they are clean slate every time, 215 00:12:08,920 --> 00:12:12,160 Speaker 1: and they are factual. They come into me to say 216 00:12:12,280 --> 00:12:14,720 Speaker 1: with a straight phase, Well, Julie, here's what we found. 217 00:12:16,400 --> 00:12:19,280 Speaker 1: You've got to be kidding me. And my wildest dreams 218 00:12:19,400 --> 00:12:24,319 Speaker 1: it would be five. It was twelve. Julie Reager is 219 00:12:24,400 --> 00:12:29,160 Speaker 1: such a great storyteller, but she also sees ghosts. I'm serious. 220 00:12:29,200 --> 00:12:31,360 Speaker 1: She's written the great book about it, and you should 221 00:12:31,440 --> 00:12:36,000 Speaker 1: check out her new podcast, Insider's Guide to the Other Side. Now, 222 00:12:36,120 --> 00:12:38,680 Speaker 1: one of the things I think about a lot is 223 00:12:38,720 --> 00:12:42,520 Speaker 1: that radio is meaningful because it's a companion. Elvis, Duran, 224 00:12:42,760 --> 00:12:47,400 Speaker 1: Martha Quinn, Charlemagne, the God, Ryan Seacrest, Woody. You trust 225 00:12:47,440 --> 00:12:50,760 Speaker 1: them because they're your friends. They keep you company. But 226 00:12:50,800 --> 00:12:53,960 Speaker 1: one of the things that Daniel Glass, CEO and founder 227 00:12:54,000 --> 00:12:57,080 Speaker 1: of the indie label Glass Note Records, points out is 228 00:12:57,120 --> 00:13:01,320 Speaker 1: that radio is also a great connector let's jump to 229 00:13:01,320 --> 00:13:04,079 Speaker 1: a topic near and dear to my heart, yours too. 230 00:13:04,280 --> 00:13:07,480 Speaker 1: Radio It's been at the heart of what you do, 231 00:13:07,600 --> 00:13:09,559 Speaker 1: what I do. It's certainly at the heart of music 232 00:13:09,600 --> 00:13:12,839 Speaker 1: marketing and always has been, still is today. Eighty percent 233 00:13:12,920 --> 00:13:16,560 Speaker 1: of consumers and even of Spotify users say the main 234 00:13:16,600 --> 00:13:20,200 Speaker 1: way they discover new music is FM radio. In the 235 00:13:20,280 --> 00:13:22,959 Speaker 1: days of the LPs, consumers heard a song on the radio, 236 00:13:23,240 --> 00:13:25,400 Speaker 1: heard the DJ talk about it, and when I bought it. 237 00:13:25,760 --> 00:13:29,120 Speaker 1: Today they hear it, they stream it. Things really haven't 238 00:13:29,200 --> 00:13:32,400 Speaker 1: changed that much. What is radio and why is it 239 00:13:32,520 --> 00:13:35,000 Speaker 1: so central to all types of music marketing? How do 240 00:13:35,080 --> 00:13:38,079 Speaker 1: you use it? It's such a personal medium. I look 241 00:13:38,120 --> 00:13:40,960 Speaker 1: at radio as being a friend, as being your warm 242 00:13:41,080 --> 00:13:43,680 Speaker 1: hug that you get. It is something that greets you 243 00:13:43,720 --> 00:13:46,080 Speaker 1: in the morning my alarm clock, not because I'm here 244 00:13:46,120 --> 00:13:49,760 Speaker 1: with you, Bob, is because would be very happy. Well, 245 00:13:49,840 --> 00:13:51,640 Speaker 1: it's a level of talent on the air because it's 246 00:13:51,640 --> 00:13:54,840 Speaker 1: evolved since the z Morning Zoo started and I grew 247 00:13:54,880 --> 00:13:57,199 Speaker 1: up at this radio station with my kids. But it's 248 00:13:57,240 --> 00:14:00,679 Speaker 1: the level of talent and preparation, the work. I know 249 00:14:01,400 --> 00:14:04,880 Speaker 1: that I'm getting a very expensive product. This is not 250 00:14:04,960 --> 00:14:08,040 Speaker 1: a casual bunch of people. These are highly trained people 251 00:14:08,360 --> 00:14:11,240 Speaker 1: who were sleeping when you were partying last night, preparing 252 00:14:11,600 --> 00:14:15,199 Speaker 1: for a great show. They're entertainers. They're passionate about the music. 253 00:14:15,440 --> 00:14:18,120 Speaker 1: They front and back announce a record. You have to 254 00:14:18,120 --> 00:14:20,160 Speaker 1: get that. You hear the saliva coming out of there. 255 00:14:20,360 --> 00:14:22,840 Speaker 1: You hear the disappointment, you hear the frustration. You hear 256 00:14:23,240 --> 00:14:28,240 Speaker 1: all kinds of stories about sports, weather, news, tragedy, miracles, 257 00:14:28,240 --> 00:14:33,200 Speaker 1: elections in context with great music and great rotation. So 258 00:14:33,240 --> 00:14:37,080 Speaker 1: the endorsement of a radio station, the support that plays 259 00:14:37,120 --> 00:14:40,760 Speaker 1: it a lot, means that there's something going on. I 260 00:14:40,800 --> 00:14:44,080 Speaker 1: can't think of how to break an artist or a 261 00:14:44,160 --> 00:14:48,560 Speaker 1: record without radio in tandem with streaming. I think streaming 262 00:14:48,600 --> 00:14:51,280 Speaker 1: is very key as an early indicator or a late indicator. 263 00:14:51,560 --> 00:14:54,120 Speaker 1: But you must have radio. You know, it's very rare 264 00:14:54,680 --> 00:14:57,760 Speaker 1: that you get to Madison Square Garden or the headlining 265 00:14:57,760 --> 00:15:02,280 Speaker 1: of a festival, whether it's Lallapalooza, well Glastonbury without radio. 266 00:15:02,680 --> 00:15:04,680 Speaker 1: I'll give you a scene in Copenhagen. I went to 267 00:15:04,760 --> 00:15:07,160 Speaker 1: a restaurant that blew my mind. My wife and I 268 00:15:07,440 --> 00:15:09,760 Speaker 1: we went to see Mumford and Sons in Copenhagen. Thursday night, 269 00:15:09,800 --> 00:15:11,680 Speaker 1: we got to go to Noma. How could you get in? 270 00:15:11,920 --> 00:15:15,200 Speaker 1: Because somebody heard me on an interview once and was inspired. 271 00:15:15,600 --> 00:15:18,200 Speaker 1: One of the co owners and managers heard it and 272 00:15:18,280 --> 00:15:21,200 Speaker 1: invited me a year ago. Very lucky. So I'm very lucky, 273 00:15:21,240 --> 00:15:24,200 Speaker 1: and I pinched myself. We get to Noma and we're clicking. 274 00:15:24,200 --> 00:15:27,440 Speaker 1: There are twenty four different chefs working there, twenty four 275 00:15:27,480 --> 00:15:30,720 Speaker 1: different nationalities helping us. And this one guy comes over. 276 00:15:30,880 --> 00:15:32,480 Speaker 1: I said, where are you from? He says, hey, mate, 277 00:15:32,600 --> 00:15:35,760 Speaker 1: I'm from Australia. And I start rattling off my successes. 278 00:15:36,160 --> 00:15:38,680 Speaker 1: I've got my early days of ice House and Johnny 279 00:15:38,680 --> 00:15:41,120 Speaker 1: diesel on, the divinyls that I hit him with, Mansion Air, 280 00:15:41,200 --> 00:15:45,800 Speaker 1: the temperaturerap flight facilities, the Teskey Brothers, it's blank, nothing 281 00:15:45,800 --> 00:15:48,560 Speaker 1: going on. My wife said, wow, that was like cold. 282 00:15:48,840 --> 00:15:51,160 Speaker 1: I'm on the way to the men's room and I said, 283 00:15:51,400 --> 00:15:53,160 Speaker 1: my wife thinks you're a hip hop head. He said, 284 00:15:53,160 --> 00:15:56,720 Speaker 1: I am. I said, well, you know we broke childish gambino. 285 00:15:57,160 --> 00:16:00,640 Speaker 1: Oh now you're talking, he said, I'm getting read I'm 286 00:16:00,640 --> 00:16:03,240 Speaker 1: gonna march down the aisle just so into you. And 287 00:16:03,320 --> 00:16:05,560 Speaker 1: he has the wrong artist and I said, no, that 288 00:16:05,600 --> 00:16:08,040 Speaker 1: was Ta Mia and he did it on Triple J Radio. 289 00:16:08,400 --> 00:16:10,720 Speaker 1: He clemes back to the table and he said, you're right, 290 00:16:10,880 --> 00:16:13,000 Speaker 1: it was Triple J Radio. Why I first heard that song. 291 00:16:13,240 --> 00:16:16,960 Speaker 1: So it was radio connecting us at this moment of 292 00:16:17,000 --> 00:16:19,520 Speaker 1: a song that he did as a cover song when 293 00:16:19,520 --> 00:16:21,720 Speaker 1: he was in Australia, and that was a big moment. 294 00:16:22,760 --> 00:16:25,480 Speaker 1: Well that's it for today's bonus episode of Math and Magic. 295 00:16:25,800 --> 00:16:27,720 Speaker 1: We have some great new episodes coming your way in 296 00:16:27,840 --> 00:16:30,720 Speaker 1: season two, from how Robin Hood Foundation got its start 297 00:16:30,880 --> 00:16:34,400 Speaker 1: to the beginnings of Nickelodeon. Until then, I'm Bob Pittman. 298 00:16:34,560 --> 00:16:40,200 Speaker 1: Thanks for listening. Thanks so much for listening to Math 299 00:16:40,320 --> 00:16:43,080 Speaker 1: and Magic, a production of I Heart Radio. This show 300 00:16:43,120 --> 00:16:46,320 Speaker 1: is hosted by Bob Pittman. Special thanks to Sue Schillinger 301 00:16:46,360 --> 00:16:48,760 Speaker 1: for booking and wrangling our wonderful talent, which is no 302 00:16:48,920 --> 00:16:53,000 Speaker 1: small feat Nikkiatore for pulling research bill plaques, and Michael 303 00:16:53,000 --> 00:16:56,120 Speaker 1: Asar for their recording help, our editor Ryan Murdoch, and 304 00:16:56,160 --> 00:16:59,920 Speaker 1: of course Gayle Raoul, Eric Angel, Noel Mango and every 305 00:17:00,000 --> 00:17:02,720 Speaker 1: one who helped bring this show to your ears until 306 00:17:02,800 --> 00:17:03,280 Speaker 1: next time.