1 00:00:01,200 --> 00:00:04,680 Jaayne: Ever get that feeling when you open up a spreadsheet and it's just rows and 2 00:00:04,680 --> 00:00:06,600 Jaayne: rows of numbers staring back at you? 3 00:00:06,820 --> 00:00:10,040 Jaayne: Yeah, podcast data can feel a bit like that sometimes. 4 00:00:10,300 --> 00:00:11,040 Jamie: It can be overwhelming. 5 00:00:11,360 --> 00:00:15,520 Jaayne: Totally. And with Chartable recently changing its Apple podcast integration, 6 00:00:16,100 --> 00:00:18,400 Jaayne: it feels like a good time for a deep dive. 7 00:00:18,700 --> 00:00:21,340 Jamie: Lots of podcasters are talking about what metrics really matter. 8 00:00:21,560 --> 00:00:24,560 Jaayne: It's like everyone's questioning their entire analytics dashboard. 9 00:00:25,060 --> 00:00:29,520 Jaayne: So that's what we're diving into today. We've got two articles that tackle this whole data dilemma. 10 00:00:29,520 --> 00:00:31,520 Jamie: Yeah, they come at it from totally different angles. 11 00:00:31,700 --> 00:00:37,040 Jaayne: The first one digs into how important it is to really understand your audience, 12 00:00:37,340 --> 00:00:41,340 Jaayne: like really, really understand them and all their little listening habits. 13 00:00:41,640 --> 00:00:47,580 Jamie: Yeah, and not just why they listen to your podcast, but like what else is in their podcast app. 14 00:00:47,780 --> 00:00:51,540 Jaayne: What makes them tick, right? And this article is saying that is the intel that's 15 00:00:51,540 --> 00:00:52,580 Jaayne: going to help your show grow. 16 00:00:52,840 --> 00:00:56,400 Jamie: And not just grow, potentially bring in some money too. 17 00:00:56,580 --> 00:00:57,180 Jaayne: Oh, interesting. 18 00:00:57,180 --> 00:01:00,500 Jamie: Because if you can prove to sponsors that you get your audience, 19 00:01:00,680 --> 00:01:01,960 Jaayne: You know what they want. 20 00:01:02,240 --> 00:01:06,200 Jamie: Exactly. Then you're not just selling downloads anymore. You're selling influence. 21 00:01:06,760 --> 00:01:09,820 Jaayne: OK, yeah, I see what you're saying. But then we've got the other side of the 22 00:01:09,820 --> 00:01:14,460 Jaayne: coin, which is basically saying, hold your horses. Let's not go building a data empire here. 23 00:01:14,680 --> 00:01:19,820 Jamie: Right. This article is giving us the case for why all those detailed analytics could be overkill. 24 00:01:20,200 --> 00:01:24,240 Jaayne: Especially if you're just starting out or if you're doing this whole podcasting 25 00:01:24,240 --> 00:01:26,500 Jaayne: thing for the love of it, not for the sponsorships. 26 00:01:26,500 --> 00:01:31,060 Jamie: They're saying that agonizing over all that data just sucks up all your time. 27 00:01:31,460 --> 00:01:34,580 Jamie: Time that could be better spent, you know, actually making good content. 28 00:01:34,860 --> 00:01:38,460 Jaayne: Yeah, and actually enjoying the process, right? Because nobody wants to need 29 00:01:38,460 --> 00:01:41,460 Jaayne: a degree in data science just to share their passion with the world. 30 00:01:41,740 --> 00:01:43,260 Jaayne: So where do we go from here? 31 00:01:43,580 --> 00:01:47,740 Jamie: Well, how do you figure out where you land in all of this? Let's unpack why 32 00:01:47,740 --> 00:01:49,180 Jamie: each of these approaches make sense. 33 00:01:49,640 --> 00:01:53,540 Jamie: Then we can give you the tools to decide what level of tracking makes sense 34 00:01:53,540 --> 00:01:54,800 Jamie: for your podcasting goals. 35 00:01:54,980 --> 00:01:58,980 Jaayne: That sounds good to me. Let's do this. Okay, so let's say you're on board with 36 00:01:58,980 --> 00:02:01,200 Jaayne: this whole data savvy podcaster thing. 37 00:02:01,400 --> 00:02:02,520 Jamie: Yeah, you're ready to get granular. 38 00:02:02,840 --> 00:02:03,440 Jaayne: Totally. Totally. 39 00:02:03,910 --> 00:02:06,790 Jaayne: What are the arguments for getting into all that data? 40 00:02:07,010 --> 00:02:11,410 Jamie: So this first article uses this phrase, listener consumption and drop off. 41 00:02:11,650 --> 00:02:16,490 Jamie: And it's interesting. Imagine like actually being able to see where people stop 42 00:02:16,490 --> 00:02:17,870 Jamie: listening to your episodes. 43 00:02:18,010 --> 00:02:19,490 Jaayne: Oh, that's super useful, though. Yeah. 44 00:02:20,170 --> 00:02:24,810 Jamie: Imagine seeing if there was a certain point where people consistently lose interest. 45 00:02:25,010 --> 00:02:26,130 Jaayne: That's actionable right there. 46 00:02:26,250 --> 00:02:29,930 Jamie: Right. And it's not just about seeing what's not working. You can see what is 47 00:02:29,930 --> 00:02:33,510 Jamie: working, too. Like maybe there's a spike in engagement every time you include 48 00:02:33,510 --> 00:02:34,930 Jamie: a certain segment. So good. 49 00:02:35,190 --> 00:02:38,670 Jamie: It's about understanding what your audience likes and giving them more of it. 50 00:02:38,730 --> 00:02:42,370 Jaayne: Like finding little hidden clues. This reminds me, the article also talked about 51 00:02:42,370 --> 00:02:46,970 Jaayne: attracting sponsors and how knowing all this granular data about your audience. 52 00:02:46,970 --> 00:02:49,730 Jamie: Yeah, how that plays into it. Totally. Because think about it. 53 00:02:49,750 --> 00:02:52,450 Jamie: The more data you have, the clearer the picture of your audience. 54 00:02:52,570 --> 00:02:54,210 Jamie: Yes. So you're basically handing 55 00:02:54,210 --> 00:03:00,750 Jamie: potential sponsors this detailed map of everything about your listeners. 56 00:03:00,950 --> 00:03:05,490 Jamie: Imagine being able to say, hey, 60% of my listeners listen to podcasts on their 57 00:03:05,490 --> 00:03:10,110 Jamie: commute and 75% of them have told us they're interested in sustainability. 58 00:03:10,490 --> 00:03:13,290 Jaayne: You're not just selling them an audience. You're selling them a market at that 59 00:03:13,290 --> 00:03:15,630 Jaayne: point. I can see why sponsors would be into that. 60 00:03:15,810 --> 00:03:18,830 Jaayne: But how do we even get our hands on all this data? We've got to bring it back 61 00:03:18,830 --> 00:03:19,850 Jaayne: down to earth for a second. 62 00:03:20,010 --> 00:03:24,230 Jamie: Yeah, for sure. Sure. So you have to familiarize yourself with a few different platforms. 63 00:03:24,670 --> 00:03:25,330 Jaayne: Like what? 64 00:03:25,770 --> 00:03:28,110 Jamie: Apple Podcasts Connect is a big one. 65 00:03:28,210 --> 00:03:29,310 Jaayne: Okay. And that tells you? 66 00:03:29,430 --> 00:03:32,370 Jamie: That gives you insights from people listening on Apple Podcasts. 67 00:03:32,690 --> 00:03:36,190 Jamie: Spotify for podcasters does the same thing, but for Spotify listeners. 68 00:03:36,450 --> 00:03:38,990 Jamie: And then there are other tools like PodTrack. 69 00:03:39,150 --> 00:03:41,050 Jaayne: Wait, rewind. What's PodTrack? 70 00:03:41,250 --> 00:03:44,850 Jamie: Good question. It's basically like billboard charts, but for podcasts. 71 00:03:45,230 --> 00:03:48,530 Jamie: So PodTrack looks at download numbers and ranks podcasts. 72 00:03:49,010 --> 00:03:51,590 Jaayne: So you can see if you're like top of the charts. 73 00:03:51,830 --> 00:03:54,990 Jamie: Exactly. Or maybe you just want to see how you rank against some of your competitors. 74 00:03:55,230 --> 00:03:57,610 Jamie: Yeah. So, yeah, different tools for different goals. 75 00:03:57,810 --> 00:04:02,450 Jaayne: This level of data is probably for people who are serious about growing their podcasts, right? 76 00:04:02,570 --> 00:04:04,830 Jamie: For sure. Or if you want to get into monetization. 77 00:04:05,150 --> 00:04:09,290 Jaayne: Makes sense. But what if someone's happy with their smaller, more niche audience? 78 00:04:09,710 --> 00:04:13,270 Jamie: Right. What about the people doing this just because they love it? Let's get into that. 79 00:04:13,370 --> 00:04:18,650 Jaayne: OK, so we've heard from the data will set you free camp. But what about the 80 00:04:18,650 --> 00:04:20,870 Jaayne: joys of keeping things simple? 81 00:04:21,690 --> 00:04:25,490 Jaayne: Is it really enough to just glance at your download numbers every so often? 82 00:04:25,790 --> 00:04:29,610 Jamie: You know, for some people, yeah. Not everyone's trying to be number one on the charts. Probably. 83 00:04:29,890 --> 00:04:34,750 Jamie: You might be making your podcast as a creative outlet or to connect with people. 84 00:04:34,930 --> 00:04:38,410 Jaayne: Yeah. Like it's more about the quality of your listeners than the quantity. 85 00:04:38,690 --> 00:04:43,070 Jamie: Exactly. And in that case, your hosting platform probably gives you all the 86 00:04:43,070 --> 00:04:47,110 Jamie: data you need. Just the basics exactly things like how many downloads you're 87 00:04:47,110 --> 00:04:49,850 Jamie: getting or how that changes over time and that can 88 00:04:49,850 --> 00:04:50,710 Jaayne: Feel like enough. 89 00:04:50,710 --> 00:04:53,970 Jamie: It can and this other article we have for you is 90 00:04:54,670 --> 00:04:57,730 Jamie: It really emphasizes how important it is to protect your time. 91 00:04:57,990 --> 00:05:01,490 Jaayne: Ooh, that's a good point. Especially if you're busy. Right. 92 00:05:01,990 --> 00:05:04,810 Jamie: They actually say you have very finite time on your hands. And they're right. 93 00:05:05,210 --> 00:05:09,750 Jamie: Because as fun as data can be, it does take time to make sense of it all. 94 00:05:09,950 --> 00:05:12,750 Jamie: And you could be using that time to make more episodes instead. 95 00:05:13,030 --> 00:05:14,290 Jaayne: Or just like live your life. 96 00:05:14,550 --> 00:05:18,190 Jamie: Exactly. So it's about finding that balance where data is working for you, 97 00:05:18,250 --> 00:05:22,230 Jamie: not the other way around. And honestly, even if you are keeping it simple. 98 00:05:22,230 --> 00:05:23,810 Jaayne: You can still learn a lot, right? 99 00:05:23,850 --> 00:05:26,570 Jamie: For sure. Sure. Like, are your download numbers going up over time? 100 00:05:26,790 --> 00:05:29,670 Jaayne: Or like, what types of episodes are people really vibing with? 101 00:05:29,790 --> 00:05:33,190 Jamie: Right, exactly. You can get a lot of clues just from looking at those basic trends. 102 00:05:33,510 --> 00:05:36,730 Jaayne: I love that. This has been such a helpful conversation. But I'm curious, 103 00:05:37,330 --> 00:05:42,890 Jaayne: how should our listener actually find that data balance for themselves? Where do we even start? 104 00:05:43,310 --> 00:05:45,010 Jamie: I always think it starts with your goals. 105 00:05:45,230 --> 00:05:45,410 Jaayne: Yeah. 106 00:05:45,670 --> 00:05:47,370 Jamie: What are you hoping to do with this podcast? 107 00:05:47,810 --> 00:05:49,390 Jaayne: Because if it's just a hobby. 108 00:05:49,750 --> 00:05:51,430 Jamie: Yeah. Or like a fun side project. 109 00:05:51,530 --> 00:05:53,550 Jaayne: You probably don't need a whole analytics team. 110 00:05:53,550 --> 00:05:57,690 Jamie: Exactly. So if you're just starting out, I'd say focus on the basics. 111 00:05:58,130 --> 00:06:01,650 Jamie: See what your hosting platform tells you about downloads and listeners. 112 00:06:02,250 --> 00:06:05,370 Jamie: And then if your goals change, you can get fancier later on, 113 00:06:05,410 --> 00:06:08,090 Jaayne: You know. But if you want the sponsorships and the big numbers. 114 00:06:08,450 --> 00:06:10,570 Jamie: You've got to go deep. You've got to understand your audience, 115 00:06:10,710 --> 00:06:11,950 Jamie: their demographics, all of it. 116 00:06:12,010 --> 00:06:16,230 Jaayne: It's all about having the data that's going to help you make decisions. Right. 117 00:06:16,710 --> 00:06:19,810 Jamie: You're using data to make your podcast the best it can be. 118 00:06:20,010 --> 00:06:23,990 Jamie: And remember, data can be really helpful. But at the end of the day, 119 00:06:24,130 --> 00:06:27,210 Jamie: the most important thing is your connection with your listeners. 120 00:06:27,490 --> 00:06:31,070 Jaayne: That's such a good point to end on. Don't get so lost in the numbers that you 121 00:06:31,070 --> 00:06:32,670 Jaayne: forget about the humans behind them. 122 00:06:32,830 --> 00:06:33,790 Jamie: Couldn't have said it better myself. 123 00:06:34,170 --> 00:06:38,230 Jaayne: Use those insights to make amazing content and connect with the people listening 124 00:06:38,230 --> 00:06:39,250 Jaayne: on the other side of the microphone. 125 00:06:39,450 --> 00:06:43,550 Jaayne: That's what it's all about. And on that note, my friends, we've reached the 126 00:06:43,550 --> 00:06:45,330 Jaayne: end of another deep dive. 127 00:06:45,770 --> 00:06:47,710 Jaayne: Until next time, happy podcasting. 128 00:06:47,600 --> 00:06:59,470 Music: Music