WEBVTT 00:00:00.000 --> 00:00:04.600 There's a halo effect when we look at a sports fan and their avidity 00:00:04.600 --> 00:00:05.760 and their loyalty. 00:00:05.920 --> 00:00:09.640 It's very much how many consumers feel about certain brands as well. 00:00:11.040 --> 00:00:14.600 We're joined by Jamie from Ipsos and Nicole from BCG. 00:00:14.600 --> 00:00:17.040 Welcome, both. Jamie, at Ipsos 00:00:17.040 --> 00:00:20.440 you look at so much data and so many of the trends are emerging. 00:00:21.200 --> 00:00:23.920 We're fascinated by the sports market in particular. 00:00:23.920 --> 00:00:25.880 You know, in the last few years there's been so 00:00:25.880 --> 00:00:29.000 much more social media engagement, so many issues that have sort of brought 00:00:29.000 --> 00:00:30.160 sports fans out to the fore. 00:00:30.160 --> 00:00:32.520 You must have so much more data now than ever before. 00:00:33.080 --> 00:00:36.000 Give us a sense of some of the insights that you're getting. 00:00:36.920 --> 00:00:37.600 Absolutely. 00:00:37.600 --> 00:00:39.960 The sports market is changing very quickly. 00:00:40.160 --> 00:00:46.440 And what we see is not only an increase in fandom across not just avid fans 00:00:46.440 --> 00:00:50.360 but also an increase in fandom from the perspective of casual fans as well, 00:00:50.360 --> 00:00:55.280 who might not be as knowledgeable or have as much history with their sports fandom, 00:00:55.280 --> 00:00:59.760 but who are leaning into other areas of the sports ecosystem that have been 00:00:59.760 --> 00:01:03.600 powered by recent evolutions in technology such as social media. 00:01:03.600 --> 00:01:09.480 And now casual fans who might not be as avid with respect to the sport itself 00:01:09.480 --> 00:01:14.320 might be interested in the fashion of the athletes, the athletes as creators, 00:01:14.320 --> 00:01:19.800 what the behind-the-scenes elements are behind the sport itself before, during, 00:01:19.800 --> 00:01:22.040 and after the match or the game. 00:01:22.040 --> 00:01:25.040 And so it's a very interesting and quickly moving landscape, 00:01:25.040 --> 00:01:26.880 and brands are taking notice as well. 00:01:26.880 --> 00:01:32.480 And so there's a very big lean-in motion right now from sponsors with respect to 00:01:32.480 --> 00:01:37.960 leaning in and engaging with athletes and with teams and with leagues as well. 00:01:38.880 --> 00:01:41.600 And Nicole, we're also seeing this entire ecosystem 00:01:41.600 --> 00:01:44.320 around sports, not just about the sports themselves 00:01:44.320 --> 00:01:47.720 anymore, even in terms of female sports, which haven't always 00:01:47.720 --> 00:01:48.880 been so prevalent before. 00:01:49.240 --> 00:01:50.360 Tell us a bit about what you're seeing. 00:01:51.160 --> 00:01:55.640 I think that's the most interesting and emerging audience in that space. 00:01:55.640 --> 00:01:59.200 Situational fans, as you say, the casual fans, 00:01:59.200 --> 00:02:04.160 very often females getting into particular matches, games, 00:02:04.160 --> 00:02:07.200 sports via fashion, via events. 00:02:07.520 --> 00:02:09.080 It's a very big trend. 00:02:09.480 --> 00:02:14.200 And very often these situational fans are then here to stay because the fashion 00:02:14.200 --> 00:02:17.760 sticks, the clothing sticks, it's a very interesting space. 00:02:17.760 --> 00:02:19.480 And it's a space for new brands, 00:02:19.480 --> 00:02:22.360 existing brands to get new female audiences. 00:02:23.320 --> 00:02:27.400 And Jamie, is there something specific about sports 00:02:27.400 --> 00:02:27.800 fans? 00:02:27.800 --> 00:02:30.400 You know, they already engender such loyalty to a 00:02:30.400 --> 00:02:30.720 cause. 00:02:30.720 --> 00:02:34.080 Does it make them a particularly interesting consumer for other brands? 00:02:34.120 --> 00:02:34.600 Absolutely. 00:02:34.600 --> 00:02:39.440 There's a halo effect when we look at a sports fan and their avidity and their 00:02:39.440 --> 00:02:42.400 loyalty, it's very much how many consumers feel 00:02:42.400 --> 00:02:44.200 about certain brands as well. 00:02:44.200 --> 00:02:47.640 And so there's a parallel. And when brands align with sports 00:02:47.640 --> 00:02:52.560 fans—whether that be in a moment of interest that could go viral on social 00:02:52.560 --> 00:02:57.360 media or just from a longer-term sponsorship perspective—the halo effect 00:02:57.360 --> 00:03:02.560 of that passion can lend itself into a consumer's engagement with a brand that 00:03:02.560 --> 00:03:06.600 they see next to a particular athlete or sport. 00:03:06.600 --> 00:03:09.080 And Nicole, are brands leaning into this enough? 00:03:09.080 --> 00:03:11.040 Do they know where to focus? 00:03:11.040 --> 00:03:14.480 And how are they sort of using data, I suppose, to make these decisions? 00:03:15.120 --> 00:03:17.560 It's tricky for brands to really get into it. 00:03:17.560 --> 00:03:22.640 And to add to what's very interesting about the sport audience community is 00:03:22.640 --> 00:03:24.320 it's a group halo effect. 00:03:24.320 --> 00:03:28.000 So it's not just a one to one, it's a one to many. 00:03:28.240 --> 00:03:30.040 It's group marketing in that. 00:03:30.200 --> 00:03:31.840 And that's a very new space. 00:03:32.320 --> 00:03:35.800 It's the space brands get into via influencer, 00:03:35.800 --> 00:03:39.360 it's the space brands get into via data points. 00:03:39.640 --> 00:03:44.760 Generative AI helps these brands for the first time to be quicker to market, 00:03:44.760 --> 00:03:49.960 to understand what is being discussed on all these social networks and how to 00:03:49.960 --> 00:03:50.600 activate. 00:03:50.600 --> 00:03:53.320 So we certainly see that on the big horizon. 00:03:54.640 --> 00:03:58.280 And Jamie, you're sort of seeing how consumers are 00:03:58.280 --> 00:04:00.000 reacting to all of this. 00:04:00.240 --> 00:04:03.360 Give us a sense of some of the insights that you've got to—I mean, 00:04:03.360 --> 00:04:06.320 even sort of just the adaptation of AI to some of this world. 00:04:06.920 --> 00:04:09.200 The AI space is changing very, very quickly. 00:04:09.480 --> 00:04:11.800 And at Ipsos, we represent the voice of the user, 00:04:11.800 --> 00:04:13.040 the voice of the consumer. 00:04:13.040 --> 00:04:17.480 And in our research around the world, we see that it's a very mixed bag as it 00:04:17.480 --> 00:04:21.320 relates to this notion of trust in AI from a consumer perspective. 00:04:21.320 --> 00:04:27.400 So we study that very closely, whether that's simply a trust in an AI 00:04:27.400 --> 00:04:34.520 image-generation tool or the trust by a consumer towards a brand leveraging AI in 00:04:34.520 --> 00:04:35.920 its advertising. 00:04:36.080 --> 00:04:40.600 And it's very much a mixed bag as far as sentiment in that regard. 00:04:40.960 --> 00:04:46.440 And we're seeing that as consumers themselves become users of AI, 00:04:46.440 --> 00:04:49.120 that trust is slowly increasing. 00:04:49.840 --> 00:04:51.000 That's so interesting. 00:04:51.200 --> 00:04:53.840 Well, thank you, both, for joining us and for giving us a sense 00:04:53.840 --> 00:04:55.920 of what's happening in both sports and branding. 00:04:56.120 --> 00:04:57.880 It's been a really fascinating chat. 00:04:57.880 --> 00:05:00.200 Thank you. Thank you. Thank you for having us.