WEBVTT 00:00:01.251 --> 00:00:03.533 Like a lot of people around the world, 00:00:03.533 --> 00:00:06.395 earlier this summer my friends and I were obsessed 00:00:06.395 --> 00:00:08.762 with the Women's World Cup held in France. 00:00:08.762 --> 00:00:11.647 Here we are, watching these incredible athletes, 00:00:11.647 --> 00:00:15.408 the goals were amazing, the games were clean and engaging, 00:00:15.408 --> 00:00:17.834 and at the same time, outside the field, 00:00:17.834 --> 00:00:20.379 these women are talking about equal pay, 00:00:20.379 --> 00:00:23.754 and in the case of some countries, any pay at all for their sport. 00:00:23.754 --> 00:00:27.311 So because we were mildly obsessed, we wanted to watch the games live, 00:00:27.311 --> 00:00:31.015 and we decided that one of the Spanish-speaking networks in the US 00:00:31.015 --> 00:00:32.807 was the best place for us to start, 00:00:32.807 --> 00:00:36.058 and it wasn't until a few games into the tournament 00:00:36.058 --> 00:00:38.702 that a friend of mine talks to me and says, 00:00:38.702 --> 00:00:41.020 "Why does it feel like everything I'm seeing 00:00:41.020 --> 00:00:45.021 is commercials for makeup and household cleaning products and diets?" NOTE Paragraph 00:00:45.021 --> 00:00:46.966 It did feel a little bit too obvious, 00:00:46.966 --> 00:00:49.211 and I don't know if we were sensitive about it 00:00:49.211 --> 00:00:52.358 or the fact that we were watching with men and boys in our lives, 00:00:52.358 --> 00:00:55.812 but it did feel a little bit too obvious 00:00:55.812 --> 00:00:57.722 that we're being targeted for being women. NOTE Paragraph 00:00:57.722 --> 00:01:01.016 And to be honest there's nothing necessarily wrong with that. 00:01:01.016 --> 00:01:04.825 Someone sat down and looked at the tournament and said, 00:01:04.825 --> 00:01:07.534 "Well, this thing is likely to be seen by more women, 00:01:07.534 --> 00:01:10.611 these women are Hispanic because they're watching in Spanish, 00:01:10.611 --> 00:01:11.841 and this is women content. 00:01:11.841 --> 00:01:15.366 Therefore, this is a great place for me to place all these commercials 00:01:15.366 --> 00:01:18.606 that are female-centric and maybe not other things." 00:01:18.606 --> 00:01:20.204 If I think about it as a marketer, 00:01:20.204 --> 00:01:23.082 I know that I absolutely should not be annoyed about it, 00:01:23.082 --> 00:01:26.149 because this is what marketers are tasked with doing. 00:01:26.149 --> 00:01:29.898 Marketers are tasked with building brands with very limited budget, 00:01:29.898 --> 00:01:32.226 so there's a little bit of an incentive 00:01:32.226 --> 00:01:34.475 to categorize people in buckets 00:01:34.475 --> 00:01:36.230 so they can reach their target faster. 00:01:36.230 --> 00:01:37.725 So if you think about this, 00:01:37.725 --> 00:01:39.294 it's kind of like a shortcut. 00:01:39.294 --> 00:01:43.394 They're using gender as a shortcut to get to their target consumer. NOTE Paragraph 00:01:43.622 --> 00:01:47.623 The issue is that as logical as that argument seems, 00:01:47.623 --> 00:01:50.392 gender as a shortcut is actually not great. 00:01:50.392 --> 00:01:53.972 In this day and age, if you still blindly use a gender view 00:01:53.972 --> 00:01:55.685 for your marketing activities, 00:01:55.685 --> 00:01:57.806 actually it's just plain bad business. 00:01:57.806 --> 00:02:02.226 I'm not talking even about the backlash on stereotypes in advertising, 00:02:02.226 --> 00:02:04.823 which is a very real thing that has to be addressed. 00:02:04.823 --> 00:02:08.286 I'm saying it's bad business because you're leaving money on the table 00:02:08.286 --> 00:02:10.139 for your brands and your products. 00:02:10.139 --> 00:02:13.828 Because gender is such an easy thing to find in the market 00:02:13.828 --> 00:02:15.468 and to target and to talk about, 00:02:15.468 --> 00:02:17.852 it actually distracts you from the fun things 00:02:17.852 --> 00:02:19.877 that could be driving growth from your brands, 00:02:19.877 --> 00:02:22.001 and, at the same time, 00:02:22.001 --> 00:02:24.602 it continues to create separation around genders 00:02:24.602 --> 00:02:25.899 and perpetuating stereotypes. 00:02:25.899 --> 00:02:29.059 So at the same time this activity is bad for your business 00:02:29.059 --> 00:02:32.079 and bad for society, so double whammy. 00:02:32.079 --> 00:02:35.810 And gender is one of those things like other demographics 00:02:35.810 --> 00:02:38.436 that have historically been good marketing shortcuts. 00:02:38.560 --> 00:02:39.969 At some point, however, 00:02:39.969 --> 00:02:42.414 we forgot that at the core we were targeting needs 00:02:42.414 --> 00:02:47.070 around cooking and cleaning and personal care and driving and sports 00:02:47.070 --> 00:02:51.002 and we just made it all a bucket and we said, "Men and women are different." 00:02:51.002 --> 00:02:53.670 We got used to it and we never challenged it again, 00:02:53.670 --> 00:02:55.332 and it's fascinating to me 00:02:55.332 --> 00:02:58.092 and by fascinating I mean a little bit insane 00:02:58.092 --> 00:03:00.537 that we still talk about this as a segment 00:03:00.537 --> 00:03:02.866 when it's most likely carryover bias. NOTE Paragraph 00:03:03.615 --> 00:03:06.262 In fact, I don't come to this conclusion lightly. 00:03:06.262 --> 00:03:10.314 We have enough data to suggest that gender is not the best place 00:03:10.314 --> 00:03:13.771 to start for you to design and target your brands. 00:03:13.771 --> 00:03:15.791 And I would even go one step further: 00:03:15.791 --> 00:03:20.325 unless you are working in a very gender-specific product category, 00:03:20.325 --> 00:03:21.807 probably anything else 00:03:21.807 --> 00:03:24.314 you're hypothesizing about your consumer right now 00:03:24.314 --> 00:03:26.743 is going to be more useful than gender. NOTE Paragraph 00:03:27.646 --> 00:03:31.083 We did not set up to draw this conclusion specifically. 00:03:31.083 --> 00:03:32.344 We found it. 00:03:32.344 --> 00:03:34.870 As consultants, our job is to go with our clients 00:03:34.870 --> 00:03:36.273 and understand their business 00:03:36.273 --> 00:03:40.011 and try to help them find spaces for their brands to grow, 00:03:40.011 --> 00:03:44.253 and it is our belief that if you want to find disruptive growth in the market, 00:03:44.253 --> 00:03:45.963 you have to go to the consumer 00:03:45.963 --> 00:03:48.384 and take a very agnostic view of the consumer. 00:03:48.384 --> 00:03:50.653 You have to go and look at them from scratch, 00:03:50.653 --> 00:03:54.940 remove yourself from biases and segments that you thought were important, 00:03:54.940 --> 00:03:57.719 just take a look to see where the growth is. 00:03:57.719 --> 00:04:01.002 And we built ourselves an algorithm precisely for that. 00:04:01.002 --> 00:04:04.855 So imagine that we have a person and we know a person 00:04:04.855 --> 00:04:07.609 is making a choice about a product or service, 00:04:07.609 --> 00:04:10.776 and from this person, I can know their gender, of course, 00:04:10.776 --> 00:04:13.795 other demographics, where they live, their income, other things. 00:04:13.795 --> 00:04:17.154 I know the context where this person is making a decision, 00:04:17.154 --> 00:04:19.351 where they are, who they're with, 00:04:19.351 --> 00:04:21.002 the energy, anything, 00:04:21.002 --> 00:04:23.169 and I can also put other things in the mix. 00:04:23.169 --> 00:04:24.671 I can know their attitudes, 00:04:24.671 --> 00:04:26.222 how they feel about the category, 00:04:26.222 --> 00:04:27.726 their behaviors. NOTE Paragraph 00:04:27.726 --> 00:04:31.838 So if you imagine this kind of blob of big data about a person, 00:04:31.838 --> 00:04:34.731 I'm going to oversimplify the science here 00:04:34.731 --> 00:04:37.942 but we basically built an algorithm for statistical tournaments. 00:04:37.942 --> 00:04:42.182 So a statistical tournament is like asking this big thing of data, 00:04:42.182 --> 00:04:46.705 "So, data, from everything you know about consumers at this point, 00:04:46.705 --> 00:04:50.815 what is the most useful thing I need to know 00:04:50.815 --> 00:04:52.773 that tells me more about what consumers need? 00:04:52.773 --> 00:04:54.834 So the tournament is going to have winners and losers. 00:04:54.834 --> 00:04:57.810 The winners are those variables, those dimensions, 00:04:57.810 --> 00:04:59.673 that actually teach you a lot about your consumer, 00:04:59.673 --> 00:05:02.367 that if you know that, you know what they need, 00:05:02.367 --> 00:05:05.210 and there's losing variables that are just not that practical, 00:05:05.210 --> 00:05:08.647 and this matters because in a world of limited resources, 00:05:08.647 --> 00:05:12.111 you don't want to waste it on people that actually have the same needs. 00:05:12.111 --> 00:05:14.022 So why treat them differently? NOTE Paragraph 00:05:14.022 --> 00:05:16.860 So at this point, I know, suspense is not killing you, 00:05:16.860 --> 00:05:18.451 because I told you what the output is, 00:05:18.451 --> 00:05:22.055 but what we found over time 00:05:22.055 --> 00:05:25.720 is, after 200 projects around the world, this is covering 20 countries or more, 00:05:25.720 --> 00:05:29.118 in essence we ran about a hundred thousand of these tournaments, 00:05:29.118 --> 00:05:36.069 and, no surprise, gender was very rarely the most predictive thing 00:05:36.069 --> 00:05:37.402 to understand consumer needs. 00:05:37.402 --> 00:05:39.608 From a hundred thousand tournaments, 00:05:39.608 --> 00:05:42.293 gender only came out as the winning variable 00:05:42.293 --> 00:05:44.117 in about five percent of them. 00:05:44.117 --> 00:05:47.002 This is true around the world, by the way. 00:05:47.002 --> 00:05:49.834 We did this in places where traditional gender roles 00:05:49.834 --> 00:05:52.252 are little more pronounced, 00:05:52.252 --> 00:05:53.195 and the conclusions were exactly the same. 00:05:53.195 --> 00:05:55.840 It was a little bit more important, gender, than five percent, 00:05:55.840 --> 00:05:57.287 but not material. 00:05:57.287 --> 00:05:59.349 So let's let that sink in for a second. 00:05:59.349 --> 00:06:01.630 No matter how you're looking at a consumer, 00:06:01.630 --> 00:06:06.648 most likely anything else is going to be more interesting to you than gender. 00:06:06.648 --> 00:06:09.793 There's probably something very important you need to know about them, 00:06:09.793 --> 00:06:13.566 and you're getting distracted because you're doing everything based on gender. 00:06:13.566 --> 00:06:15.791 And that's why I say you're leaving money on the table. 00:06:15.791 --> 00:06:16.836 Gender is easy. 00:06:16.836 --> 00:06:19.065 It's easy to design advertising based on gender, 00:06:19.065 --> 00:06:21.252 it's easy to target people online and on TV based on gender. 00:06:21.252 --> 00:06:21.722 But at the end, that's not where the exciting growth will come from. 00:06:21.722 --> 00:06:28.428 If you're a food company, for example, 00:06:28.428 --> 00:06:31.358 it's actually much more interesting to you 00:06:31.358 --> 00:06:33.618 to know where people are eating, 00:06:33.618 --> 00:06:35.148 who they are eating with, 00:06:35.148 --> 00:06:38.473 are they very nutritionally oriented. 00:06:38.473 --> 00:06:41.148 All of those things are actually significantly more powerful and useful 00:06:41.148 --> 00:06:43.427 than knowing if a person is a man or a woman. 00:06:43.427 --> 00:06:45.422 And that matters, of course, 00:06:45.422 --> 00:06:48.300 because then if you're putting your limited budget into action, 00:06:48.300 --> 00:06:50.912 then you're better off creating solutions for different occasions 00:06:50.912 --> 00:06:54.619 than trying to target women versus young men. NOTE Paragraph 00:06:54.619 --> 00:06:57.129 Another example if alcoholic beverages. 00:06:57.129 --> 00:06:59.890 Thirty-five percent to 40 percent of consumption in alcoholic beverages 00:06:59.890 --> 00:07:02.651 around the world actually happens with women, 00:07:02.651 --> 00:07:04.991 but, you know, "women don't drink beer." 00:07:04.991 --> 00:07:07.645 Those are the things that we typically hear. 00:07:07.645 --> 00:07:12.909 But actually, when a man and a woman are, for the most part, in the same location, 00:07:12.909 --> 00:07:15.788 the emotional and functional needs they have at that moment 00:07:15.788 --> 00:07:17.101 are very similar. 00:07:17.101 --> 00:07:19.395 There's only one exception, by the way, 00:07:19.395 --> 00:07:21.287 and the exceptions exist, 00:07:21.287 --> 00:07:23.364 where if you have a man and a woman 00:07:23.364 --> 00:07:24.245 on a date, 00:07:24.245 --> 00:07:26.877 the man is trying to impress the woman 00:07:26.877 --> 00:07:29.189 and the woman is trying to connect with the man, 00:07:29.189 --> 00:07:30.851 so there's going to be a little bit of tension, 00:07:30.851 --> 00:07:33.840 but that's important to know. 00:07:33.840 --> 00:07:36.300 We'll take a few dates. 00:07:36.300 --> 00:07:36.918 Financial institutions: 00:07:36.918 --> 00:07:38.952 that's something where we've heard 00:07:38.952 --> 00:07:39.312 a lot about the difference between men and women, 00:07:39.312 --> 00:07:41.485 but actually talking about men and women as different 00:07:41.485 --> 00:07:44.398 actually is distracting you from the thing that is underneath. 00:07:44.398 --> 00:07:47.645 We made it so simple as "women don't like to invest," 00:07:47.645 --> 00:07:49.467 "women hate managing their money," 00:07:49.467 --> 00:07:51.736 "men are great and aggressive and risk-takers," 00:07:51.736 --> 00:07:53.727 but at the end it's not about men and women. 00:07:53.727 --> 00:07:55.586 It is actually a different narrative. 00:07:55.586 --> 00:07:57.723 It is about, there are people that are excited and energized 00:07:57.723 --> 00:08:01.644 and educated to manage their finances 00:08:01.644 --> 00:08:03.141 versus people that are not. 00:08:03.141 --> 00:08:04.888 So if you change the conversation 00:08:04.888 --> 00:08:07.637 from men and women to actually what's underneath 00:08:07.637 --> 00:08:11.040 then probably you'll stop being so condescending to women 00:08:11.040 --> 00:08:12.919 and you may start serving some men 00:08:12.919 --> 00:08:15.580 that are actually shy about managing their finances. NOTE Paragraph 00:08:15.580 --> 00:08:17.836 I'll leave one more example. 00:08:17.836 --> 00:08:20.501 If I go back to the women that were playing sport at the beginning, 00:08:20.501 --> 00:08:22.395 one of the fascinating things we found 00:08:22.395 --> 00:08:24.325 over different countries 00:08:24.325 --> 00:08:26.364 exploring sportswear 00:08:26.364 --> 00:08:28.824 that if a person is a competitive person 00:08:28.824 --> 00:08:30.708 and they are in the moment of action, 00:08:30.708 --> 00:08:33.587 the needs are not different between a man and a woman. 00:08:33.587 --> 00:08:35.446 An athlete is an athlete. 00:08:35.446 --> 00:08:37.565 It doesn't matter for men and women, it doesn't matter for old and young, 00:08:37.565 --> 00:08:39.189 you are an athlete, 00:08:39.189 --> 00:08:41.819 and in the moment of action and extreme competition, 00:08:41.819 --> 00:08:43.759 you need this gear to work for you. 00:08:43.759 --> 00:08:47.285 So these soccer-playing women have a lot in common with their counterparts. 00:08:47.285 --> 00:08:49.417 Out of the field, it doesn't matter. 00:08:49.417 --> 00:08:51.256 Out of the field, they may be into fashion, into other things, 00:08:51.256 --> 00:08:52.787 but on the field, 00:08:52.787 --> 00:08:54.816 the needs are not different. NOTE Paragraph 00:08:54.816 --> 00:08:58.674 So these are just a few examples on categories where we found 00:08:58.674 --> 00:09:01.145 that gender was not the best place to go, 00:09:01.145 --> 00:09:03.928 and actually the argument is that 00:09:03.928 --> 00:09:06.775 at this point it's not even a feminist push, 00:09:06.775 --> 00:09:07.924 it's just we got used it. 00:09:07.924 --> 00:09:09.482 We got used to using gender, 00:09:09.482 --> 00:09:12.191 and it's important for us to start finding ways 00:09:12.191 --> 00:09:14.917 to measure other things about consumers 00:09:14.917 --> 00:09:16.931 so that we don't revert back to gender. 00:09:16.931 --> 00:09:19.311 I am not naïve, 00:09:19.311 --> 00:09:21.321 and I know there's still going to be appetite 00:09:21.321 --> 00:09:22.628 and certain ease around using gender, 00:09:22.628 --> 00:09:24.298 but at least this warrants conversation. 00:09:24.298 --> 00:09:26.422 In your business, you have to inquire, 00:09:26.422 --> 00:09:29.035 is this really the best lens for me to grow. NOTE Paragraph 00:09:29.035 --> 00:09:32.916 So, if you are, like me, a person that is in business 00:09:32.916 --> 00:09:36.811 that I am constantly worried about what is my role 00:09:36.811 --> 00:09:39.643 in the broader societal discussions, 00:09:39.643 --> 00:09:42.226 if you're listening to your business 00:09:42.226 --> 00:09:43.105 and you hear things like, 00:09:43.105 --> 00:09:45.035 "Oh, my target are women, my target are men, 00:09:45.035 --> 00:09:47.910 this goes to young girls, young boys," 00:09:47.910 --> 00:09:49.823 when it's that gender conversation, 00:09:49.823 --> 00:09:51.359 unless you are working, again, 00:09:51.359 --> 00:09:55.482 in a very specific, gender-specific product category, 00:09:55.482 --> 00:09:57.277 take this as a warning sign, 00:09:57.277 --> 00:09:59.875 because if you keep having these conversations, 00:09:59.875 --> 00:10:02.392 you will keep perpetuating stereotypes of people 00:10:02.392 --> 00:10:04.879 and making people think that men and women are different. 00:10:04.879 --> 00:10:07.405 But because this is business, and we're running a business 00:10:07.405 --> 00:10:08.654 and we want to grow it, 00:10:08.654 --> 00:10:11.644 at least kind of challenge your own instinct to use gender, 00:10:11.644 --> 00:10:15.435 because statistics say that you're probably not choosing the best variable 00:10:15.435 --> 00:10:17.447 to target your product or service. 00:10:17.447 --> 00:10:19.941 Growth is not easy at all. 00:10:19.941 --> 00:10:22.102 What makes you think that growth is going to come 00:10:22.102 --> 00:10:25.138 from going into market with such an outdated lens like gender? NOTE Paragraph 00:10:25.138 --> 00:10:28.283 So let's stop doing what's easy and go for what's right. 00:10:28.283 --> 00:10:30.413 At this point, it's not just for your business, it's for society. NOTE Paragraph 00:10:30.413 --> 00:10:32.046 Thank you. NOTE Paragraph 00:10:32.046 --> 99:59:59.999 (Applause)