1 99:59:59,999 --> 99:59:59,999 Like a lot of people around the world, 2 99:59:59,999 --> 99:59:59,999 earlier this summer my friends and I were obsessed 3 99:59:59,999 --> 99:59:59,999 with the Women's World Cup held in France. 4 99:59:59,999 --> 99:59:59,999 Here we are, watching these incredible athletes, 5 99:59:59,999 --> 99:59:59,999 the goals were amazing, the games were clean and engaging, 6 99:59:59,999 --> 99:59:59,999 and at the same time, outside the field, 7 99:59:59,999 --> 99:59:59,999 these women are talking about equal pay, 8 99:59:59,999 --> 99:59:59,999 and in the case of some countries, any pay at all for their sport. 9 99:59:59,999 --> 99:59:59,999 So because we were mildly obsessed, we wanted to watch the games live, 10 99:59:59,999 --> 99:59:59,999 and we decided that one of the Spanish-speaking networks in the US 11 99:59:59,999 --> 99:59:59,999 was the best place for us to start, 12 99:59:59,999 --> 99:59:59,999 and it wasn't until a few games into the tournament 13 99:59:59,999 --> 99:59:59,999 that a friend of mine talks to me and says, 14 99:59:59,999 --> 99:59:59,999 "Why does it feel like everything I'm seeing 15 99:59:59,999 --> 99:59:59,999 is commercials for makeup and household cleaning products and diets?" 16 99:59:59,999 --> 99:59:59,999 It did feel a little bit too obvious, 17 99:59:59,999 --> 99:59:59,999 and I don't know if we were sensitive about it 18 99:59:59,999 --> 99:59:59,999 or the fact that we were watching with men and boys in our lives, 19 99:59:59,999 --> 99:59:59,999 but it did feel a little bit too obvious 20 99:59:59,999 --> 99:59:59,999 that we're being targeted for being women. 21 99:59:59,999 --> 99:59:59,999 And to be honest there's nothing necessarily wrong with that. 22 99:59:59,999 --> 99:59:59,999 Someone sat down and looked at the tournament and said, 23 99:59:59,999 --> 99:59:59,999 "Well, this thing is likely to be seen by more women, 24 99:59:59,999 --> 99:59:59,999 these women are Hispanic because they're watching in Spanish, 25 99:59:59,999 --> 99:59:59,999 and this is women content. 26 99:59:59,999 --> 99:59:59,999 Therefore, this is a great place for me to place all these commercials 27 99:59:59,999 --> 99:59:59,999 that are female-centric and maybe not other things." 28 99:59:59,999 --> 99:59:59,999 If I think about it as a marketer, 29 99:59:59,999 --> 99:59:59,999 I know that I absolutely should not be annoyed about it, 30 99:59:59,999 --> 99:59:59,999 because this is what marketers are tasked with doing. 31 99:59:59,999 --> 99:59:59,999 Marketers are tasked with building brands with very limited budget, 32 99:59:59,999 --> 99:59:59,999 so there's a little bit of an incentive 33 99:59:59,999 --> 99:59:59,999 to categorize people in buckets 34 99:59:59,999 --> 99:59:59,999 so they can reach their target faster. 35 99:59:59,999 --> 99:59:59,999 So if you think about this, 36 99:59:59,999 --> 99:59:59,999 it's kind of like a shortcut. 37 99:59:59,999 --> 99:59:59,999 They're using gender as a shortcut to get to their target consumer. 38 99:59:59,999 --> 99:59:59,999 The issue is that as logical as that argument seems, 39 99:59:59,999 --> 99:59:59,999 gender as a shortcut is actually not great. 40 99:59:59,999 --> 99:59:59,999 In this day and age, if you still blindly use a gender view 41 99:59:59,999 --> 99:59:59,999 for your marketing activities, 42 99:59:59,999 --> 99:59:59,999 actually it's just plain bad business. 43 99:59:59,999 --> 99:59:59,999 I'm not talking even about the backlash on stereotypes in advertising, 44 99:59:59,999 --> 99:59:59,999 which is a very real thing that has to be addressed. 45 99:59:59,999 --> 99:59:59,999 I'm saying it's bad business because you're leaving money on the table 46 99:59:59,999 --> 99:59:59,999 for your brands and your products. 47 99:59:59,999 --> 99:59:59,999 Because gender is such an easy thing to find in the market 48 99:59:59,999 --> 99:59:59,999 and to target and to talk about, 49 99:59:59,999 --> 99:59:59,999 it actually distracts you from the fun things 50 99:59:59,999 --> 99:59:59,999 that could be driving growth from your brands, 51 99:59:59,999 --> 99:59:59,999 and, at the same time, 52 99:59:59,999 --> 99:59:59,999 it continues to create separation around genders 53 99:59:59,999 --> 99:59:59,999 and perpetuating stereotypes. 54 99:59:59,999 --> 99:59:59,999 So at the same time this activity is bad for your business 55 99:59:59,999 --> 99:59:59,999 and bad for society, so double whammy. 56 99:59:59,999 --> 99:59:59,999 And gender is one of those things like other demographics 57 99:59:59,999 --> 99:59:59,999 that have historically been good marketing shortcuts. 58 99:59:59,999 --> 99:59:59,999 At some point, however, 59 99:59:59,999 --> 99:59:59,999 we forgot that at the core we were targeting needs 60 99:59:59,999 --> 99:59:59,999 around cooking and cleaning and personal care and driving and sports 61 99:59:59,999 --> 99:59:59,999 and we just made it all a bucket and we said, "Men and women are different." 62 99:59:59,999 --> 99:59:59,999 We got used to it and we never challenged it again, 63 99:59:59,999 --> 99:59:59,999 and it's fascinating to me 64 99:59:59,999 --> 99:59:59,999 and by fascinating I mean a little bit insane 65 99:59:59,999 --> 99:59:59,999 that we still talk about this as a segment 66 99:59:59,999 --> 99:59:59,999 when it's most likely carryover bias. 67 99:59:59,999 --> 99:59:59,999 In fact, I don't come to this conclusion lightly. 68 99:59:59,999 --> 99:59:59,999 We have enough data to suggest that gender is not the best place 69 99:59:59,999 --> 99:59:59,999 to start for you to design and target your brands. 70 99:59:59,999 --> 99:59:59,999 And I would even go one step further: 71 99:59:59,999 --> 99:59:59,999 unless you are working in a very gender-specific product category, 72 99:59:59,999 --> 99:59:59,999 probably anything else 73 99:59:59,999 --> 99:59:59,999 you're hypothesizing about your consumer right now 74 99:59:59,999 --> 99:59:59,999 is going to be more useful than gender. 75 99:59:59,999 --> 99:59:59,999 We did not set up to draw this conclusion specifically. 76 99:59:59,999 --> 99:59:59,999 We found it. 77 99:59:59,999 --> 99:59:59,999 As consultants, our job is to go with our clients 78 99:59:59,999 --> 99:59:59,999 and understand their business 79 99:59:59,999 --> 99:59:59,999 and try to help them find spaces for their brands to grow, 80 99:59:59,999 --> 99:59:59,999 and it is our belief that if you want to find disruptive growth in the market, 81 99:59:59,999 --> 99:59:59,999 you have to go to the consumer 82 99:59:59,999 --> 99:59:59,999 and take a very agnostic view of the consumer. 83 99:59:59,999 --> 99:59:59,999 You have to go and look at them from scratch, 84 99:59:59,999 --> 99:59:59,999 remove yourself from biases and segments that you thought were important, 85 99:59:59,999 --> 99:59:59,999 just take a look to see where the growth is. 86 99:59:59,999 --> 99:59:59,999 And we built ourselves an algorithm precisely for that. 87 99:59:59,999 --> 99:59:59,999 So imagine that we have a person and we know a person 88 99:59:59,999 --> 99:59:59,999 is making a choice about a product or service, 89 99:59:59,999 --> 99:59:59,999 and from this person, I can know their gender, of course, 90 99:59:59,999 --> 99:59:59,999 other demographics, where they live, their income, other things. 91 99:59:59,999 --> 99:59:59,999 I know the context where this person is making a decision, 92 99:59:59,999 --> 99:59:59,999 where they are, who they're with, 93 99:59:59,999 --> 99:59:59,999 the energy, anything, 94 99:59:59,999 --> 99:59:59,999 and I can also put other things in the mix. 95 99:59:59,999 --> 99:59:59,999 I can know their attitudes, 96 99:59:59,999 --> 99:59:59,999 how they feel about the category, 97 99:59:59,999 --> 99:59:59,999 their behaviors. 98 99:59:59,999 --> 99:59:59,999 So if you imagine this kind of blob of big data about a person, 99 99:59:59,999 --> 99:59:59,999 I'm going to oversimplify the science here 100 99:59:59,999 --> 99:59:59,999 but we basically built an algorithm for statistical tournaments. 101 99:59:59,999 --> 99:59:59,999 So a statistical tournament is like asking this big thing of data, 102 99:59:59,999 --> 99:59:59,999 "So, data, from everything you know about consumers at this point, 103 99:59:59,999 --> 99:59:59,999 what is the most useful thing I need to know 104 99:59:59,999 --> 99:59:59,999 that tells me more about what consumers need? 105 99:59:59,999 --> 99:59:59,999 So the tournament is going to have winners and losers. 106 99:59:59,999 --> 99:59:59,999 The winners are those variables, those dimensions, 107 99:59:59,999 --> 99:59:59,999 that actually teach you a lot about your consumer, 108 99:59:59,999 --> 99:59:59,999 that if you know that, you know what they need, 109 99:59:59,999 --> 99:59:59,999 and there's losing variables that are just not that practical, 110 99:59:59,999 --> 99:59:59,999 and this matters because in a world of limited resources, 111 99:59:59,999 --> 99:59:59,999 you don't want to waste it on people that actually have the same needs. 112 99:59:59,999 --> 99:59:59,999 So why treat them differently? 113 99:59:59,999 --> 99:59:59,999 So at this point, I know, suspense is not killing you, 114 99:59:59,999 --> 99:59:59,999 because I told you what the output is, 115 99:59:59,999 --> 99:59:59,999 but what we found over time 116 99:59:59,999 --> 99:59:59,999 is, after 200 projects around the world, this is covering 20 countries or more, 117 99:59:59,999 --> 99:59:59,999 in essence we ran about a hundred thousand of these tournaments, 118 99:59:59,999 --> 99:59:59,999 and, no surprise, gender was very rarely the most predictive thing 119 99:59:59,999 --> 99:59:59,999 to understand consumer needs. 120 99:59:59,999 --> 99:59:59,999 From a hundred thousand tournaments, 121 99:59:59,999 --> 99:59:59,999 gender only came out as the winning variable 122 99:59:59,999 --> 99:59:59,999 in about five percent of them. 123 99:59:59,999 --> 99:59:59,999 This is true around the world, by the way. 124 99:59:59,999 --> 99:59:59,999 We did this in places where traditional gender roles 125 99:59:59,999 --> 99:59:59,999 are little more pronounced, 126 99:59:59,999 --> 99:59:59,999 and the conclusions were exactly the same. 127 99:59:59,999 --> 99:59:59,999 It was a little bit more important, gender, than five percent, 128 99:59:59,999 --> 99:59:59,999 but not material. 129 99:59:59,999 --> 99:59:59,999 So let's let that sink in for a second. 130 99:59:59,999 --> 99:59:59,999 No matter how you're looking at a consumer, 131 99:59:59,999 --> 99:59:59,999 most likely anything else is going to be more interesting to you than gender. 132 99:59:59,999 --> 99:59:59,999 There's probably something very important you need to know about them, 133 99:59:59,999 --> 99:59:59,999 and you're getting distracted because you're doing everything based on gender. 134 99:59:59,999 --> 99:59:59,999 And that's why I say you're leaving money on the table. 135 99:59:59,999 --> 99:59:59,999 Gender is easy. 136 99:59:59,999 --> 99:59:59,999 It's easy to design advertising based on gender, 137 99:59:59,999 --> 99:59:59,999 it's easy to target people online and on TV based on gender. 138 99:59:59,999 --> 99:59:59,999 But at the end, that's not where the exciting growth will come from. 139 99:59:59,999 --> 99:59:59,999 If you're a food company, for example, 140 99:59:59,999 --> 99:59:59,999 it's actually much more interesting to you 141 99:59:59,999 --> 99:59:59,999 to know where people are eating, 142 99:59:59,999 --> 99:59:59,999 who they are eating with, 143 99:59:59,999 --> 99:59:59,999 are they very nutritionally oriented. 144 99:59:59,999 --> 99:59:59,999 All of those things are actually significantly more powerful and useful 145 99:59:59,999 --> 99:59:59,999 than knowing if a person is a man or a woman. 146 99:59:59,999 --> 99:59:59,999 And that matters, of course, 147 99:59:59,999 --> 99:59:59,999 because then if you're putting your limited budget into action, 148 99:59:59,999 --> 99:59:59,999 then you're better off creating solutions for different occasions 149 99:59:59,999 --> 99:59:59,999 than trying to target women versus young men. 150 99:59:59,999 --> 99:59:59,999 Another example if alcoholic beverages. 151 99:59:59,999 --> 99:59:59,999 Thirty-five percent to 40 percent of consumption in alcoholic beverages 152 99:59:59,999 --> 99:59:59,999 around the world actually happens with women, 153 99:59:59,999 --> 99:59:59,999 but, you know, "women don't drink beer." 154 99:59:59,999 --> 99:59:59,999 Those are the things that we typically hear. 155 99:59:59,999 --> 99:59:59,999 But actually, when a man and a woman are, for the most part, in the same location, 156 99:59:59,999 --> 99:59:59,999 the emotional and functional needs they have at that moment 157 99:59:59,999 --> 99:59:59,999 are very similar. 158 99:59:59,999 --> 99:59:59,999 There's only one exception, by the way, 159 99:59:59,999 --> 99:59:59,999 and the exceptions exist, 160 99:59:59,999 --> 99:59:59,999 where if you have a man and a woman 161 99:59:59,999 --> 99:59:59,999 on a date, 162 99:59:59,999 --> 99:59:59,999 the man is trying to impress the woman 163 99:59:59,999 --> 99:59:59,999 and the woman is trying to connect with the man, 164 99:59:59,999 --> 99:59:59,999 so there's going to be a little bit of tension, 165 99:59:59,999 --> 99:59:59,999 but that's important to know. 166 99:59:59,999 --> 99:59:59,999 We'll take a few dates. 167 99:59:59,999 --> 99:59:59,999 Financial institutions: 168 99:59:59,999 --> 99:59:59,999 that's something where we've heard 169 99:59:59,999 --> 99:59:59,999 a lot about the difference between men and women, 170 99:59:59,999 --> 99:59:59,999 but actually talking about men and women as different 171 99:59:59,999 --> 99:59:59,999 actually is distracting you from the thing that is underneath. 172 99:59:59,999 --> 99:59:59,999 We made it so simple as "women don't like to invest," 173 99:59:59,999 --> 99:59:59,999 "women hate managing their money," 174 99:59:59,999 --> 99:59:59,999 "men are great and aggressive and risk-takers," 175 99:59:59,999 --> 99:59:59,999 but at the end it's not about men and women. 176 99:59:59,999 --> 99:59:59,999 It is actually a different narrative. 177 99:59:59,999 --> 99:59:59,999 It is about, there are people that are excited and energized 178 99:59:59,999 --> 99:59:59,999 and educated to manage their finances 179 99:59:59,999 --> 99:59:59,999 versus people that are not. 180 99:59:59,999 --> 99:59:59,999 So if you change the conversation 181 99:59:59,999 --> 99:59:59,999 from men and women to actually what's underneath 182 99:59:59,999 --> 99:59:59,999 then probably you'll stop being so condescending to women 183 99:59:59,999 --> 99:59:59,999 and you may start serving some men 184 99:59:59,999 --> 99:59:59,999 that are actually shy about managing their finances. 185 99:59:59,999 --> 99:59:59,999 I'll leave one more example. 186 99:59:59,999 --> 99:59:59,999 If I go back to the women that were playing sport at the beginning, 187 99:59:59,999 --> 99:59:59,999 one of the fascinating things we found 188 99:59:59,999 --> 99:59:59,999 over different countries 189 99:59:59,999 --> 99:59:59,999 exploring sportswear 190 99:59:59,999 --> 99:59:59,999 that if a person is a competitive person 191 99:59:59,999 --> 99:59:59,999 and they are in the moment of action, 192 99:59:59,999 --> 99:59:59,999 the needs are not different between a man and a woman. 193 99:59:59,999 --> 99:59:59,999 An athlete is an athlete. 194 99:59:59,999 --> 99:59:59,999 It doesn't matter for men and women, it doesn't matter for old and young, 195 99:59:59,999 --> 99:59:59,999 you are an athlete, 196 99:59:59,999 --> 99:59:59,999 and in the moment of action and extreme competition, 197 99:59:59,999 --> 99:59:59,999 you need this gear to work for you. 198 99:59:59,999 --> 99:59:59,999 So these soccer-playing women have a lot in common with their counterparts. 199 99:59:59,999 --> 99:59:59,999 Out of the field, it doesn't matter. 200 99:59:59,999 --> 99:59:59,999 Out of the field, they may be into fashion, into other things, 201 99:59:59,999 --> 99:59:59,999 but on the field, 202 99:59:59,999 --> 99:59:59,999 the needs are not different. 203 99:59:59,999 --> 99:59:59,999 So these are just a few examples on categories where we found 204 99:59:59,999 --> 99:59:59,999 that gender was not the best place to go, 205 99:59:59,999 --> 99:59:59,999 and actually the argument is that 206 99:59:59,999 --> 99:59:59,999 at this point it's not even a feminist push, 207 99:59:59,999 --> 99:59:59,999 it's just we got used it. 208 99:59:59,999 --> 99:59:59,999 We got used to using gender, 209 99:59:59,999 --> 99:59:59,999 and it's important for us to start finding ways 210 99:59:59,999 --> 99:59:59,999 to measure other things about consumers 211 99:59:59,999 --> 99:59:59,999 so that we don't revert back to gender. 212 99:59:59,999 --> 99:59:59,999 I am not naïve, 213 99:59:59,999 --> 99:59:59,999 and I know there's still going to be appetite 214 99:59:59,999 --> 99:59:59,999 and certain ease around using gender, 215 99:59:59,999 --> 99:59:59,999 but at least this warrants conversation. 216 99:59:59,999 --> 99:59:59,999 In your business, you have to inquire, 217 99:59:59,999 --> 99:59:59,999 is this really the best lens for me to grow. 218 99:59:59,999 --> 99:59:59,999 So, if you are, like me, a person that is in business 219 99:59:59,999 --> 99:59:59,999 that I am constantly worried about what is my role 220 99:59:59,999 --> 99:59:59,999 in the broader societal discussions, 221 99:59:59,999 --> 99:59:59,999 if you're listening to your business 222 99:59:59,999 --> 99:59:59,999 and you hear things like, 223 99:59:59,999 --> 99:59:59,999 "Oh, my target are women, my target are men, 224 99:59:59,999 --> 99:59:59,999 this goes to young girls, young boys," 225 99:59:59,999 --> 99:59:59,999 when it's that gender conversation, 226 99:59:59,999 --> 99:59:59,999 unless you are working, again, 227 99:59:59,999 --> 99:59:59,999 in a very specific, gender-specific product category, 228 99:59:59,999 --> 99:59:59,999 take this as a warning sign, 229 99:59:59,999 --> 99:59:59,999 because if you keep having these conversations, 230 99:59:59,999 --> 99:59:59,999 you will keep perpetuating stereotypes of people 231 99:59:59,999 --> 99:59:59,999 and making people think that men and women are different. 232 99:59:59,999 --> 99:59:59,999 But because this is business, and we're running a business 233 99:59:59,999 --> 99:59:59,999 and we want to grow it, 234 99:59:59,999 --> 99:59:59,999 at least kind of challenge your own instinct to use gender, 235 99:59:59,999 --> 99:59:59,999 because statistics say that you're probably not choosing the best variable 236 99:59:59,999 --> 99:59:59,999 to target your product or service. 237 99:59:59,999 --> 99:59:59,999 Growth is not easy at all. 238 99:59:59,999 --> 99:59:59,999 What makes you think that growth is going to come 239 99:59:59,999 --> 99:59:59,999 from going into market with such an outdated lens like gender? 240 99:59:59,999 --> 99:59:59,999 So let's stop doing what's easy and go for what's right. 241 99:59:59,999 --> 99:59:59,999 At this point, it's not just for your business, it's for society. 242 99:59:59,999 --> 99:59:59,999 Thank you. 243 99:59:59,999 --> 99:59:59,999 (Applause)