{"id":4208,"date":"2022-12-15T01:22:35","date_gmt":"2022-12-15T06:22:35","guid":{"rendered":"https:\/\/advertisingweek.com\/aw360\/2022\/12\/15\/who-will-mourn-the-end-of-gender-targeting-in-advertising\/"},"modified":"2022-12-15T01:22:35","modified_gmt":"2022-12-15T06:22:35","slug":"who-will-mourn-the-end-of-gender-targeting-in-advertising","status":"publish","type":"post","link":"https:\/\/advertisingweek.com\/aw360\/news\/who-will-mourn-the-end-of-gender-targeting-in-advertising\/4208\/","title":{"rendered":"Who Will Mourn the End of Gender Targeting in Advertising?"},"content":{"rendered":"\n

By Nikky Hudson, Head of Product – Data & Programmatic Services\u00a0 <\/em><\/p>\n\n\n\n\n\n

Since the birth of programmatic, laser-focused audience targeting has been the name of the game. But as the clich\u00e9 goes, with great power comes responsibility. And from environmental impacts to user privacy, we are arguably only now starting to take full account of that. Meanwhile, further potential side effects of people-based targeting are still coming to light.<\/p>\n\n\n\n\n\n\n\n

Movements such as #metoo have shone a light on discrimination and misconduct across several industries \u2013 advertising among them. There have also been moves to clamp down on lingering stereotypes in creative, most prominently by the ASA. But what about planning and buying? Have we seen the same scrutiny around audience assumptions, many of which date back for decades? And have machine learning and algorithms exacerbated the problem, or are they simply a reflection of the status quo, in a shiny new context?<\/p>\n\n\n\n\n

Facebook Ads and ‘Legal Skirmishes’<\/strong><\/h2>\n

It is perhaps less well known in the UK than the US, but stateside, discrimination cases around Facebook ads date back to 2016 \u2013 specifically around its jobs and properties offerings. In that year, ProPublica<\/a> revealed that it allowed advertisers to exclude people from such ads, based on \u201cgender, age, or other protected characteristics.\u201d It was only in 2019, and \u201cseveral legal skirmishes\u201d later that this feature was removed.<\/p>\n\n\n\n\n\n

In 2021 NGO Global Witness<\/a> research found that 96% of impressions for a UK Facebook ad for mechanics were served to men, 95% of one for nurses to women. Employment lawyer Schona Jolly QC stated a \u201cstrong suspicion that Facebook has acted, and continues to act, in violation of the Equality Act 2010.\u201d Similar research from the University of Southern California found the same bias<\/a>, though this was not reflected in campaigns run on LinkedIn. Which puts the lie to the argument that technology and automation are the root of the problem here.<\/p>\n\n\n\n\n\n\n\n

In yet another example, just a few weeks ago Northeastern\u2019s Khoury College of Computer Sciences found even more issues<\/a> with how Facebook ads are algorithmically targeted, depending on people depicted in images used in the creative. Including the following: \u201cads featuring young women were delivered disproportionately to older men.\u201d Clearly, this problem is not going away anytime soon.<\/p>\n\n\n\n\n

30% Less Impact Among Women<\/strong><\/h2>\n

However, before we assume that the problem of gender discrimination in media buying is limited to tech giants alone, we should have a good look at the wider display and agency mirror.<\/p>\n\n\n\n\n\n

In agency land, the newest research on this topic is already a few years old \u2013 which tells a story in itself. But from what we do know, Kantar<\/a> suggests that, despite both genders being equal \u2018main buyer\u2019 for households across most product categories, almost all (99%) of UK ads for laundry products are targeted at women, while 70% of ads for toiletries and food products are aimed at women.<\/p>\n\n\n\n\n\n\n\n

Not only does this betray obviously outdated views \u2013 as Kantar points out, they\u2019re also just simply inaccurate. Such decisions also unavoidably and unquestionably also mean less success with consumers. Little surprise then that in the year the research was produced, ads were said to generate almost 30% less impact among women than men.<\/p>\n\n\n\n\n\n\n\n

On a wider level, gender as a targeting proxy is rarely a true representation of someone\u2019s spending habits. This is truer now than ever: for example, Harry Styles has launched gender-neutral make-up and nail varnish brand, Pleasing<\/a>. Also, Brighton and Hove Albion experienced a 55%<\/a> boom in girls signing up for football sessions following the Lionesses\u2019 Euros success.<\/p>\n\n\n\n\n\n\n\n

In short, preconceived ideas of gendered purchasing habits have never been less useful for marketers. Kantar says that \u2018gender balanced\u2019 brands are worth more than female-skewed brands, and<\/p>\n\n\n\n\nmuch more<\/u>\n\n\n

As most know at this point, structural change is the order of the day, with an estimated 40-60% of all impressions no longer targetable, for the simple reason they appear on Apple devices. To add to this, MIT research<\/a> has shown that cookies reportedly only recognise user gender correctly 50% of the time. So, even in the face of all the above evidence, if you still believe gender targeting based on unproven audience assumptions has a role to play, you must also accept the tools to enact it are no longer fit for purpose.<\/p>\n\n\n\n\n\n\n\n

Of course, beyond the cookie itself, there is an abundance of cookie-like post-cookie solutions to choose from \u2013 whether based on email addresses, fingerprinting or other forms of profiling. But even they, for all their innovation, fail to address the elephant in the room \u2013 just as audience targeting and the advertising and agency world at large have also failed to do.<\/p>\n\n\n\n\n\n\n\n

The very act of binary gender targeting is hopelessly out of date. Will the ID solutions and CDPs ever offer a \u2018they\/them\u2019 audience attribute alongside he and she? If they aren\u2019t already, it\u2019s probably a fair sign they will never catch up with the present.<\/p>\n\n\n\n\n\n\n\n

Right there is the killer argument \u2013 if more were needed \u2013 were gender targeting to disappear completely tomorrow, none of us should mourn. We would be better off as an industry.<\/p>\n","protected":false},"excerpt":{"rendered":"

The very act of binary gender targeting is hopelessly out of date. 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