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$700bn delusion - Does using data to target specific audiences make advertising more effective?
$700bn delusion - Does using data to target specific audiences make advertising more effective?
Being broadly effective, but somewhat inefficient, is better than being narrowly efficient, but less effective.
Targeting can increase the scale of effects, but this study suggests that the cheaper approach of not targeting so specifically, might actually deliver a greater financial outcome
As Wiberg’s findings point out, the problem with targeting towards conversion optimisation is you are effectively advertising to many people who were already going to buy you.
If I only sell to IT decision-makers, for example, I need some targeting, as I just can’t afford to talk to random consumers. I must pay for some targeting in my media buy, in order to reach a relatively niche audience.  Targeting is no longer a nice to do, but a must have. The interesting question then becomes not should I target, but how can I target effectively?
What they found was any form of second or third-party data led segmenting and targeting of advertising does not outperform a random sample when it comes to accuracy of reaching the actual target.
Contextual ads massively outperform even first party data
We can improve the quality of our targeting much better by just buying ads that appear in the right context, than we can by using my massive first party database to drive the buy, and it’s way cheaper to do that. Putting ads in contextually relevant places beats any form of targeting to individual characteristics. Even using your own data.
The secret to effective, immediate action-based advertising, is perhaps not so much about finding the right people with the right personas and serving them a tailored customised message. It’s to be in the right places. The places where they are already engaging with your category, and then use advertising to make buying easier from that place
Even hard, sales-driving advertising isn’t the tough guy we want it to be. Advertising mostly works when it makes things easier, much more often than when it tries to persuade or invoke a reluctant action.
Thinking about advertising as an ease-making mechanism is much more likely to set us on the right path
If your ad is in the right place, you automatically get the right people, and you also get them at the right time; when they are actually more interested in what you have to sell. You also spend much less to be there than crunching all that data
·archive.is·
$700bn delusion - Does using data to target specific audiences make advertising more effective?
Tiktok’s enshittification (21 Jan 2023) – Pluralistic: Daily links from Cory Doctorow
Tiktok’s enshittification (21 Jan 2023) – Pluralistic: Daily links from Cory Doctorow
it is a seemingly inevitable consequence arising from the combination of the ease of changing how a platform allocates value, combined with the nature of a "two sided market," where a platform sits between buyers and sellers, holding each hostage to the other, raking off an ever-larger share of the value that passes between them.
Today, Marketplace sellers are handing 45%+ of the sale price to Amazon in junk fees. The company's $31b "advertising" program is really a payola scheme that pits sellers against each other, forcing them to bid on the chance to be at the top of your search.
Search Amazon for "cat beds" and the entire first screen is ads, including ads for products Amazon cloned from its own sellers, putting them out of business (third parties have to pay 45% in junk fees to Amazon, but Amazon doesn't charge itself these fees).
This is enshittification: surpluses are first directed to users; then, once they're locked in, surpluses go to suppliers; then once they're locked in, the surplus is handed to shareholders and the platform becomes a useless pile of shit.
This made publications truly dependent on Facebook – their readers no longer visited the publications' websites, they just tuned into them on Facebook. The publications were hostage to those readers, who were hostage to each other. Facebook stopped showing readers the articles publications ran, tuning The Algorithm to suppress posts from publications unless they paid to "boost" their articles to the readers who had explicitly subscribed to them and asked Facebook to put them in their feeds.
Today, Facebook is terminally enshittified, a terrible place to be whether you're a user, a media company, or an advertiser. It's a company that deliberately demolished a huge fraction of the publishers it relied on, defrauding them into a "pivot to video" based on false claims of the popularity of video among Facebook users. Companies threw billions into the pivot, but the viewers never materialized, and media outlets folded in droves:
These videos go into Tiktok users' ForYou feeds, which Tiktok misleadingly describes as being populated by videos "ranked by an algorithm that predicts your interests based on your behavior in the app." In reality, For You is only sometimes composed of videos that Tiktok thinks will add value to your experience – the rest of the time, it's full of videos that Tiktok has inserted in order to make creators think that Tiktok is a great place to reach an audience.
"Sources told Forbes that TikTok has often used heating to court influencers and brands, enticing them into partnerships by inflating their videos’ view count.
"Monetize" is a terrible word that tacitly admits that there is no such thing as an "Attention Economy." You can't use attention as a medium of exchange. You can't use it as a store of value. You can't use it as a unit of account. Attention is like cryptocurrency: a worthless token that is only valuable to the extent that you can trick or coerce someone into parting with "fiat" currency in exchange for it.
The algorithm creates conditions for which the necessity of ads exists
For Tiktok, handing out free teddy-bears by "heating" the videos posted by skeptical performers and media companies is a way to convert them to true believers, getting them to push all their chips into the middle of the table, abandoning their efforts to build audiences on other platforms (it helps that Tiktok's format is distinctive, making it hard to repurpose videos for Tiktok to circulate on rival platforms).
every time Tiktok shows you a video you asked to see, it loses a chance to show you a video it wants you to se
I just handed Twitter $8 for Twitter Blue, because the company has strongly implied that it will only show the things I post to the people who asked to see them if I pay ransom money.
Compuserve could have "monetized" its own version of Caller ID by making you pay $2.99 extra to see the "From:" line on email before you opened the message – charging you to know who was speaking before you started listening – but they didn't.
Useful idiots on the right were tricked into thinking that the risk of Twitter mismanagement was "woke shadowbanning," whereby the things you said wouldn't reach the people who asked to hear them because Twitter's deep state didn't like your opinions. The real risk, of course, is that the things you say won't reach the people who asked to hear them because Twitter can make more money by enshittifying their feeds and charging you ransom for the privilege to be included in them.
Individual product managers, executives, and activist shareholders all give preference to quick returns at the cost of sustainability, and are in a race to see who can eat their seed-corn first. Enshittification has only lasted for as long as it has because the internet has devolved into "five giant websites, each filled with screenshots of the other four"
policymakers should focus on freedom of exit – the right to leave a sinking platform while continuing to stay connected to the communities that you left behind, enjoying the media and apps you bought, and preserving the data you created
technological self-determination is at odds with the natural imperatives of tech businesses. They make more money when they take away our freedom – our freedom to speak, to leave, to connect.
even Tiktok's critics grudgingly admitted that no matter how surveillant and creepy it was, it was really good at guessing what you wanted to see. But Tiktok couldn't resist the temptation to show you the things it wants you to see, rather than what you want to see.
·pluralistic.net·
Tiktok’s enshittification (21 Jan 2023) – Pluralistic: Daily links from Cory Doctorow