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This is remarkably sketchy math and completely ignorant of the actual ecosystem. Also, it basically says it has no point by the end so, wtf? vox.com/platform/amp/recode/2019/6/24/18715421/internet-free-data-ads-cost?__twitter_impression=truePermalink On twitter.com
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Mood -7 🙁
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It doesn't account for infrastructure platforms like exchanges, analytics platforms, DMPs (the things that actually store your user data), and a host of various other services that take in money from the middle of the ecosystem.Permalink On twitter.com
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Mood +2 🙂
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Also, estimates put fraud at $20 billion annually. Though that may be low. digiday.com/media/daily-hourly-fight-digital-ad-fraud-worse-ever/Permalink On twitter.com
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Mood -4 🙁
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Also, the whole point of user data is that some users have more value in ad impressions than others. Also, not everyone consumes the same number of ads on the same sites. Also, like... we're not even getting into sketch companies that make money on actually selling user data.Permalink On twitter.com
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Mood +2 🙂
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If the number is lower or higher isn't even useful to the discussion anyway. The months leading up to your pregnancy would involve more people bidding to show you ads at higher rates than the month you worked normal weeks and read paper books at home.Permalink On twitter.com
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Mood +4 🙂
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The problem is complicated and deserving of real explanation. Oversimplification hurts our capacity to have real useful discussions.On twitter.com
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Mood -4 🙁
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I applaud the intention. But a lot of good reporters are doing detailed work breaking this down. Perhaps build on their foundation and not just basic math for an explainer.Permalink On twitter.com
Mood +5 🙂
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If you want to break ground with math, most of the ad tech world is funded with reported VC numbers and documented M&A amounts. Why not add those in?Permalink On twitter.com
Mood +1 🙂