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Thanks for reading or listening to the episode! I think that is the hardest question, what to optimize for. Jason mentions that facebook employs social scient
by agbell 6y ago
Thanks for reading or listening to the episode!
I think that is the hardest question, what to optimize for. Jason mentions that facebook employs social scientists who help set what the value is they are optimizing for.
> I don’t work on the social science part of it. We try to optimize and we do it on good faith that the goals we’re optimizing for are good faith goals. But I’ve been in enough of the meetings to see the intent is really a good intent. It’s just a thing that’s very difficult to quantify.
> But I do think that the intent is to provide that value. And I do think that they would trade some of the margin for the value in a heartbeat.
- dbtc 6y agoNot profit? I thought it was for profit.
- alexbeloi 6y agoAds optimizes for profit, all other content is broadly optimized for meaningful social interaction and against problematic content. https://www.facebook.com/business/news/news-feed-fyi-bringing-people-closer-together https://www.facebook.com/business/news/news-feed-fyi-bringin... https://about.fb.com/news/2019/04/remove-reduce-inform-new-steps/ https://about.fb.com/news/2019/04/remove-reduce-inform-new-s...
- disgruntledphd2 6y agoAds 100% does not optimise for profit. Source: I had a bunch of long conversations with FB Ads engineers about what they optimise for. I believe that it's a weighted sum over conversions, which seems like a better metric for an ads system (FB could increase profit in the short term by implementing price floors, but this wouldn't lead to more long term revenue, because advertisers would stop using the platform).
- alexbeloi 6y agoI was oversimplifying, but I stand by my words. It does optimize for profit, just with extra steps. For most FB ads products (that you see in feed), advertisers pay based on conversions (views, clicks, likes, joins, purchases, etc.). So revenue is directly tied to conversions. Then there are extra steps weighing in revenue != profit, advertiser retention, repetitiveness, long term user value, etc.