Why Targeting Doesn't Matter with Ads (Go Big or Go Home)
2 Feb 2024 · 1 min

0:31
Nick Fisher argues against heavy audience targeting for ads and instead advocates using large, broad audiences combined with tailored creative. He says that when large-scale machine-learning algorithms have rich data, advertisers should rely on them rather than over-engineering manual targeting; he notes pixel-tracking limitations have reduced some past advantages but still supports the wide-audience approach.










