I worked on behalf of clients like Macy’s, British Airways, Pfizer, Smuckers, Microsoft, Home Depot and dozens more, helping them serve ads to their valued customers or trying to recruit new ones

Keywords: tech , ad tracking , programmatic , social dilemma , social media

If all this just sounds cynical, you haven’t been paying attention. And I don’t blame you. It’s not something that necessarily warrants delving into because it’s become such a pedestrian part of life. Maybe being so close to it every day has made me desensitized to regulary putting values on human attention. There are certainly days when I sit in meetings and it takes every fiber of my being not to yell out “What the HELL are we even talking about? Are we seriously arguing over the watch time of a YouTube ad for toilet paper?” The sad answer is yes. Because that completion rate equates to more revenue for the advertiser, the agency, the publisher, Wall Street, shareholders and every hand involved. It’s billions of dollars and it won’t go away quietly.

https://observeandrapport.com/2020/09/23/the-ad-tracking-dilemma-what-six-years-in-digital-advertising-taught-me-and-what-you-need-to-know-about-it

Are Google + Facebook good platforms for AB testing specific wordings — is this lead magnet better than that lead magnet, this service, that service? (just to see what people are clicking on)

Keywords: business foundations , podcast , new idea , validate your idea , validating

Anna Lundberg raises an interesting issue with respect to AB tests.

She suggests that startup entrepreneurs should make estimates in order to validate their ideas, or as support in order to provide some sort of evidence by way of metrics for a “proof of concept”:

AB test specific wording, is this lead magnet better than that lead magnet, this service, that service, just to see what people are clicking on.

https://onestepoutside.com/episode-78-validating-your-idea

Are Google and/or Facebook (and / or other such advertising platforms) good indicators to prove a concept? I am quite skeptical — let me remind you that such data analyses were very widespread about 4 years ago… but they were also very wrong: Clinton lost to Donald Trump.