Where To Begin?; Adthropic vs. AdGPT | AdExchanger
Briefly

Where To Begin?; Adthropic vs. AdGPT | AdExchanger
"Apple Ads, for instance, are expensive. But a small developer can still buy a handful of keywords and run them low and slow. Their app might not grow much, but the budget stays manageable. You can learn a lot on just a few hundred or a couple of thousand dollars over a few weeks - money that would mostly be wasted on Meta, which needs far more data to optimize."
"AI Ad-versaries Have you seen Anthropic's Super Bowl assuring users that Claude will remain ad-free? (An ad promising no ads - the irony wasn't lost on us, either.) But whether that's the flex Anthropic thinks it is remains a point of contention. Consumer feedback was largely positive, calling the ads a " " tactic that will lead to " impressive " ROI. But others pushed back, arguing that good ads can enhance UX and that Claude lacks " understanding of the commercial consumer .""
No single advertising channel fits all businesses; go‑to‑market style determines which ad platforms perform best. Apple Ads are expensive but allow small developers to buy a few keywords and run low-budget tests to learn with a few hundred to a couple thousand dollars, while Meta requires far more data to optimize. Focus resources on one or two channels instead of spreading budgets across Google, Meta, Apple and TikTok. Smaller platforms like Snapchat, Reddit and X make sense only after major-channel scale or significant influencer investment. Anthropic ran a Super Bowl ad promising an ad-free Claude and drew mixed reactions. An ERC-funded study finds AI-generated code often relies on open-source frameworks without contributing back, stressing funding and maintenance needs.
Read at AdExchanger
Unable to calculate read time
[
|
]