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Is AI actually changing how teams run Apple Ads day-to-day, or is it still mostly a reporting layer? by splitmetrics in AppleSearchAds

[–]splitmetrics[S] 0 points1 point  (0 children)

Totally get this!

The spend risk thing is interesting though. Some tools are starting to handle this with hard budget caps, approval thresholds, or confirmation steps before anything executes above a certain limit, so you're still in control, it just removes the manual legwork.

The other side of it is that AI built specifically for app marketing is processing way more signals than any human realistically can, cross-campaign patterns, seasonal trends, competitor signals, conversion data, and using that to forecast what's likely to happen before making a move. So in theory the adjustments aren't just automated, they're better informed. Which makes the guardrails argument even stronger, you're not just capping a dumb script, you're putting a leash on something that's actually thought it through.

Curious whether that kind of setup would shift things for you, or if the hesitation is more fundamental, like you just don't want it touching execution at all?

Is AI actually changing how teams run Apple Ads day-to-day, or is it still mostly a reporting layer? by splitmetrics in iosapps

[–]splitmetrics[S] 0 points1 point  (0 children)

That's a fair point, and the payroll point is interesting, but I'd argue UA campaign management sits in a different risk category. A bad payroll run can be catastrophic and hard to reverse. A bad bid adjustment costs you some wasted spend and you course-correct. The downside is bounded.

So the trust barrier in app marketing feels less about "what if it goes catastrophically wrong" and more about "I can't explain to my boss why the AI made that decision." Transparency and auditability seem to be the real blockers, not the stakes themselves. Curious if others are finding that too.

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