AI automatically optimizes ads and will be the future of ad placement.

Recently, I saw a lot of advertisers saying that meta's Advantage+ Shopping Campaign (ASC) is performing very well, so those who have placed ads should pay attention to it.

ASC is based on machine learning to simplify and optimize the ad placement process, and can measure up to 150 combinations of ad materials at a time, pushing the best-performing materials to the most valuable potential consumers.

But currently ASC is not available to all advertising accounts, and should only be open to some of the more mature numbers that buy and convert pixels. After that meta will be open to all.

Through ASC, brand independent stations can just feed advertising material and to meta. meta big data automatically helps you find potential customers who are likely to convert.

I swiped a lot of ad-related Facebook and Twitter today, and my feeling is that ASC is the most valuable change of meta after Apple's ios 14 privacy policy.

If you have an ASC on your ad account, I recommend trying it out. Put in some of your best ad material from past ROAS and see the conversion effect.

I put my 3-4 year old ad material with thousands of likes into ASC, and the material came back to life immediately, with a CPM of less than $20 in the US market in the past two days, with better conversions than other types of campaigns.

The cool thing about doing meta advertising is that as long as you have a strong product + material, you can always recycle and reuse it, and when the results are good, you can open it up to a single.

Good advertising material is worth the continued investment, and in the future, it will be even more critical.

I would never use AI to optimize any paid ads. AI sometimes (or even quite often) tells me that the fastest way to get from London to New York is by cycling. Such a goof up in ad copy would almost certainly result in a large number of irrelevant clicks, increasing ad spends and resulting in lower conversions and a poor "user" (website visitor) experience. And if the same goes spiraling, ad quality scores get impacted in a negative way, thereby further increasing CPCs and ad spends.
And obviously, as we all already know, various industries work hand-in-hand, behind the scenes. Google is the king of internet technology as far as revenues go and Google Ads is the king of revenues as far as Google goes. So, a company like Google would quite obviously "gang up" with such AI optimizing platforms, in order to "optimize" ads in such a way that Google Ads' revenues keep increasing and Google sharing some chunky "grease" with such AI optimizing platforms.
But, nonetheless, such AI optimizing platforms are good for those who can only create ad copies such as : "You buy discount today, as product very good move fast", instead of something like "You can buy at a discounted price today because the product is excellent; act quickly", because atleast the grammar would be correct, although the facts may be goofed up.
In "The fastest way to get from London to New York is by cycling", the grammar is perfect, but the fact stated is a goof up that would result in a disaster if something similar is mentioned in an ad copy (as explained in the 1st paragraph of this reply).