The Five Most Key Takeaways from This Blog Post
- A.I. is making it easier to differentiate advertisements to fit on a wealth of different platforms and audiences.
- The key technology that allows this to happen is generative A.I., which can create “from scratch” content across many mediums.
- One company that is offering this technology to a large number (reportedly, approximately 5,000) of clients is Creatopy.
- The mind-boggling number of media channels through which information, entertainment, infotainment, and other what-have-you media content, are delivered to consumers is connected to the drive to
- Business owners interested in this technology should be aware of the pitfalls of generative A.I. (In other words, do not sign off on sending out ads without a human-led review of the A.I.)
Prolific and Productive
In the simpler days of advertising past, it was thought that the one-size-fits-all advertisements–seen on billboards, prime-time-TV time-slots, subways, and other spots half-attentive consumers’ eyes may dreamily roam to–were, indeed, effective on a mass audience.
Nowadays, whether a business subscribes to that one-size-fits-all idea or not, a new emerging technology has made it possible to create a wealth of variations on the same advertisement, repetition with a difference.
Generative A.I.: The Key Technology
Generative A.I. has been seeing unprecedented acceleration in progress the past few years.
Companies in many places around the world are creating gen-A.I. platforms, which are clearly able to provide a remarkable boost to the efficiency of businesses in their advertising efforts.
Creatopy: a Paragon of the A.I.-Generated-Ads Industry
When this writer writes that companies around the world are joining the generative-A.I. race, that is not exaggeration: Creatopy was founded in Romania.
Now, it has thousands of clients that pay for A.I.-generated iterations on advertisements.
These ads will go to a wide range of media environments, through different channels to meet each unique user.
So Many Choices, and Even More Advertisements
So, why bother with all this differentiation?
The fact of the matter is that even slight differences in the content of advertisements can change their effectiveness.
Earlier in this blog post is the phrase “repetition with a difference”. Performance theory is to thank for the concept termed “Repetition with a difference”, which suggests that all behavior is twice-behaved, unoriginal at heart.
For example, consider the eye-roll some people like to do when someone says something the eye-roller thinks is ridiculous. That is an eye-roll that was likely seen on the face of a parent, or TV actor, or fellow classmate. Whoever “taught” it to the eye-roller, probably learned it from someone else.
Imagine that you can trace a particular instance of an eye-roll from your life all the way back to the first human eye-roll that someone else noticed and copied. Then consider the massive-yet-countable number of eye-rolls there have likely been throughout human history, and you will get the picture.
Think of the original advertisement as something like the first eye-roll that is then repeated, with a difference, to many different “audiences”.
Even if the underlying message of the ad is largely the same–just as the underlying message of most eye-rolls is “that’s ridiculous”–, the difference is what makes the message effective.
Consider the for-instance case of middle-school students’ reaction to the most popular kid in middle school eye-rolling at something the teacher said, and the least-popular kid doing the eye-roll. In most cases, whose eye-roll would get the most currency?
By the same token, the differentiated ad is meant to have a successful reception among a subset of the target market that is thought will positively receive the differentiated aspects.
For instance, the color red being more prominent in the ad may lead to a better reception from a certain subset of the target market, and so on.
The Final Key Takeaway: Don’t Turn The Human Eye Away
Just as a reminder, it is always wise to have a human review the output of a generative A.I. platform.
The large snafus involve misinformation and use of copyrighted materials and deepfakery, but what also matters is that sometimes generative A.I. will create something that looks awkward or bad.
For these reasons and other good ones, it is always wise to review A.I.’s generations.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on A.I. technologies of interest to business owners, with especial focus on the impact this tech will have on commerce as a whole.
On a usual week, there are multiple GO AI blog posts going out. Here are some notable recent articles:
- For Businesses and Other Organizations, What Makes a Successful Chatbot?
- IBM Watson vs. ChatGPT vs. Gemini: How Will Each Affect Search Engines?
- Using A.I. to Find Resources for Business Owners
- How Would Restricting Open-Source A.I. Affect Business Owners?
- The EU’s A.I. Act Has Become Law: The Implications for Business Owners (Especially American)
In addition to our GO AI blog, we also have a blog that offers important updates in the world of search engine optimization (SEO), with blog posts like “Google Ends Its Plan to End Third-Party Cookies”.
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