AI with Media Campaigns: A Great Combination for Businesses

AI with Media Campaigns – Artificial intelligence, and its associated machine learning technology, are transforming businesses. The arrival of commercially available internet is the only thing that comes close. No other technology has such vast use cases and application ranges in the business world like Google Duplex AI. AI systems can apply to and improve virtually any business process.

AI with Media Campaigns

AI with Media Campaigns

From automating bill payments for Cox packages to monitoring business processes for bottlenecks, AI can do it all. Therefore, it is unsurprising that AI is now creeping into advertising as well. Specifically in helping businesses craft and manage media campaigns for better success.

Do you feel your media and advertising efforts could use a boost? Even if you’re doing well enough right now, the correct use and deployment of AI could improve that. You should at least start using AI to measure and track advertising performance for greater success. Read on to discover how you can leverage AI tech in your media and advertising campaigns.

AI and How It Enhances Advertising and Media Campaigns

Artificial intelligence is a concept that has been around for many decades. However, until recently, the technology to support it did not exist. Later, the tech needed for testing and developing AI systems was not always accessible. It was either too primitive or simply not cost-effective for realistic use. Of course, more powerful processors, cloud computing, and SaaS popularity have made things a lot easier.  

Most of us use AI in our daily lives, even if it is often invisible. From Samsung’s Bixby virtual assistant to Apple’s Siri, AI helps make our lives a lot easier. Even Google’s search engine is a powerful AI that we use daily. AI isn’t the robotic death machine envisioned in the Terminator franchise.

Instead, it is a piece of code or an algorithm. But unlike a standard algorithm, AI algorithms get smarter as they process more data.

This machine learning ability allows it to improve and start handling tasks with minimal human supervision. Based on the twin advantages of automation and learning, AI has very unique uses in a business advertising function. These currently include:

Major Advertising Platforms

Advertising space, like any other marketing real estate, is rarely free. Every credible platform has to manage advertising space. Platforms, from TV networks to social media sites, earn the most revenues from their advertising space.

Of course, depending on the platforms you choose, there are always limitations to advertising. The biggest, by far, is that you’re likely not the only brand trying to push your ad to a given audience. There are likely to be many others. Some would be direct competitors, while others could be completely unrelated businesses.

These platforms welcome brands and advertisers and generate major revenue streams in the process. However, they still have to consider the viewer or user side. Too many ads can quickly become an annoyance.

A disruptive experience will drive users or viewers away from a social media platform or a TV network. And in trying to maximize ad revenue, the platform ends up alienating the people the ads are meant for. Therefore, these platforms carefully regulate the buying or selling of ad time.

This regulatory function is where AI offers a lot of value to advertisers. Of course, no platform is likely to share its proprietary algorithm with you. But that doesn’t change the fact that the AI algorithm is largely responsible for everything behind the scenes.

It decides how your budget is spent, what ads you run, and who sees them. In essence, the algorithm decides how successful your campaigns will be.

Therefore, it would be worth your while to experiment with Facebook ads, Instagram ads, and Snapchat ads.

Better Ad Budget Spend and ROI

Of course, the use of AI isn’t limited to platforms offering advertising space. There are several AI tools designed from the advertiser’s perspective. In any advertising campaign, there will always be two major concerns. How you spend the budget, and how much return each dollar spent generates.

In other words, businesses focus on optimizing their advertising budget for the best possible results. Many advertising tools contain AI components that can help with this extensively.

These tools process any data you can feed them about ad spending, targeting, and campaign results. The AI then analyzes all this information to determine the right actions that can generate the best possible results. These data-backed insights can offer a great deal of precision to your advertising campaigns.

You can refine your spending and target for the best results. And the campaign performance metrics help you to tweak and improve campaigns for even better performance.

Certain tools go beyond simply optimizing spending and measuring results. They can even help you with social listening, competitor analysis, and other insights to find new audiences and markets.

Create and Manage Ad Content

Creative advertising has conventionally been a human domain. The underlying belief that an AI is incapable of creativity seems to support this. True, AI systems are not yet advanced enough (or accessible enough) to create original works of art, poetry, or literature.

This may or may not change soon. But the real use of AI in this instance is in working in tandem with human creatives. In other words, AI can help streamline the creative process in synergy with content creators.

This is a direct result of both AI and ML. AI systems can learn and execute repetitive tasks on their own. This allows them to free up human creative workers from tasks that consume too much time. Instead of being tied down to tasks that the AI can manage, humans can focus on tasks only they can do.

This leaves them with more time to invest in creating better visuals and stronger campaigns. Indirectly, AI helps ad creators deliver better performance and meet tighter deadlines. All while increasing the quality of ad content and potentially the associated results.

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