Maria is an experienced marketing professional in both B2C and B2B spaces. She’s earned certifications in inbound marketing, content marketing, Google Analytics, and PR. Her favorite topics include digital marketing, social media, and AI. When she’s not immersed in digital marketing and writing, she’s running, swimming, biking, or playing with her dogs.
Fun fact: Among the U.S.-based marketers we surveyed, 50% already use AI for their campaigns.
Want your ads to reach the right audience? Improved ad targeting is one of the benefits of using AI advertising.
AI algorithms can analyze your digital ads’ performance and tweak ad placements and bids. As a result, you reach your target audience with the ad most relevant to them.
With machine learning algorithms capable of rapidly analyzing your ad campaigns’ performance, you can make informed decisions when you develop your next ad campaigns. Faster ad performance analysis also lets you pivot your advertising strategies if needed.
AI algorithms can analyze large amounts of ad performance data and answer these questions — and more — so you can optimize your ad campaigns. It can also create charts that report on your ad campaign’s performance and draw out insights, enabling you to improve your strategies and campaigns. As a result, your return on investment (ROI) also increases.
The challenges of AI in advertising
Now that we’ve gone through the benefits of using AI in advertising, let’s go through the potential challenges you’ll face when using AI in advertising:
When discussing AI, it’s inevitable not to talk about data privacy. That’s because AI can collect and analyze advertising campaign data.
Businesses must take extra precautions, as AI systems may inadvertently gather sensitive customer information. Ensure you’re collecting, using, and safeguarding ad campaign data ethically.
Concerns of biases and inaccurate data
Another challenge with AI advertising is bias and inaccurate data.
Does your advertising data represent all your varied customer groups and their journeys? Are you verifying the accuracy of your ad campaign data?
Marketers must address these questions and ensure they use accurate and proportionate data representing different groups. After all, AI systems can only be as good as their data and training.
In addition, understanding how algorithms work can help marketers identify the possible biases in their AI advertising models and remain objective in their decision-making.
Getting management’s approval to use AI in advertising
Demonstrating how AI advertising contributes to a business’s bottom line may not be as straightforward. As a result, marketers face the challenge of demonstrating the value that AI advertising investments can bring to the business.
Thankfully, tools like our proprietary IBM Watson AI-powered platform MarketingCloudFX can track your ROI from online and even offline sources so you can attribute your results to your advertising efforts.
In addition, different people have different attitudes toward AI. Management teams may be wary of AI ethical issues, so marketers must assure management that they’ll use AI advertising ethically.
Marketers must also have processes to audit the company’s AI systems and protect customer data to avoid breaches.
How is AI used in advertising?
32% of marketers worldwide
use AI with marketing automation for paid ads and personalization
You can use machine learning to look at your audience’s behavior toward the ads you’re running. Then, AI can further examine their demographics and spot patterns to identify and segment your audiences.
With the help of AI, you can create more relevant ads for your different audience segments!
This way, you can ask questions and discuss how to optimize your ad strategies with your provider.
3. Ad campaign optimization
Another handy use case of AI in advertising is ad campaign optimization. Machine learning algorithms can evaluate your ads’ performance across different ad platforms. It can then provide recommendations on optimizing your campaign to deliver better results.
4. Interactive ads
Interactive marketing is a great way to engage your audience and provide a delightful customer experience. You can use AI and machine learning to optimize your interactive ad strategy.
By having the ability to collect and analyze your audience’s behavior and interaction with your ads and website, AI can identify the interactive advertisements that work best for them.
5. Personalization
AI can analyze your customer data and interactions with your business so you can provide relevant and personalized ads to them.
As a result, they’ll likely engage with your business. After all, 72% of customers say they only engage with personalized messaging.
Ready to use AI in your advertising efforts?
AI can benefit your advertising efforts when used ethically and set up correctly. If you’re considering leveraging AI to optimize your advertising campaigns, consider teaming up with WebFX.
We’re a full-service digital marketing agency that has helped our customers successfully run over 650 ad campaigns. Our team of 500+ digital marketing experts is committed to providing excellent customer service and helping you use AI for your campaigns and drive bottom-line growth.