AI Advertising Tools
With the onslaught of new AI tools, I knew it was important to cover AI advertising and provide some insight into how to choose a tool that does what you need.
Many people are jumping on the bandwagon (which is awesome!), but the overwhelming number of options can muddy the waters. I’m all about trying new tools and constant testing. Here we go:
Embracing the Efficiency of AI Advertising
AI machine learning has already proven its value thanks to tools you know, like Google Ads (Smart Bidding) and Instagram Ads (Meta AI algorithms) to name a few.
Most techies are embracing the added value AI brings to digital advertising, but for those who are still on the fence, here are four reasons why I think it’s worth exploring:
- Predictive Analytics for Smarter Bidding
- Enhanced Targeting Precision
- Creative Optimization at Scale
- Performance Analytics Beyond Human Capability
Here are some tools to use for each of these elements.
Predictive Analytics and Enhanced Targeting: Adext AI
This tool is singularly designed to identify the best audience segments and allocate budgets efficiently. Unlike creative tools, this is all about management.
With AI, you can dive deeper into audience segmentation, targeting users based on a myriad of factors such as behavior, interests, and even real-time engagement.
This precision ensures that your ads reach the right eyes at the right time.
I like Adext because it helps with my AI advertising strategy as a whole. It supports multiple platforms, including Google and Meta.
I believe it’s user friendly and I like that it’s continuously learning from all the campaigns versus relying on the individual platforms that keep their data siloed.
RUNNER UP: Google Ads Smart Bidding
AI algorithms can analyze past campaign data to predict future trends and outcomes.
When it comes to AI advertising, Google Ads Smart Bidding utilizes machine learning to optimize bids for maximum conversions (or conversion value).
This tool leverages vast amounts of data to predict the likelihood of a click or conversion. The idea is to ensure your ad spend is used most effectively.
- You can manually engage with the data and make your own decisions, or set the tool to make adjustments in real time.
- As with any platform, it’s best to keep a close eye on anything you ‘let the tool do’ for you. Even the best algorithms make mistakes, and it’s important to note that the tool will work in its own favor.
- Running A/B tests is always recommended.
Creative Development and Performance Analytics: Ad Creative AI
This tool really stands out when it comes to creative development with AI advertising. It seamlessly offers both text and visual solutions for developing ads. At this time (August 2024) most tools do either text OR visuals, and Adcreative.ai is streamlining the effort under one roof.
Designed to enhance marketing campaigns, Ad creative ai is using their artificial intelligence model to generate tailored ad visuals and copy that resonate with target audiences.
As with any tool, you must train it on your brand’s goals before it creates anything. Once you’ve given it the data it needs, this tool really works some magic.
Specifically, it identifies patterns and trends, ensuring that each ad is optimized for performance. This tool not only saves time but also increases engagement and conversion rates, and it offers reporting templates to ensure you have the most up-to-date look at your campaigns.
I believe it’s a worthy investment asset for digital advertising professionals.
Remember: Humans can only process so much data, but AI thrives on it. By analyzing performance metrics at an unprecedented scale, tools like Adext.ai and Adcreative.ai are giving us more to work with. The professionals who take advantage of new tools will be the most successful.
SEE ALSO: AI Social Media Tools: Streamlining Your Workflow
The Road Ahead: AI Advertising
While the integration of AI advertising offers vast opportunities, it’s not without challenges. As I often discuss, transparency is key since any AI tool’s effectiveness is rooted in its design and the intentions of its creators.
Navigating the ethical considerations and oversight needed to fully leverage AI advertising (and any use of AI, to be fair) relies heavily on the users at this time.
For those using the tool in business, I recommend developing a set of AI Ethics Guidelines.
In closing, businesses that adopt AI advertising to enhance their campaign efforts are not just optimizing the budget now; they’re investing in a future where digital marketing is infinitely more effective.
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With nearly two decades in the industry, Belle Strategies’ owner, Rachel Creveling, is a seasoned business consultant who crafts comprehensive frameworks that integrate operations, marketing, sales and HR to position her clients for optimal success. She excels at incorporating trending tech ethically and studied Strategies for Accountable AI at Wharton.