Embrace the Future - Shift from Demographics to AI-Powered Behavioral Targeting

In the fast-paced world of digital advertising, credit unions must evolve beyond traditional demographic targeting to stay relevant. While demographics provide useful insights, they fall short in today’s demand for precision and personalization. The future lies in behavioral targeting, enhanced by AI and machine learning.

The Limitations of Demographic Targeting

Demographic targeting segments audiences by age, gender, income, and more. However, it lacks precision, is relatively static, and often leads to overgeneralized audiences. Two individuals in the same demographic can have vastly different financial needs and behaviors, which demographic data alone cannot capture. It also completely ignores the timeliness of actual product needs.??

The Power of Behavioral Targeting

Behavioral targeting focuses on what members and prospective members do rather than who they are, providing deeper insights into their interests and needs. For example:

• Auto Loans - Target consumers who visit automotive websites, engage with car dealership pages, or use car-buying apps like AutoTrader or Kelly Blue Book.? ?
• Checking - Engage consumers who frequently search for financial advice, read articles on money management, or visit comparison sites for checking accounts.
• Mortgages - Reach consumers who browse real estate listings, use mortgage calculators, visit home-buying websites & apps, or read articles on home financing.

Leveraging AI and Machine Learning

AI and machine learning take behavioral targeting to the next level by continuously optimizing your campaigns. Here’s how they work:

• Learning Engagement Patterns - AI analyzes who is engaging with your ads, identifying key behaviors and preferences. This allows you to refine your target audiences even further.
• Deeper Audience Development - Machine learning uses these insights to develop even deeper and more accurate target audiences. By understanding the nuances of consumer behavior, your campaigns become more effective and relevant.
• Continuous Improvement?- As more data is collected over time, AI systems learn and adapt, continuously improving the performance of your campaigns. This ongoing optimization ensures that your marketing efforts remain effective and up-to-date, yielding better results with each iteration.

Credit unions must innovate to stay competitive. By shifting from demographic to behavioral targeting, enhanced by AI, they can deliver more relevant and effective digital advertising. This transition will help credit unions accelerate growth and build deeper relationships.

Interested in learning more about behavioral targeting paired with AI? Let's talk about how Onboardability can help level up your digital advertising.

Contact us to explore how we can work together to achieve all of your digital marketing goals.