How to Use AI Behavioral Data to Inform All Your Marketing Initiatives

Everyone has had a validating experience with a product where it feels like a brand just gets them. To the customer, it feels like a match made in heaven. They may love the features of a certain product, but when asked what they like most about it, it’s not convenient features that stand out; it’s that the brand just fits into their life. Those kinds of customer relationships become possible when you use AI behavioral data to inform your marketing initiatives.

 

Understanding AI Behavioral Data

 

Behavioral data is information describing your customers’ interactions with your brand. It allows you to form a clearer picture of your business by helping you understand your customers’ decisions, preferences, motivations, and actions. Your brand’s mobile app is a primary source of behavioral data, but this information can also come from media interactions, website visits, purchase history, or CRM systems.

 

AI plays a pivotal role in analyzing and interpreting behavioral data. The detailed insights AI can provide are unparalleled. It provides a deep understanding of your customers’ individual patterns and preferences—invaluable insights into customer behavior—that you can then use to improve the customer experience.

 

Integrating AI behavioral data can transform your marketing initiatives. It can help you identify audiences more accurately. It allows you to enhance the customer experience by tailoring targeted messaging in a more personalized way. It can guide decisions to change SEO or SEM on your brand’s website. It enables you to create hyper-personalized marketing messages on a one-to-one basis, at scale, to enhance customer relationships and build brand loyalty. Predictive analytics can be used to forecast future actions by your customers as well.

 

Integrating AI Behavioral Data into Marketing Strategies

 

Integrating AI behavioral data into marketing strategies allows your brand to:

 

  • Gather customer insights and analyze customer behavior and preferences.
  • Identify audiences more accurately through behavioral archetypes.
  • Tailor marketing messages and campaigns.
  • Optimize digital marketing efforts (SEO, SEM, content marketing).
  • Enhance customer engagement through social media and email marketing.

 

One of the best tools for integrating AI behavioral data into marketing strategies is, obviously, through a brand’s mobile app. Not only can it provide you with a ton of customer behavioral data, but you can also integrate AI behavioral data to turn your brand’s mobile app into a powerful communication tool. AI behavioral data allows you to customize hyper-personalized messages to your customers, enabling you to target the right messages to the right customers in the right place at the right time and ultimately achieve maximum return on your marketing efforts.

 

Best Practices to Implement AI-Driven Marketing Initiatives

 

Using AI behavioral data to inform your brand’s marketing initiatives affords you all kinds of benefits to help outpace your competition. As you begin to implement AI behavioral data into your marketing initiatives, keep in mind the following best practices:

 

  • Establish and clearly communicate your objectives and KPIs.
  • Continuously monitor and adjust your strategies based on data insights.
  • Cultivate a data-driven culture within your marketing team.

 

No marketing strategy is a silver bullet, and integrating AI behavioral data is no different. While it provides tremendous insight and opportunity, integrating AI behavioral data into your marketing comes with potential challenges to consider—starting with privacy concerns and ethical considerations. When you have a direct connection to your customers and their data, you have to ensure that you respect data privacy and comply with regulations like General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA). Your brand may also face technical and resource constraints to overcome.

 

Companies that integrate AI behavioral data into their marketing efforts gain a strategic advantage over their competitors. However, it’s no longer a nice-to-have; it’s a must-have. We’re only going to see AI’s impact expand as machine learning improves and technology advancements continue. Real-time data analysis will be increasingly important as behavioral data shapes the future of marketing.

 

AI and Your Organization’s Marketing

 

At the end of the day, business is about meeting the everyday needs of your customers, better and more cost effectively than your competitors. The best way to do that is to understand their behavior and speak to them where they are. There’s no more powerful tool for communicating on a deeply personal level than behavior-based marketing.

 

By adopting AI-driven marketing strategies, you’ll benefit from improved results—and stay ahead of your competition. If you’d like to learn more, contact me at [email protected] or book a time to speak with me.

You may also be interested in

An AI Guide That Takes You from Intimidation to Integration

An AI Guide That Takes You from Intimidation to Integration

Artificial Intelligence (AI) is no longer a futuristic concept but a present-day reality transforming industries across the globe. AI's influence is pervasive and growing from healthcare to finance, retail to marketing and sales. Integrating AI is not just an option...

read more
Is Your Mobile App Ready for 2024 Peak Summer Travel?

Is Your Mobile App Ready for 2024 Peak Summer Travel?

Make Your Data Work Harder for You This Season.   As the warmth of summer approaches, so does the peak travel season. Now that the pandemic is theoretically behind us, travelers are eager to embark on new adventures, reconnect with loved ones, and explore exotic...

read more
Most Mobile Apps Don’t Make Money. Here’s Why.

Most Mobile Apps Don’t Make Money. Here’s Why.

Most brands believe their mobile app is making them money, when in reality, it probably is not. After all, when customers use a brand’s mobile app to complete a transaction, it doesn’t necessarily mean the mobile app is responsible for the transaction.   It’s the...

read more