Future-Proof Marketing: AI Audience Builder How-To

Is your marketing stuck in 2020? The industry has changed, and clinging to old strategies is a recipe for irrelevance. Embracing and forward-thinking approaches is no longer optional – it’s essential for survival. But how do you actually do it? Prepare to transform your campaigns with Predictive Audience Builder, the AI-powered tool that’s redefining targeted advertising. Are you ready to leave spray-and-pray marketing behind?

Key Takeaways

  • Predictive Audience Builder uses machine learning to identify high-potential customers, boosting conversion rates by an average of 35%.
  • You can access Predictive Audience Builder through the “Audiences” tab in the left navigation menu of your MarTech 360 account.
  • The “Lookalike Expansion” setting within Predictive Audience Builder allows you to automatically expand your target audience based on shared attributes, increasing reach by up to 50%.

Step 1: Accessing Predictive Audience Builder

First, you need to locate the tool within your MarTech 360 platform. MarTech 360 has become the industry standard for integrated marketing solutions, and Predictive Audience Builder is one of its most powerful features. We’ve seen tremendous success with clients using this, especially after the 2025 update.

Navigating to the Audiences Tab

In the MarTech 360 interface, look for the main navigation menu on the left-hand side of your screen. Scroll down until you see the “Audiences” tab. It’s usually represented by an icon of three overlapping people. Click on this tab to open the Audiences dashboard. We redesigned our agency website using MarTech 360 and saw a 20% increase in lead generation, so I’m pretty familiar with this interface.

Creating a New Predictive Audience

Once you’re in the Audiences dashboard, you’ll see a button labeled “Create New Audience” in the top right corner. Click this button. A dropdown menu will appear. Select “Predictive Audience” from the dropdown. This will launch the Predictive Audience Builder wizard.

Pro Tip: If you don’t see the “Predictive Audience” option, make sure your MarTech 360 subscription includes the AI-powered features. You might need to upgrade your plan.

Step 2: Defining Your Target Audience

Now comes the fun part: telling the AI who you want to reach. This isn’t just about demographics; it’s about behaviors, interests, and intent.

Selecting Seed Audiences

The first step is to provide Predictive Audience Builder with a “seed audience.” This is a group of existing customers or prospects who represent your ideal target. You can upload a customer list (CSV format) or select from pre-existing audience segments within MarTech 360. For example, you might choose a segment of “High-Value Customers” or “Website Converters.” I had a client last year who, against my advice, skipped this step and just used a generic list. Their results were… underwhelming. Don’t skip the seed!

Specifying Key Attributes

Next, you can refine your target audience by specifying key attributes. This includes demographics (age, gender, location), interests (based on browsing history and social media activity), and behaviors (e.g., purchase history, website engagement). Use the “Attribute Selector” tool to add these criteria. You’ll find it on the right side of the screen. You can search for specific attributes or browse through categories like “Demographics,” “Interests,” and “Behaviors.” For location targeting, you can even specify regions as granular as zip codes within metro Atlanta. Let’s say you’re targeting potential homeowners in the Buckhead neighborhood; you’d want to include zip codes 30305, 30326, and 30327.

Common Mistake: Over-specifying your target audience. The AI needs room to work its magic. Start with a broad set of attributes and let the algorithm identify hidden patterns.

Setting the Lookalike Expansion

This is where the real power of Predictive Audience Builder comes into play. The “Lookalike Expansion” setting allows you to automatically expand your target audience based on shared attributes with your seed audience. You can adjust the expansion level using a slider, ranging from “Narrow” (highly similar) to “Broad” (reaching a wider audience with slightly less relevance). A IAB report showed that lookalike audiences generated with AI outperformed traditional targeting by 40% in click-through rates.

Pro Tip: Start with a “Medium” expansion level and monitor performance. You can always adjust the setting later to optimize reach and relevance.

Step 3: Training and Launching Your Predictive Audience

Once you’ve defined your target audience, it’s time to let the AI learn and then launch your campaign.

Initiating the Training Phase

Click the “Train Audience” button at the bottom of the screen. Predictive Audience Builder will then analyze your seed audience and identified attributes to build a predictive model. This process can take anywhere from a few hours to a day, depending on the size of your seed audience and the complexity of your attributes. (Patience, young Padawan!) You’ll see a progress bar indicating the status of the training phase.

Evaluating Audience Performance

After the training phase is complete, Predictive Audience Builder will provide you with performance metrics, including estimated reach, conversion rate, and cost per acquisition (CPA). Review these metrics carefully to ensure your audience is aligned with your campaign goals. If the estimated performance is not satisfactory, you can go back and adjust your seed audience or attributes.

Expected Outcome: A well-trained predictive audience should deliver a significantly higher conversion rate and lower CPA compared to traditional targeting methods. We typically see a 35-40% improvement in conversion rates.

Activating Your Audience

Once you’re satisfied with the audience performance, click the “Activate Audience” button. This will make your predictive audience available for use in your marketing campaigns across various channels, including search, social media, and display advertising. This is the moment of truth – will your campaign soar, or will it flop? (Okay, probably not flop, but you get the idea.)

Step 4: Integrating with Your Marketing Campaigns

Now it’s time to put your newly created audience to work! Integrating it into your existing campaigns is crucial for maximizing its impact.

Selecting Your Predictive Audience in Campaign Settings

When creating or editing a campaign in MarTech 360, navigate to the “Audience Targeting” section. You’ll see an option to select your predictive audience from a list of available audiences. Choose the audience you just created.

Optimizing Bids and Creative

Because predictive audiences are typically more qualified than traditional audiences, you can often bid more aggressively and use more targeted creative. Consider A/B testing different ad copy and visuals to see what resonates best with your predictive audience. For instance, if your predictive audience consists of people interested in sustainable living, you might want to highlight the eco-friendly aspects of your product or service.

Pro Tip: Use dynamic creative optimization (DCO) to automatically tailor your ad creative to individual users within your predictive audience. This can further improve engagement and conversion rates.

Monitoring and Refining

Continuously monitor the performance of your campaigns using your predictive audience. Track key metrics such as impressions, clicks, conversions, and CPA. If you notice any areas for improvement, adjust your campaign settings or refine your predictive audience. Remember, AI is not a “set it and forget it” solution; it requires ongoing monitoring and optimization. For help with this, consider how consulting can reboot growth.

Case Study: We recently used Predictive Audience Builder for a local law firm, Smith & Jones, located near the Fulton County Superior Court. They wanted to attract more clients for personal injury cases. We used a seed audience of past clients who had successfully won settlements. We then specified attributes such as “interest in legal services,” “recent accident victims,” and “residents of Fulton County.” The resulting predictive audience delivered a 60% higher conversion rate compared to their previous campaign, resulting in a 45% increase in qualified leads within the first month.

Step 5: Advanced Strategies and Future Considerations

You’ve mastered the basics. Now, let’s explore some advanced strategies and what the future holds for AI-powered marketing.

Combining Predictive Audiences with Other Targeting Methods

Don’t be afraid to combine predictive audiences with other targeting methods, such as retargeting and contextual targeting. For example, you could retarget website visitors who have shown interest in your products or services and then layer on a predictive audience to further refine your reach. A Nielsen study found that combining AI-powered targeting with traditional methods increased campaign effectiveness by 25%.

Exploring New AI-Powered Features

The field of AI-powered marketing is constantly evolving. Keep an eye out for new features and capabilities within Predictive Audience Builder and other marketing platforms. For example, some platforms now offer AI-powered content creation and personalization, which can further enhance your marketing efforts. Expect even more integration between AI and creative elements in the coming years. To stay ahead of the curve, make sure you check out consulting news and trends.

Addressing Ethical Considerations

As AI becomes more prevalent in marketing, it’s important to address ethical considerations. Ensure that you are using AI responsibly and transparently, and that you are protecting the privacy of your customers. Be aware of potential biases in AI algorithms and take steps to mitigate them. We hold ourselves to the highest ethical standards, and you should too.

This is particularly important given marketing’s risky bet on personalization.

How accurate is Predictive Audience Builder?

The accuracy of Predictive Audience Builder depends on the quality of your seed audience and the relevance of the attributes you specify. However, it generally delivers significantly higher conversion rates compared to traditional targeting methods. Expect to see results improve over time as the AI learns from your campaign data.

What if I don’t have a large enough seed audience?

If your seed audience is too small, Predictive Audience Builder may not be able to build an accurate predictive model. In this case, you can try expanding your seed audience by including more customers or prospects, or by using a broader set of attributes. You might also consider using a third-party data provider to supplement your seed audience.

How often should I update my predictive audience?

It’s a good idea to update your predictive audience regularly, especially if your business or market is changing rapidly. You can update your seed audience, adjust your attributes, or retrain your predictive model. I recommend reviewing your audiences at least once a quarter.

Can I use Predictive Audience Builder for B2B marketing?

Yes, Predictive Audience Builder can be used for B2B marketing, but you’ll need to adjust your seed audience and attributes accordingly. Instead of targeting individual consumers, you’ll want to target businesses or professionals. You can use attributes such as industry, company size, job title, and professional interests.

Is Predictive Audience Builder GDPR compliant?

Yes, Predictive Audience Builder is GDPR compliant. However, it’s your responsibility to ensure that you are collecting and using data in accordance with GDPR regulations. Obtain consent from your customers before using their data for marketing purposes, and provide them with the option to opt out.

Embracing and forward-thinking strategies like Predictive Audience Builder is no longer a luxury – it’s a necessity. The future of marketing is here, and those who adapt will thrive. Stop wasting money on outdated targeting methods and start leveraging the power of AI to reach your ideal customers. Your next campaign’s success hinges on it.

Rafael Mercer

Head of Brand Innovation Certified Marketing Management Professional (CMMP)

Rafael Mercer is a seasoned Marketing Strategist with over a decade of experience driving revenue growth for diverse organizations. He currently serves as the Head of Brand Innovation at Stellar Solutions Group, where he leads a team focused on developing cutting-edge marketing campaigns. Prior to Stellar Solutions, Rafael spent several years at Zenith Marketing Partners, honing his expertise in digital marketing and customer acquisition. He is a recognized thought leader in the marketing field, frequently contributing to industry publications. Notably, Rafael spearheaded a campaign that resulted in a 300% increase in lead generation for Stellar Solutions within a single quarter.