Right ad. Right person.
Right place. Right time.

Harness the power of 1000 ads managers in seconds
through the power of machine learning and predictive analytics

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Make every impression count

Predictive Targeting advertising, powered by our partnership with AdTheorent, uses advanced analytics to anticipate your audience’s needs, delivering highly relevant ads at the right time to drive engagement and conversions. By analyzing past behavior and trends, this technology helps you effectively target your ideal audience.

  • Increased conversion rates
  • Optimized ad spend
  • Enhanced ROI

Step into the future of ads!

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What is Predictive Targeting advertising and how does it work?

Predictive Targeting advertising utilizes advanced predictive analytics to anticipate your audience’s needs and preferences. This enables you to deliver highly relevant ads to the right audience at the right time, driving engagement and conversions. By analyzing past behavior and trends, this cutting-edge technology helps you find and effectively target your ideal audience.

How Predictive Targeting advertising works:

Data collection: Data is collected from over 200 data signals directly from consumers’ devices. This includes past purchase behaviour, browsing history, and demographic details.
Custom-built models: Our machine-learning platform, developed by expert data scientists, builds custom models using hundreds of data points from successful outcomes to optimize campaign targeting. These models assign predictive scores to each impression.
Impression scoring: By evaluating and scoring millions of ad impressions per second, we focus on opportunities most likely to deliver results, ensuring your message reaches the right people at the right time.
Audience targeting: Predictive analysis helps define your ideal audience and predict their purchase intent, enabling hyper-targeted messages that increase campaign effectiveness.
Performance monitoring: Continuous monitoring and adjustments through real-time data analysis optimize results, ensuring your ads stay effective and relevant.

Turbocharge your growth!

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Anticipate needs and deliver results with Predictive Targeting

Predictive Targeting advertising offers incredible benefits that help enhance marketing strategies and maximize your ROI.

Increased conversion rates

Tailored ad placements lead to higher conversion rates, turning prospects into loyal customers. When ads are more relevant, users are more likely to take the desired action.

Enhanced ROI

With improved engagement and conversions, you'll see a higher ROI as every ad dollar works harder. Predictive Targeting optimizes campaign performance, boosting profitability.

Optimized ad spend

By excluding those uninterested in your offers, we eliminate wasted views and focus resources on those most likely to convert. Predictive Targeting ensures efficient spending, maximizing your marketing budget.

Automatic personalization

Deliver hyper-targeted messages based on real-life behavior. Predictive Targeting enables personalized campaigns that resonate with your audience, driving better results by addressing needs and preferences.

Higher engagement rates

By targeting users based on predicted interests and behaviors, engagement rates soar as ads resonate more deeply with the audience.


Reduced customer acquisition costs

Target the right audience with precision, minimizing costs associated with reaching new customers. Predictive targeting streamlines acquisition, maximizing budget effectiveness without compromising reach.

Ready to dominate? Let’s go.

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Leverage Advanced Predictive Analytics to Overcome Your Advertising Challenges

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Advertising Challenges
How Predictive Targeting Overcomes Them
Wasted Ad Spend
Predictive targeting ensures ads are shown to users most likely to engage, reducing wasted impressions and maximizing ad spend efficiency.
Low Engagement Rates
By leveraging machine learning to analyze user behavior and predict interests, predictive targeting places ads that resonate deeply, significantly boosting engagement.
Difficulty in Reaching the Right Audience
Predictive Targeting’s advanced algorithms analyze vast datasets to identify and target the most receptive audience segments, ensuring your message reaches the right people.
Inconsistent ROI
Through precise targeting and continuous optimization, Predictive Targeting delivers consistent, measurable improvements in ROI, turning advertising into a reliable investment.
Scaling Campaigns
Predictive Targeting scalable solutions adapt to your business needs, allowing for effective campaign expansion without sacrificing targeting accuracy or campaign quality.
Ad Fatigue
By utilizing diverse ad formats and creative designs, Predictive Targeting keeps content fresh and engaging, combating ad fatigue among your target audience.
Integrating Data Across Platforms
Predictive Targeting seamlessly integrates data across platforms for a unified advertising strategy, ensuring cohesive messaging and comprehensive analytics.

Precision Targeting Transforms Marketing Efficiency

Leverage Cutting-Edge
Algorithms

State-of-the-art algorithms analyze vast data to forecast behaviour and anticipate audience needs with high accuracy, ensuring relevant and timely ads.

Data-Driven Targeting
and Messaging

Through the analysis of predictive data, we create highly targeted messages that resonate with your audience, driving better results and higher engagement.

Identify and Engage
High-Value Audiences

Predictive analytics identifies and engages high-potential segments of your target audience, delivering ads to those who are most likely to convert.

Optimize Your
Marketing Efforts

Using predictive data to inform targeting reduces wasted impressions and increases conversions ensuring your ads reach the right people at the right time and place.

Your Breakthrough Starts Here.

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Understanding Predictive Analytics
as an Advertising Tool

Predictive analytics uses statistical techniques and machine learning algorithms to analyze data and predict future events. It helps marketers anticipate consumer behaviour and tailor strategies accordingly.

Importance of Predictive Analytics
in Advertising

Predictive analytics offers many benefits to marketers:

  • Personalization:  Anticipate needs and preferences for highly personalized messages.
  • Customer Engagement:  Increase engagement by delivering more relevant content.
  • Performance Measurement: Predictive analytics accurately measure and optimize the performance of campaigns.
Learn More About Predictive Analytics

Data Collection with Privacy Compliance

Predictive Targeting Advertising uses data that is collected in compliance with privacy regulations. This ensures that your marketing efforts are both effective and ethical, protecting consumer trust and adhering to legal standards.

 

For more details on how we handle data privacy, visit our Privacy Policies and see our data privacy standards here.

Upgrade Your Impact with Predictive Targeting Advertising

Ready to transform your marketing with predictive analytics? Contact us today to learn more about Predictive Targeting and how it can enhance your next advertising campaign.

 

Whether you’re looking to increase sales, boost engagement, or outperform your competitors, Predictive Targeting Advertising has the tools and insights you need to succeed.

Own Your Market Now.

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Predict customer actions to maximize engagement and fuel growth

BRANDS WHO TRUST US

Client success stories

Predictive Targeting has helped numerous clients achieve remarkable results. Here are a few success stories:

Retail brand

Achieved a 7X higher CTR compared to the industry average, significantly boosting online engagement and sales.

Event organizer

Increased event attendance by 30% year-over-year by using targeted messaging to reach potential attendees.

E-commerce business

Outperformed competitors with a 25% higher CTR by targeting competitor audiences with compelling offers.

Our clients have seen significant improvements in their marketing performance. Are you ready to be our next success story?

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AdTheorent vs the rest

Forget what you know about ad platforms. AdTheorent stands apart, predicting the future of consumer interactions ensuring your ads don't just show up—they show off.

AdTheorent versus other display ad platforms

theTradeDesk Display & Video 360 Yahoo! AdTheorent
Ad Targeting that looks forwards not backwards
Continuous campaign learning and adaptation
Personalized ad placements based on individual user behaviour
Ad creative that adjusts based on individual data and performance metrics

No limits, just growth.

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Most frequently asked Predictive Targeting questions

Curious about how Predictive Targeting works? We’ve compiled answers to the most common questions to help you better understand how this powerful tool can enhance your advertising efforts.

What is a predictive score?

A predictive score is a value that is assigned through machine learning to determine whether an ad should be served to a user. Through data analysis, the platform predicts the likelihood of a successful outcome and assigned a predictive score for each impression. If the predictive score meets or exceeds a 90% probability of success, then the ad is served.

Is outcome-based media similar to look alike audiences?

Outcome-based media focuses on achieving specific outcomes by leveraging machine learning and predictive analytics. This approach does not rely on sensitive personal information or cookie-based retargeting, making it privacy-forward and compliant with various regulations. Look alike audiences, on the other hand, are created by identifying characteristics of an existing customer and finds new customers who share similar traits. Look alike audiences typically uses data such as demographics, interests and behaviours to expand the reach to new users.

Everyone is now using AI to optimize their platforms – What makes AdTheorent different?

AdTheorent differentiates itself through its commitment to a privacy-first approach, utilizing machine learning to analyze data without relying on sensitive personal information or cookies. The platform utilizes predictive scoring to evaluate millions of ad impressions in real-time, allowing it to serve ads only when the likelihood of achieving a successful outcome exceeds 90%. Additionally, AdTheorent builds custom models for each campaign, ensuring that the data parameters are tailored to maximize effectiveness while maintaining compliance with privacy regulations. The unique combination of real-time data
analysis, predictive technology and a focus on measurable outcomes sets AdTheorent apart from competitors that may prioritize audience reach over performance.

What’s the difference between predictive media and Google’s performance max platform?

Predictive media uses real-time signals and custom model building for each campaign and its focus is on predictive scoring rather than traditional audience targeting. AdTheorent’s approach is more tailored and privacy conscious, while still aiming to deliver strong performance outcomes.
Analysis, predictive technology and a focus on measurable outcomes sets AdTheorent apart from competitors that may prioritize audience reach over performance.

What role does programmatic typically play in an omnichannel media mix?

Programmatic ads are typically a top of funnel or awareness channel and plays the role of filling the marketing funnel with quality traffic. However, AdTheorent’s platform can be effective throughout the entire marketing funnel. AdTheorent uses advanced machine learning and predictive scoring to evaluate the likelihood of achieving specific campaign outcomes. This allows for precise targeting and optimization based on real-time data, focusing on driving actionable goals and conversions. The platform’s ability to create ID-independent audiences and utilize real-time signals ensures that ads are served to users with the highest likelihood of converting, thus supporting performance-driven objectives beyond awareness.

How do you address ad fraud?

Ad fraud is addressed through a strategy that combined advanced machine learning, real-time data analysis and third-party verification. AdTheorent continuously analyzes inventory signals to identify and remove low-performing publishers and Made for Advertising (MFA) properties. The platform’s anti-fraud infrastructure detects fraudulent activity before an impression is served across all campaigns and devices. This includes the use of DoubleVerify for pre-bid invalid traffic (IVT) filtering and post-bid monitoring. This multi-layered approach ensures that ad fraud is minimized and campaign performance is maximized.

What’s the difference between 3P audiences and the RTS models?

While 3P audiences rely on pre-collected, static data to define audience segments, RTS models utilize dynamic, real-time data signals and machine learning to predict the likelihood of a successful outcome. This approach allows RTS models to adapt continuously, focusing on driving specific campaign outcomes rather than reaching predefined groups. Additionally, unlike 3P audiences, RTS models are designed to be privacy-forward, avoiding the use of sensitive personal information or cookie-based retargeting.

What are your benchmarks for programmatic display?

The 2023 benchmarks are 0.30% CTR for display and 20.86% Engagement Rate (ER) for rich media.

How do you measure campaign success?

Utilizing client’s previous results as our benchmark, we work towards meeting that initial goal. As the algorithm learns more about the audience, we then work towards exceeding that goal and then compare those results to previous months.

Is the platform self-serve or managed by AdTheorent?

AdTheorent is well-positioned for a post-cookie world, as its core functionality does not rely on third-party cookies for targeting or measurement.
Learn more about Predictive Targeting