The world of digital advertising runs on data and speed. Every time a webpage or an app loads, advertisers only have a few milliseconds to decide whether to show an ad, which ad to show, and how much to bid for that space. This process, known as programmatic advertising, became possible through Demand-Side Platforms (DSPs).
DSPs were among the earliest advertising technologies to adopt machine learning. Long before many other industries applied AI at scale, DSPs were using it to predict which ads a user might click on, how much value a user might bring, and what bid would most likely result in a win. These early uses of machine learning laid the foundation for the highly automated and intelligent ad ecosystem we see today.
At Targetoo, we build on that foundation and take it much further. We believe there is no one-size-fits-all solution in digital advertising. Every campaign is unique, with its own challenges, vertical-specific goals, and audience behaviors. Our approach combines advanced machine learning techniques with custom-designed algorithms to ensure advertisers achieve exact objectives — whether it’s more app installs, stronger engagement, or higher return on ad spend (ROAS).
Why Machine Learning Matters in Advertising
In digital advertising, scale and speed make manual optimization impossible. Millions of impressions are available every second, and each needs an instant decision. Without machine learning, decisions would rely only on fixed rules or manual guesses. With machine learning, Targetoo can:
Predict the probability of a click or a conversion in real time.
Adjust bids dynamically, ensuring the right ad is delivered at the right price.
Detect fraud and eliminate waste by spotting unusual traffic patterns.
Optimize campaigns toward specific outcomes rather than vague metrics.
Machine learning transforms advertising from “placing an ad” into “delivering measurable results.”
Targetoo AI That Works for You
We’ve designed a suite of AI-powered algorithms that don’t just deliver ads — they deliver outcomes. By analyzing billions of data points, our models can predict future user behavior and adapt campaigns for performance and growth.
What makes us different is that we don’t rely on just one algorithm for everyone. Instead, our performance team works continuously behind the scenes to design custom solutions. These solutions are tailored to optimize for what advertisers actually care about: app installs, in-app events, retaining high-value users, or boosting ROI.
This flexibility allows Targetoo’s AI to evolve with campaigns, not just run them.
Targetoo Algorithms – Precision Meets Performance
Deep Neural Network (DNN)
Our DNN technology uses advanced machine learning, similar to what powers modern Large Language Models (LLMs). It analyses massive volumes of user behaviour and campaign context to predict the most effective targeting strategies. The result is smarter ad delivery and improved campaign performance.
Key Benefits: Better targeting, stronger performance, maximized ROAS.Custom Algorithm Design
In addition to our DNN, we develop highly specialised algorithms tailored to meet each campaign’s exact needs. For example, if your goal is to increase app installs, we train an algorithm specifically on your past install data. If your goal is in-app engagement, we optimize toward events such as reaching a game level, signing up for a service, or completing a trial.
Key Benefits: Tailored optimization, reduced wasted spend, better user experience.
Specialized Algorithms for Real Goals
Because every vertical and campaign is different, we’ve developed specialized algorithms that go beyond simple ad delivery:
Retained Users Algorithm: Focuses on the most valuable users, reducing churn and increasing lifetime value (LTV).
Creative Selector Algorithm: Automatically directs budget to the highest-performing ads based on your KPIs, keeping creatives fresh and engagement high.
Gaming Algorithm: Built specifically for gaming campaigns, this tool analyzes real-time player behavior to optimize toward engagement, in-app purchases, or ROAS.
With these solutions, advertisers are not just targeting impressions. They’re targeting outcomes that align with real business goals.
Why Targetoo is Different
Many platforms offer automated advertising. But at Targetoo, we understand that delivering impressions or clicks is not enough. What advertisers need are results tied to their business objectives. That’s why our algorithms are built with four principles:
Customization: Algorithms are trained using your first-party data to match your exact goals.
Efficiency: Campaign results accelerate faster because we optimize for events that actually drive ROI.
User Experience: Ads are highly relevant, improving satisfaction and fostering long-term engagement.
Continuous Innovation: Our performance team is always updating and refining models to deliver even better results.
The Future of AI in Advertising
Machine learning began with simple models in DSPs that predicted clicks. Today, at Targetoo, it powers deep learning systems, reinforcement learning for real-time bidding strategies, and specialized pipelines that adapt to vertical-specific challenges. What started as a basic predictive system has become a sophisticated intelligence network guiding billions of ad decisions daily.
As privacy regulations evolve and competition grows, the role of AI in advertising will only become more critical. Targetoo is committed to leading this evolution with smarter, adaptive, and fully customized algorithms that let advertisers connect with the right users at the right moment while maximizing long-term value.