IBERO needed to improve the efficiency of its digital student acquisition campaigns while maintaining competitive costs. The goal was not simply to generate more leads, but to attract prospective students with stronger intent and a genuine likelihood of progressing towards enrollment.
The institution faced several key challenges:

• Improving the quality of the leads generated.

• Increasing lead-to-enrollment conversion.

• Optimizing media investment while maintaining competitive costs.

• Showing each user the most relevant academic programs based on their interests and digital behavior.

In a sector where many institutions compete for the attention of the same student profiles, message relevance becomes a real competitive advantage. Showing the right program at the right time tends to work considerably better than presenting the same offer to everyone and crossing your fingers. Turns out, the algorithm appreciates a little strategic thinking too.

Adsmurai designed and implemented a DBA (Dynamic Broad Audience) campaign strategy to leverage the platform’s automation and machine learning capabilities, enabling communications to be dynamically adapted to each user.

The strategy focused on connecting behavioral signals, interests, and academic offerings to show each prospective student the most relevant programs. As a result, campaign activation moved beyond broad-reach advertising and evolved into a smarter, more personalized student acquisition system focused on conversion.

The main actions included:

• Dynamic personalization of academic programs based on interests and behavioral signals.
• Campaign optimization towards higher-quality signals and users with a greater likelihood of conversion.
• Activation of broad audiences enhanced by machine learning algorithms.
• Development of creative assets focused on the key differentiators of each academic program, from their value proposition and curriculum to institutional credibility and the university’s high-quality accreditation.
• Continuous strategy adjustments based on campaign performance and the quality of the leads generated.

This approach made it possible to combine scale and relevance: broad audiences to expand reach, automation to identify conversion opportunities, and dynamic messaging to better connect academic programs with each user.