Rather than relying on additional investment to generate more leads, we focused on making the existing media mix work harder. Search would capture high-intent demand, Performance Max would become the engine for efficient scale, Meta would concentrate investment around the audiences and moments with the greatest conversion opportunity, and TikTok would open a controlled path to incremental growth. This channel-specific approach allowed us to balance efficiency and scale while reducing reliance on any single platform.
Building on that strategy, we migrated the AON Search campaigns into a structure segmented by Brand, Category and Competitor, letting us manage investment, bidding and messaging according to actual search intent. The new structure also provided greater visibility into which demand segments were driving performance, enabling faster optimization and more precise budget decisions throughout the enrollment cycle.
Performance Max went from running on residual budget to becoming a central piece of the Google mix, allowing automation to identify conversion opportunities across Google’s inventory while supporting efficient incremental reach. On Meta, we reallocated investment away from lower-performing campaigns toward parent audiences and higher-urgency moments such as Open House and Last Spots. This aligned the platform more closely with the enrollment journey and concentrated spend where motivation and conversion propensity were highest.
Finally, we introduced TikTok as a controlled test, dedicating less than 1% of the budget to explore new lead opportunities without compromising overall efficiency. The test-and-learn framework gave Tecmilenio a disciplined way to evaluate emerging inventory while protecting the performance of the core media plan.
The result was not simply a more optimized media plan, but a more productive and strategically balanced one: a mix designed to generate more growth from every peso invested, respond more effectively to shifts in demand and create a stronger foundation for future enrollment cycles.