Industry: Education
Company Size: Ten schools
Location: U.S. & International
Focus: AI & Direct Response
A global private school group with campuses across multiple countries was struggling to maintain consistent enrollment growth, particularly in regions with strong competition from local and international schools. The group's value proposition of individualized education and experiential learning was well-received by current families, but it failed to resonate with prospective parents unfamiliar with the brand. Additionally, the admissions process was highly time-intensive, relying heavily on manual lead nurturing and in-person engagement. Identifying and converting high-value prospects who prioritized holistic education, international opportunities, and personalized learning pathways proved to be a significant challenge.
The group needed an innovative approach to identify families who aligned with their educational philosophy, reduce the time and cost of nurturing leads, and streamline the enrollment pipeline to increase admissions without sacrificing quality. How can AI and direct response marketing address these challenges?
Thrive used an AI-powered tech stack to analyze their database, identifying high-value families and correlating their profiles with psychographic and behavioral data. Predictive modeling pinpointed prospective families with similar traits, enabling hyper-targeted, personalized direct response campaigns.
AI-driven dynamic content optimized messaging across digital and offline channels, promoting relevant benefits like global curriculums or fee waivers. An AI-powered CRM prioritized high-propensity leads and automated follow-ups, streamlining the admissions process.
This approach boosted enrollment in competitive regions, reduced acquisition costs, and enhanced the experience for prospective families.
The AI-driven campaigns achieved a 3x higher response rate than previous efforts, resulting in a 12% increase in new student enrollments. Insights from predictive modeling allowed the group to shift from broad advertising channels to targeted, cost-effective platforms, reducing advertising spend by 17% without impacting enrollment revenue.
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