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Scaling High-Intent Student Applications

dau partnered with O.P. Jindal Global University (JGU) to design and execute a performance-led digital acquisition strategy focused on driving high-intent programme applications across India’s major metro markets. The approach balanced scale, efficiency, and enrolment readiness within a competitive higher education landscape.

Project Overview

About The Brand

O.P. Jindal Global University (JGU) is a multi-disciplinary, research-oriented university founded in 2009. With over 11,000+ students and 1,100+ faculty members, JGU stands as India’s #1 Private University, offering world-class interdisciplinary education across diverse academic disciplines.

Campaign Objective

Acquire high-intent programme applications through Google and Meta advertising campaigns while maintaining strict cost efficiency and conversion benchmarks across multiple schools and admission cycles.

Campaigns Executed

01.

Google Search Campaigns

02.

Meta Lead Generation & Conversion Campaigns

03.

Creative Reels, Statics & Carousel Ads

04.

Admission-Phase Optimisation Strategy

The Advertising Environment

JGU operates in a highly competitive higher education category where:

01.

High-intent student demand fluctuates across admission phases

02.

Metro-city competition drives elevated cost benchmarks

03.

Application quality and conversion rate are as critical as lead volume

How dau Approached the Campaign

dau implemented a performance-driven acquisition strategy combining metro-focused targeting, creative testing, and admission-cycle optimisation.
Key Strategic Elements Icon

Key Strategic Elements

  • 1Targeting high-income, high-intent audiences across major Indian metro cities
  • 2Funnel-aligned messaging tailored to admission stages and programme evaluation
  • 3Multi-format creative deployment (reels, statics, carousels) to maximise engagement
  • 4Campaign structuring aligned with admission phases and key external events
Execution & Optimisation Framework Icon

Execution & Optimisation Framework

  • 5Continuous A/B testing across creatives, visuals, and CTAs
  • 6Budget redistribution based on conversion rate and CPL thresholds
  • 7Admission-cycle optimisation around key milestones (results, deadlines)
  • 8Ongoing monitoring to balance scale with application quality

Performance Outcomes

01.

7.86%

Conversion Rate

02.

7.36%

Average CTR

03.

7.53% Efficiency Improvement

Cost Per Lead (CPL)

Why This Strategy Worked

01.

Metro-focused targeting strengthened applicant intent

02.

Admission-phase alignment improved conversion timing

03.

Creative testing refined engagement and response signals

04.

Performance controls ensured cost discipline at scale

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