Higher Education Marketing Blogs Roundup  2024-05-30

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Common themes:

  1. Importance of advanced data integration and analytics.
  2. Focus on aligning metrics with strategic goals and outcomes.
  3. Use of predictive modeling and AI in CRM.
  4. Need for standardized industry-wide metrics.
  5. Emphasis on enhancing student success and ROI.

Surprising points:

  1. Significant struggle with accurately attributing conversions to specific marketing efforts.
  2. Desire for benchmarking and industry standards.
  3. Shift from traditional metrics like brand awareness to outcome-oriented metrics.
  4. Holistic approach combining qualitative and quantitative data.
  5. Call for collaborative efforts between institutions, associations, and vendors.

Next Level Strategies in CRM for Higher Education: Advanced Data Integration and Engagement Analytics

Higher Education Marketing

https://www.higher-education-marketing.com/blog/next-level-strategies-in-crm-for-higher-education-advanced-data-integration-and-engagement-analytics

Synopsis:

  • The article discusses the importance of advanced data integration and engagement analytics in CRM strategies for higher education institutions.
  • It highlights the need for colleges and universities to effectively integrate data from various sources, such as enrollment data, student records, and marketing campaigns, to gain a holistic view of students and improve engagement.
  • The author emphasizes the role of engagement analytics, using tools like CRM systems, in analyzing and leveraging data to personalize communication, track student interactions, and measure campaign effectiveness.
  • The article provides insights on how higher education institutions can leverage advanced strategies, such as predictive modeling and artificial intelligence, to enhance their CRM capabilities.
  • The author suggests that by employing advanced data integration and engagement analytics, colleges and universities can improve student success, retention rates, and overall marketing ROI.

Background resources:

  • CRM systems
  • Data integration in higher education
  • Engagement analytics

Noteworthy positions taken by the author:

  • The author highlights the importance of advanced data integration and engagement analytics in driving CRM strategies for higher education.
  • They advocate using predictive modeling and artificial intelligence to enhance CRM capabilities in the sector.
  • Emphasis is placed on the potential benefits for student success, retention rates, and marketing ROI.

Summary and takeaways:

  • Higher education institutions can benefit from advanced data integration and engagement analytics in their CRM strategies.
  • Integrating data from various sources allows for a holistic view of students and enhances engagement efforts.
  • Engagement analytics provide insights into personalized communication, student interactions, and campaign effectiveness.
  • Predictive modeling and artificial intelligence can further enhance CRM capabilities.
  • Improved student success, retention rates, and marketing ROI can be achieved through these advanced strategies.

“🎓⚡ Next Level CRM for Higher Ed: Advanced data integration & engagement analytics drive student success and ROI. 📊📚 #HigherEd #CRMstrategies”

Higher Ed Marketing Metrics Research Study: What Gets Measured Gets Managed – UPCEA and Search Influence (March 2024) – UPCEA

UPCEA

https://upcea.edu/higher-ed-marketing-metrics-research-study-what-gets-measured-gets-managed-upcea-and-search-influence-march-2024

Synopsis:

  • The article discusses the findings of a research study conducted by UPCEA (University Professional & Continuing Education Association) and Search Influence on marketing metrics in higher education.
  • The study aimed to identify the key metrics that institutions measure, how they use the data, and the challenges they face in measuring marketing effectiveness.
  • A survey was conducted among 300 higher education marketing professionals across the United States.

Key Findings:

  • Most institutions focus on measuring website analytics, social media engagement, and lead generation as their top marketing metrics.
  • However, many struggle with accurately attributing conversions to specific marketing efforts and lack integration between various data sources.
  • The study highlights the importance of aligning marketing metrics with strategic goals and utilizing marketing automation tools to streamline data collection and analysis.
  • Notably, a significant portion of respondents expressed a desire for benchmarking and industry-wide standards for higher education marketing metrics.

Noteworthy Positions:

  • The authors emphasize the need to shift from traditional metrics like brand awareness and reach to more outcome-oriented metrics that demonstrate the impact of marketing efforts on enrollment, student outcomes, and revenue.
  • They advocate for a holistic approach, combining both qualitative and quantitative data, to gain a comprehensive understanding of marketing effectiveness in higher education.
  • The study calls for collaborative efforts between institutions, industry associations, and vendors to develop standardized metrics that can be benchmarked across the higher education sector.

Takeaways:

  • Higher education institutions should focus on aligning marketing metrics with strategic goals and outcomes, rather than solely measuring superficial metrics like website traffic.
  • Integrating data sources and utilizing marketing automation tools can enhance data accuracy and improve the tracking of conversions and ROI.
  • The higher education sector should collaborate to establish benchmarking standards and industry-wide metrics, allowing institutions to compare their marketing efforts and assess their effectiveness.

“📊🎓 Higher ed marketing needs a shift: focus on outcomes, not numbers. Collaborate for standards. #HigherEdMetrics #MarketingEffectiveness”