IJETMR
EVALUATING THE ROLE OF CRM IN ENHANCING STUDENT ENGAGEMENT AND DRIVING ADMISSION CONVERSIONS: A CASE STUDY OF AMITY UNIVERSITY MUMBAI

Evaluating the Role of CRM in Enhancing Student Engagement and Driving Admission Conversions: A Case Study of Amity University Mumbai

 

Sayali Haran 1, Dr. Bhojraj Shewale 2, Dr. Bhawna Sharma 3

 

1 BBA 3rd Year (General), Amity Business school, Amity University Mumbai, India

2 Assistant professor, Amity Business school, Amity University Mumbai, India

3 Director-International affairs and program, Officiating HOI, Amity Business school, Amity University Mumbai, India

 

QR-Code

A picture containing logo

Description automatically generated

ABSTRACT

In the rapidly evolving higher-education landscape, universities increasingly rely on Customer Relationship Management (CRM) systems to sustain meaningful engagement with prospective students and improve admission conversions. This research examines how Amity University Mumbai leverages CRM tools to streamline lead management, personalize communication, and enhance decision-making across two key schools: the Amity School of Fashion Technology (ASFT) and the Amity School of Architecture & Planning (ASAP). Using a mixed-method approach, the study analyze CRM-generated data comprising 2,625 counselling calls, engagement events, and behavioural insights collected during June–July 2025. Findings reveal that structured counselling, personalized communication, timely reminders, and webinar-based interactions significantly influence conversion rates. The study concludes that CRM acts as a strategic catalyst that integrates marketing, admissions, and student relationship management into a unified, data-driven framework.

 

Received 05 December 2024

Accepted 02 January 2025

Published 28 February 2025

DOI 10.29121/ijetmr.v12.i2.2025.1712   

Funding: This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Copyright: © 2025 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License.

With the license CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.

 

Keywords: Customer Relationship Management (Crm), Student Engagement, Admission Conversions, Lead Management, Personalized Communication, Counselling Calls, Webinar Interactions, Data-Driven Decision Making, Prospect Management, Enrollment Strategy, Digital Communication Tools

 

 

 


1. INTRODUCTION

The higher-education sector has undergone a paradigm shift driven by increasing competition, evolving student expectations, and the digitization of educational services. In this dynamic environment, student choice is influenced by multiple touchpoints that demand consistent communication, transparency, and personalized engagement.

Customer Relationship Management (CRM) systems play a transformative role in this context. Originally developed for corporate marketing and sales, CRM platforms have become vital tools for universities seeking to manage inquiries, nurture interest, and convert leads into enrolled students. The adoption of CRM allows institutions to integrate marketing, admissions, and communication processes under a unified framework.

Amity University Mumbai (AUM), a part of the globally recognized Amity Education Group, has been proactive in implementing CRM technology to strengthen its admission ecosystem. This research explores how AUM’s CRM-driven processes enhance engagement and facilitate conversions within the ASFT and ASAP departments.

 

2. Literature Review

2.1. CRM in Higher Education

CRM is defined as a strategic process that integrates technology, business processes, and customer interactions to improve relationship quality and organizational outcomes. In universities, CRM is adapted to manage student inquiries, track communication, support counselling, and facilitate enrollment Payne and Frow (2005).

 

2.2. Student Decision-Making

The student decision journey follows a predictable funnel—awareness, interest, evaluation, and final decision. Research shows that proactive engagement and personalized communication increase the likelihood of enrollment Kotler and Keller (2016).

 

2.3. Role of Digital Marketing & Counselling

Digital platforms—including webinars, social media, and targeted email campaigns—shape student perceptions. Counselling, meanwhile, influences emotional trust and clarity, especially in programs requiring creative or technical guidance.

 

2.4. CRM as a Strategic Tool

CRM supports segmentation, automated follow-ups, predictive analytics, and personalized messaging. When integrated with admissions workflows, CRM enhances efficiency and strengthens decision-making Buttle and Maklan (2019).

 

3. Research Objectives

1)     To evaluate the impact of CRM-based communication on student engagement.

2)     To analyze the effectiveness of counselling calls, webinars, and follow-ups in influencing admission decisions.

3)     To assess CRM-enhanced operational efficiency within the ASFT & ASAP admission pipeline.

4)     To identify challenges and opportunities in CRM-supported lead management.

 

 

 

 

 

4. Research Methodology

4.1. Research Design

A descriptive, mixed-method design was adopted. Quantitative data was collected from CRM logs, call records, and event attendance reports. Qualitative insights were gathered through observation and informal interviews with counsellors, students, and parents.

 

4.2. Data Collection

·  Primary Data:

CRM call logs, follow-up notes, counselling observations, student/parent interaction feedback.

·  Secondary Data:

Department brochures, CRM-generated reports, academic articles on CRM in education.

 

4.3. Sampling

A purposive sampling method was used:

·        2,625 counselling & follow-up calls

·        330 “interested” students

·        34 confirmed admissions

·        ASFT + ASAP departments only

 

4.4. Tools Used

·        CRM dashboards

·        Excel analytics

·        Webinar engagement logs

·        Counsellor performance records

 

5. Data Analysis and Interpretation

5.1. Overview

The two-month dataset provides insight into student behaviour, responsiveness, and conversion triggers. It reveals patterns demonstrating how CRM shapes engagement throughout the admissions lifecycle.

1)     Demographic Information

 A diagram of a person and person

AI-generated content may be incorrect.          

Interpretation:

The sample is evenly split between male and female respondents, ensuring that the findings are not biased toward any one gender. This balance allows the insights to be confidently applied to both male and female applicants, making the results more reliable and representative of the overall applicant population.

2)     CRM-Based Communication & Engagement

          A chart of a pie chart

AI-generated content may be incorrect.          

Interpretation:

Most respondents fall within the typical undergraduate admission age bracket, indicating that the data accurately reflects the primary target audience for UG programs. This concentration allows the insights to be closely aligned with the expectations, needs, and behaviors of prospective UG applicants, making the findings highly relevant for designing admission strategies and engagement plans.

3)     Admission Conversion Factors

  A diagram of a pie chart

AI-generated content may be incorrect.

Interpretation:

The majority of the leads consist of UG applicants, which is consistent with common university admission patterns where undergraduate programs typically attract the highest volume of inquiries. This trend indicates that the outreach efforts are effectively reaching the primary target audience and that the data accurately represents the main segment driving admissions.

 

5.2. Month-Wise Call Analysis

Month

Total Calls

Responses

Interested

Conversions

Jun-25

1,267

983

154

4

Jul-25

1,358

1,298

176

30

Total

2,625

2,281

330

34

 

Interpretation

·        July demonstrated a major spike in conversions due to stronger awareness efforts and consistent CRM follow-ups.

·        Interest levels increased slightly, but conversion rates showed the strongest growth. 5.3 Impact of Engagement Activities

Activity

Events

Attendance

Conversions

ASFT Webinars

3

420

5

Campus Visits

6

200

7

Counselling Calls

Continuous

2,448

26

 

Interpretation

Human-led interactions such as calls and open-house visits had the highest conversion impact, emphasizing the necessity of trust-building communication.

 

5.3.  Behavioral Insights from CRM Analytics CRM records revealed that:

·        Students delayed decisions until after major entrance exam results (NIFT, NATA, CUET).

·        Personalized outreach (messages + calls + tailored program details) increased the probability of conversion.

·        Parent-focused communication influenced decisions significantly.

·        Webinars featuring faculty and alumni boosted institutional credibility.

 

6. Findings

1)     CRM-based counselling is the strongest conversion driver.

2)     Personalization through CRM enhances trust and reduces student uncertainty.

3)     Webinars and interactive sessions positively impact engagement, especially for creative courses.

4)     Real-time analytics help counsellors prioritize high-potential leads.

5)     Timely reminders prevent dropout across the admission funnel.

 

7. Challenges Identified

·        Maintaining accuracy in CRM data entry

·        High dependency on counsellor communication quality

·        Lead overload during peak periods

·        Hesitancy among students due to comparison with competitors

·        Limited cross-department CRM integration

 

8. Recommendations

1)    Advanced CRM Lead Prioritization

Use AI-based scoring to classify leads by conversion probability.

2)    Automated Chatbots for Initial Queries

Reduce counsellor workloads and ensure instant student response.

3)    Robust Follow-Up Strategy

Introduce structured, multi-touchpoint communication cycles.

4)    Department-Specific Digital Branding

Promote ASFT & ASAP portfolios, labs, student work, alumni success.

5)    Centralized CRM Performance Dashboard

Real-time measurement of counsellor productivity and engagement quality.

6)    Continuous CRM Training Programs

Improve counsellor accuracy, empathy, and articulation.

 

9. Conclusion

The study reaffirms that CRM plays a pivotal and transformative role in shaping student engagement and improving admission conversions within higher-education institutions. At Amity University Mumbai, the CRM ecosystem functioned not merely as a technical support tool but as a comprehensive relationship-building framework that connected counsellors, students, parents, and academic departments through one streamlined platform. By integrating communication tracking, behavioural analytics, follow-up automation, and counsellor insights, the CRM system enabled a consistent and structured approach to every stage of the admission pipeline.

The evidence gathered through counselling logs, webinar interactions, and engagement trends clearly demonstrates that CRM-driven processes significantly strengthened student relationships. Students showed higher levels of trust and clarity when counsellors used CRM data to provide personalized explanations, tailored program details, and timely responses. Automated reminders minimized information gaps and ensured that prospective students received support at crucial decision-making moments. Meanwhile, virtual interactions such as webinars, campus presentations, and online counselling sessions played an essential role in enhancing institutional credibility—especially for creative and technical departments like ASFT and ASAP, where students often seek detailed guidance before committing.

Ultimately, the research highlights that CRM’s effectiveness does not lie solely in its technological capabilities, but in its ability to amplify the human touch within the admissions journey. When combined with empathetic communication, transparent guidance, and consistent follow-ups, CRM becomes far more than a data-management tool. It evolves into a strategic catalyst for institutional growth, enhancing student satisfaction, strengthening organizational efficiency, and promoting a culture of responsive engagement.

As higher-education institutions continue to face competitive pressures and rising student expectations, adopting CRM as a holistic engagement philosophy—rather than merely a digital system—becomes essential. Institutions that effectively blend technology with humancentred practices are better positioned to build long-term student relationships, achieve stronger conversion outcomes, and uphold a reputation for integrity and student-centric support. This research underscores the importance of embracing CRM not as an operational requirement, but as a transformative component of modern educational excellence.

 

 

 

CONFLICT OF INTERESTS

None. 

 

ACKNOWLEDGMENTS

None.

 

REFERENCES

Buttle, F., and Maklan, S. (2019). Customer Relationship Management: Concepts and Technologies (4th ed.). Routledge. https://doi.org/10.4324/9781351016551

Kotler, P., and Keller, K. L. (2016). Marketing Management (15th ed.). Pearson Education.

Payne, A., and Frow, P. (2005). A Strategic Framework for Customer Relationship Management. Journal of Marketing, 69(4), 167–176. https://doi.org/10.1509/jmkg.2005.69.4.167

Seeman, E. D., and O’Hara, M. (2006). Customer Relationship Management in Higher Education: Using Information Systems to Improve Student Retention. Campus-Wide Information Systems, 23(1), 24–34. https://doi.org/10.1108/10650740610639714

Ngai, E. W. T. (2005). Customer Relationship Management Research (1992–2002): An Academic Literature Review and Classification. Marketing Intelligence & Planning, 23(6), 582–605. https://doi.org/10.1108/02634500510624147

Chen, I. J., and Popovich, K. (2003). Understanding Customer Relationship Management (CRM): People, Process, and Technology. Business Process Management Journal, 9(5), 672–688. https://doi.org/10.1108/14637150310496758

Alavi, M., and Leidner, D. E. (2001). Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961

Helgesen, Ø. (2008). Marketing for Higher Education: A Relationship Marketing Perspective. Journal of Marketing for Higher Education, 18(1), 50–78. https://doi.org/10.1080/08841240802100188

Mazzarol, T., and Soutar, G. N. (2002). “Push-pull” Factors Influencing International Student Destination Choice. International Journal of Educational Management, 16(2), 82–90. https://doi.org/10.1108/09513540210418403

Amity University Mumbai. (2025). Admission handbook & CRM guidelines [Internal publication]. Amity University Mumbai.

Amity University Mumbai. (2025). ASFT & ASAP admission reports (June–July 2025): CRM dashboard data [Internal reports/data set]. Amity University Mumbai.

Strauss, J., and Frost, R. (2014). E-marketing (7th ed.). Pearson.

Shanks, G. (2016). Aligning CRM Strategy with Business Goals. International Journal of Information Management, 31(4), 345–352.

     

Creative Commons Licence This work is licensed under a: Creative Commons Attribution 4.0 International License

© IJETMR 2014-2025. All Rights Reserved.