Accelerating Subscription Growth with Personalized Offers: A Capability Framework

Personalized offers present a transformative approach to subscription-based businesses, enhancing acquisition rates while maintaining profitability. This paper introduces a comprehensive capability framework tailored for B2C subscription models, focusing on the principles and execution strategies of personalized offers. The framework encompasses technical and operational infrastructure, testing protocols, and scaling methodologies to ensure efficient and ethical implementation. By leveraging data-driven insights and aligning cross-functional efforts, businesses can deliver the right offer to the right user at the right time, driving both growth and customer satisfaction. This analysis expands upon existing strategies by incorporating advanced techniques such as predictive modeling, machine learning, and ethical considerations to provide a robust guide for subscription growth.

Authors

Publication Details

Journal
Journal of Advances in Developmental Research
Published
2025-07-26
DOI
https://doi.org/10.71097/ijaidr.v16.i2.1492
Primary Topic
Library Collection Development and Digital Resources
Type
article
Field-Weighted Citation Impact
0.00
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article

Accelerating Subscription Growth with Personalized Offers: A Capability Framework

Shikha Agarwal
Journal of Advances in Developmental Research
Library Collection Development and Digital Resources
article

Accelerating Subscription Growth with Personalized Offers: A Capability Framework

Shikha Agarwal
article en

Abstract

Personalized offers present a transformative approach to subscription-based businesses, enhancing acquisition rates while maintaining profitability. This paper introduces a comprehensive capability framework tailored for B2C subscription models, focusing on the principles and execution strategies of personalized offers. The framework encompasses technical and operational infrastructure, testing protocols, and scaling methodologies to ensure efficient and ethical implementation. By leveraging data-driven insights and aligning cross-functional efforts, businesses can deliver the right offer to the right user at the right time, driving both growth and customer satisfaction. This analysis expands upon existing strategies by incorporating advanced techniques such as predictive modeling, machine learning, and ethical considerations to provide a robust guide for subscription growth.

Journal of Advances in Developmental ResearchVol. 16(2)
Openalex Percentile: Top 73%
Library Collection Development and Digital Resources
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