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Description

Using Data Analytics to Improve Customer Retention Strategies in Subscription-Based Businesses: A Mixed-Methods Study

Abstract

In subscription companies, where loyalty from clients is pivotal to continued success, this research investigating how data analytics will be used to enhance it. Companies are under increasing pressure to reduce customer attrition and maximize client lifetime value as the subscription model spreads across many sectors. Customer retention strategies have taken center stage as companies attempt to maintain a continuous stream of revenues and mitigate subscription attrition.

The major objective of this study is to understand how data analysis will strengthen client retention strategies for subscription organizations. Moreover the study aims to establish how consumer engagement and loyalty strategies will be guided and strengthened by data insights. The study applying a mixed-approaches approach that combines qualitative business expert interviews with quantitative examination of consumer behavior data. The effectiveness of retention strategies such as customized offers. In addition to loyalty programs is measuring through the advanced techniques such as statistical analysis and machine learning. Marketing managers moreover data analysts, and customer service experts are interviewing.

Data analytics plays a critical role in driving client retention in subscription-based businesses. Companies will actively fight churn by leveraging the data-driven personalized engagement strategies and predictive modeling. Moreover to guarantee long-term success and fiscal sustainability in competitive marketplaces. This study providing actionable recommendations for businesses that wish to enhance customer loyalty moreover reduce attrition, and also optimize retention strategies. Finally, the report highlighting the importance of leveraging customer data to enhance retention programs and offer customized experiences appealing to shoppers.

Read more about the topic

Customer Retention Strategies and Customer Loyalty

Customer retention rate forecasting in subscription-based business models in the mobile app domain

View Other Projects on Retention Strategies

Exploring the Effectiveness of Customer Relationship Management (CRM) Systems in Retaining Consumers: A Mixed-Methods Study

Predicting Customer Churn Using Data Analytics: A Mixed-Methods Approach for Improving Retention Strategies

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