Empirical Study on User Retention of Document Information Service of Regional University Library Alliances
[Purpose/Significance]Constructing a data-driven user retention analysis framework is to empower the regional university library alliance in enhancing the benefits of collaborative resource development and sharing,promoting user growth,and exploring new pathways for precision services in library collection resources.[Method/Process]Taking the digital library document information services of universities in Fujian Province as the empiri-cal object,this article constructed a user retention analysis framework by integrating retention phase.Based on the business strategies and service scenarios,it reconstructed a group user profile label system of the alliance university library with a top-down approach.Then,it collected comprehensive user behavior data to reveal the collaborative construction and sharing benefits of document information services,the characteristics of user retention,as well as the differences in resource requirements.Finally,it explored appropriate user service strategies according to the subsequent month retention period,selective retention period,and stable retention period.[Result/Conclusion]The empirical results reveal that the timeliness of document delivery is a core benefit index for user retention.It is im-perative to develop a user growth system,enhance user stickiness,solidify the cost of user stored value,and expand service functions.For user groups at different stages of retention,it can formulate differentiated precision service strategies on business metric indicators of the service scenario.
user retentioncohort analysisdocument information serviceuser profile
NETL
NSTL
万方数据
