A novel data-driven approach to detect and predict customer transitions in the marketing funnel
Crossref DOI link: https://doi.org/10.1007/s13278-025-01533-9
Published Online: 2025-11-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Crowe, Chad
Haas, Christian
Hall, Margeret
Text and Data Mining valid from 2025-11-12
Version of Record valid from 2025-11-12
Article History
Received: 28 May 2025
Revised: 13 September 2025
Accepted: 15 September 2025
First Online: 12 November 2025
Declarations
:
: The authors declare no Conflict of interest.