Model-supported business-to-business prospect prediction based on an iterative customer acquisition framework

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Possible founder application

Use this study as a bounded example related to model-supported business-to-business prospect prediction based on an iterative customer acquisition framework; evaluate whether its customers, intervention and outcome match your own context.

Reported result

What the study found

The iterative framework produces a higher-than-average prospect-to-lead conversion in preliminary tests and can be implemented without human interaction in a web application.

Research question

What the authors investigated

What does model-supported business-to-business prospect prediction based on an iterative customer acquisition framework show about customer behavior or marketing outcomes?

Design

Empirical predictive-modeling study. Phase 1 uses nearest neighbors from current customers; after noncustomer feedback, phase 2 compares logistic regression, decision trees, and neural networks; phase 3 combines models into a weighted prospect list.

Sample and setting

Business-to-business customer-acquisition setting using customer-base information and feedback on companies that did not become customers; preliminary tests assess prospect-to-lead conversion quality.

Scope and transfer

Limitations to keep in view

The accessible publisher page indicates a limitations/further-research section but does not expose its full text; no additional limitation is asserted here. Full-text methods and correction history were not independently checked.

Research sources

Study metadata and reported results were cross-checked against a direct publisher-page retrieval; detailed full-text methods were not reviewed.