Marketing 4.0 analytics in the B2B sector: a state-of-the-art review and integrated framework

Abstract

Using B2B marketing analytics, algorithms, and models can identify business blind spots, thus avoiding possible risks. It helps to better understand and predict trends and results, and rationalise decisions. The fourth industrial revolution has brought marketing 4.0, affecting marketing analytics methods. This study provides a holistic framework to investigate these effects on Marketing 4.0 analytics. To achieve this goal, a hybrid systematic literature review (SLR) and thematic analysis (TA) is conducted on the applications and models of B2B marketing analytics in Industry 4.0 from the most reliable scientific databases. Understanding these models and their applications changes the attitude toward communication between marketing channels, identifies potential marketing analytics applications for businesses, and facilitates areas for further research. Initially, 941 sources were screened, and ultimately 43 were examined. As a result, 25 codes were applied, and six themes were extracted, including Digital Transformation, Big Data, Marketing Analytics, Marketing, Analytics, and Customer.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 18 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.