CPBM algorithm

Key Points

• The aim is to develop a model that tracks local capital dynamics to predict purchasing behaviors across various categories.
• Establishing the Capital-Pulse Behavioral Model as a conceptual framework.
• Identifying capital movement as a dynamic factor rather than static segments.
• Drawing parallels between capital dynamics and advertising algorithms.
• Predicts purchasing behaviors based on the rhythm of capital movements within communities.
• Suggests that understanding dynamic capital flow can enhance marketing strategies.
• Highlights the potential of tracking financial activity to reveal evolving consumer trends.

Abstract