Descriptive analysis summarizes historical data, providing insights into past performance. Predictive analysis, however, uses historical data to forecast future behavior, making it more actionable for strategic decision-making. For Customer Lifetime Value (LTV), predictive analysis offers a more accurate and forward-looking measure by predicting future customer behavior and revenue potential.
By integrating the survival probabilities influenced by various marketing strategies, we can further refine the LTV estimates:
Predictive analysis forecasts future actions, providing deeper insights. Using survival modeling, it estimates the likelihood of continued purchases, helping prioritize resources for high-value customers. For example, Customer A has a significantly higher LTV compared to Customer B, guiding focused marketing efforts.
Predictive analysis goes beyond describing past behavior to understanding future trends, enabling businesses to target high-value customers effectively. This strategic focus ensures a better return on investment by maximizing customer retention and growth through more insightful LTV calculations.