Compared to high-level calculations, simulations are a more accurate method for understanding a loyalty program’s ROI. Lenati’s Loyalty ROI Simulator, for example, simulates the effect of each part of a loyalty program on each individual customer’s behavior over a time horizon, and can mix and match loyalty drivers to assess different scenarios. The results can then be aggregated to view overall impact or dive deep into customer segments.
The methodology combines statistical methods from the field of data science with big data and cloud computing, and pulls in customer insights from primary research. In doing so, the simulation can report out the overall ROI of the program, where typical expenses are incurred, and how each customer contributes new revenue driven by the program, for example. By comparing multiple scenarios of loyalty programs, Marketers can feel confident that they are choosing the right features and loyalty drivers for the program.