This study explores how audience segmentation can enhance conservation interventions. Using data from Liberia, researchers applied clustering models to divide hunters and households by livelihood and behavior traits. These clusters revealed key differences, such as how confiscations at roadblocks or participation in aid programs varied across groups. In contrast, a simpler method (grouping by hunting impact) failed to capture these nuances.
A notable finding was that nonlocal gun hunters rarely engaged in cocoa farming, a common conservation-aligned livelihood, suggesting that interventions must be tailored more precisely. The results affirm that multi-variable audience segmentation can help design more targeted, effective conservation strategies by aligning solutions with specific hunter behaviors and socioeconomic realities.
