This study uses quantitative and qualitative approaches to investigate the preferences of tourists who visit protected areas in Sabah, Malaysia. It considers the implication that such visits have against the conservation of wildlife tourism destinations. Several theoretical frameworks are employed in this investigation - including critical theory, grounded theory, experience theory, animal encounter theory, biodiversity hotspots theory, and scheme theory. Other theories of importance are involvement theory, theory of planned behaviour, and user-and-gratification theory. This study's wildlife tourism behaviour path model shows that tourist experiences and activities can drive memories, loyalty and satisfaction with the destination's offerings. The study shows that wildlife tourist's expectations are framed around Sabah's endemic wildlife, rainforest, diversity of animals and abundance of animals, as well as around traditional culture. A good portion of respondent tourists (42%) indicate that their tourist expectations are substantively met, with a further 39% seeing their experience as less than very-highly-met. As such, there is room for improving Sabah's wildlife tourism industry. The orang utans, followed by the rhinoceros, and then the elephants, are the most popular animal species. Approximately sixty seven per cent (66.9%) of study respondents are in the 25 – 44 age group, with a majority being professional's females, and often from the UK. A majority (63%) of respondents were first time visitors. Regarding environmental conservation, 33.90% (majority of tourists) learned of threats facing the wildlife species in these tours, and indicated that wildlife threats needed attention. The real world contributions of this study include encouraging wildlife destination sites to seek solutions for the improvement of the appeal of wildlife tourism, and raising both the loyalty and satisfaction levels of outbound wildlife tourists. This study was limited in terms of the tourist respondent convenience sampling employed ...