Despite advances in our understanding of fertility, implantation failure remains a significant problem for both spontaneous and assisted pregnancies. Most research efforts concerning the process of implantation are embryo-centric, with a dearth of studies on endometrial factors. Currently, there are no practical and effective diagnostic tools available to precisely predict endometrial receptivity. Transcriptomics, a field based on microarray technology, has a number of procedures for clinical applications, although the functional relevance of most identified genes remains unclear. Importantly, RNA sequencing will further improve the precision and broaden the clinical use of the transcriptome by detecting previously undiscovered genes, which could be used to further our understanding of endometrial receptivity. In this review, potential biomarkers based on endometrium gene expression profiles of human endometrial receptivity were described and compared in natural and stimulated cycles towards discovering future prospects for personalized medical approaches. The intent of this synthesis is to provide researchers, doctors, and clinicians in the field with a better understanding of endometrium receptivity, promote further study in the transcriptome in embryo implantation, and ultimately, improve pregnancy outcome.