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Malaria in pregnancy (MiP) is a significant public health concern in high-burden malaria countries and a key predictor of high-risk pregnancies in Cameroon. One of the challenges of the National Malaria Control Programme (NMCP) in Cameroon is to generate reliable, timely, accurate and actionable data to inform decision-making, effective monitoring and planning. Discussions with the NMCP at the Ministry of Public Health (MoPH) identified poor data quality, lack of clear guidelines, manual data processing at the district level and delays in feedback on data as key bottlenecks in effective implementation of malaria control in Cameroon. This paper documents the data gaps for MiP identified by the digital health platform, BornFyne, project team in collaboration with the MoPH. We outlined lessons learnt in identifying and defining MiP-related indicators through stakeholder engagement across various levels, and identifying priority MiP elements for health facility registers for integration into the BornFyne digital platform. These lessons and insights will provide valuable guidance for other countries looking to incorporate malaria-related content into their antenatal care packages and/or to integrate similar content into their digital health platforms, and suggestions for strengthening the WHO digital adaptation kit MiP content.