We propose a release-augmented dynamic factor model (RA-DFM) that allows to quantify the role of a country's data flow in nowcasting both early Gross Domestic Product (GDP) releases and subsequent revisions of official estimates. We use the RA-DFM to study UK GDP early revision rounds and assemble a comprehensive and novel mixed-frequency dataset that features 12 years of real-time data vintages. The RA-DFM improves over the standard DFM in real time when forecasting the first release each quarter. Economic and survey data help to predict the first revision round.