Which attribution model uses machine learning algorithms to distribute credit for a conversion across different touchpoints?

The Data-driven attribution model is correct because it uses machine learning to analyze all conversion paths and assign fractional credit to each touchpoint based on its actual contribution to the conversion. This model is unique as it adapts to your specific data, providing a more accurate and nuanced view of marketing effectiveness. First click and Last click models are simpler, assigning 100% of the credit to the very first or very last interaction, respectively, ignoring all other touchpoints. Time decay gives more credit to touchpoints closer in time to the conversion, but it doesn't use machine learning to determine the weight of each interaction.