I'm currently scoping ideas for a student project in data analytics and wanted to build this around Media Mix Modeling through either LightMMM (in Python, unofficial Google library) or Robyn (in R, by Meta).
However MMMs usually run over time, with data inputs on a regular basis from the business (for ex updated daily, weekly, monthly or quarterly etc).
My question is: is it possible to use and test either LightMMM or Robyn on a specific, static time-range public dataset that I would for example find on Kaggle (for ex: only 2022 data, run retroactively)? This is mainly coming from the fact that I obviously don't have access to regularly updated and enriched business data.
Thanks a lot in advance for your help!