Really cool- Many questions here. Can you merge these two datasets together? Is it at the product level? There are reverse causality issues you should be cautious about too, do ads come first and boost reviews or upon seeing boost in reviews are people clicking ads at a higher rate and such. Also make sure to distinguish your study from other kaggle notebooks analyzing this data so that you can present results from a fresh angle. If there are timestamps in the data, you could analyze the cycle of products, like they put ads, then you track how products do, like those with bad initial reviews vs good initial reviews. I look forward to the analysis.
Really cool- Many questions here. Can you merge these two datasets together? Is it at the product level? There are reverse causality issues you should be cautious about too, do ads come first and boost reviews or upon seeing boost in reviews are people clicking ads at a higher rate and such. Also make sure to distinguish your study from other kaggle notebooks analyzing this data so that you can present results from a fresh angle. If there are timestamps in the data, you could analyze the cycle of products, like they put ads, then you track how products do, like those with bad initial reviews vs good initial reviews. I look forward to the analysis.