No-Code MMM with Gabriele Franco
Measure Up
How to Optimize Your MSC for Error and Delay Effects
The comparison is a metric that meta invented. It tries to equalize the impact of a channel compared to how much you spent in that channel. Normalize Ruth new squared error, it's basically the error on the prediction of your model versus the actual sales that you actually get from the historical data. Never grad uses Never grad to optimize the two different parameters in our MSC for error and decomp R SSD for business correctness.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
