Really curious to know more about how Lyft handles attribution here as I didn't really see it mentioned. Nor did I see much about how they approach view through metrics for display and such when that data is increasingly locked away within the ad platforms and not always exposed via API. Presumably things are mashed together in an ad server and some enterprise analytics platform with an attribution tool in the mix, perhaps with a sprinkling of MMM.
Beyond that, I'd love a deeper analysis of their actual channels and how they measure and approach them. Any additional links on that would be much appreciated.
Beyond that, I'd love a deeper analysis of their actual channels and how they measure and approach them. Any additional links on that would be much appreciated.