> "Work with the client to come up with measurable goals to track click-through/view-through conversions on these goals and ultimately try to measure impact on ROI. It's really not THAT difficult for most campaigns."
Strongly disagree here. It really is THAT difficult for most campaigns. What you are talking about is attribution, and display attribution in particular is still in the dark ages compared to anything click-based. It is IMHO by far and away the toughest problem to tackle in the industry right now. Even more so thank fraud, because if you have a clear sense of what is actually driving revenue, the fraud just becomes another factor for bid algorithms to consider.
Coming up with the value of a view-through conversion, etc. is non-trivial. Further, even getting revenue data from view-throughs is not easy for most advertisers that don't have an ad server in place (think everyone using the vanilla AdWords tracking on the GDN). Specifically, Google gives you view-through conversions, but not view-through revenue, even though they clearly have the data.
I agree that too much of the industry is focused on clicks, and publishers are still loving branding clients that go after impressions because they see it as an easy commission that is super simple to automate management for.
That said, I wish any company with a display offering would do more to prove the value of it from an attribution standpoint. Why do I need to have DFA for accessing full exposure-to-conversion path data? Wouldn't that make it much easier for me to sell in the value of display to my org/clients so I would spend even more?
Personally, I'm dying to see what Google does with Adometry, and what FB does with Atlas in terms of proving the value of display from a data-driven dynamic attribution standpoint. Static models are broken and display is a much more difficult beast to tackle.
Strongly disagree here. It really is THAT difficult for most campaigns. What you are talking about is attribution, and display attribution in particular is still in the dark ages compared to anything click-based. It is IMHO by far and away the toughest problem to tackle in the industry right now. Even more so thank fraud, because if you have a clear sense of what is actually driving revenue, the fraud just becomes another factor for bid algorithms to consider.
Coming up with the value of a view-through conversion, etc. is non-trivial. Further, even getting revenue data from view-throughs is not easy for most advertisers that don't have an ad server in place (think everyone using the vanilla AdWords tracking on the GDN). Specifically, Google gives you view-through conversions, but not view-through revenue, even though they clearly have the data.
I agree that too much of the industry is focused on clicks, and publishers are still loving branding clients that go after impressions because they see it as an easy commission that is super simple to automate management for.
That said, I wish any company with a display offering would do more to prove the value of it from an attribution standpoint. Why do I need to have DFA for accessing full exposure-to-conversion path data? Wouldn't that make it much easier for me to sell in the value of display to my org/clients so I would spend even more?
Personally, I'm dying to see what Google does with Adometry, and what FB does with Atlas in terms of proving the value of display from a data-driven dynamic attribution standpoint. Static models are broken and display is a much more difficult beast to tackle.