Then we haven't discovered anything new about where and how to advertise. Can we trust free products? In summary, unbiased attribution measurement that unifies channel reporting and goes beyond the oversimplifications of last-click attribution models would be a sight for many of us. Needless to say, however, questions will remain about the biases inherent in any attribution product operated by the world's largest seller of online advertising. Despite the dangers, I keep an open mind. Today's vendor landscape is littered with those who will simply pull (potentially biased) analytics data from

multiple platforms into a reporting dashboard. Google is virtually the only company that has the ability to intelligently “de-duplicate” award credits — or, in other words, subtly award partial credits across all channels in a fair and actionable jewelry photo editing service way. Right off the bat, though, let's push Google to maximize the information available on demand. If it's claimed that Google Attribution can help us unify information from various channels and devices, we want to be able to see those individual user funnels, including the weights that Google's attribution models assign to different interactions and devices.

for the conversion of this user. For such rich data, I would say that many advertisers would be willing to pay handsomely for a premium version of the product. There has to be a middle ground between “free and opaque” and the six-figure price tags that seem hard to justify in light of the amount of data we can access for free. The opinions expressed in this article are those of the guest author and not necessarily of Search Engine Land. Staff authors are listed here.