Across... well, basically every category of product... the product which you are most likely to purchase next is the same (or a substitute for or a complement to) the last product you purchased.
Thanks for summarizing the logical fallacy of "personalized ads".
Maybe what you say applies within the narrow context of a single brick and mortar retail establishment --- clothing for example.
If I buy a shirt at a *clothing* store, when I visit this same *clothing* store again (in a few weeks or months) I may be inclined to buy another one. The mere fact that I took the time to visit again suggests it is likely.
But just after buying a shirt, how likely am I to buy another one when I visit a pet supply store across town?
The brick and mortar world is naturally divided and separated by context. When you walk into a pet supply store, you *never* get hit with ads for clothing.
This is not true with on-line advertising which is totally divorced from any rational context and as a result, the ads are much less effective than they could be.
And the ad networks don't really care if the ads are effective or not. In fact, they probably prefer it not be to encourage advertisers to spend more on advertising in a "black box" system that they fully control.
Thanks for summarizing the logical fallacy of "personalized ads".
Maybe what you say applies within the narrow context of a single brick and mortar retail establishment --- clothing for example.
If I buy a shirt at a *clothing* store, when I visit this same *clothing* store again (in a few weeks or months) I may be inclined to buy another one. The mere fact that I took the time to visit again suggests it is likely.
But just after buying a shirt, how likely am I to buy another one when I visit a pet supply store across town?
The brick and mortar world is naturally divided and separated by context. When you walk into a pet supply store, you *never* get hit with ads for clothing.
This is not true with on-line advertising which is totally divorced from any rational context and as a result, the ads are much less effective than they could be.
And the ad networks don't really care if the ads are effective or not. In fact, they probably prefer it not be to encourage advertisers to spend more on advertising in a "black box" system that they fully control.