> Advertisers aren't likely to pay much to reach the people who are, almost by definition, either too cheap to buy a pass or not invested enough in the site to care
Are you speaking from experience and/or data, or based on logical reasoning? I'm honestly curious, so I hope this doesn't come across as a digital call-out of some kind.
To elaborate, I feel like a lot of people don't pay for news, or written content, because they expect (and can get it) for free. That doesn't mean they're not good potential widget customers.
I'm curious as to what kind of inferences advertisers make / have made about users based on their specific spending patterns. For example, while I'm sure that generally speaking someone who pays for service X may be more likely than average to pay for service Y, I would also expect that variance to grow or shrink a lot depending on the specific circumstances.
I haven't specifically tried that exact approach, but I have a fair bit of experience with ad-supported news sites.
> I feel like a lot of people don't pay for news ... That doesn't mean they're not good potential widget customers.
I'm having a hard time thinking of any advertiser who would be happy about excluding the sort of dedicated reader who is willing to pay for content online. I'm not saying the remaining ad impressions are "bad" just that they are objectively less valuable. That's why this scheme disproportionately devalues ad impressions: you remove the direct impressions from people who buy a pass and you also make the remaining impressions less valuable.
Are you speaking from experience and/or data, or based on logical reasoning? I'm honestly curious, so I hope this doesn't come across as a digital call-out of some kind.
To elaborate, I feel like a lot of people don't pay for news, or written content, because they expect (and can get it) for free. That doesn't mean they're not good potential widget customers.
I'm curious as to what kind of inferences advertisers make / have made about users based on their specific spending patterns. For example, while I'm sure that generally speaking someone who pays for service X may be more likely than average to pay for service Y, I would also expect that variance to grow or shrink a lot depending on the specific circumstances.