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Chase had ads on 400k sites, then on just 5k, with same results

nytimes.com

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Re: Chase had ads on 400k sites, then on just 5k, with same results

#83
post #64
post #40

Earlier quoted context omitted.

1-5% click through rate on a display ad is pretty normal. If had impressions on 400k sites, the distribution of impressions per site had a long tail, and then you removed all of those that had no clicks, you'd expect to have a small set of placements with clicks. It doesn't mean they're spam sites, it's just math.

Yeah. It feels like the New York Times is lying with statistics and fearmongering about "toxic sites" to encourage companies to only advertise with big sites - something that, as basically the biggest name in news in the US, they're positioned to benefit from financially.

If 98% of the sites generate what is rounding error on your sales, then you measure that benefit against the risk that your brand gets associated with a hate speech site (maybe in the nytimes no less). It's math alright, but it means that the brokers are not adding a whole lot of value.

Re: Chase had ads on 400k sites, then on just 5k, with same results

#85

Earlier quoted context omitted.

Niche creators never had a chance in the first place. The few pennies you get for thousands of impression don't cover the expenses to run the site or the time to write the content.

Tell that to the thousands of niche podcasters out there who sustain their programs through marketing partnerships. Niche creators do stand a chance. They just need the opportunity to reach their audience with a degree of intimacy and trust that the horrific scourge of mainstream online video and corporate 'journalism' do not and cannot offer. Certain media can enable this for their viewers and others less so. It's n…

Podcast advertising is really not the same as the ad networks on a blog or website. It's far more analogous to the advert spots that radio does.

It doesn't even need to be particularly native advertising. I've listened to a bunch of ads on Dan Carlin's Hardcore History that are completely unrelated to the subject of the podcast.

Re: Chase had ads on 400k sites, then on just 5k, with same results

#86
post #40

Earlier quoted context omitted.

From the article: > Of the 400,000 web addresses JPMorgan’s ads showed up on in a recent 30-day period, said Ms. Lemkau, only 12,000, or 3 percent, led to activity beyond an impression. An intern then manually clicked on each of those addresses to ensure that the websites were ones the company wanted to advertise on. About 7,000 of them were not, winnowing the group to 5,000. They're pretty plainly saying that 388,00…

1-5% click through rate on a display ad is pretty normal. If had impressions on 400k sites, the distribution of impressions per site had a long tail, and then you removed all of those that had no clicks, you'd expect to have a small set of placements with clicks. It doesn't mean they're spam sites, it's just math.

1-5% click through rate on display ads? You're missing a decimal point!

Re: Chase had ads on 400k sites, then on just 5k, with same results

#87
post #10

This is definitely an interesting tactic, but this is a pretty poor article. #1. Chase is claiming performance hasn't been affected, but it has only been a couple days since they made changes. With display you can't measure performance in only a few days. #2. The author confuses the number of sites with the number of impressions. Chase is buying the same number of impressions - if everyone else followed this strategy…

> #1. Chase is claiming performance hasn't been affected, but it has only been a couple days since they made changes. With display you can't measure performance in only a few days.

It could be that neither display strategy was providing any value.

Re: Chase had ads on 400k sites, then on just 5k, with same results

#88
Can we talk about the fact that "an intern" had to filter through 12,000 websites and make a judgement call for a second here?

Also - I presume the spending was the same in both cases - just focused. If so, the risk here is that you may miss out on a new up and coming blog "exploding" onto the scene. However, all it would take to "reset" is next quarter, "tasting" ads on 400k sites again, paying an intern (again) to filter the ones that led to revenue, and creating yet another list.

Re: Chase had ads on 400k sites, then on just 5k, with same results

#89
post #57
post #7

> At some point, a human is going to take a look. I recently saw a talk by Foster Provost, a big ML guy at NYU. The main points of his talk were that using fine-grained behavioral data (like browsing history) is better than demographics (at least in his context: predicting ad lift), and he proposed a way to interpret the model (somewhat). I left feeling disappointed. His system for interpretation was super post-hoc a…

> An example: if you do a Google search for "Amazon " then you'll almost always get an ad from Amazon. So Amazon pays for a click that would have happened anyway This is absolutely understood, and in fact deliberate. Amazon does not want another advertiser sitting above their top position in the organics. It weakens mind share, and risks losing a click.

Ok, admittedly my example was bad. However, the replies are all basically assurances of the form: "Don't worry, a human at Amazon made that decision, so it's ok."

I'll repeat that ML is useful, and I'll add that it's useful in human systems, but its utility is constrained because for the really important stuff you eventually have to have a person check its work.

Re: Chase had ads on 400k sites, then on just 5k, with same results

#90
post #8

"An intern then manually clicked on each of [the 12000] addresses to ensure that the websites were ones the company wanted to advertise on." - true hero of this article

Casperjs to capture screenshot of every site, do a image match of the results for confirmation.
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