Ads on paulgraham.com -- Check the bottom of any PG essay
adpinion.com
adpinion.com
But still, what will happen when an advertisement that a group pays for is consistently down-modded into oblivion, essentially nullifying any chance for it to appear? How will the YC startup handle the irate company? I know an answer would be that they should change their advertisements, but still, some companies may get angry at the YC startup that the money they payed for advertisement didn't do any good. How will they handle that situation? I'm guessing the advertisements are charged on a per-click bases, but is there a base charge, or tiered pricing for size of initial random viewing of web-pages registered with the company?
If the YC startup can't fulfill a promise of at least some level of ad-viewer-ship, then why should a company have their ads go through them?
I was just asking how an online advertising service, especially a small startup, handle such things.
Nobody who says "the more accurately you judge my efforts, the worse off I'll be" is worth keeping around.
Right now, it is relatively easy for a company to sign up for an online advertising service with some minimal guaranteed ad views. From that companies can project future earnings based on their click through and purchase rates, even if their ads are terrible, and nobody except for 0.1% click, they at least have a base line for money coming in that is fairly reliable. This system, however bad for the end users experience, is extremely helpful for the businesses planning and forecasting. Now, the CFO can say, 'We're going to have at least this much money!', and Net Ops groups can say, 'Well that means we'll probably need this much bandwidth!', and the entire business can some-what get along.
Then, Adpinion steps in. Suddenly, Advertising/Marketing can't predict how much, or even if, they'll be able to meet previous projections, projections are useless at this point. Now the CFO can't say if the company will be able to meet market predictions, and the Net Ops guys will be in the dark about if they'll suddenly be crushed by users' bandwidth requests or that they've over allocated bandwidth and they're now stuck with some fat pipes that are just getting spam messages. Well, this is all a little dire, but the point is that Adpinion can create contentions in a business.
Ah! But here is what I wanted to follow through on - even if Adpinion can create unpredictability in long running advertising strategies, the real win here would be for a one-two punch with traditional online advertising venues. A business could market test half their advertising revenue, find what works and then send it through traditional online ad streams. Now that business can up their average click rate by quickly market testing ads, and they can make their advertising team hungry and on-edge about what how well that day/week/months' ad scheme performed. And this is where Adpinion wins, for me. From an overall business perspective, outside of a localized ad/marketing department, it would provide such a benefit to any company that they would be senseless not to use it.
The issue of advertisements getting shown less because everyone dislikes them is something we're looking at closely. We focus a lot on individual user preferences, so if you dislike an ad hopefully there is someone out there who likes it and they will get shown the ad more to keep the number of impressions consistent. However, there will be cases where an ad gets less impressions because the majority of people dislike it. We feel that serving these ads as much as the ads that everyone likes creates an inefficiency in the cost per click model: if you're a website publisher and there are two ads that pay the same per click, you're not making as much off the less popular ad. We're exploring ways to incorporate ad ratings into the cost structure in a way that gives advertisers incentive to make well-liked ads.
Also: guaranteeing a minimum viewership/maximum price for cost estimation is definitely something we're aware of, and we have some ideas on how to achieve that. We'll reveal them when we're done ; ).
I thought it had a lot of potential at the time and I still think it has a lot of potential now. The only problem is that until there is a large body of ads you get very scatterbrained results.
With the idea to "make something people want", isn't it a bad idea to make something a minority want and the vast majority will fight against? Especially considering the majority's clicks are all that matter.
"Ads are here to stay"
This isn't true. Ads needn't dominate the way people make money on the web.
They certainly suck more than text ads.
(Even though I hate ads I think they have their place.)
On the other hand, why voting, isn't click/no click sufficient information to judge the effectiveness of ads (seems to work for Google Adwords)?
Also, there's the type of ad where you think you might be interested in it, so you click it to see what it's about, only to find that the product or whatever actually sucks. That's where the down-vote would help.
I don't know if this idea will work, though. Assuming it's used by web surfers, then I think advertisers will want it. But that's a big assumption. What's the incentive for web surfers to use it? Looking at ads, even "high-quality" ones, isn't really a priority of mine. And there are other tools like StumbleUpon or del.icio.us that suggest content to me, but don't really have the commercial agenda that an ad does.
I don't click on ads often, but when I do, it's usually because something caught my attention that I wasn't directly searching for.
The one exception is that I occasionally try to "trigger" ads that give me a discount once I know exactly what I want.
Still, I'd like to know how many people actually care about seeing ads.
This doesn't mean it wouldn't work across a large set of sites though. Aggregating responses and correlating them should produce really effective targeting.
First, it needs some automated targeting. Does anyone know how AdSense targets ads? I bet the ad ends up on the pages that would be returned from a Google query containing the keywords. The better pagerank, the more expensive the ad. I do not have in mind a good algorithm for adpinion, but they should figure something out - Google's targeting is really good..
Second, upclicking doesn't matter and the button is not even needed. The only way the user indicates he likes the ad should be to click through.
Third, do not just count votes. Implement the best open recommendation algorithm from Netflix prize contest instead.
Downclicking that hides the ad is good and useful.
PS: Reddit for ads sounds clever, but still won't get me to click them.
I don't know about you guys, but I actually enjoy looking through the ads in Wired. Usually they're catchy and they are almost always relevant for me. I can't say that about most ads on the web, and certainly not for TV (I will never buy a truck in my life so stop 'effin showing me ads for them!) Obviously the problem with these last two mediums is that they don't have enough information about me.
Honestly, I would submit my personal tastes/preference to some sort of central advertising database which authorized companies could then plug into. Right now, it would make a lot of sense if Google hosted that database, but it should really be something open so that any advertiser can use it.
I adblock only distracting animated ads. Will they notice a pattern if I downvote according to ad style, or is it only based on ad topic?
The UI is good, the idea is really elegant, and it is well executed.
Now I wasn't "lying" when I up-voted the ad -- it did seem generally interesting (some Ruby site that provided tutorial screencasts), but I'm not sure I would have voted if it wasn't linked off news.yc.
The user who likes an ad benefits from thumbs up because he's more likely to see similar ads in the future.