Showing posts with label advertising. Show all posts
Showing posts with label advertising. Show all posts

December 17, 2009

Algorithmic (almost) content creation

This article from Wired on Demand Media and their demand-based creation and delivery of 'content' is an important movement on the Web (and off the Web too).

The choice quote is :
Instead of trying to raise the market value of online content to match the cost of producing it — perhaps an impossible proposition — the secret is to cut costs until they match the market value.


The costs to be cut are the costs of creation (manufacturing). The delivery costs are already nearly zero. Currently Demand Media is generating answers to unfulfilled questions using 'crowd sourcing' and blending media assets like video and photos and quickly written text. I wonder if someday even the text could be auto-generated.

I'm sure in the next six months we'll see a blooming of clones - 'DemandMedia for FooBar' style.

Quite a while ago I had thought about what it would take to build a content site with heavy automation on the gathering, review and approval of content. But I had not thought of optimizing that process based on audience demand. Quite clever really.

update
Just found this post on ReadWriteWeb from a writer that previously worked with DemandMedia - required reading to see things from the viewpoint of someone actually creating DemandMedia content.

Choice quote:
They [writers] appear to be overwhelmingly women, often with children, often English majors or journalism students, looking for a way to do what they love and make a little money at it.

Compare those demographics to Wikipedia: more than 80% male, more than 65% single, more than 85% without children, around 70% under the age of 30.

March 26, 2009

When not showing an ad is better

The Mike on Ads blog had an interesting post a while back referencing some research by Yahoo about how not showing ads might be better for you.


Instead of showing crappy CPA offers the publisher should show either nothing at all, or some relevant site content. Show a snippet of the friend-feed, or maybe a list of 'online friends'. Show "interesting related links", or "new photos posted"… it doesn’t really matter. Show something that is of interest to the user. The point of the exercise is to train the user to start looking at this specific space again.

[...]

If this is obviously so good, why is nobody doing it? Well there’s only one small insignificant problem… Publishers have no way of identifying the top 20% of impressions. You see, especially on social networking sites a huge portion of that 20% are impressions that are sold behaviorally via ad-networks and exchanges. Those ad-networks and exchanges need to see the full 100% to be able to cherry-pick the 10% that are valuable to them thereby making it quite difficult for the publisher to “not show ads” on worthless impressions.


Showing something other than ads when there is no money involved is a great idea. Unfortunately, most traditional ad networks have no interest or capability to do this. Even 'behavioral' targeting folks aren't in a position because they have only a few 'behaviors' rather than a full tagcloud of interests.

Our Others Online affinity profiling system has behaviors, interests and a measure of the commercial value of those interests which means we can power ad units that know when its the right time to show an ad, or whether it's better to show relevant news or other content.

December 09, 2008

Catalina - point-of-sale ad network

I wonder if they support cookies...


Armed with two years of purchase data for 80 million individual consumers, Catalina Marketing is this week launching a new in-store ad network called the Pointer Media Network.

The information comes from frequent shopper cards covering most of the nation's supermarket chains, thousands of drugstores and other retailers.

[...]

Pointer Media works like this: Catalina has installed color printers at the checkout counters of close to 50,000 stores around the country that are linked to the company's massive database of consumer purchases. When a shopper's order is rung up, the printer instantly creates a print ad on a receipt-size piece of paper based on the unique purchasing history of that shopper. The ad is handed to the shopper along with the receipt for the current purchase.

May 09, 2008

Ultimate Twitter revenue model - chatbots??

From ReadWrite Web

"Essentially, this would entail Twitter parsing over the Tweets of a given user, as well as the Tweets of the users he/she is following. Common keywords, themes, and phrases are then pulled from this data and associated with that user. As a result, highly-targeted ads can be displayed based on the user's network of content ("web design", for example). These simple text ads would look very similar to regular Tweets, but would be clearly marked as "Sponsored Content"."



I think chatbots haven't work for a reason - people want to chat not shop.

Reading RWW and other pundit blogs that describe "how the future will work" reminds of reading Popular Science as a kid and gazing in wonder at the flying cars and transparent house soon to be built.

February 01, 2008

Yowza! MicroHoo in the future?

Looks like Microsoft is serious about buying advertising's future - they have offered $44B for Yahoo.
Favorite punditry (from Stowe Boyd)

"Personally, I think the Microsoft and Yahoo matchup is like two tired swimmers who bump into each other and then wind up drowning each other in their scramble to survive. But Yahoo will be the first to go under in this embrace."


This one from iMe on Twitter is good too:


"Microsoft and Yahoo! Its like a blind man trying to lead a deaf guide dog...."

September 17, 2007

Facebook - the end is near

Ah, yes. Facebook is on the decline already - when I logged in this week, I got a an ad for Zwinky. Animated, colorful, annoying. Completely not me. Except the annoying part.

May 20, 2007

Branding ads and ad listings

I just saw this post on BoingBoing about this ars technica post on the psychology of banner ads which is interesting in light of Google's and Microsoft's recent acquisition of 'creative/banner ad' networks.

"The research concludes that repeated exposure to a product via banner ads generates a positive feeling towards that product. The good news for consumers is that a critical reevaluation of the product can make these positive feelings vanish." and
"This suggests that familiarity-based advertising may work best for impulse buys, where more detailed evaluations aren't likely to occur."

I found these two papers yesterday when reading up on economic theory and internet advertising. This one Internet Advertising and the Generalized Second-Price Auction - Selling Billions of Dollars Worth of Keywords is the most readable of the two and talks about the bidding process for online ad placement. They cover the history and describe the shift from "pay what you bid" to the current "pay the next lower bid" (called a 'generalized second price auction'). Really very interesting stuff.

The second paper Brand and Price Advertising in Online Markets looked at different fundamental forms of advertisements - brand advertising and 'price' advertising. I had high hopes for learning from it, but it was very dense with too much lingo specific to this research area for me to fully understand. Here's an example: In contrast to models where loyalty is exogenous, these crosschannel effects lead to a continuum of symmetric equilibria. Yeah, I, uh, was thinking the same thing.

Their models and assumptions also seem questionable and so I don't know that their results apply to the world we live in, as opposed to the simplified models they used to prove their theory. In any case, the questions being asked and the attempt to find answers are still valuable.

Here are their findings (and again, these may not really apply to the real world)
While each firm finds it optimal to advertise its brand in an attempt to “grow” its base of loyal customers, in equilibrium, branding (1) reduces firm profits, (2) increases prices paid by loyals and shoppers, and (3) adversely affects gatekeepers operating price comparison sites. Branding also tightens the range of prices and reduces the value of the price information provided by a comparison site.
Their research shows that brand advertising allows a firm to have higher prices, since loyal consumers aren't as price sensitive, but their conclusions are that profits are less - which I don't understand, unless the cost of creating the brand is very high. The Ars Technica post shows that other research continues to confirm that viewing brand ads creates a positive impression, which is one step towards converting shoppers into loyal customers.

This got me thinking about the various forms of advertising. The second paper distinguishes 'brand advertising' from 'informational advertising', which I agree is a useful distinction. I think of it in terms of how actionable the advertising is - how delayed is the payoff. For branding, the payoff is very indirect but could be profitable (or not, depending on which research you subscribe to) due to higher prices or repeat business or cutting out the competition through causing the customer to not engage in comparison shopping. For ad listings that show a very specific product or category, which are often a gateway to a purchasing decision, the payoff is fairly direct. Some even feel that the advertising cost model may evolve into 'cost per action' and go beyond 'cost per click'. However, cost per click is currently much easier to gather metrics in a two-way trusted fashion than measuring the final transaction in a two-way trusted fashion.

Another example of a very actionable advertisement is the Amazon or EBay offer listings - these are immediately purchasable, and through syndication via Associates are widely used as advertisements. I don't know of any company that does placement optimization of Amazon Associate links (raising placement for offer with better click through rates, better commission for the associate, etc), but I think Amazon has started doing some of that with Omakase links. One interesting thing to consider is that both Amazon and EBay are similar to price comparison sites due to the large number of offers for a single authoritative item (EBay doesn't have very good item authority, but people work around that issue by using manual searches). Getting top placement on an Amazon offer listing page, or in the 'buy box' on the details page, doesn't use an auction bidding process the way Google or Yahoo paid search listings do. The offer listing position is based on the offering price and estimated shipping costs.

May 19, 2007

Online Ad industry consolidation

So, what's up with all the acquisitions of online ad networks within the past 30 days?
  • Google purchased DoubleClick for $3.1B on 4/13/2007 (on revenues of $150M).
  • Yahoo purchased the remaining interest in RightMedia for $680M on 4/29/2007 (on revenues of $70M) They had purchased a 20% stake back in Oct 2006.
  • Microsoft acquired European mobile ad network ScreenTonic on 5/3/2007.
  • Microsoft acquired aQuantive for $6.1B on 5/18/2007 (on revenue of $442M).
  • AOL acquires major interest in Adtech AG on 5/16/2007.
  • AOL acquires mobile ad network Third Screen Media on 5/17/2007.
  • WPP Group acquired 24/7 RealMedia for $650M on 5/17/2007.

A few billion here, a few billion there, pretty soon you're talking real money.

What's happening is different for each player, but the overall trend is the same - expanding beyond paid listings into creative branding. Paid search was $6.7B last year and brand advertising was $3.3B. This interest in brand advertising may be a reaction to the expectation that television - which is mostly branding style ads - is moving online.

In Google's case, they are buying a company that has been successful with creative ads, essentially banner ads. Banner ads are the most common choice for branding rather than being used for actionable ad listings. They also inherit distribution agreements for AOL and MySpace, and more distribution capacity helps draw advertisers into Google to bid for placement.

Microsoft hasn't done well in any online ad segment - listings or branding - and with their acquisition they will be more involved with holistic ad campaigns and deep in the creative arena of advertising. The includes the ad agencies that do the actual construction of creative ads and create very innovative branding experiences like custom website which are blurring the lines between interaction and advertising. There may be some future tie-in with 'rich internet applications' and Silverlight. I may be wrong, but I don't see aQuantive providing additional distribution capacity - 'inventory' as the ad industry calls it. They of course claim it 'extends their platform'. Everything's a platform to Microsoft. Maybe they should simply try providing value instead.

The hope is that the contextual and behavioral profiling that is done for ad listings will be applied to better target brand advertisements. A requirement for this to work is for the ad network to know a lot about their audience - something that a single site cannot accomplish. Effective audience profiling is orthogonal to Web sites - orthogonal to the Web's organization. However, by looking at the architecture and technologies of the Web you can see the areas where this multi-site capability can exist :
  • clients such as rich internet applications, browsers and browser extensions like toolbars
  • intermediaries such as the proxies that ISPs like Comcast operate
  • compound resource structure of current Web documents. Since each resource can be retrieved from different domains, information can leak between domains.
Look for control or partnerships in these areas in the future.

April 16, 2007

DoubleClick and Google

There's been a lot of industry angst over Google's pending acquisition of DoubleClick. I'm fairly new to the game of online advertising so I don't know enough to predict the fallout.
Here are two good posts to read - the first is from Pulse360 Blog and is a sky-is-falling viewpoint. The second is better and is from Jordan's blog (the CEO of the startup I work for) and gives a good analysis of the value to Google and why they made the acquisition.

There are a lot of terms that I wasn't familiar with several months ago, so here is my cheat sheet of terms:

  • banner advertising - wide advertisement usually at the top of a page
  • inventory - this is what web page publishers have to offer, the space on their pages and the audience that will view those pages
  • remnant inventory - areas of a website that are not very popular and the web page publisher cannot charge lots of money for ad placement (because there are no viewers)
  • ad network - provider of ad listings
  • eCPM - effective click-per-mille (which is click-per-thousand page views)
  • creative - the 'creative content' that shows up in the ad listing. Google made big bucks doing just text and links and left the annoying flashing ads to others.
  • AdSense network - the Google system that provides ad listings to folks publishing web pages. It's supposed to provide an ad listing that is highly relevant to the page it is injected into, but that sometimes doesn't work.


(more words here)

It's interesting that the space on web pages is called 'inventory' - coming from Amazon I had a different view of 'inventory'. There are a lot of recurring themes between the world of product catalogs and inventory management that I am familiar with and the new world of online advertising. Maybe it'll all make sense eventually.