« March 2008 | Main | May 2008 »

April 2008

April 17, 2008

ComScore predictions versus Google performance actuals

One of my favorite bloggers, Paul Kedrosky, writes about the recent positive quarter by Google: Why Was Everyone Wrong-sided on Google?.

He summarizes:

  • Comscore data had people convinced that first-quarter paid click data was disastrous
  • It
    just made sense that online ad spending would be cut, especially given
    financial services dependency, and Google has to be hurt if/when that
    happens
  • Google missed (sort of last quarter), and everyone assumed the wheel had come off and stayed off

I wrote about the problems with panel-based measurement in a much earlier blog (November 2006) titled Are you using Alexa numbers? (Probably).

In it, I discuss several problems, some which specifically apply to Alexa, and some which apply to comScore as well. Then I go through the different ways that these panel-based measurement providers try to rebalance their data, using extra sources like ISP-level info, normalizing based on global demographic info, and using random-digit dial (RDD) to collect data. I hadn't read it in a while, but thought I'd dig it up for people who haven't seen it.

Net/net, while many analysts missed their mark on Google's projections, let me leave with a related thought:

What does it mean that these same, somewhat flawed approaches are driving the decisions of media buyers in a $40B+ global advertising industry?

:-)

Great stats on social media usage from an ad agency

Apologies for the light blogging, I've been tied up in Ad:Tech activities... (jk!)

I thought I'd share these recent slides from Universal McCann, one of the big ad agencies - there's some good numbers in here about global usage of social networking sites, activities, etc. Pretty interesting info.

April 12, 2008

Quick link: Long-tail private jets using agent-based simulations

Great article in The Atlantic this month: Taxis in the Sky.

I've played with some of the toolkits there are out there in the past - here's a toolkit called MASON multiagent simulation toolkit. I looked at them when I wrote some academic papers on simulating weaknesses in P2P networks - fun times.

April 10, 2008

MySpace versus Facebook: Winning in the US, Losing internationally

MySpace versus Facebook, Fight!
Several months ago, I bet my friend Arjun (then at Zillow, now at Facebook) that MySpace would continue to dominate Facebook. At the time, MySpace had 109M uniques per month, and Facebook had 47M uniques. While Facebook was growing faster at the time, MySpace had such a large multiple that I thought it was unlikely Facebook would catch up.

Yesterday I pulled up some stats, and found some interesting info:

Here's the US chart of uniques, MySpace versus Facebook:

And here's the global numbers for MySpace versus Facebook:

Wow.

Couple observations:

  • Both MySpace and Facebook seem to have reached some form of saturation in the US - both sites seem to have plateau'd, with MySpace having 2X the uniques of Facebook
  • Internationally, Facebook has narrowed the gap to the point where it's almost the bigger site - absent the recent couple months, where there's been a plateau
  • Of course, a corollary two above observations is that most of Facebook's new traffic is coming from overseas - from a monetization perspective, that's a bad thing btw

This tells you how hard it is to extrapolate from past data - from my previous mathematical models of web traffic, as you reach saturation on acquireable audiences, it becomes harder and harder fight the plateau effect. That's why oftentimes it's easier to focus on acquiring brand new audiences (like internationally) rather than fix something that's not working here in the US.

A test of the above paragraph is to watch the Facebook traffic - if it's unable to beat the plateau without fundamentally re-inventing the product, it'll mean that the site has hit its high water mark and won't be able to ever beat MySpace monthly unique levels in the US. (Which is all that matters for big brand advertising anyway)

Side thought:
If MySpace is losing internationally, I wonder if it's because MySpace is more distinctly "American" than Facebook, where the latter has more of a utilitarian feel that might be more applicable horizontally across cultures?

Side thought #2: I wonder if MySpace is continuing to beat Facebook in the US because the audience it represents a wider "mass media" audience than Facebook. Maybe MySpace::Facebook like People Magazine::Wired? See image below:

April 09, 2008

Woohoo, broke 3,000 subscribers today! New readers: Feel free to intro yourselves

Hi everyone,

Good news - just broke through 3k users yesterday for the first time! I'm sure it'll go up and down in the next while, but it's always great to see a new high water mark:

Here's how long it took me to get to this number - I started this blog about a year and change ago:

  • zero to 500: 9 months
  • 1000: 3 months
  • 3000: 3 months

The big jump from 1000 to 3000 was accomplished through a link from Robert Scoble, who has an amazing amount of traffic - far more than any link I've ever gotten from TechMeme, Delicious, YC News, or the like.

Anyway, if you're one of the new readers, feel free to shoot me a couple lines about yourself at voodoo [at] gmail. I'm always interested in hearing what folks are up to!

regards,
Andrew

Ads should be next to brand-elevating content

I've written in the past about brand advertisers being uncomfortable with having their ads show up next to social network ad impressions. Anyway, I ran into a funny slideshow I wanted to share.

Here are some hilarious examples of bad "editorial adjacency," some from retail, internet, and outdoor media:

April 08, 2008

Quick link on quant trading strategies

Great article, worth reading for those who have an interest in quantitative finance:
The New Math - Alpha Magazine.

April 07, 2008

5 factors that determine your advertising CPM rates

An interesting post at Techcrunch: Pubmatic Data Suggests Small Sites Command Higher Rates For Remnant Ads Than Large Sites.

I love seeing this cross-site ad monetization data, since it's rare to get your hands on it unless you work for an ad network. For people outside the ad industry, advertising CPMs seem like black-boxes.

How to guess CPMs - 5 factors
At Revenue Science, a regular game of mine was to eyeball a site and guesstimate the CPMs.

A couple of the factors that I'd use:

  1. Is the site "sticky" or is it a one-hit wonder (like a reference site)?
  2. Is the site pretty general, or is it in a particular category (like cars)?
  3. Who uses the site? Everyone (including international) or just US?
  4. How dependent is the site on Google SEO versus a community site that draws people back?
  5. How many pageviews does the site have? Is it a lot? Or is it a small amount

Easy to monetize, hard to monetize
For the people who are curious, this is the easiest to monetize:

One-hit wonder site that exist in a particular category, are based in the US, and have lots of search traffic

In particular, your site is likely to have high CTRs since people are in a "transactional" mode. If you have all of those, and have a ton of pageviews, then you'll make a ton of money.

The hardest to monetize?

Highly sticky sites that are general (like communication), based 100% outside of the US/Europe/Japan, with lots of pageviews

In a setup like this, not only are people unlikely to want to buy anything, even if they did, there'd be no way to make money off of this group.

Example categories
As a rough rule of thumb, I'd typically guess the following - these are very rough approximations, just to illustrate a couple points:

  • Social sites (forums/chat/etc) without direct ad sales teams: <$0.25 CPM
  • Largely international sites: <$0.50 CPM
  • Medium-sized sites that use banner ad networks: <$1 CPM
  • Reference sites in a specific category: >$5 CPM or sometimes much higher, depending on category - we ran into home improvement reference sites that did $20 CPMs

Because we were mostly dealing with so-called "remnant" advertising, these numbers are likely to be at the bottom of the range for these sites. That is, social networks might quote a CPM of $20 CPM, but what they really mean is that 1% of their inventory is sold at that, and the rest of the 99% is sold at <$0.25 prices.

As you can see, as a website property, you fall into either of two categories:

  • Horizontal sites used daily which command low CPMs with huge pageviews
  • Vertical sites that capture user intent - often used intermittently (with lots of traffic from search) with high CPMs and low pageviews

Horizontal sites, when scaled up to a large enough site, can employ direct ad sales teams that raise the CPM by a significant amount, but the entire process is demand-constrained.

Google is lucky to be both horizontal and vertical - it's used everyday by people, but also captures user intent.

As stated before, social networks monetize poorly

Of course, sites with lots of pageviews are often ones that are general, are sticky, and have lots of context-less social content. I've written up a broader discussion of social network monetization at "5 things that make your social network monetize like crap."

Back to small sites versus large sites
Now, the Techcrunch article discusses the idea that small sites monetize better than large ones. I think that's actually a correlation rather than a causation. There are a ton of small sites out there, and much of their traffic comes from Google. It's much harder to build a functioning social site where people coming back daily than a site where people occassionally stumble on it through their search engine.

As a result, my guess is that the mindset of the typical user includes intent - and that makes all the diference.

April 04, 2008

Your ad-supported Web 2.0 site is actually a B2B enterprise in disguise

Doing a B2C is more fun than a B2B right?
A lot of folks are doing consumer internet startups because they think Web 2.0 startups are more fun. You can focus on the end user, make them happy, get traction, and go from there. Enterprise software companies (or their equivalent brethren, SaaS companies) are perceived as annoying because:

  • You have to hire a big, inefficient sales team
  • Your numbers depend on closing key deals (usually at the end of the quarter)
  • You have to deal with annoying suit-wearing people who don't talk geek
  • You have to make your product better not through superior technology, but often through superior PR, sales operations, or other non-geek issues

Turns out that ultimately, you can't escape all of the above, even in the consumer internet world. Let's talk about why:

A quote from a guy who's been there, done that
Ted Rheingold, CEO of Dogster and Catster, recently commented on post How NOT to calculate ad revenues:

I can still recall our early heady days when we forecast revenue based upon our (over-calculated) pageviews and our expect (also over-calculated) network CPM. You can imagine our frustration when the network CPM was half what we hoped and they could only server us a fraction of the impressions we requested. Note to anyone: only sites with massive page serves can run a business on direct response ads.

In other words, unless you are a ridiculously huge consumer internet site, you have to build up your revenues through brand advertising sales. It's very hard to just use ad networks like Google AdSense to sustain yourself - just do the math using 10 to 25 cent CPMs and you'll quickly see why.

And brand advertising sales looks and feels exactly the same as enterprise sales, and has all the same annoying characteristics, including:

  • You have to hire a big ad sales team, potentially with an expensive office in New York
  • A small percentage of advertiser/agency relationships will supply a large chunk of your revenues. This means that "key deals" matter, and you will jump if they ask you to - for example University of Phoenix was worth $200MM/yr for AOL
  • Everyone you talk to in the ad industry are not nerds - many come from traditional media backgrounds, again with a NY bias
  • And fundamentally, brand advertising isn't a tech game - it's one based on great execution and great teams - so Silicon Valley tech companies often are at a disadvantage

The key thing here is: The users of your website are not really your customers.

Instead, the entire process of gathering eyeballs is just to sell to your ACTUAL customers, who are the ad agencies and advertisers. Get it? Your Web 2.0 consumer startup is actually a B2B that sells inventory to brand advertisers.

All your hard work is just to create B2B ad inventory
At an extreme, all the love and effort you put into your consumer internet product ultimately generates a commodity. All it does is generate ad impressions, which are sometimes rare enough to be sold at a premium to ad agencies. While many companies are able to exit with the monetization potential there, but not fulfilled (i.e. YouTube), for most companies that want to hit it big, they have to focus on the transition point between generating ad inventory and monetizing ad inventory.

This transition point is a big sticking point for companies, because the folks who are best at creating product specialize in consumer-centric skills like user experience, technology, and operations, whereas the skills needed for successful B2B ad sales revolve around issues like being able to sleep on airplanes, schmoozing with advertisers, speaking at panels, and other soft-skills.

How to avoid this mess
Of course, one way to completely sidestep these issues is to directly monetize your users - this is pretty hard, because you have to deal with transaction processing, coming up with something so compelling people will pay for it, and a number of other problems.

Net/net, the approaches here that align you directly with your customers are business models like:

  • Subscriptions
  • Virtual goods
  • E-Commerce
  • etc

While putting off ad monetization might be the easier thing to do in the short-run, the above business models may have useful characteristics of their own in the long-run.

April 02, 2008

Innovation from Asian-based social sites

Found on Noah Kagan's blog - an interesting slide deck on new business models from Asia-based social networking sites. Definitely worth looking at.

ABOUT THIS BLOG

  • Futuristic Play

    My name is Andrew Chen and I'm an entrepreneur living in San Francisco, CA. This blog covers my thoughts on metrics, viral marketing, user experience, game design, and online advertising.

    I don't write often, so sometimes the easiest thing to do is to subscribe to my blog (which you can do below).

Enter your email address:

Delivered by FeedBurner

Contact me

My Photo

Recommendations by Amazon

ESSAYS ON VIRAL MARKETING, ONLINE ADS, AND GAMES

AdRoll

  • AdRoll

Google Analytics