New Google Ad Planner

Dusan's User Interface challenge
Image by moggs oceanlane via Flickr

The new Google Ad Planner is really nice-seems better than old Adwords interface, though needs a UI redesign before it can complete with the clean cut slice and dice of Facebook Ad Planner.

It’s the interface, stupid that makes an Iphone sell more than the Symbian even with 90% functionality. Same reasons why Google Storage is okay but Google Prediction API gets slower liftoff than Amazon Console (now with FREE instances) – though the R interface to Prediction API sure helps.

Prediction API is a terrific tool dying for oxygen out there (and will end up like Wave- I hope not)

Sometimes you need artists as well as engineers to design query tools, G Men- and guess the Double Click anti trust rumours have quietened down enough because why the heck did double click interface integration take so loooong.

( and btw why cant Google just get into the multi billion dashboard business if they can manage ALL the data IN THE INTERNET ——they sure can do it for specific companies- – but wait-

they are probably waiting for AsterData to stop sucking thumbs ,chanting on MapReduce SQL,  MapReduce SQL nursery rhymes and start inventing NEW STUFF again (or atleast creating two product brands from nCluster (when you and I were in school together giggle)

Btw the time Google make up their mind to enter BI or wait for Aster to finish- IBM would have gulped and burped all there it is- and thats the way that market rolls.

Back to Ad s and Mad Men.

Here are some screenshots-of the new Google Ad Planner-

I found it useful to review traffic for third party websites (even better than Google Trends) and thats a definite plus over Facebooks closed dormitory world of ads.

Click on them for some more views or go straight to http://google.com/adplanner and Enjoy Baby!

Which websites attract your target customers?

View a site listing: 

Ad Planner top 1,000 sites

Refine your online advertising with DoubleClick Ad Planner, a free media planning tool that can help you:

Identify websites your target customers are likely to visit

  • Define audiences by demographics and interests.
  • Search for websites relevant to your target audience.
  • Access unique users, page views, and other data for millions of websites from over 40 countries.

Easily build media plans for yourself or your clients

  • Create lists of websites where you’d like to advertise.
  • Generate aggregated website statistics for your media plan.

and

Take charge of your DoubleClick Ad Planner site listing

View a site listing: 

Ad Planner top 1,000 sites

DoubleClick Ad Planner is a media planning tool where advertisers find sites for their media buys. As a site owner, you can access the DoubleClick Ad Planner Publisher Center and
Market your site
Write a site description to present your audience and unique value to advertisers.
Help advertisers search for you
Choose categories for your site and ad formats you support.
Improve the data that advertisers see
Share your Google Analytics data to reflect the most accurate traffic numbers for your site.

 

Deduping Facebook

How many accounts in Facebook are one unique customer?

Does 500 million human beings as Facebook customers sound too many duplicates? (and how much more can you get if you get the Chinese market- FB is semi censored there)

Is Facebook response rate on ads statistically same as response rates on websites or response rates on emails or response rates on spam?

Why is my Facebook account (which apparently) I am free to download one big huge 130 mb file, not chunks of small files I can download.

Why cant Facebook use URL shorteners for the links of Photos (ever seen those tiny fonted big big urls below each photo)

How come Facebook use so much R (including making the jjplot package) but wont sponsor a summer of code contest (unlike Google)-100 million for schools and 2 blog posts for R? and how much money for putting e education content and games on Facebook.

Will Facebook ever create an-in  house game?  Did Google put money in Zynga (FB’s top game partner) because it likes

games 🙂 ? How dependent is FB on Zynga anyways?

So many questions———————————————————— so little time

 

R Apache – The next frontier of R Computing

I am currently playing/ trying out RApache- one more excellent R product from Vanderbilt’s excellent Dept of Biostatistics and it’s prodigious coder Jeff Horner.

The big ninja himself

I really liked the virtual machine idea- you can download a virtual image of Rapache and play with it- .vmx is easy to create and great to share-

http://rapache.net/vm.html

Basically using R Apache (with an EC2 on backend) can help you create customized dashboards, BI apps, etc all using R’s graphical and statistical capabilities.

What’s R Apache?

As  per

http://biostat.mc.vanderbilt.edu/wiki/Main/RapacheWebServicesReport

Rapache embeds the R interpreter inside the Apache 2 web server. By doing this, Rapache realizes the full potential of R and its facilities over the web. R programmers configure appache by mapping Universal Resource Locaters (URL’s) to either R scripts or R functions. The R code relies on CGI variables to read a client request and R’s input/output facilities to write the response.

One advantage to Rapache’s architecture is robust multi-process management by Apache. In contrast to Rserve and RSOAP, Rapache is a pre-fork server utilizing HTTP as the communications protocol. Another advantage is a clear separation, a loose coupling, of R code from client code. With Rserve and RSOAP, the client must send data and R commands to be executed on the server. With Rapache the only client requirements are the ability to communicate via HTTP. Additionally, Rapache gains significant authentication, authorization, and encryption mechanism by virtue of being embedded in Apache.

Existing Demos of Architechture based on R Apache-

  1. http://rweb.stat.ucla.edu/ggplot2/ An interactive web dashboard for plotting graphics based on csv or Google Spreadsheet Data
  2. http://labs.dataspora.com/gameday/ A demo visualization of a web based dashboard system of baseball pitches by pitcher by player 

 

 

 

 

 

 

 

3. http://data.vanderbilt.edu/rapache/bbplot For baseball results – a demo of a query based web dashboard system- very good BI feel.

Whats coming next in R Apache?

You can  download version 1.1.10 of rApache now. There
are only two significant changes and you don’t have to edit your
apache config or change any code (just recompile rApache and
reinstall):

1) Error reporting should be more informative. both when you
accidentally introduce errors in the Apache config, and when your code
introduces warnings and errors from web requests.

I’ve struggled with this one for awhile, not really knowing what
strategy would be best. Basically, rApache hooks into the R I/O layer
at such a low level that it’s hard to capture all warnings and errors
as they occur and introduce them to the user in a sane manner. In
prior releases, when ROutputErrors was in effect (either the apache
directive or the R function) one would typically see a bunch of grey
boxes with a red outline with a title of RApache Warning/Error!!!.
Unfortunately those grey boxes could contain empty lines, one line of
error, or a few that relate to the lines in previously displayed
boxes. Really a big uninformative mess.

The new approach is to print just one warning box with the title
“”Oops!!! <b>rApache</b> has something to tell you. View source and
read the HTML comments at the end.” and then as the title implies you
can read the HTML comment located at the end of the file… after the
closing html. That way, you’re actually reading how R would present
the warnings and errors to you as if you executed the code at the R
command prompt. And if you don’t use ROutputErrors, the warning/error
messages are printed in the Apache log file, just as they were before,
but nicer 😉

2) Code dispatching has changed so please let me know if I’ve
introduced any strange behavior.

This was necessary to enhance error reporting. Prior to this release,
rApache would use R’s C API exclusively to build up the call to your
code that is then passed to R’s evaluation engine. The advantage to
this approach is that it’s much more efficient as there is no parsing
involved, however all information about parse errors, files which
produced errors, etc. were lost. The new approach uses R’s built-in
parse function to build up the call and then passes it of to R. A
slight overhead, but it should be negligible. So, if you feel that
this approach is too slow OR I’ve introduced bugs or strange behavior,
please let me know.

FUTURE PLANS

I’m gaining more experience building Debian/Ubuntu packages each day,
so hopefully by some time in 2011 you can rely on binary releases for
these distributions and not install rApache from source! Fingers
crossed!

Development on the rApache 1.1 branch will be winding down (save bug
fix releases) as I transition to the 1.2 branch. This will involve
taking out a small chunk of code that defines the rApache development
environment (all the CGI variables and the functions such as
setHeader, setCookie, etc) and placing it in its own R package…
unnamed as of yet. This is to facilitate my development of the ralite
R package, a small single user cross-platform web server.

The goal for ralite is to speed up development of R web applications,
take out a bit of friction in the development process by not having to
run the full rApache server. Plus it would allow users to develop in
the rApache enronment while on windows and later deploy on more
capable server environments. The secondary goal for ralite is it’s use
in other web server environments (nginx and IIS come to mind) as a
persistent per-client process.

And finally, wiki.rapache.net will be the new www.rapache.net once I
translate the manual over… any day now.

From –http://biostat.mc.vanderbilt.edu/wiki/Main/JeffreyHorner

 

 

Not convinced ?- try the demos above.

Is 21 st century cloud computing same as 1960's time sharing

Diagram showing three main types of cloud comp...
Image via Wikipedia

and yes Prof Goodnight, cloud computing is not time sharing. (Dr J was on a roll there- bashing open source AND cloud computing in the SAME interview at http://www.cbronline.com/news/sas-ceo-says-cep-open-source-and-cloud-bi-have-limited-appeal)

What was time sharing? In the 1960’s when people had longer hair, listened to the Beatles and IBM actually owned ALL computers-

http://en.wikipedia.org/wiki/Time-sharing

or is it?

The Internet has brought the general concept of time-sharing back into popularity. Expensive corporate server farms costing millions can host thousands of customers all sharing the same common resources. As with the early serial terminals, websites operate primarily in bursts of activity followed by periods of idle time. This bursting nature permits the service to be used by many website customers at once, and none of them notice any delays in communications until the servers start to get very busy.

What is 21 st century cloud computing? Well… they are still writing papers to define it BUT http://en.wikipedia.org/wiki/Cloud_computing

Cloud computing is Web-based processing, whereby shared resources, software, and information are provided to computers and other devices (such as smartphones) on demand over the Internet.

 

 

Google Instant could kill Black-Hat SEO

Google Instant is a relatively newer feature in Google Search Engine- it suggests websites at each type of keyword rather than wait for you to type the whole keyword.

The impact on user experience is incredible- rather than search or scroll through the results- you are more likely to click on the almost one of the ten websites you would have seen by the time you finished typing- or just clicking on the relevant ad (which probably changes on the right margin as fast as the websites below)

This spells a death for all those who indulged in black hat SEO– or link building, link exchanging- as these techniques pushed up your rank in search page only incrementally and rarely to the top 2-3 for a keyword.

Remember the size of the screen is such that each Google instant snapshot basically shows you or rather makes you focus on the top ranked search (and then presumably type on to get a newer result- rather than scroll down as the case was before).

It would be interesting to see or research the effect of keywords in the auction pricing, as well as compare those keyword pricing with Bing.com- Maybe there should be a website api tool for advertisers -like Adwords Instant that would show them the price instantly of keywords,comparison with Bing AND the search engine results for the keyword in a visual way.

Anyways- it is a incredible innovation and it is good Google is back to the math after the flings with being “Mad Men” of advertising.

and yes- I heard there is a new movie coming- it is called “The Search Engine” 🙂

An interesting web hack is Google Images Instant athttp://hartlabs.net/instant/images/