Chart bid history in DS

With the latest DoubleClick Search (DS) release, you can now chart Max CPC as a metric in the performance summary graph. This gives you a great visual representation of a keyword’s bids over time. With one glance, you can see:

• How frequently the bid is updated. We chart intra-day bid changes, so if a bid was updated 10 times in a day, there will be 10 time markers on the graph.


• How the bid is trending over time. Are the changes gradual, drastic, increasing or decreasing, etc.


• How the bid changes have affected other metrics. The Max CPC bids can be charted at the same time as any other metric, such as Cost.


• How the Performance Bidding Suite is managing your keyword. If the keyword is in a bid strategy, you’ll get greater visibility into DS-managed bid changes.

To chart a bid history:

1. Go to a Keywords page in the UI.


2. Select one keyword in the statistics table and click Filter to selected.


3. In the upper righthand corner of the performance summary graph, select Max CPC as a metric.


4. You may also want to select a second metric like Cost, so you can see how cost correlated with your bids over time.

Learn more about charting a bid history in the Help Center.

Posted by the DoubleClick Search team

Scheduled Release track features update 8/7/12

No new features to announce.



The following features are intended for release to these domains on August 14th:

Calendar: Users have had the ability to change the colors of calendars from a default color palette. Users can now choose a custom color if the default palette does not meet their needs.



Release track: 

Scheduled*



Editions included:

Google Apps, Google Apps for Business, Government and Education



For more information:

http://support.google.com/calendar/bin/answer.py?hl=en&answer=37227



whatsnew.googleapps.com

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Named & Protected Ranges and Border Styles in Google Spreadsheets

Named & Protected Ranges: Users now have the ability to name a range in a spreadsheet. You can then protect such a named range instead of protecting the whole sheet. You can also use the name of the range in formulas.



Border colors: Users can now pick the color and style of cell borders. This features is accessible as an added option through the cell borders toolbar button.



Release track:

Rapid



Editions included:

Google Apps, Google Apps for Business, Government and Education



For more information:

http://support.google.com/docs/bin/answer.py?hl=en&answer=63175



whatsnew.googleapps.com


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Introducing Agile Creativity

Join us tomorrow, August 8th, at 10am PDT/1pm EDT for a special Google+ Hangout On Air featuring advertising industry executives in conversation with Google engineers.



Over the past year we’ve had many discussions with ad agency executives about how they are reinventing their business models to excel at the pace of digital. Many of our agency partners are applying practices inspired by the tech world in order to work faster and more collaboratively.



Tomorrow, August 8th, we will be hosting a live streamed panel called “Coders and Creatives: Two Angles on Agility”, where we'll uncover the links between agile practices at play at Google and in the advertising world. Torrence Boone, Managing Director of Agency Business Development at Google will moderate the conversation between:

• Greg Andersen, CEO BBH NY


• John Boiler, CEO, 72andSunny 


• Engineers from Google+ and Google[x], the group that developed Google Glass and the self-driving car

We hope you’ll be there and be inspired to maximize the agility of your agency with some of the concepts discussed. RSVP for the event to have it appear in your calendar. If you have a question for the panel, leave your questions as a comment on our hangout announcement post.



On August 8th at 1pm EST, to view the Hangout on Air, visit the Think with Google Google+ page, look for the “Hangout on Air” post within the stream, and click “Play” to tune in. Don’t forget to be signed into Google+!



Posted by Torrence Boone, Managing Director of Agency Business Development, Americas

Webinar this Thursday: Multi-Channel Funnels

Over the past few months, we’ve hosted a series of webinars on marketing attribution, exploring how you can get better results by understanding and valuing your customers’ full journey -- from the first ad they see until they make a purchase.







This week, please join Neil Hoyne, Google’s Global Program Manager for Attribution, for an in-depth look at Multi-Channel Funnels. Neil will discuss how Multi-Channel Funnels can reveal customer interactions across different digital media, show how these channels work together to create sales and conversions, and how these tools tie to the larger attribution narrative. We’ll explore the different reports and discuss how to get the most out of Multi-Channels Funnels to improve your campaign performance.



Date: Thursday, August 9, 2012

Time: 9am PST / 12pm EST / 5pm GMT

Register: http://goo.gl/B49ma



Hope you’ll join us on Thursday!



Posted by Sara Jablon Moked, Product Marketing Manager for Conversion and Attribution

Neural Network for Breast Cancer Data Built on Google App Engine

Today’s guest blog post comes from 17-year-old Brittany Wenger, the winner of this year’s Google Science Fair. Brittany built an application on Google App Engine called the "Global Neural Network Cloud Service for Breast Cancer." This artificial neural network can detect complex patterns in data, learning how to classify malignant or cancerous cells it hasn’t seen before. Learn more about her project. 







When a patient has a palpable breast lump, the first step a doctor takes is to determine whether the mass is malignant or benign. One relatively simple diagnostic procedure is a form of biopsy called fine needle aspiration (FNA). Though these tests are less invasive than others, they are historically less accurate as well. My goal was to create a tool for doctors to use when interpreting test results from these procedures.



For this project, I decided to create a neural network built on Google App Engine, using data published to the Machine Learning Repository by the University of Wisconsin. A neural network attempts to replicate the brain as a form of artificial intelligence through networks of computers and can be used to detect extremely complex patterns. It learns from its mistakes, so it can classify a case it hasn’t seen before as malignant or cancerous based on specific criteria like clump thickness or bland chromatin. Because the diagnostic power of the network improves the more data it has, building on App Engine is a way to ensure the app can continue to scale easily, no matter how much information goes into the system.

         

I got started integrating my neural network application code, written in Java, with App Engine in a few hours using the SDK’s Greeting Service sample code as a starting point. The application has two main parts, a training module, that implements the neural network itself and runs the training process over the input data stored in static files, and a web interface that takes input data and returns the network’s analysis.



Google App Engine provides the scalable infrastructure I need to collect information from every hospital in the world and run when there are many concurrent requests, as usage of my application increases. Because my network is built as a cloud service, not only is my app working on the web, but mobile tablets, smartphones, old PC systems, or new technologies can also easily access the service from any hospital with an internet connection.



The neural network I developed is 99.11% sensitive to malignancy when using leave-one-out testing with original data. Thus far, I have run 7.6 million trials. Moving forward my goal is to make the application accessible to the global medical community so more data can be deposited and used to improve the diagnostic power of the network.

DoubleClick Search: Manage your search campaigns around the clock

For improvements in search management worflow, DoubleClick Search has just announced two new features for increased automation: scheduled uploads (available now) and scheduled interface edits (coming soon).



These new features will enable advertisers to work during their regular hours and still have DS work on their campaigns 24 hours a day, 7 days a week.

The addition of scheduled uploads and scheduled interface edits contribute to one of DS’s key strengths - providing a powerful, flexible workflow that lightens the management load on your team, allowing them to concentrate on higher-level tasks.



 For more information on these two automation features, visit the DoubleClick Search blog.