Data Feed Optimization

Google Shopping Shipping and Tax

by Spencer on December 15, 2011

If you have been having issues with your shipping costs not showing properly in Google Product Search but are unable to figure out why, we may have an answer for you. Google Merchant Center says that you must specify shipping cost in either the data feed or in the Merchant Center, but not both. We have found this to not be the case. You must enter a shipping cost into the Merchant Center, which will apply the same cost across the board. If you want to specify differing costs for individual states, then you must enter shipping costs into the data feed as well. The information in the data feed serves as an override, so if you don’t have shipping costs added into Merchant Center then it has nothing to override and won’t work.

Google Product Search Screenshot Example

Have you experienced a similar problem? Have any comments or suggestions? Please feel free to share in the comment box below.

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Google Analytics: A Closer Look

by Spencer on December 12, 2011

See how Google Analytics has changed and how it can affect eCommerce

The new version of Google Analytics isn’t exactly new; it’s been available for months. However, many have avoided it for the sake of efficiency, especially those in eCommerce. While the old version runs fine and has become comfortable for many people, the new features and available data make switching over a logical decision. The decision to make the move might soon be made for you, as Google has begun making it the default version and gives me the impression that the old version may not be around for much longer.

The most noticeable change is the new interface. A first glance, especially for those of you who have been using GA for a long time, will likely strike you with terror. You’ve probably thought, “I can’t find anything here,” as you move your cursor to click ‘Use Older Version.’ However, if you take some time to look around, you’ll find some things that might excite you. Everything has been streamlined and the interface is more intuitive. Google has crammed a ton of information into drop tabs that nicely organize into a few main categories. Here are some of the more noticeable changes:

  • Site overlay is now known as In-Page Analytics. It’s also now listed under the content tab. It’s been around for about a year now in Beta testing on the old version and is fully operational in the new one.
  • Mobile traffic tracking has been expanded to show manufacturer, model, interface type, OS and more while featuring all the same attributes as your standard traffic tracking. You can even see how many transactions came from these phones, which has great eCommerce potential.
  • A Visitor Flow graph has been added to show how people are navigating a site and can be sorted by a variety of filters.
  • Multi-channel funnels have been added, as well as assisted conversions, allowing you to see exactly how different channels are working together. Seeing how many conversions are coming from what campaigns is a powerful tool.
  • A Social Media component has been integrated, allowing you to use Analytics to track the effectiveness of your Twitter, Facebook and other Social Media campaigns in conjunction with the rest of your marketing strategy.

It’s important to note that these new features require no additional JavaScript or variables to be added to your site. They all come featured.

My favorite portion, aside from the new interface, is the change in the conversion attribution algorithm, which in turn also changes how GA defines a page visit. Before, a “visit” was defined as the user landing on the Web site. Regardless of how many times the user came back, one session was counted as one visit no matter how many referring sites there were and conversions were awarded to the last referring site before the purchase. The problem with this was that it was impossible to accurately track visits from mailing campaigns, organic traffic, etc. This has all changed.

Session and Visit Metric Changes

Now, a user’s session ends once they leave the website. So, if I use Google search to land on VerticalRail.com, click around a bit and leave the site to go to Facebook then that session ends. It is counted as a visit from Google and a new session begins once Facebook lands me on the page. Even if I use Facebook to turn around and come right back to the same site, it still registers as a visit from Google and now a visit from Facebook. Also, if I don’t leave the landing page and then go to Facebook, this counts as a bounce for Google, even if I use Facebook to take me right back to the site. This also ignores time spent on page. So, if I used Google to land on this blog page, read it, left it open for 15 minutes and then left for Bing, it would still be counted as a bounce. Basically, no matter what engine or link brings a user to a site, that referring site gets credited a visit and the session immediately ends once they leave. There is no longer a 29 minute inactivity period before a session is terminated.

Additionally, a user is only counted as a “new visitor” on their first session on the page. Once they leave the site and arrive again, a new session begins and they are considered a “returning visitor” from now on. Is this indefinite? Will someone be listed as a new visitor again if they clear their cookies? Is it based on a session ID? These are all questions that come to mind but remain unanswered. There is currently a feature that allows Analytics to track Time to Purchase, so I would assume there exists a way to indefinitely track a user’s history with a site, but I can’t be certain. We’ll be keeping an eye on it to see how it unfolds.

All of these things lead me to believe that Google is trying to address many of the accuracy issues that led people to using GA in conjunction with programs like Omniture and the like. It’s important to remember that with these changes, it’s essential to pick one analytics program and stick with it. Google Analytics is going to show different metrics than other programs and it leaves room for error if used in conjunction with other statistics programs. A more streamlined interface combined with increasingly robust data makes it an incredibly valuable and powerful resource, especially for those in eCommerce. Overall, I believe that the direction Google is taking GA is a great step in the direction of being able to use a singular analytics program instead of having to juggle multiple ones. I’m truly excited to see what 2012 will bring to bear.

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Google Shopping Holiday Feed Restrictions

November 23, 2011

Ecommerce businesses that participate in Google’s comparison shopping engine, Google Shopping, should take notice of a few changes for the holiday season.

According to this recent update from Google, new data feeds submitted after November 22, 2011 will be restricted to 500 products until further notice. It’s important to note, existing feeds will remain unaffected. This is most likely due to expected traffic increases during the holiday season and will likely [...]
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New Google Product Search Data Feed Requirements – United States

July 15, 2011

eCommerce companies who participate in Google’s comparison shopping engine, Google Product Search, could see a decline in referrals come September 22, 2011. Google has released a new version of required attributes, intended to make the comparison shopping experience better the for end user. Online retailers may find themselves in dire straights, mobilizing to address those new requirements. Google has slated attribute requirements will have a deadline of September 22, 2011. At that time, feeds with products that do not [...]
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How TheFind.com is Redefining Comparison Shopping Search

July 16, 2010

TheFind: Defined

TheFind.com started from humble beginnings like many successful businesses before it.  An entrepreneur with seven successful ventures behind him listened to his wife softly vent about how difficult it was to not only find products and prices but also adequate merchant details and policies while shopping online.

The entrepreneur, in an effort to help his wife obtain a more fulfilling shopping experience did what every good Silicon Valley entrepreneur and husband would do… he designed a shopping engine.

Siva Kumar’s “honey-do” [...]
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Data Feed Optimization Discussion – Palo Alto – SVAMA

February 18, 2010

The Silicon Valley American Marketing Association is hosting a discussion on Data Feed Optimization as part of an explosive e-commerce marketing plan.  If you are in the Palo Alto area and can swing it, you should not miss the Web Strategy Morning Forum.

From the SVAMA event description -

“E-Commerce sales are skyrocketing. Comparison Shopping Engines are the new shopping malls. Window shopping is now Microsoft Windows shopping. Prepare your e-commerce business for what’s next.

Linda Bateman of VerticalRail.com will host a discussion [...]
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What is Data Feed Optimization or… "Data Feed Optimization, we already do Search Engine Optimization?"

December 30, 2009

E-commerce marketing is experiencing a welcomed re-birth, and it only stands to get better. With the combination of emerging technologies, m-commerce, social commerce and comparison shopping engine opportunities, it’s becoming hard for even the most seasoned e-tailer to know if they are doing everything they can to stay ahead of the competition.

When Google Product Search began using a relevancy algorithm (2008) to determine product-specific search results, the landscape of comparison shopping changed. This landmark change which determines how and why [...]
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It's November… Do you Know Where Your Products Are?

November 2, 2009

The holiday shopping season is already underway.  Long gone is the time that  holiday shopping kicked off the day after Thanksgiving.  Retail shelves are already full of holiday offerings.  What is amazing is that shopping carts are already full of holiday products.

I ventured into the local Walmart on Halloween fully expecting aisles full of families gathering that last bag of candy in preparation for evening festivities. I was truly shocked. The gardening section of the store had already been transformed into [...]
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Just Create a Data Feed… Yeah Right.

September 2, 2009

Product data feed optimization is simple.  All you have to do is figure out if you can generate a feed from within your e-commerce platform that will perfectly map your product’s attributes to accepted and required attribute fields of each comparison shopping engine.  If that can’t be done, you need to find a way to gather the required information and set up a feed on your own.  The majority of CSE’s will accept a data feed in one of three [...]
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Pay Per Click Fraud Leaves Internet Marketers Looking for Better Solutions

May 15, 2009

In the New York Times this week, Susanna Hamner relayed some great information to readers about the true effects of click fraud, related to pay per click advertising. In her article, Hamner focuses on the automotive retailer industry and points to a substantial number of advertising pay per clicks that originate in locations where these retailers are not doing business, such as Bulgaria and Indonesia.

One point that Hamner makes soundly, is that Google and Yahoo differ in reporting to their [...]
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