Filed under: Web Analytics | Tags: Developers Challenge, Omniture, SiteCatalyst
Back in March Omniture announced our $25K Partner Developer Challenge. The challenge offered first and second place prizes of $15K and $10K respectively, plus the opportunity to promote the winning applications to Omniture customers.
Finalists were selected recently and they have recently announced three winners, one for first prize, and tie for second prize.
Finalists were chosen based on three core criteria which they call the “three C’s”: Commercial value – are their customers or other developers likely to see value in the application?; Creativity – is this something interesting and new, or is it a rehashing of an old idea? Consumability – is it well-documented? Is it well-understood what the application is and what it does? After evaluating submissions based on these criteria, their platform product leadership team selected three winners.
Filed under: Search, Web Analytics | Tags: Bing, Omniture, Search Center, SiteCatalyst
This capability enhances the robust search campaign management tools of Omniture SearchCenter and the analytics and reporting functionalities of Omniture SiteCatalyst to allow online marketers running search campaigns on Bing to:
- View natural search results together with paid search results from Bing, then use that data to optimize paid search campaigns by adding top performing natural keywords to their paid search campaigns
- Manage Bing search campaigns alongside campaigns from over a dozen other search engines, including Google and Baidu, through a single user interface and management dashboard
- Make more informed, data-driven decisions about paid and natural search campaigns across all search engines
Filed under: Behavioural Targeting, Optimisation, Predicitive Modelling, Web Analytics | Tags: Omniture, Quantivo, SiteCatalyst
On-demand behavioral analytics provider Quantivo recently announced a product to integrate with Omniture’s Web analytics solution SiteCatalyst.
Whereas Omniture tracks the number of visitors to a company’s Web site, Quantivo’s integration product, which Chief Executive Officer Brian Kelly calls “the adapter,” will help SiteCatalyst users make sense of the identities of those visitors.
In doing so, companies can better understand customer behavioral patterns — based on Web-site visits, transactions, marketing responses, and other events — and improve the targeting accuracy of marketing messages and on-site recommendations.
According to Kelly, trends in online customer behaviors are emerging, changing, and disappearing so quickly that companies now demand a solution that can handle a sudden influx of data and quickly turn that data into something meaningful.
“Big massive trends develop and diminish within a week,” Kelly says. “You don’t have time for some Ph.D. statistician to build a predictive model. [Oftentimes], it’s not something you can predict.”
In other words, while historical transaction data (and common sense) may help predict that sweater sales rise in the winter, that information is of little use for a retailer hoping to foresee which color will be most popular.
Filed under: Web Analytics | Tags: Coremetrics, Google Analytics, SiteCatalyst, Tealium, Unica NetInsight, Webtrends
Tealium has announced the general availability of Tealium Social Media, a new measurement service for social media and online PR that’s tightly integrated into web analytics. The service is designed for marketing professionals who use social media and online PR as marketing vehicles to generate awareness and demand, and require side-by-side comparison with other marketing channels.
How does it work? Consider this scenario:
A visitor is in the market for CRM software and comes across a blog comparing various CRM programs. The blog mentions a number of CRM applications that the visitor had no previous knowledge of, including SugarCRM and NetSuite. Because of the great feedback in the blog, the visitor decides to go to SugarCRM by doing a search for “sugar crm” on Google. This leads the visitor to sugarcrm.com, where the visitor requests a personal demo.
With traditional web analytics, this conversion would be attributed to Google. With Tealium Social Media, the conversion will also be attributed to the original blog that started everything.
Tealium Social Media is a web analytics plug-in that is integrated into popular web analytics solutions: Google Analytics, SiteCatalyst, Unice NetInsight, WebTrends, Coremetrics, etc. This means you can get your social media ROI measurement directly inside your existing web analytics account.
Filed under: Mobile, Web Analytics | Tags: Google Android, Omniture, SiteCatalyst
Omniture, today announced the availability of a new mobile application for Omniture SiteCatalyst designed to work on mobile devices running Google Android. Omniture SiteCatalyst for Google Android is the first online business analytics application for tracking web, mobile and video now available on Android Market.
Omniture has created a SiteCatalyst Widget that allows you to add reportlets from SiteCatalyst Dashboards to your aggregator/portal of choice (iGoogle, My Yahoo, etc.
Filed under: Business Intelligence, Data, Segmentation, Web Analytics | Tags: Data Warehouse, Omniture, SiteCatalyst
What is Omniture DataWarehouse?
Omniture DataWarehouse is a repository of SiteCatalyst data that stores information similar to that which you can see in SiteCatalyst. While many customers think DataWarehouse is only a backup of their data, it is actually much more than that. To understand DataWarehouse, you need to first understand how it differs from SiteCatalyst. Want to know more: http://blogs.omniture.com/author/agreco/
Filed under: Web Analytics | Tags: Fallout Report, Next Page Flow, Omniture, Pathing, SiteCatalyst, Web Analytics
For most Omniture SiteCatalyst customers, Pathing Analysis is something with which they are pretty familiar. After all, one of the primary reasons to use a web analytics package is to be able to see how site visitors are traversing the pages of your site.
What is Pathing?
Traditional Pathing Analysis consists of viewing flow reports which show you how often site visitors go from Page A to Page B or Page C on your site. By simply having Omniture SiteCatalyst code on your site pages, you will be able to see several different pathing reports right out of the box. Pathing is commonly used to analyse key website process flows in hopes of identifying opportunities for improvement. For example, you may notice that an unusually high number of site visits show pathing exits after viewing the “Shopping Cart” page. After you have several months worth of data, you should be able to baseline your standard pathing exit rates and then make changes to key pages and see if these changes have a positive or negative effect.
There are eighteen pathing reports available in SiteCatalyst. Here are the most common:
Next Page Flow
This report allows you to see two levels of pathing from the selected page so you can visually see where visitors are going from the selected page. The thickness of the bars is representative of the percentages.
The fallout report allows you to add several pages to a canvas and see how often visitors viewing the first page in the canvas viewed the second page and how often those viewing the second page viewed the third, etc… It is important to understand that the visitors do not need to have viewed the pages in the exact order indicated on the canvas, but rather, need to have viewed them in the specified order to be included in the fallout report. While you can only add a finite number of pages to a fallout report in SiteCatalyst, you can add many more to the canvas if you use Omniture Discover.
The pathfinder report allows you to add pages to a canvas, but also provides the ability to add wild cards and choose whether you would like to include entries and/or exits in your analysis. This pathing tool is commonly used for understanding all of the different ways visitors can get from Page A to Page Z on your site.
Important Things to Know About Pathing
The following are some important things to know about Pathing:
- Pathing can be enabled on any Traffic Variable, not just Page Name. The most common uses of Pathing are Page Name and Site Sections (s.channel), but there are many creative uses for Pathing beyond this. For example, if you want to have an easy way to see the order that site visitors view your products, you can pass the product name or ID# to a Traffic Variable on each product page and then enable pathing to see which products are viewed concurrently.
- Pathing reports only consider that a path has changed when a new value is passed to the Traffic Variable. This is important, because, if you accidentally use the same page name for two different pages, you will not be able to see instances where visitors went from one page to the other.
- Pathing reports do not span multiple visits.
- In SiteCatalyst, you cannot combine several pages into a bucket and view pathing to/from the bucket of pages, but you can do this in Omniture Discover.
- Pathing reports are not available in Omniture DataWarehouse or the ExcelClient.
- You cannot view pathing on a Classification of a Traffic Variable (sProp) in SiteCatalyst (though you can in Discover). Therefore, you should take this into account when determining whether to capture data values directly into a variable or a Classification.
- Pathing reports cannot span across multiple SiteCatalyst report suites so if you want to see pathing for different sites, you need to have a common tag on pages of both sites (known as multi-suite tagging).
In this installment of our real-world example, let’s say that one of Greco Inc.’s subsidiaries is a Finance related media site and its goal is to increase Page Views so it can increase paid advertising revenue. As part of its SiteCatalyst implementation, Greco Inc. captures the ticker symbols visitors search upon in a Traffic Variable. It turns out that people are willing to pay top dollar for Paid Display Ads served up on the ”Apple” ticker symbol (AAPL) results page. Unfortunately, many of the other ticker symbol search results pages don’t command such a premium. Therefore, Greco Inc. would like to find a way to identify more “Apples” on its site so it can increase overall advertising revenues. To do this, they decide to enable pathing on the Traffic Variable containing the ticker symbols being searched upon. This allows them to see which ticker symbols are being searched directly before and after (shown below) ”AAPL.”
Armed with this information, Greco Inc. can make a case to its clients that it can provide an almost identical audience as those searching for “Apple” at commensurate price. From a usage standpoint, the best part is that the Ticker Symbol Traffic Variable does not contain all of the site pages, which makes it much easier to follow and provides only the data that is needed.
Content Referened from the Omniture Blog. http://blogs.omniture.com/
While the reports and dashboards you can create within Omniture SiteCatalyst are great, there is no escaping the fact that power web analysts have an affinity for Microsoft® Excel®. Microsoft Excel provides numerous ways to manipulate and view data that will never be available in any web analytics tool.
For this reason, Omniture provides access to a powerful “ExcelClient” (not a typo, there is no space) which allows you to pull data from your Omniture SiteCatalyst data set into Microsoft Excel. This Omniture ExcelClient is extremely powerful, especially when combined with advanced knowledge of Microsoft Excel, a tool well known to traditional analysts.