Shoes of Prey, an online retailer that sells custom-made shoes globally, have made significant improvements in their online conversion rates thanks to insights gleaned from their Multi-Channel Funnels reports. Through taking action based on these insights they were able to increase their conversion rate by 40%, increase same-day purchases by 20%, and better understand how to manage their social media strategy.

Head on to the APAC Conversion Room blog to learn how Shoes of Prey achieved these results and more.
Part 1: Thanks to the Top Conversions Paths report, Shoes of Prey were able to understand the sequence of channel interactions that led to conversions, and take action to reduce the number of interactions before a purchase is made.

Part 2: The Time Lag report helped them realise how long it typically took visitors to make a purchase from the time they first visited the site. Using this insight, Shoes of Prey were able to put into place marketing initiatives to help reduce the time to purchase.

Part 3: The Assisted Conversions report aided Shoes of Prey in understanding how influential their various marketing channels were either earlier in the sales funnel or as a direct response mechanism. They now have a better understanding of what role social media plays in influencing sales and can now manage their campaigns better.

Posted by Vinoaj Vijeyakumaar, Senior Conversion Specialist, Google Southeast Asia

Google Analytics has a network of Certified Partners around the globe who provide valuable technical and analytical services, but I often get asked about the impact of their work. To that end, we help our partners publish case studies to showcase their best projects, and we’re featuring these studies in a series of posts in the coming months.

PUMA is a highly recognizable and well-respected sport/lifestyle company. They have a global audience and a world-class website, but still they strive to beat their own records. They know the best athletes use data and strict regimens to improve their performance, so applied the same concepts to their website with great results.

PUMA had a few strategic goals. They wanted to measure all engaging elements of their dynamic website, beyond just simple pageviews. They also wanted their site to be optimized for each key region around the world. Finally, they wanted to improve ecommerce conversion rates across the board.



PUMA’s team were extremely pleased with the business impact and we’re delighted Google Analytics could help them. You can read what their Head of Digital Strategy thought of the project:

“Google Analytics lets us help our customers. We’ve seen some spectacular results working with Viget, and we’re thrilled with GA as a tool. For every decision we’ve faced, GA’s been there to answer the call.” — Jay Basnight, Head of Digital Strategy, PUMA

Improvements like this aren’t just limited to big global brands, businesses of all sizes can take advantage of these features with Google Analytics if they’re willing to plan their web analytics strategy around business goals. If you feel like Google Analytics isn’t helping to drive more revenue for your business, you may want to re-assess your analytics strategy. If you don’t know where to begin, you might benefit from a consultation with a Google Analytics Certified Partner.

Let us know in the comments what your biggest challenges are and we’ll run a series of guest posts from our partner network to share advice on the most popular topics.

Posted by Jesse Nichols, Google Analytics Partner Manager

For most companies using Google Analytics, reporting on website traffic and performance for a few web properties is a straightforward task. However, if your company manages hundreds of web properties, delivering useful and timely reports can become a significant challenge. For many, the only apparent solution is to manually export analytics data for each web property, then combine and compare that data to answer relevant business questions. It’s a slow and costly process and you spend most of your time creating reports instead of carrying out meaningful analysis.

The Public Broadcasting Service (PBS) faced precisely this challenge when it made the decision to use GA Data Grabber by AutomateAnalytics.com. GA Data Grabber works within Excel and uses the Google Analytics API. Users create or choose reports and GA Data Grabber automatically retrieves the Google Analytics data from any number of websites. And with multi-login capabilities, users can seamlessly combine data between Google Analytics profiles that reside under different Google Accounts.

Designed for non-technical users, GA Data Grabber generates great-looking visualizations and can automatically highlight important changes in key metrics over a date range. It’s also possible to use Excel’s visualization and data processing features. For example, formulas can be added to calculate Key Performance Indicators (KPIs) based on any set of metrics.

Amy Sample, Director, Web Analytics, Public Broadcasting Service explains the challenges that PBS faced and how GA Data Grabber was able to help. “The PBS.org and PBSKIDS.org web sites are made up of hundreds of individual companion sites to broadcast programs.  From a business perspective, there is a need to evaluate performance of individual program sites relative to each other.” As is common for many large organizations, PBS has separate Google Analytics accounts for each program site. “While multiple accounts works well to evaluate the site content and performance, it makes it difficult to look at all of the sites side-by-side without a lot of manual effort.  Our previous attempts to create this type of report were time-consuming and often subject to data input errors.”

“Using Google Analytics, combined with GA Data Grabber, we were able to create a benchmark report for our program sites. The monthly report pulls a standard set of KPIs from each of the program accounts and ranks the programs by traffic. The report is used as a management tool by both the PBS.org and PBSKIDS.org teams to monitor monthly performance of programs. The teams have also used it to identify opportunities for programs that are no longer being broadcast but still getting significant online traffic.  Our program producers use the report to benchmark their performance against other sites of similar content or size and determine ways to improve audience engagement. As a result of using GA Data Grabber to pull the data, we can produce this report quickly and accurately on monthly basis.”

GA Data Grabber
Mikael Thuneberg, Founder & CEO of AutomateAnalytics.com has been using the Google Analytics API since its launch. “I’ve been very happy with the API. Having developed for several other APIs, I can say that the Google Analytics API is by far the easiest to develop for. It’s logically structured and flexible, the documentation is excellent, and it’s easy to get help through the forum. I’ll certainly continue developing for the Google Analytics API. I’ve expanded to other APIs as well, but Google Analytics is still by far the most important one for my business.”

GA Data Grabber can be found through the Google Analytics App Gallery and can be downloaded from the GA Data Grabber website.

If you’re interested in developing solutions for the Google Analytics platform, visit Google Analytics Developer Program.

Posted by Pete Frisella, Google Analytics API Team

In October, we made Google Webmaster Tools available to all users in Google Analytics, allowing everyone to surface Google search data in new Search Engine Optimization reports. Starting today, Webmaster Tools will update how they calculate data to make it better match expectations about what a search engine ranking really means.

Based on their research, the answer to the question "What is your rank in search results?" is the first position of a link to your site. Previously we reported the average position of all links to your site. Now your Google Analytics reports will be updated to reflect the first position.

An example calculation



We anticipate that this new method of calculation will more accurately match your expectations about how a link's position in Google Search results should be reported.

How will this affect my Google Analytics data?
This change will affect your Search Engine Optimization reports, when your data in Google Analytics Search Engine Optimization reports will be calculated using the new method. Historical data will not change. Note that the change in calculation means that the Average Position metric will usually stay the same or decrease, corresponding to the same or improved search ranking.

We look forward to providing you a more representative picture of your Google Search data. Please let us know any feedback you have.

Posted by Chris Anderson, Google Analytics team

The Google Analytics Team has always supported the promotion of analytics education and professional development. We’d like to share this guest post by Wendy Greco & Eric Peterson from Analysis Exchange - an initiative designed to provide hands-on training opportunities for aspiring web analytics professionals while providing free web data analysis to the entire nonprofit community.

In the right hands, technologies like Google Analytics can do great things, but unfortunately not every organization is able to hire resources to dedicate to web analytics. What’s more, there are thousands of talented individuals out there who would love to work in this field but don’t have the hands-on experience required to get their first web analytics job.

Two years ago Web Analytics Demystified looked at this problem from both angles and decided to create a solution - The Analysis Exchange. The Analysis Exchange pairs a non-profit organization with pair of web analysts --- one a student wanting the experience and the other a mentor with years of direct work in the field.  The trio work together to have the student learn to use Google Analytics to “tell a story” with the data about how the non-profit can better meet their business goals.

Thanks to the generosity of all of our sponsors and participants, Analysis Exchange projects are completely free. Google Analytics is the standard analytics tool for Analysis Exchange for a few key reasons:

Most importantly, Google Analytics attention to ease-of-use dramatically improves our non-profits likelihood to continue to use web analytics after Analysis Exchange projects.  Our mentors and students teach them to fish, and Google Analytics becomes the fishing pole.

Most Analysis Exchange projects take less than a few hours for non-profits and mentors.  Students spend more time, but students have the most to gain as they develop the types of “Analyst Ninja” skills that are required to get a great job in this field. We’re looking for more partners to sign up to the The Analysis Exchange - who are interested in supporting this initiative.

You can learn more about our effort at www.analysis-exchange.com or write our Executive Director Wendy Greco directly at wendy.greco@analysis-exchange.com.

Posted on behalf of Wendy Greco & Eric Peterson