Sunday, December 6, 2015

Case Study: Using Google Analytics to Transform PUMA’s e-Commerce Site from Novice to Professional

ABOUT PUMA

For over 65 years, PUMA has been one of the world’s leading sports brands.  PUMA designs, develops, sells, and markets athletic footwear, apparel, and accessories to men, women, and the youth markets.  PUMA is well known for its history of marketing fast product designs for some of the fastest athlete’s on the planet.  PUMA also offers performance and sport-inspired lifestyle products in categories such as Football, Running, Training, Golf, and Motorsport. (PUMA, n.d.).   

PUMA owns multiple brick-and-mortar storefronts across the world as well as an online e-commerce site that is used to interact with its shoppers and learn more about its consumer demand.  However, like any brand, PUMA faced some challenges when it came to its online presence.


THE CHALLENGE

PUMA faced several challenges when it came to its brand website.  The first of these challenges was that PUMA traditionally separated its website into two different parts.  When a shopper arrived at the PUMA website, he or she had to choose between two links to enter the site: the “World of PUMA” or “Start Shopping.”  The first link or section of the website focused on brand identity.  This section of the website focused more on lifestyle images rather than product details.  The second part of the website was used for online shopping. (Demery, 2014).  Consumers found this particular website structure to be confusing.  PUMA wanted to find a way to make its website more user–friendly and in turn, help its website visitors more easily achieve their goals.

PUMA has a wide range of products that can be found and purchased all over the world.  As we know, different geographical locations require different marketing strategies and tactics.  PUMA wanted to find ways to use its website to gain insights into both content and product popularity to drive marketing strategy, understand what content is engaging customers and contributing to regional sales, and to improve online conversion and customer experience by optimizing the website. (Google, n.d.).


THE SOLUTION

PUMA strategically partnered with the Virginia-based digital agency and Certified Partner of Google Analytics, Viget Labs.  Viget Labs installed Google Analytics on PUMA’s website to help the brand gain a better understanding of its website visitor behavior, optimize the brand’s website for a better user experience, and engaged and convert website visitors into sales. (Google, n.d.)

PUMA and Viget Labs started out by performing website tests and using Custom Variables in Google Analytics to segment visitors based on the test particular test variation they saw. (Google, n.d.).  This allowed PUMA and Viget Labs to compare how each test variation affected visitor ability to complete a variety of pre-determined goals and micro-conversions.

PUMA and Viget Labs also used Google Analytic profiles and custom fields to create a holistic view of PUMA’s website and a separate, targeted view of each category on the PUMA website.  They used advanced features such as Event Tracking to measure interaction with the different page elements and Advance Segments to isolate visitors based on geographical region. (Google, n.d.).

PUMA and Viget Labs launched a constant flow of campaign initiatives on PUMA’s website.  Each campaign leveraged global and region-specific campaigns through CMS functionality like homepage panels, promotional sub-panels, sweepstakes, and surveys.  PUMA launched custom designed landing pages alongside the categories that used the CMS to curate and manage campaign-specific content.  (Demery, 2014).

In addition, PUMA and Viget Labs also used Google Analytics to determine the number of people who were accessing the PUMA website through their mobile device and the content they were searching for on their mobile device.  Based on these findings, a phased approach mobile effort was launched.  Users were provided with a mobile store finder feature that gave users the functionality to search for nearby PUMA stores based on their location and were given CMS driven content from each of PUMA’s website categories. (Demery, 2014).


THE RESULTS

Ongoing analysis and vigorous A/B testing enabled Viget Labs to better understand PUMA’s website’s visitor’s behavior and optimized PUMA’s website accordingly.  Because of this, website visitors had a better user experience and completed more of PUMA’s key performance indicators.  The optimization efforts have created a more intuitive flow and surfaced more engaging content.   
As a result, PUMA’s online order rates increased by 7.1 percent.  Website visitors spent twice as long on the site interacting with the PUMA brand than they did before the implementation of Google Analytics.  Key regions saw nearly 50 percent growth in engagement and website visits.  Lastly, PUMA also saw an 84 percent increase in conversions among its mobile users. (Google, n.d.).


ADDITIONAL OPPORTUNITIES

Google Analytics has clearly helped PUMA achieve its goals when it came to developing a better user brand experience, segmenting content based on user’s geographical location, and engaging and converting visitors into sales.  However, like any website or online tool, you can’t just set it and forget it.  Brands such as PUMA must continue to engage consumers with new content offers and continue to leverage and review Google Analytics to ensure they are getting the most of their online presence.  Thankfully, it looks like PUMA has taken note of this best practice and is striving to implement it. 

Below is a popup PUMA’s website visitors receive after moving beyond the website’s home page. 




As you can see, PUMA is working to engage consumers by giving them the opportunity to register for the brand’s e-newsletter.  Once users register and select their gender profile, they receive new product announcements, exclusive offers, PUMA athlete news, and event invites directly to their mailbox. 

PUMA is more than likely (or should I say hopefully) using Google Analytics Event Goals to track when a person completes this particular form as well as other various content offers on its site.  This will alert PUMA to the users that are most actively engaged with its brand.  However, as we know, a consumer can still be actively engaged with a brand, but not want to receive its e-newsletter.  PUMA can still determine who these people are by setting up events based on a specific webpage a user lands on (such as a payment page), the duration a user spends on a brand’s website, or even the number of pages a user visits on the site.  For example, pretend Google Analytics determines that a particular website visitor has returned to its site 5 times in the last 2 weeks to view a particular product.  Google Analytics’ events can alert PUMA marketers of this occurrence and in turn trigger a push, limited-time promotional offer to hopefully convert the repeat website visitor from a window shopper to a sale. 

Google Analytics will continue to gain knowledge and insight on its website visitors as they continue to interact and engage with PUMA’s website and content offers.  PUMA is more than likely (or should I said again, hopefully) collecting this data to personalize a user’s experience on the brand website.  For example, pretend I have interacted with PUMA’s website in the past.  Let’s say I looked to the brand to purchase women’s running shoes.  PUMA should at the very least be able to determine that I’m a female, who is interested in running shoes, and that I live in Pittsburgh, PA.  Therefore, PUMA could use this information to segment me into a particular target market and show me promotional offers on cold-weather, women’s running gear as opposed to men’s golf shorts.

However, this isn’t the only thing PUMA could/should be using Google Analytics for.  PUMA could also use its Google Analytics to determine who is abandoning what products in their virtual shopping carts and remarketing these products to the specific users.  If PUMA realizes that a particular product is abandoned far more than other PUMA branded products, PUMA may consider slashing prices on this particular product to see if it helps generate more sales.

PUMA could also use Google Analytics to determine what keywords people are utilizing to search for its products and begin to leverage those keywords for SEO purposes and/or to build more relevant Google AdWords campaigns. 

In the end, when a brand such as PUMA utilizes and leverages Google Analytics for its marketing efforts, the possibilities of what the brand can accomplish is almost endless.  Google Analytics gives brands the information they need to make smarter, more insightful marketing decisions that will generate additional brand revenue – after all, isn’t that always the ultimate end goal?




References
Demery, P. (2014, May 20). How Puma Is Improving Sales Operations Through e-commerce. Retrieved from InternetRetailer: https://www.internetretailer.com/2014/05/20/how-puma-improving-sales-operations-through-e-commerce
Google. (n.d.). PUMA Kicks Up Order Rate 7% with Insights from Google Analytics and Viget. Retrieved from Google Analytics: https://static.googleusercontent.com/media/www.google.com/en/us/analytics/customers/pdfs/puma.pdf
PUMA. (n.d.). PUMA. Retrieved from PUMA: http://us.puma.com/en_US/home?locale=en_US&mktID=PL:Brand%20Marketing:Puma.com-CatchAllPage:United%20States-en&plinkID=Brand


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