Monday, July 8, 2013

ModCloth’s Engagement Strategy Analysis

             ModCloth is an online clothing, accessories, and décor retailer.  It was founded by two high school sweethearts and built on a foundation of love for vintage and retro style.  In just a few short years, ModCloth has grown from a college dorm operation to a 300 employee business with offices in three cities.  Growing in popularity among women 18-34 and being an online-only retail vendor, ModCloth does everything online.  From internal web analytics to social media to digital advertising, ModCloth has an integrated online strategy.  The next few paragraphs will explore which analytics and social platforms are used, as well as how the data collected is put into action.

Gathering Information

            ModCloth gathers customer information in many ways.  First, ModCloth collects information provided by the customer.  This includes name, email, phone number, shipping address, billing information, and payment details.  This information is provided when making a purchase.  Related to purchases, ModCloth also stores purchase history, shopping behaviors and preferences, and membership information. Additional information could include location or geography through the mobile application, reviews on products, or social media interactions made through the ModCloth site.

              Second, ModCloth collects data through third-party tools, including Omniture Site Catalyst, Quantcast, and Google Analytics (ModCloth, 2013).  These tools automatically collect non-personally identifiable information from browsers based on cookies.  Information collected includes IP address, pages viewed, site navigation patterns, devices used, and geo-location information. 

            Omniture and Google Analytics are both web analytics tools that measure web site performance, such as visitors, traffic sources, devices, conversions, and much more.  The main difference between the two is that Omniture is an engine-independent paid service, with dedicated support.  Google Analytics is free, but is associated with Google and does not provide dedicated support (Yu, 2010).  Quantcast is a tool that measures audience and traffic data across millions of websites.  This tool is free and can be used by marketers to view data on their own website or to analyze competitor websites.  Below is an example of the demographic overview for LinkedIn.  Since ModCloth has their site monitored by Quantcast, they can (and have) chosen to hide their directly measured profile audience data from public view.

            Through these tools, ModCloth can monitor visitor traffic, audience demographics, devices used, as well as sales and conversion data on the site.  In addition to sales, ModCloth has many desired actions for their customers.  Actions include writing a product review, sharing products or purchases through social channels, and posting on the ModCloth blog.  Collecting this information provides ModCloth with valuable user behavior and preferences that can be used to improve performance.  All user and website data collected is used to improve the customer experience and ultimately increase engagement and sales.

Measuring Engagement

            ModCloth’s guarantee is to provide the best possible online shopping experience.  They have strived to create a community around their brand and have many touch points and opportunities for engagement.  They also pride themselves on their dedicated customer service.  Measuring engagement is measuring success for ModCloth.

            ModCloth allows its customers to reach out through multiple channels, including a unique twitter handle (@ModCloth_Care ) and two online chat channels, one for customer service and one for fashion style questions (ModCloth, 2013).  Both Google Analytics and Omniture report traffic to each of these webpages and monthly data can show if inquiries are increasing or decreasing over time.  Reviewing the details of these questions can bring popular issues to light, which can then be incorporated in the FAQ section of the site, decreasing the number of customer service requests.

            In a marketing blog, Kate Morris (2012) writes “they have great products, even better customer service, and their community really is what makes their business” (para. 2).  One of the things she included that sets ModCloth apart is its surveys.  Below is an example of a survey given to someone shopping on the site.  Rather than a boring questionnaire, it is simply a “which would you choose” fashion question.  ModCloth collects these user preferences and uses them to purchase new items.  What better way to find out what people want to buy?

            Another way ModCloth encourages and tracks engagement on their site is through the “Be the Buyer” program.  This program encourages users to browse sample styles and vote on the ones they would like to see sewn and sold at ModCloth.  Then users can browse items actually created through the program as well as items coming soon.  ModCloth uses this data to select which items it will buy and sell.  Through analytics, ModCloth can see engagement metrics and use those to optimize the experience.   

            ModCloth’s site is extremely integrated with social media.  Every product page includes the ability to share through Facebook, Twitter, Pinterest, or email.  ModCloth has even launched its own in-house Pinterest page.  Called “Style Gallery”, users can upload photos of themselves wearing or styling their purchases.  According to ModCloth cofounder, Susan Koger, “This is the place where she comes to buy stuff but also to be part of the community and feel part of the brand” (Gannes, 2012).  Building an online community around the brand is an important goal for ModCloth.  Measuring the traffic, time spent, pages per visit, and percentage of new visits through Omniture and Google Analytics can provide insight on how engaged users are with the site, and which pages are most engaging.

            According to ModCloth’s Social Media Manager, Natasha Khan, the three main social objectives are brand awareness, brand loyalty, and increased traffic to the site.  In terms of return on investment, she states “We measure brand awareness with virality and reach metrics; we measure brand loyalty with engagement and customer care metrics; and we measure traffic to ModCloth.com through tagging and tracking of links using Google Analytics” (Loomba, 2012).

            Overall, ModCloth uses multiple web analytics tools to measure website performance, audience data, and engagement metrics.  Using these tools, ModCloth optimizes its clothing and accessory collection, enhances its social media interactions, and increases engagement.  The data ModCloth collects varies from customer purchase information to browsing behavior and buying preferences.  This information helps to paint a more complete picture of the ModCloth customer and helps ModCloth customize its site to improve the customer experience.


            Since ModCloth looks at multiple pages for engagement metrics and has many social extensions, the Google Analytics application Ducksboard would be a helpful tool to combine all that data in an easy to read, high level dashboard.  Below is an example of the dashboard.  Ducksboard can integrate site performance, social media, customer service, conversion rates, and more through its customizable platform (Ducksboard, 2013).  This tool puts actionable data at a glance to quickly implement optimizations.


References

Ducksboard. (2013). Retrieved from http://ducksboard.com/

Gannes, L. (2012, November 19). ModCloth launches an in-house Pinterest. AllThingsD. Retrieved from http://allthingsd.com/20121119/modcloth-launches-an-in-house-pinterest/

Loomba, A. (2012, August 15). Exclusive interview with ModCloth’s social media team. Thoroughly Modern Marketing. Retrieved from http://www.thoroughlymodernmarketing.com/exclusive-interview-with-modcloths-social-media-team/

ModCloth. (2013). Retrieved from http://www.modcloth.com/help/privacy

Morris, K. (2012, August 28). Positive Outing: Review of ModCloth. Distilled [Blog]. Retrieved from http://www.distilled.net/blog/marketing/positive-outing-review-of-modcloth/

Yu, D. (2010, May 26). Google Analytics vs. Omniture: Independent analysis. AimClear [Blog]. Retrieved from http://www.aimclearblog.com/2010/05/26/blitzlocal%E2%80%99s-dennis-yu-on-google-analytics-vs-omniture/ 

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