Monday, December 7, 2015

Best Buy’s Use of Analytics

Best Buy is a specialty retailer that provides technology products, services, and solutions to consumers.  The retailer has stores around the United States, Canada, and Mexico.  In the United States, 70% of the population is within a short drive of a company store (About Best, n.d.).  Brick-and-mortar stores are important to the success of Best Buy.  In 2014, it was reported that the company owned 18% of the market share when looking at brick-and-mortar stores alone.  However, the company doesn’t have as big of an online presence.  Last year, Best Buy only had 7% market share of the online category (Best Buy, 2014).  To help grow the online program, the company dedicated a lot of new strategies to the channel.

Online Approach
The company is using an omnichannel approach as it tries to hit a customer regardless of their location or device.  This approach started after the company used analytics to understand the impact of a customer using multiple devices when interacting with the company.  It was proven that website visits are valuable even if there isn’t an immediate return.  One example is with mobile devices, the company has reported that a customer who visits the website on a mobile device is 15% more valuable to the online program.  In addition, the company understands that mobile visits can add value beyond online purchases.  A lot of customers go online before visiting a store.  Therefore, after analyzing the data, the company found that a customer that visits the website on a mobile device becomes 25% more valuable to the overall company (Best Buy, 2014).

Best Buy is also making adjustments to improve their online experience.  The company is working on several strategies including the conversion path, personalization, and online and offline integration.  The conversion path relates to minimizing the amount of clicks needed to make a purchase. Ideally, the company is trying to get it down to three.  From a personalization perspective, the company is trying to place products at the top of the page that makes sense based on a visitor’s behavior and characteristics.  Finally, the company is trying to integrate the online efforts with the offline channel.  This included adding a pick-up in store option for online purchases and integrating local store inventory levels to help with out of stock items (Fitzgerald, 2013)

Tools

Having the right tools is vital to a company’s success.  From research, it looks like Best Buy is investing with Adobe products to help them analyze their company.  In 2012, Adobe wrote an article on the company’s partnership with Best Buy and their use of the Adobe Insights tool.  This tool allowed the company to analyze online to store data, the use of multiple devices, and digital channel touchpoints to understand the consumer’s behavior from an attribution standpoint (Halbrook, 2012).


With the data needed for Adobe’s Insights tool, an assumption would be that Best Buy uses other Adobe tools such as Adobe Analytics to help analyze their online data.  Adobe Analytics is a real-time analytics platform that can help companies understand customer interactions.  This will include a website’s visitor numbers, conversions, and attributes attributed to each visit (Adobe Analytics, n.d.).  Adobe Analytics allows Best Buy to look at granular data to help create stories that lead to future strategies.

How Best Buy Uses Data
All the data collected by Best Buy is used to understand their customers in an effort to provide a better experience that results in more conversions.  Adobe’s Insights tool helps with this objective as the company is able to gain a better understanding of customer interactions.  An example can be seen when the company analyzes category level pages on mobile devices.  An obvious page that leads to a store visit is the store locator page.  However, the Home Theatre Accessories category pages led 26% of visitors to a store over a 2 week time period (Halbrook, 2012).  This was surprising to the company and allowed them to understand an opportunity from a landing page optimization standpoint.
Optimization is a general word but it ties back to the company’s reason for collecting data and describes the strategy for using the data collected.  Whether it’s personalizing a visitors experience or making changes to the conversion funnel, the company is always trying to make it easier for a customer to make a purchase.  To help understand the effect of their changes, the company using analytics to create stories of success or opportunity.

Additional Tool
Since Best Buy is already invested in Adobe, the company should look at other product offerings from the company.  If they aren’t already using the tool, the company should implement Adobe Test and Target.  It was mentioned earlier that the company looks at the behavior of difference audience segments.  The example used was related to mobile Home Theatre Accessories category pages that lead to in-store purchases.  With this knowledge, the company can implement personalized experiences through Adobe Test and Target to help lead customers to the store.  The tool can also be used to help analyze the results to see the effect of any website changes. 

Best Buy can use this tool to do testing across the website whether it relates to personalization or A/B testing.  An example of an A/B testing opportunity can be seen on the company’s home page.  There are three category links that show on the home page as seen below.  The company could test various categories in this space to understand if one category performs better than another one.


Additional Metrics
Best Buy’s website captures a lot of data that can be transferred into strategies.  After looking at their website, the company should be collecting multiple conversion metrics in addition to orders.  This includes registry creations, email signups, and app downloads.  These metrics could be considered micro-conversions for the company.  Each one of the micro-conversions will prove to have long term revenue value if analyzed properly.  Therefore, it’s important to take these into consideration when analyzing the success of the website.


Data Capture Opportunity
On the category pages, the company allows customers to filter their results.  As customers use the filtering feature, Best Buy should be collecting this information.  It can then be used to customize what products show at the top of the page or in promotional banner ads.  This data can also be used to create audiences for personalization efforts for returning customers.  Another opportunity to use this data could be in paid media tactics if the company has a tool such as Adobe Audience Manager.  This tool allows the company to target media such as display ads based on website data.

  

Data Analysis Opportunity
When trying to buy an item on the Best Buy website, it takes at least 5 clicks to make a purchase.  The first click is made when someone places an item in their cart.  While forming an example, the first click promoted a pop up window that asked about adding Geek Squad.  The interesting thing with this is that the continue button was below the page fold on my laptop.  The company should analyze the effect of this pop up on the final conversion.  If a customer does continue with the purchase, Best Buy should analyze the point in which people leave the funnel if they don’t make a purchase.  This data can then be applied to a new design strategy that looks at making a shorter conversion funnel.


Conclusion
If companies have the right analytics tools, they will be able to perform a lot of different analysis projects on their website.  Each analysis will form a story that leads to future strategies.  As companies implement new strategies, it will be important to continue looking at the data to understand the overall effect.  In the end, this will be a continuous project as the company tries to optimize the customer experience.


References:
Adobe Analytic. (n.d.). Retrieved December 7, 2015, from http://www.adobe.com/marketing-      cloud/web-analytics.html
About Best Buy. (n.d.). Retrieved December 6, 2015, from https://corporate.bestbuy.com/about-  best-buy/
Analytics-enhanced reporting. (n.d.). Retrieved December 7, 2015, from             http://www.adobe.com/solutions/testing-targeting/analytics-enhanced-reporting.html
Best Buy To Benefit From Increasing Online Sales. (2014, June 19). Retrieved December 6,         2015, from http://www.forbes.com/sites/greatspeculations/2014/06/19/best-buy-to-       benefit-from-increasing-online-sales/
Fitzgerald, M. (2013, November 20). Best Buy Adopts an Omnichannel Strategy, Mixing Stores and Online Sales | MIT Technology Review. Retrieved December 7, 2015, from             http://www.technologyreview.com/news/520821/best-buy-battles-back-online/
Halbrook, M. (2012, April 11). Best Buy & Adobe Insight: Connecting Web & Mobile to Store    Sales. Retrieved December 7, 2015, from    http://blogs.adobe.com/digitalmarketing/mobile/best-buy-adobe-insight-connecting-web-         mobile-to-store-sales/