Sunday, November 18, 2018

Adidas: Creating a Customer-Focused Experience Through Data


Adidas: The Importance of Consumer Data


Long gone are the days when marketers could analyze their ecommerce site solely by purchase per SKU/style alone. Now, there are numerous tools that can be used to not only see how what customers are purchasing, but how they are purchasing them, what led them to the purchase, and much more. There are no more guessing games. Retailers have a great chance of understanding their customers if they are focusing on specific points of data that will help drive their business goals.

Adidas is one brand that places a large emphasis on data-driven growth. In fact, Adidas’ Global Head of Digital Brand Commerce stated,
“Digital is one of our core strategic priorities…We will measure ourselves rigorously in how the various digital touchpoints come to life across those three dimensions, and we believe they will be core to reaching our overarching targets for sales, consumer experience net promoter score, and ultimately engagement and lifetime value” (How Consumer Insights and Digital Have Led to…, 2018).
When consumer behaviors and even technologies change, Adidas is on board to change right with them. Adidas is also concerned with creating meaningful stories in real time so they can gauge customer reaction instantaneously. It’s all about the consumer experience, and the Adidas app is a great example of carrying out that goal.

At the core of this consumer experience is Adidas’ shopping app. Before their ecommerce app was created or launched, the Adidas team tested it with a specific set of consumers and launched it before all features were developed. That led the consumers to provide feedback, which fueled what Adidas did next and which new app features should be prioritized (How Consumer Insights and Digital Have Led to…, 2018). This feedback shaped the consumer app experience in a way that was asked for directly by the users themselves.

Adidas even employed data scientists to create a Consumer DNA (CDNA) model that creates a 360-degree view of consumer behavior.
Although sales is still an important KPI, [Adidas] also measures influence as a new currency in a digital world to create brand awareness, interest and desire with consumers. CDNA data points continuously expand to include a wide variety of external sources of information. Data science algorithms called genes then iterate through billions of records every single day continuously updating and adjusting profiles based on the latest available consumer data” (Underwood, 2017).
The idea is for customers to build their profiles through the Adidas site or app, so that Adidas has a better understanding of each specific customer. The customer focus is proving to be successful for Adidas, as they are able to test new ideas and campaigns through A/B testing, which allows for better understanding what works and how to tweak a campaign where applicable before it is fully completed.

So how does this work with consumer experience align with SEO tactics? On-page SEO tactics are used primarily through heading keywords related to Adidas collection names. Instead of including generic terms like “running shoe,” for example, Adidas lists the exact collection name in their website headings. Including these specific keywords is a bit risky, but to compensate in regard to search, the description keywords include both the generic term as well as the collection name, as you can see in the “track pant” search example below:



Additionally, Adidas’ Site Map is a great tool for those browsing the site. Below is a screenshot of Adidas’ Site Map, which was updated about a month prior to the date the screenshot was taken:

(Where can I find a site map?, 2018).

According to Michael H. Fleischner, site maps serve two purposes. “First, they make it easy for visitors to find content on your site, and second, they enable search engines to spider your site much quicker…I strongly believe they are helpful in the optimization game…” (Fleischner, 2016). Users get a quick glimpse of the site’s products. This is especially useful tool for a brand like Adidas, which offers products in numerous buying categories.

Adidas Web Site: My Ideas for Web Analytics Efforts


With the customer experience as a central focus, Adidas must be sure to emphasize analyzing demographics, social sharing and influencer activity, device tracking and browsing patterns in their web analytics efforts. Below, I will go into further detail for each metric:

·      Demographics and Location
Adidas is a global corporation. They must use SEO and web analytics to help determine whether their sales targets per country are on track and also what types of customers are purchasing specific products and categories. These insights can help the Adidas marketing team understand whether they are targeting their campaigns in the correct manner or if they are missing the mark.  

·      Social sharing and influencer activity
Adidas is well-known for using prominent celebrities and public figures to promote their products. For example, actress Shay Mitchell appears on their main page promoting Adidas’ Statement Collection. Adidas will benefit from tracking whether this link helped drive traffic to the Statement Collection product page, or if any other campaigns to promote the Statement Collection worked better (or worse). Any social media campaigns featuring celebrities and influencers must be analyzed to see where the ROI figures lie.

Additionally. Adidas could improve their SEO by display social links on their site. These links do not even appear on the US site main page! Prominently displaying these links would help give Adidas even more precious data on how customers are using social platforms and how they are reaching them, which can be tracked through referrals.

·      Device tracking
The ecommerce app was Adidas’ idea for a bolstered customer experience. Therefore, to analyze the fruits of their labor, first all devices must be adjusted for SEO purposes so user searches look attractive, regardless of the device used. Second, device analysis must be done to determine where users are browsing the most, which includes analyzing metrics such as time of day and bounce rates. Purchase conversion rates must also be analyzed per device, and could be an additional fail-safe in case one type of device isn’t optimized effectively for purchasing.

·      Purchase patterns and purchase conversions
Analyzing user flow reports and funnel reports, such as those offered through Google Analytics, can help marketers at Adidas understand how users are browsing their site and also measure things like cart abandonment rates.
“E-commerce platforms are even designed to help you keep up on cart abandonment with built in autoresponders to help win back abandoned carts. Pixels are even in place for many brands to setup ad retargeting for customers that bail on the checkout process. But are you looking at the rest of your funnel to see where customers are dropping out during the shopping experience?” (Patel, 2018).
Using tools like Google Analytics, marketers can also determine things like purchase conversions, and any other type of conversions as deemed important enough to be a business goal. Adidas might want to consider goals related to returning customers and purchasers, average purchase value and purchases made through organic search alone.

What other ways can Adidas utilize SEO to effectively bring home their goal of creating an individualized customer experience?



References

Fleischner, M. H. (2016). SEO made simple: Insider secrets for driving more traffic to your website. United States: Michael Fleischner.

How Consumer Insights and Digital Have Led to Adidas' Growth - SPONSOR CONTENT FROM GOOGLE. (2018, May 07). Retrieved September 20, 2018, from https://hbr.org/sponsored/2018/05/how-consumer-insights-and-digital-have-led-to-adidas-growth

Patel, N. (2018, June 25). The Metrics Every E-Commerce Store Should be Tracking. Retrieved November 18, 2018, from https://neilpatel.com/blog/e-commerce-store-should-be-tracking/

Underwood, J. (2017, June 14). How adidas Transformed Analytics Platforms for Digital Scale. Retrieved November 17, 2018, from https://www.jenunderwood.com/2017/06/14/adidas-analytics-platforms-digital-scale/

Where can I find a site map? (2018, October 15). Retrieved November 18, 2018, from https://www.adidas.com/us/where-can-i-find-a-site-map.html



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