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Determining The Most Profitable Customer Segment In An Online Brand Introduction

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With the e-commerce industry growing at an unprecedented rate, brands are further put to test on the understanding their customers outside the typical retail environment. Businesses are always striving for the piece of the market that drives the largest profit. However, each segment that brings in higher levels of profit may also have excess work required to acquire that customer to spend their money in such ways.

I had a conversation with a friend who has developed a successful online store in the female-niched fast-fashion industry. In our conversation, he told me his store was having trouble meeting typical sales targets and he was identifying new strategies for customer acquisition and profitability. At this point I saw a research opportunity to identify the highest- profitability segment in this online brand. I believed conducting research on the value of the most cash-flow driven customer segment would allow my friend to focus on this target segment that would deem most beneficial to his brand.

This granted me the opportunity to conduct primary research based on real customer data to test which customers were the most profitable and which customer segment they ended up being in. The timeframe selected was 1 month between the date of September 1 – September 30th. All primary research conducted in this report will relate to data coming from this time period, Stats about this period are available in Appendix A. Consumer Segmentation

In order to assess the profitability of each customer segment, customer segments were created to allow for a better understanding of how each customer group makes their purchases within this online store. Thus, to test the profitability, Loyal, Discount, Impulse, Need-based and Wandering customer segments were created to determine the profitability relation between each of the 5 customer segments (Hunter, M., 2019). Each customer was specified to how they will be identified within the pool of the 488 purchase sales for the month of September as

presented below:

Loyal Customer – A customer from the data set who purchases from the online store multiple times in the given time-period. Rationale: According to the Department of Information Science at the University of Malaya, E-loyalty refers to desirable customer attitudes in EComm, which lead to repeat purchases (Sohrabi, N., 2013)

Discount Customer – A customer from the data set that has purchased based on a discount code in the given time-period.

Impulse Customer – A customer from the data set that has purchased based on an App/ store incentive that gives them an opportunity to purchase an item they didn’t intend to buy.

Rationale: According to the Association for consumer research, an impulsive buyer is one “who makes a purchase that is unplanned, only after being prompted by seeing the product or some other relevant cue” (Piron, 1991, p. 512).

Need-based Customer – A customer from the data set that has purchased an item based on a search query. Rationale: They have searched exactly this and purchase exactly this.

Wandering Customer – A customer from the data set who has abandoned their cart. Attempted to checkout but did not complete the purchase. Rationale: A regular online visitor would not be an appropriate number because as there have been over 113,000 site views, but not all may showcase interest towards the product. Abandoned checkout shows customer interest but lack of initiation.

 

Results

Based on the associations and rationale of each customer segment above, data was stripped of all 488 customer orders in the month of September and each customer was individually identified under each category under a specific colour code; As shown in Appendix B.

After categorizing each customer segment, number figures were summed up for each customer segment in the month and put in an excel table as shown in Appendix C.

 

Further Understanding and limitations with Research

The research conducted was limited to several assumptions as it did not take into the long-term effects of the value of a customer, which are most essential to sustaining business. An article by the Harvard Business Review, goes in-depth about the value of a loyal customer and attributes the profitability puzzle of how much profit a loyal customer generates overtime to 5 strong attributes. A loyal customer: generates Longer-cash flows, has a reduced acquisition fee, allows business to be efficient with how it serves the customer due to understanding of customer preferences, can be charged a premium of company services, and is involved in spreading word-of-mouth(Reichheld & Sasser, 2014). A look at Appendix D shows a visual representation of customers being more profitable in the long run, as time increases each bar graph gets added more profitability components. Just like this bar graph shows, our primary data shows loyal customers in the online brand generating a higher Revenue per customer than any other target segment at $54.13/customer (Appendix C). This is simply due to loyal customers having more than 1 order/ longer purchase history, resulting in more revenue earned.

Further research was done on the loyalty and profitability correlation, and according to the Journal of Marketing Management, increased customer loyalty has a positive “effect” on customer profitability, but at a decreasing rate; As shown visually in Appendix F. (Øyvind Helgesen (2006).

These two sources bring forth a strong conclusion in customer loyalty holding a great deal of profits, however, these sources do not consider tests of online customer behaviour.

Online purchase behaviour may bring about out varying purchasing characteristics that can influence the customer segment of which has the highest profitability.

Conclusion

The results section in Appendix C, show a high number of customers and cash-flow arriving from one target segment, impulse buyers. These buyers were categorized by seeing which apps in the online store triggered them to purchase something they did not intend to. Paid website plug-ins like ‘Upsell’, and ‘Frequently bought together’ are examples of apps that bring out impulsive behaviour, their use is shown in Appendix E.

Further research conducted by the JAIS (Journal of Association for Information Systems) uses theoretical framework of Latent state trait theory to identify the impulsive behaviour of buyers and website quality (Wells., Parboteeah. & Valacich., 2011). The latent state theory states buying decisions are based on an individual’s traits (core values), the environment (the online store), and their interaction with both characteristic sets (Steyer et al., 1999). The conclusions based on the JAIS study show that buyers are more impulsive when introduced to a higher-website quality (Wells., Parboteeah. & Valacich., 2011). Apps used in this Shopify store are paid, tested plugins which are popular within a variety of ecommerce sites, possibly attributing to higher website quality.

The study also showed buyers are more impulsive when they are not being watched, which is a determinant of the buyer’s external environment (Wells., Parboteeah. & Valacich., 2011), as the consumer believes they are not being watched in making a purchase online. Both these conclusions have an impact on how online consumers make purchasing decisions and can be attributed to the higher sales of impulsive buyers that has been calculated.

On average, each Loyal customer are shown to spend more, have smaller acquisition cost, but make up for a smaller amount of the online stores cashflows. On average, each Impulsive customer are shown to spend less, have a higher acquisition cost, but make up for most of the online stores cashflows. Although results from the study show higher regions of cash-flow from the ‘impulsive’ consumer segment, further research should be conducted over- time to evaluate the side-by-side comparison of the Impulsive and Loyal customer segment in terms of overall profitability.

How To Leverage Celebrity Clients

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How Waves Agency worked with celebrity jeweller Johnny Dang to revolutionize how Grillz are sold online

From cutting-edge diamond teeth “Grillz” to flashy pendants, Johnny Dang’s jewelry catches the eye. Celebrities and Hip Hop royalty cannot get enough. His customers include Kevin Hart, Justin Beiber, Kylie Jenner, Drake, Snoop Dogg, Travis Scott, Floyd Mayweather Jr.& many more celebrities. He has even appeared in The Migos, Nelly, Moneybaggyo & More music videos. 

 

But despite his overall success, Johnny was unhappy with the performance of his website and digital marketing. Celebrity sales are good but one of their additional benefits is the brand awareness they create for online sales. But up to that point, Johnny’s online sales and website traffic were very disappointing. 

 

Not enough consumers were finding the website. And those that did were getting lost before the point of purchase. The website was un-optimized, for example, purchasing had many manual steps. The celebrity energy was going to waste.

 

From humble beginnings in Vietnam, Johnny had built his Houston based business up and had attracted the attention of hip hop royalty. But he knows long-term success requires continual improvement; building on your advantages at each stage.

 

Johnny knew that he needed to take his website and digital marketing to the next level to realize the potential of online sales. That’s when he brought in Waves Agency who built Johnny a from scratch a new state of the art website within 90 days, and formulated an overall marketing strategy. 

 

Within ten days of launching his new website, shopjohnnydang.com, online sales had increased to over $130,000. And within four months it had reached over $1.2 million. 

 

The new website was making waves. The avideo and celebrity snaps had captured the energy of Johnny’s brand. 

 

But more importantly the customer experience was much better. Customers are now taken on a journey from brand awareness, information, purchase, to brand loyalty. Practical elements like streamlining the purchase process has also made a big difference.

 

The website was also now part of a broader marketing strategy which included paid media, customer targeting and retention, and content marketing.

 

With paid media Waves selected the best social media platforms that took into consideration of Johnny’s audience through the incorporation of invigorating content and visual platforms such as snapchat, instagram, and google. Celebrity endorsements of the website link was a key weapon here. Endorsements from Trippie Redd, Dababy, KayyKilo, FunnyMike and more made posts stand out from the crowd.  Waves also monitored the campaigns weekly and made adjustments as needed.

 

The new website also benefited from new email and SMS flows to target potential customers and to retain loyal ones. This included abandoned cart flows, post-purchase upsell flows, and promotions for loyal customers. 

 

Johnny is ecstatic with the results of the new website and marketing. He finally feels like his business is starting to realize the potential of online sales. The energy from his celebrity clients is finally being leveraged. Johnny and his grillz are going to the next level!