Buy now Pay later technology – causing a bankrupt generation?

17

October

2022

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E-commerce has changed the way customers shop. Products can be easily delivered to our doorstep and costs of transportation have decreased massively, which makes it an attractive alternative for offline purchases. During the COVID-19 pandemic, e-commerce has grown rapidly, as brick-and-mortar stores were closed and many of us were restricted from visiting public areas, such as shopping malls and city centers. Especially the younger generation, myself included, enjoy the efficiency of online buying. In a research conducted by YPulse (2021), over half of young European consumers (which includes gen-Z and millennials) prefer to shop online and are regularly shopping through websites, apps and social platforms. 

Online shoppers have various options once it comes to payment. Customers can pay in store, which is often used when customers choose to pick-and-collect, or they use online transaction methods. These vary from having to enter credit card details to using online banking payments such as iDeal, which allow for a SEPA Credit Transfer from within the consumers’ trusted online banking portal. 

However, the online payment industry has lately been disrupted by companies offering a new financial service, named Buy Now Pay Later (BNPL). As you might have already guessed, these companies allow consumers to buy products and pay later in interest-free installments. These services are an alternative to “old-school” creditcards of which the younger generation is generally wary, due to banks having high interest rates and strict requirements. These BNPL services offer similar benefits as using a credit card, but without the earlier named restrictions. Users only have to sign up and create a profile, no need for background checks. These services have partnered with large online shops, and are offered once a customer goes through the check-out on their website. By targeting the younger generation, these services allow consumers to buy products they might not have been able to buy before. Consumers are able to pay for it at a later time (usually a month later), sometimes over a series of installments. Consequently, the BNPL business model generates revenue through their partnerships with online stores and the late fees collected from customers. 

These services have become very popular among younger generations. In the US, 55.1% of Gen Z digital consumers of ages 14 and older will use a BNPL service at least once this year (Lebow, 2022). But young customers are often not warned about the primary financial risk, which is overspending. Almost 70% of consumers that have used BNPL admit that they have overspend when using them (Schulz, 2022). This could lead to consumers not being able to afford the payment installments and being confronted with high fees and charges. Unpaid debts could even be handed over to debt collection companies, which could cause financial trouble. 

Although these services are very efficient and easy to use, I believe that, especially considering the current global economic state, these services should be regulated in order to prevent widespread debts among the younger generation, who already face many financial setbacks. 

I’m interested to hear your thoughts. 

References: 

Lebow, S. (2022, July 6). Gen Z buys into buy now, pay later. Insider Intelligence. Retrieved from https://www.insiderintelligence.com/content/gen-z-buy-now-pay-later

Schulz, M. (2022, April 14). 42% of Buy Now, Pay Later Users Have Made a Late Payment. LendingTree. Retrieved from https://www.lendingtree.com/personal/bnpl-survey/

YPulse. (2021, September 1). The Shopping Experiences European Gen Z & Millennials Are Interested In. Retrieved from https://www.ypulse.com/article/2021/08/17/the-shopping-experiences-european-gen-z-millennials-are-interested-in/

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How the downfall of third-party cookies means the rise of contextual targeting

6

October

2022

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In January 2020, Google announced that in order to enhance and restore privacy and security for their end users, third party cookies will eventually be blocked (Chromium Blog, 2020). Their priorly introduced initiative Privacy Sandbox should ensure a secure environment for personalization while also protecting user privacy. According to Google, this shift is demanded as ‘data practices currently don’t match up to user expectations for privacy’(Schuh, 2019). To illustrate, they give the example of fingerprinting, which assigns a unique identifier to users and gathers information about these users while it tracks them across websites. Unlike cookies, users are not able to delete these fingerprints. 

Google proclaims that they are searching for a solution to create a healthy ad-supported web which will address the needs of users, publishers and advertisers. Although they believe that the solution is not solely blocking cookies (which competitors Safari and Firefox have already done a few years ago) since this would negatively influence users and advertising by undermining the business model of ad-supported websites. The solution seems to be more difficult than Google expected, as they have advanced the date when they will block third-party cookies multiple times (Chavez, 2022). 

Meanwhile, companies have had enough time to think about alternative methods to personalize their targeting strategies without the use of third-party cookies. One of these is contextual targeting. Companies use AI technology which leverages the power of machine learning to provide human-like understanding of content and the highest level of brand safety in the market. Thereby, combining text and image for deep level categorization. All contextual information is based on brand objectives to achieve optimal alignment between brand values and content. Take KIA, an automotive brand which has rebranded a few years ago. In collaboration with a publisher, they launched campaigns using data driven contextual targeting (Wirz, 2022). Firstly, they used AI technology to read KIA’s website and determine their core brand values. Mobility, innovation and electric cars are core values of their new brand identity. Then smart contextual AI was able to match these brand values with relevant content within the publishers network by applying semantic and co-occurrence analysis. 

I currently work at a media company and I’ve seen that many companies are trying to innovate when it comes to personalized advertising. These developments come as the internet is shifting from web 2.0 to web 3.0 in which privacy is seen as paramount. I think contextual targeting could be an interesting substitute for third-party cookies advertising. I’m interested to hear your opinion!

References: 

Chavez, A. (2022, July 27). Expanding testing for the Privacy Sandbox for the Web. Google. Retrieved September 30, 2002, from  https://blog.google/products/chrome/update-testing-privacy-sandbox-web/

Google. (2020, January 14). Building a more private web: A path towards making third party cookies obsolete. Chromium Blog. Retrieved September 30, 2002, from https://blog.chromium.org/2020/01/building-more-private-web-path-towards.html

Schuh, J. (2019, August 22). Building a more private web. Google. Retrieved September 30, 2002, from https://www.blog.google/products/chrome/building-a-more-private-web/

Wirz, J. (2022, February 25). Een datagedreven contentstrategie voor contextual advertising: de case van Kia. Retrieved September 30, 2022, from https://www.emerce.nl/cases/een-datagedreven-contentstrategie-voor-contextual-advertising-de-case-van-kia

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