The Moment Your Supermarket Knows You’re Pregnant Before You Do

21

October

2017

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Big data has changed the way most businesses think and work. Instead of looking at only sales numbers as both measure and forecast for performance we can now go in deeper by using analytics. New tools and methods allow retailers to get a whole new perspective and gain consumer insights not seen before. The possibilities to use consumer data it implied some drastic changes by embedding these new insights to boost sales and creating smarter merchants at the same time.  (McKinsey, 2017).

However, can retailers also go too far by means of tracking your spending’s on their products? Is there a line that can be crossed? It certainly felt as if Target went one step too far in 2014 when they started to send a teenage girl coupons of maternity products while she and her parents didn’t even know she was expecting yet. (Hill, 2012)

Target developed a special pregnancy score. By looking at your spending pattern and the kind of products bought an algorithm would calculate a score indicating whether you are pregnant or not. If this was the case, Target could send you personalized coupons with products for pregnancy. (Hill, 2012)

Sending personalized offers is nothing new in the industry, with customer loyalty cards it has become relatively easy to collect consumer data and track spending and product preference. However, Target is not the only supermarket that has been struggling with finding the right balance between the use customer data and the related privacy issues. Tesco was ‘the best practice’ in the retail industry, Tesco was digital when it wasn’t even cool yet. They were far beyond their competition by using analytics and data in their advertising and marketing offers.(Schrage, 2014) Yet, Tesco showed that having a focus on data can also lead to a steep downfall. Because in the end a competitive price and a simpler shopping experience are worth more in the retail environment than gaining insights and having a good loyalty promotion. (Schrage, 2014)

So how bright does the future of retail and analytics looks like? Even though Tesco was brought to a downfall by having a very strong focus on analytics, it does not imply that other retailers will stop using it. However, from bought retailers an important lesson can be learned. You should never forget how to create a competitive advantage in the retail industry and understand why your customers are your customers. (McKinsey, 2017)If data analytics helps to get a better understanding or to lock them in by using loyalty program, this is great idea. However, do not forget the importance of distinguishing your selves from other retailers if you cannot compete on price only. (McKinsey, 2017)Because after all, most people find price the most important factor when doing their groceries.

Sources

Hill, K. 2012.  How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. [Online] available at: https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/#1e5aa7386668 (Accessed: 6/10/2017)

Marr, B. 2010. Big Data: A Game Changer In The Retail Sector [online] available at: https://www.forbes.com/sites/unicefusa/2017/10/13/when-the-hurricanes-hit-unicef-and-google-joined-forces-to-help/#9d1a2ba3b6b3 (Accessed: 18/10/2017)

McKsinsey. 2017 How Leading Retailers Turn Insights Into profits [online] Available at:https://www.mckinsey.com/business-functions/marketing-and-sales/our-insights/how-leading-retailers-turn-insights-into-profits (Accessed: 14/10/2017)

Schrage, M. 2014: Tesco’s Downfall Is a Warning to Data-Driven Retailers. [online] Available at: https://hbr.org/2014/10/tescos-downfall-is-a-warning-to-data-driven-retailers (Accessed: 15/10/2017)

 

 

 

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The rise of the sharing economy in a time where trust levels have reached a downfall

16

October

2017

Airbnb, Peerby, Snapcar, Uber, a list that seems to grow day by day. All these companies have something big in common, their business models are based on the principles of trust.  But in a time where suspicion, mistrust and fear overrule faith, hope and believe, how can these companies thrive?

The current decade has shown us that people have lost their trust in companies, governments, NGO’s and other institutions. (The Trust barometer Global report, 2017) The most recent and painful occurrence that marks this era was the decision of the United Kingdom to leave the European Union. While on one side we seem to lose faith in the power of governments and institutions, we have arrived in a worldwide where companies thrive on the fundaments of sharing. One of the companies that absolutely shook the world upside down with a business model based on the principles of the sharing economy is Airbnb. Joe Gebbia Co founder of Airbnb pitched the following idea to his investors:

We want to build a website where people publicly post pictures of their most intimate spaces, their bedrooms, the bathrooms — the kinds of rooms you usually keep closed when people come over. And then, over the Internet, they’re going to invite complete strangers to come sleep in their homes. It’s going to be huge!” – Joe Gebbia

After his pitch he was disappointed to hear no one was interested. But no wonder the investors were not interested, this was so new, so risky and so not like anything else. Luckily Joe Gebbia did not give up on his idea. Now an average of 425000 people use Airbnb every night worldwide. Airbnb is one of the biggest ‘hotels’ in the world, without physically owning a single hotel. It is currently valued at $31 billion, almost twice the value of the 98-year old Hilton which does own actual real estate. (Overfelt, 2017)

Now the question remains, why does it work? How come people felt this idea was idiotic and ridiculous back in 2008 and are now happy to share their car, drill or even their home?

The key principle according to Joe Gebbia is “The connection beyond transaction”. (Gebbia, 2016). The foundation of the business model is still is based on the economic transaction made, regardless the nature of this trade. And the connection made is more than just a bonus. It means you actually share a part of yourself with this stranger, which in some cases even leads to a real friendship. However, you also bear a responsibility with you since the renter trusts you with his or her personal belongings. The fact that all these business models work so well is that people can step out of their comfort zone but at the same time a safety net is provided by means of a review and reputation system. In all business models the review aspect is at the center of success.

According to a recent study by PWC on the sharing economy, 89% of consumer panelists agreed that the sharing-economy marketplace is based on trust between providers and users, and 69% said they would not trust a sharing-economy company unless recommended by someone they personally trust. (PWC, 2015)

This emphasizes the bridge that people have to build in order to participate and engage in the sharing economy. People need a confirmation that the stranger they are about to do business with is indeed a trustworthy person. Bias is something that we can’t ignore and will always be present. One of the strongest biasness we have is that we tend to trust people based on their similarity only, which is called homophile. However, a good rating and review system can help to counteract as shown by a study from Stanford University. If a person has more than 10 positive reviews, the perception will change and reputation is seen as more important than similarity. (Gebbia, 2016) This shows that their is a way to break through the ceiling of bias.

That the sharing economy is booming is well known, and it has been flourishing by promising new technologies. Especially the ease at which individuals can connect and exchange information and goods is ground-breaking. However, one must not forget that these platforms and business models can only truly thrive when supported by a good, well-established political and societal context.(PWC, 2015) Especially legislation and governance has not proven to be ready for these transformational companies.


Sources

Edelman. 2017. The 2017 Trust Barometer Global Report, I [online]. Available at: https://www.edelman.com/global-results/ (Accessed: 12/10/2017)

Gebbia, Joe. 2016. Ted Talks. How Airbnb designs for trust. [online].https://www.youtube.com/watch?v=16cM-RFid9U (Accessed: 12/10/2017)

 Overfelt. M May 2017. It’s been a trip to $31 billion. Now Airbnb wants to remake the entire industry. [online] Available at: https://www.cnbc.com/2017/05/15/its-been-a-fantastic-voyage-to-31-billion-what-airbnbs-next-big-trip-isnt-booked.html (Accessed 7/10/2017)

Stein, J. January 2015. Sharing Economy: Baby, You Can Drive My Car, and Do My Errands, and Rent My Stuff… [online] available at: http://time.com/3687305/testing-the-sharing-economy/  (Accessed 8/10/2017)

Price Waterhouse Coopers C.  2015.  The Sharing Economy Consumer Intelligence Series. [online] available at: http://www.pwc.com/CISsharing (Accessed 9/10/2017)

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