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Customer First Radio Episode 2 | Erich Kahner, Associate Director of Customer Strategy at dunnhumby
The 2021 Retailer Preference Index: Who's winning and why. David Ciancio, Global Head of Grocery discusses the 2021 U.S Retailer Preference Index (RPI): Grocery Edition with the lead author of the RPI, Erich Kahner. They unveil key insights and discuss who is winning and who is best positioned for the future.
In the first episode of Customer First Radio, Dave Clements, Global Head of Retail for dunnhumbyand David Ciancio, Global Head of Grocery for dunnhumby kick off the series by discussing what it means to be a truly Customer First business, share which retailers and brands today embody a Customer First mindset, and examine how Customer First materialized during the pandemic with retailers.
In my last post, I posed five questions to retailers to help them determine whether they're ready for a customer-first mindset. Now, I'd like to challenge the retail basics that seasoned retailers were trained on, and suggest instead a new customer data science approach.
"Retail is detail" is common industry wisdom, and it means that achieving success is subtle and difficult. Success in any field demands practice and experience, and so it is little wonder that many senior retail and brand leaders and managers have vast years of involvement, and that most have grown up through the business in progressive steps.
Accordingly, business decisions are heavily based on experience, and more often on personal memory of choices and executions and how a thing has traditionally been done. As Chris Foltz, director of operations at Heinen's Fine Foods, told me, "Our industry, and our company, was very opinion-based, albeit expert opinions. We realized early on that we needed data on customer needs, customer satisfaction and customer buying behavior to improve our decision-making. As we adopted this metric-driven approach, I believe we prioritized our investments and effort to deliver a better customer experience."
These are a just few of the things that most retailers absolutely know for sure:
- We must acquire new customers in order to grow our business.
- Price-sensitive and "cherry picker" customers are not profitable. The competition is welcome to them.
- Customers are different in every region of the country. There are also differences between urban and suburban shoppers.
- Loyal customers are already giving retailers most of their spend in the categories offered.
- Weekly flyers and promotions always drive footfall and sales.
- After all these many years in the business, we know what customers want.
Why What We Know About Customers Just Ain’t So
The old axioms are no longer factual because customers themselves have dramatically changed, in their needs, expectations and experiences. Separating fact from fiction—and business truths from myths—will change how the business sees itself and how it will make decisions. The following are some of the new truths of retailing in the 21st century:
- Expanding share of wallet from customers who are already "loyal" can better optimize growth.
- Loyal customers need more love and investment than new customers.
- Retaining loyal customers and reducing churn among "opportunity" customers can drive more growth than acquiring new customers.
- Price-sensitive customers are often more profitable than other segments because their basket mix includes more private label products or higher-margin portion sizes.
- Behavioral "buy-o-graphics" and intended trip missions matter much more than demographics or geographics.
- Customer segments are typically distributed variably within geographic regions or zones, but all customer types exist in all stores.
- Store clusters built upon customer dimensions are more useful to operations and execution than store groupings based on geographic zones or volumetrics.
What We Know for Sure Can Fit on a Post-It Note
Agility in retail can only be maintained by understanding customers and using data in all available quantitative and qualitative forms. Here's a personal story to illustrate:
A perception-based research tool measured one retailer's progress against factors that customers themselves had said are most important to them. Before the first customer perception report was published, I set out to learn how the customer ranking compared to the rankings that the senior decision-makers would assign.
The regular weekly senior team meeting brought together many of the wisest and most seasoned leaders in the business. After briefly introducing the research methodology, I asked the team to list what factors they thought customers would list as important, and in what order they thought customers would place them.
Not surprisingly, each merchant tended to rank factors in their department higher on the list than those for other parts of the store. Although little agreement was reached, a compromise ranking was eventually defined.
Comparing our list to the customers' list revealed spectacular differences; leaders had listed most of the same elements as did customers, but in completely the wrong order. That day, the team experienced a true epiphany—they realized that "we didn't know what we didn't know."
The lessons learned were:
- Humility gained in discovering that "we don't know what we don't know" empowers the customer-first journey.
- To become more relevant to customers, we must become fact-based deciders and activators.
- Using customer data well creates true consensus and inclusive action.
In summary, “In God We Trust” ... all others must bring data.
David Ciancio is global customer strategist for Dunnhumby, a pioneer in customer data science, serving the world's most customer-centric brands in a number of industries, including retail. David has 48 years' experience in retail, 25 of which were in store management. He can be reached at david.ciancio@dunnhumby.com
Memories of panic buying may be fading here in the UK but have resurfaced elsewhere1. The near constant threat of another wave of Covid-19 may yet prompt another round of hyper demand. Whilst there is little hard evidence to determine the underlying drivers of panic buying2, there are numerous theories that the retail industry may benefit from exploring.
Feroud Seeparsand, dunnhumby's Senior Consumer Psychologist, outlines some likely theories to explain the 'why' behind the 'panic buy' and some implications for retailers to prevent it reoccurring in future.
1.Loss Aversion
Nobel Prize-winning economist Daniel Kahneman stated that 'loss aversion' was his and Amos Tversky's single greatest contribution to decision-making theory3.
We feel the pain of loss more than an equivalent gain. In other words, losing £100 hurts more than the joy of winning £100. When applied to panic buying, we fear for the loss of a product we could otherwise have had. Perhaps more to the point, we would normally have had access to a variety of products. Relative to this normal point of reference, the relative loss of not possessing a product helped lead to panic. As customers would normally possess a certain product, the relative loss of it created pain.
A curious detail is that small numbers can make big differences, a concept called 'diminishing sensitivity'; winning £200 does not double the joy relative to winning £100. In other words, even small numbers of a valued product can have a significant effect on one's decision making. It is because of this diminishing sensitivity customers may lean towards zero risk aversion, in other words not to risk missing out on a product; if you see it, buy it!
Implication for retailers: Use the new reference point that past panic buying did not stop most customers obtaining products.
2.Social Norms
Another Nobel Prize-winning economist, Richard Thaler, and his colleague Cass Sunstein highlighted numerous heuristics to nudge behaviour4; one of these is social norms or copycat behaviour. We are perhaps all guilty of assuming restaurants with longer queues have superior dishes or assuming that the more popular films, plays or books are worth consuming. When applied to retail, if a customer sees another purchasing a particular item, the odds are that they will follow. This can easily be exaggerated through social media and news reports.
It does not matter if this perception is factually inaccurate; perception will still hold sway. If customers do cause products to sell out as a result, this is likely to lead to a scarcity effect, where those products are valued even more than before. This can be further exacerbated if such products are perceived to be potential life savers, like hand sanitisers or medicine.
Implication for retailers: Highlight how most people are not panic buying. Foodstuffs North Island and South Island, in New Zealand, got out ahead by introducing their 'Shop Normal' campaign, which encouraged customers to 'shop normally and be kind in supermarkets'. Tesco in the UK also ran a 'Together we can do this' campaign in national media to encourage people to 'shop normally together'.
3.Uncertainty Breeds a Desire for Control
Sometimes the actions that can save lives, such as hand washing and social distancing, are simply not enough to regain a sense of control5, as they are too dependent upon the goodwill of others. Therefore, there remains a need to reduce anxiety. Stockpiling or buying more, as a form of retail therapy, is a manner for regaining control.
Scientists have found uncertainty leads to the consumption of utilitarian products (such as cleaning agents and cooking ingredients), i.e. products that give you something to do6. Shoppers are less likely to be interested in the latest fashion trends. When one adds to the mix a virus that demands hygiene, the hyper-demand for particular products can be better understood. The same scientists explore the concept of 'displaced coping', where shoppers purchased items that are of no direct relevance to their uncertainty. This may go one step to explain the recent insatiable worldwide desire for toilet paper.
Implication for retailers: Provide customers with products that may provide a sense of control, such as gardening, DIY, crafts, puzzles.
4.Game Theory
Whilst behavioural economics and nudge theory assume irrationality, game theory (which also can claim a Nobel Prize by John Nash, as featured in the film A Beautiful Mind), assumes rationality.
In the same way panic buying exists, customers may panic and create a bank run, where customers take money out en masse which then collapses a bank. In one study, it was found that asking participants to recount a time when they felt fear was found to increase the likelihood of a bank run in the form of a game format7. There was some evidence that inducing sadness was less likely to create a bank run. Given the emotion of fear led to bank runs, it is of little wonder that the fear of a pandemic may have led to panic buying.
Implication for retailers: Influence emotion to avoid fear (e.g. through in-store media and music).
5.Personality Theory
A recent global survey addressed toilet paper hoarding through personality traits8. It was found that customers who felt more threatened by the pandemic, possessed greater emotionality and greater conscientiousness (i.e. planned more) led to more toilet paper hoarding. This study may suggest that appealing to higher values2,9 (ie encouraging responsible behaviour) may not help to avoid panic buying.
Implication: Encourage long term planning and purchase of long shelf life products, to ease supplies if a second or third wave returns.
6.Concluding remarks
This is not an exhaustive causal list, but instead focuses on theories that could have at least some practical application to limit panic buying. The theories covered include areas that assume irrationality, such as behavioural economics and nudge theory, or rationality such as game theory. Other theories may sit more on the fence.
Whatever the drivers for panic buying this is a topic that retailers need to address. Even if panic buying does not reoccur within the Covid-19 pandemic, it is likely to return in some future event whether it be a natural disaster, climate change, strikes or supply shortages.
References
1. https://www.bbc.co.uk/news/world-australia-53196525
2. Lunn, P. et al (2020). Using Behavioural Science to Help Fight the Coronavirus: A Rapid, Narrative Review. Journal of Behavioral Public Administration Vol 3(1): doi: 10.30636/jbpa.31.147
3. Kahneman, D. (2011). Thinking Fast and Slow. Penguin
4. Thaler and Sunstein (2008). Nudge. Improving Decisions About Health, Wealth, and Happiness. Penguin
5. Taylor, S (2019). The Psychology of Pandemics. Cambridge
6. Chen, C.Y. and Pham, M.T. (2018). Affect regulation and consumer behaviour. Consumer Psychology Review 2(1): 114-144
7. Dijk, O. (2017). Bank Run psychology. Journal of Economic Behavior & Organization 144: 87-96.
8. Garbe L., et al (2020) Influence of perceived threat of Covid-19 and HEXACO personality traits on toilet paper stockpiling. PLoS ONE 15(6): e0234232.