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Seven Rules For Thriving In The Retail Revolution

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This article originally appeared on Forbes.

At a recent customer conference — a gathering of dozens of executives of the nation's top food retailers — I opened my keynote by paraphrasing the opening line of "A Tale Of Two Cities": "It's the best of times, it's the worst of times."

I was talking, of course, not about the French Revolution, but the revolution that's afoot in my industry. And unlike Dickens, I was looking at what's happening not in the past but in the present.


I do not subscribe to the view that we are in the middle of a retail apocalypse; rather, I believe this is a retail revolution where the winners and the losers are yet to be determined. While the headlines continue to spook retailers inside and outside the food sector (Sears filed for Chapter 11, while Toys R Us is plotting a comeback), it seems like we are only focused on the worst-of-times/doomsday scenario. The truth: success stories have been obscured in the toss and tumult, and a rulebook for success is emerging. In a nod to another writer about revolutions — Saul Alinsky, author of the infamous Rules For Radicals — I offer seven principles that the best and the brightest retailers are following to weather the storm.

1. Put The Customer First

In my first column for Forbes, I made the point that "putting the customer first" — what seems like a timeworn cliché — is good for business. In the food retail sector, the main theater of battle in the retail revolution, the virtue of being customer-first is most apparent. This is a revolution where the customer is the victor, and the pressure is on retailers to compete for her. According to our research, she shops on average at four grocery stores each month and regularly buys groceries from at least three other channels. Most important: She has clear opinions about what each store represents in terms of value. Ignore what she thinks and wants at your peril. If you are a food retailer today, you need to start with a data-driven customer strategy.

2.Don’t Think Just About Price — Think About Value

All great revolutions result in the destruction not just of institutions but old credos as well. Here's one: E-commerce will lead to an inevitable race to the bottom for retailers because they need to compete more and more on price. We recently unveiled research that shows customers are more driven to make decisions as to where they shop based on perceived value, not price, per se. We have a formula: divide quality by price, and that gives you a better idea of what your customer wants, and how to put the customer first. For example, customers happily exchange the time it takes to shop at Costco and Walmart for lower prices — a choice driven by a subconscious cost/benefit analysis of each retailer's value proposition. A recent report by Forrester concludes that price, convenience, assortment and experience are all important to the modern consumer.

3.Know Your Particular Value-Driven Customer And Adapt Accordingly

Which is not to say that you cannot differentiate more around quality or price to win customer preference. Retailers that are focused more on "fresh" or "organic" might focus more on quality, while big box brands might focus more on price. It's important to note that a study by Business Insider found that discount stores are surging. But the battle for shoppers today mandates you think about both price and quality. By analyzing first customer data — which retailers have access to — retailers can get a better sense of what matters to their customers.

4.Target Your Investments

In another study, we found that brands with a more homogenous customer and store footprint perform better. Why? Because they deliver a value proposition that is more consistent with their customer's expectations. They opened the most stores in the last 30 years, and as a such, their customers are more homogenous, and they understand their customers — their habits, their biases, and, ultimately, their preferences — better. Again, the best place to start is with tools for analyzing customer data.

5.Think Intelligently About Private Labels

A growing corpus of research shows that food retailers with their own private label product lines are benefitting not just from brand lift but margins as well. An intelligent private label strategy can significantly improve overall margins. But there should be an emphasis on "intelligent." To make this happen requires more than strategy; it takes a little something called customer data science.

6.Incorporate Customer Data Science

By that, I mean the data, tools and practitioners that are now available not just to the Amazons of the world but to practically every retailer on the planet. Along with the revolution that is empowering consumers to shop more intelligently, there's the democratization of the science that was limited to just a few businesses visible at the start of the revolution. But to enter the battle you need to equip.

7.Join The Revolution Now — The Best Of Times

As I said at the start, this is not just the worst of times but the best of times as well. In addition to the democratization of best practices and tools, the relative strength of the economy plays in the favor of large incumbents and new market entrants poised to enter the fray. They may have more cash and other resources to commit today than when the inevitable dip in the economy makes competition for the choice-rich shopper even tougher.

When that time comes, we may actually have a tale of two retailers, not cities: the one that planned for the revolution and the other that did not.

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Big data is no longer an advantage for only the big guys. Just ask Heinen's.

As I wrote in my previous article, being truly loyal to customers is, above all else, about creating a better store experience. Naturally then, the role of big data analytics (customer science) must be to improve the traditional '4 P's of marketing – so that customers better find the right products, at prices that shout better value for money, and in promotions that more clearly deliver exciting value.

Typically, the costs and complexities of harvesting insights from big data to improve the 4 P's have shut out smaller retailers. But today's cheaper cloud computing and open source technologies can now enable big data advantages to small companies. Data has been 'democratized' in a way that size of retailer no longer matters. To wit: leading the application of big insights in small spaces is Heinen's, a 23-store chain headquartered in Cleveland, Ohio.

If you want to see an amazing store experience born from inspired retail art together with applied customer science, you've got to see the Heinen's store in downtown Cleveland. You are sure to notice that Heinen's have transcended the traditional 4 P's to add 3 new P's of Customer Engagement – People, Place, and Personal – and have thereby become even more loyal to their customers. There's a link to a special video feature about this incredible store at the end of this article.


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In July last year, we estimated that grocery Retailers in the UK could be missing out on as much as £1.7bn in unrealised media revenues – equivalent to some £11bn across EMEA. While those numbers might give us an indication of the overall scale of the Retail Media opportunity, they tell us a little less about its potential on a business-by-business basis.

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FOR RETAILERS

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FOR BRANDS

Better understand and activate your Shoppers to grow sales.

The Great Recession programmed lasting value-consciousness into the minds of consumers. How might COVID-19 rewire us again?

The fourth annual dunnhumby Retailer Preference Index for U.S. Grocery (RPI) sheds light on what makes a retail winner, and how the pandemic has impacted consumer shopping behaviors. Known as retail's equivalent of the Gartner Magic Quadrant, the RPI surveyed about 10,000 consumers to understand what's driving customer preference and rank the top 57 grocery retailers in the United States.

Join dunnhumby CEO Guillaume Bacuvier as he dives into the latest study, revealing the levers for success, and which retailers are winning the hearts, and wallets, of shoppers today.

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Retail leaders must objectively understand how their business currently considers Customers before trying to set a more Customer-centric direction and focus. There are some formal assessment methodologies, like dunnhumby's Retail Preference Index (RPI) and Customer Centricity Assessment (CCA), which offer detailed evaluations of a business' capabilities, strengths and weaknesses based on Customer perceptions (RPI) or global best practices (CCA).

The approach outlined below is not intended to replace these formal tools; rather, these observations are intended as a kind of 'toe in the water' to help retail leaders form early hypotheses and points of views. These are rules of thumb, heuristics culled from global experience. Later, leaders might use these observations to informally check progress from time to time as a way of assessing whether the "program in the stores matches the program in our heads".

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dunnhumby’s Prophets of Aisle Six, Episode 2: Heinen's Fine Foods

The Prophets of Aisle Six is the first online reality series focusing on innovation in the food retail industry. In this episode, Jose Gomes, dunnhumby's North America Managing Director, travels to the downtown Cleveland store of Heinen's Fine Foods. Jose meets with Tom and Jeff Heinen, co-owners and brothers, and learns how they are evolving their grandfather's mission of delivering excellent customer service. With 23 stores in Northeast Ohio and the greater Chicago area, and a 90-year legacy, Heinen's is proving that being a small retailer can be an advantage when it comes to data.

In this series, dunnhumby tours the globe and speaks with some of the world's greatest brands, exploring their biggest challenges and how they are using customer data science to meet those challenges.

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.

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