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Are you looking to increase your contactable Customer base? How much money are you losing on incorrectly identified Customer communications? Throughout our 30 years of big data experience working with clients across industries around the globe, we have found that maintaining contact through relevant Customer engagement is a crucial component of putting the Customer First.

Essential to preserving contact data is ensuring that you have the most up-to-date information from your Customers; not an easy task. On average, people in the United States will move an average of 12 times in their lifetime. United States Postal Service data indicates 14% of the population change addresses annually. As email contact has grown, it's important to note that, on average, 30% of people change their email addresses each year. This is driven by ISP or job changes, or just to stop being spammed. As people move away from home phones to primarily mobile devices, phone numbers are stabilizing as consumers maintain the same numbers through physical moves.


Contact data maintenance also includes an effective and trackable process for removing Customers who "opt out", unsubscribe or otherwise request to not be contacted. Beyond Customer fallout for not honoring their request, regulations such as GDPR and CCPA can deliver fines as high as €20 million, or up to 4% of the annual worldwide turnover of the preceding financial year (whichever is greater), for any violations.

So, how are you collecting and managing sensitive, frequently changing Customer metadata? These three questions can help you perform a quick data health check for your business:

  1. How flexible are our Customer data platforms? Can multiple departments use the same Customer master data profile?
  2. What are the accuracy requirements for each of our communication channels?
  3. How unique is our Customer data asset and how valuable is it to our company?

Here are the most common data management options we encounter across industries:

1. Internal:

Maintaining Customer information manually through an internal data team can be time-consuming and costly. It may require Customers to update their information online or through a call center, with an internal data team to validate the changes, and your Customer engagement team to be made aware of the changes so they can update their downstream systems. If you are in contact with your Customers on a weekly basis, this process will need to be on-going and thorough to accurately capture the data changes.

2. Third party:

Many third-party CRM systems and databases exist, often removing the manual steps from this process and may even automatically update Customer address information via online sources. In many cases this information is based on publicly available data or the USPS' address tools. However, these updates can verge on being "creepy" to many Customers. Automated systems do remove many of the manual touch points for your teams, but the information is then strictly provided by the third-party databases and processes. Additionally, downstream systems often still require updates from these tools to maintain the most correct Customer information across your data landscape.

While there are some hybrid models of options, here are the main pros and cons we have identified for the primary methods:

Internal Pros Internal Cons
The fastest method if you own and manage your data ingestion platform Managing a metadata repository tied to your website or mobile platform may require significant improvements in your front-end systems and teams
Your internal security can ensure that personal data standards and protections are maintained A true "Customer master" repository will require significant resources, a robust data governance structure and regular audits for both security and data accuracy
The easiest method for maintaining your Customer opt-outs and communication preferences If there is a data breach from your systems, your company is 100% liable for the breach
Platform and tool agnostic. An internal "Customer master" repository can serve as a single source of truth for Customer data within your organization
Leverages the information provided from your Customers which in practice should be the most trusted
3rd Party Pros 3rd Party Cons
Removes significant pressure from your internal teams and systems as you are pushing the process to the 3rd party May require you to maintain your own Customer opt-outs and communication preferences external to their platform
If the data resides on and is consumed from their systems, on-going security becomes less of a concern for your internal teams* May not allow Customer provided information to be captured or maintained
Can be a very accurate source if they are leveraging governmental and legal databases May require the use of their specific software and technology, limiting the ability for your organization to create an internal "Customer master" on your own databases and downstream systems
May be updated on a real-time basis from their systems You are tied to the 3rd party data match and update process dependencies. Additionally, some companies limit the daily number of requests or queries
APIs and other data integration points with the 3rd party may be made available ensuring that all internal teams have the same "Customer master" Are they consuming publicly available data (ex. mortgages and legal proceedings) or are they using some large unmanaged database to match Customer details and data?
How often are they confirming the accuracy of their data? Example "John Smith" may simply be a typo from years ago or it could be correct. How do they confirm accuracy?
*If the 3rd party or their associated processors breach your Customer information, you may still suffer reputational and financial consequences

Regardless of your chosen data mastering methodology, the Customer's preferred data should always be treated as the "most trusted," as this is the data your Customer is asking you to use. We recommend prioritizing Customer-provided data over other sources, only falling back on alternate sources if there are issues with Customer communications.

dunnhumby can help your company develop a comprehensive Customer mastering solution, regardless of your existing CRM process, technology or vendor. We have spent the last 30 years working with Customer data in many different stages of maturity and complexity. Through this process, we have developed proven best practices to collect and maintain your Customer metadata. If you are interested in discussing Customer mastering or Data Consulting, please reach out to your dunnhumby client representative or Contact Us.

white and blue magnetic card

Photo by Avery Evans on Unsplash

Most companies attempting to drive customer loyalty fail miserably—and few so-called customer-centric companies generate sustainable customer loyalty that drives measurable business results. Why? Because they get three key principles completely wrong, right from the start:

  1. Loyalty is about the company acting loyally to its customers, not vice versa.
  2. It is about a loyalty approach, not a loyalty program.
  3. Loyalty is about the store, not only about the CRM.

1. Loyal to Customers

We start to act loyally to customers when we understand them to a level of detail that ensures that we remain responsive to changes in their behavior, relevant to ever-changing customer needs and rewarding in the way we treat customers.


Acting loyally is about adopting a loyalty mind set of managing customer segments as strategic business units (aligning with how we think about a category management strategy as managing categories as strategic business units). This context demands change that is both incremental and transformational—evolution, but with a bit of manageable revolution.

What customer loyalty is, and is not:

  • Acting loyally (responsive, relevant, rewarding) to our customers; not about customers being loyal to us
  • An overall approach throughout our business; not a proposition or program
  • Earning customer loyalty; not thinking that customers should become loyal
  • Collaborative partnerships to win customers together; not tolerant of internal conflict between areas of the business or with suppliers
  • Transparent; not opaque
  • Driving sales and cash margin; not customers being responsible for percent margin

2. Loyalty Approach vs. Loyalty Program

We demonstrate loyalty to our customers by taking a loyalty approach wherein we commit to rewarding and delighting our customers with products and experiences that meet their wants and needs.

  • We call this putting customers first—when we decide on priorities and actions based on insights from our customer data.
  • By doing so, a retailer becomes an even more prominent choice in the customer's consideration set. This is not a tactic; it is a long-term strategy that makes the customer the focal point of our business decisions and objectives.

The loyalty program is an important element within a loyalty approach, as the key source of the data that enables customer intelligence, and as the channel that enables us to talk to our customers personally. I call the loyalty program the "little l" in loyalty, with the loyalty approach as the "big L."

But a loyalty program is not required to act in a loyal way to customers. Here's how to think of "big L" loyalty:

A loyalty approach, simply put, embeds customer insight throughout the retail organization to enable better, faster decisions and thereby increase sales and profit sustainably. Best-in-class practitioners have seen an incremental sales uplift in the early stages of a loyalty approach of between 1% and 2% and later stages between 3% and 4%, quarter over quarter and year over year.

3. Loyalty Is About the Store, Not Just the CRM

As I used to say to my retail colleagues, "If the store is lousy but we deliver brilliant targeted CRM, the store will still be lousy."

Even if the personalized CRM is perfect, customers need to perceive that tangible changes have been made in the store itself before they will respond by giving more of their custom. We must put customer insights into action within the "hardwiring" of retail practices—pricing, promotion, assortment, adjacencies, new products, the checkout experience and so on.

In a previous article, I shared several examples of being loyal to customers in store by simply making the shopping experience easier—setting the yogurt section by customer need rather than by brand blocks, for example, and by setting product adjacencies according to how customers shop, rather than by how items are sourced in the supply chain.

3 Ways to Activate a True Loyalty Approach

  1. Make better business decision by putting the customer first. Everything is better when you start with the customer. Start with the data you hold on customers—understanding how they shop and behave, what is important to them and how they engage with your business. This insight will identify a number of opportunities for better decisions using the data.
  2. Improve the customer experience by using data-driven insights to improve your retail offering, such as assortment, pricing and promotions. Use insights to connect you to your customer through the store. Think of the mantra "data to insights to actions"—this is how improved like-for-like sales growth and customer loyalty is delivered.
  3. Transform the organization using customer-driven insight to help you better understand, anticipate, measure and continually respond to your customers. This is realized through empowering, aligning and equipping your people with relevant insights, values, goals, strategies and actions.


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[This is the fourth in a series of articles advocating the voice of the Customer in the highly competitive food-retail industry. 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].

Treating Customers differently based on their 'profitability' is counter-productive to building loyalty and toward creating a healthy retail Customer Experience.


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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.

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The dunnhumby Consumer Pulse Survey is a multi-phased, worldwide study of the impact of COVID-19 on customer attitudes and behavior. We surveyed more than 27,000 respondents online in 22 countries, with interviews conducted for Wave one from March 29 – April 1, for Wave two from April 11 – 14, and for Wave three from May 27 – 31. Due to the rapidly unfolding crisis in North America, dunnhumby conducted Wave four from July 9 – 12 in the U.S., Canada and Mexico only. Here are highlights from the study:

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In a series of posts published earlier this year, we covered the results of the dunnhumby Customer Pulse – a global study designed to explore changing consumer mindsets during the COVID-19 pandemic. Over three waves, conducted between March and the end of May, we polled thousands of people from more than 20 countries on subjects including supermarkets' responses to the outbreak, the economic outlook, and how their shopping behaviour had changed due to COVID.

At the beginning of September – three months on from the previous wave and with supply chains stable and the changing nature of lockdowns – we wanted to revisit the Customer Pulse to see what, if anything, had changed. Below are some of the standout findings from this fourth tranche of research.

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assorted fruits at the market

Photo by ja ma on Unsplash

In the decade since Richard Thaler and Cass Sunstein's Nudge: Improving Decisions About Health, Wealth and Happiness was published, nudge theory has enjoyed unprecedented success.

Predicated on the idea that individuals respond better to indirect suggestion than outright commands, nudge theory is commonly used as a way of subtly influencing our behaviour towards positive choices. The idea has gained such traction, in fact, that many governments around the world have created "nudge units" in a bid to tackle thorny issues like obesity and the climate emergency.

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It's a well-worn phrase by now, but it's true that the COVID-19 crisis has drastically altered the global retail landscape. Here in the Asia-Pacific region, a majority of markets are now looking past the panic of the first wave and towards the future. In this series of articles, we'll explore how grocery retailers must adapt to a more omnichannel reality to thrive in a post-pandemic world.

The new wave of online grocery customers

Throughout the COVID-19 crisis we've seen the sharp rise and fall of many trends. As countries veered from one phase of the pandemic to the next, we've seen everything from panic-buying and stockpiling, to a booming demand for hygiene products. While some of these trends have stuck, the resumption of a more 'normal' life in many parts of the Asia-Pacific have seen others tail off.

One trend which is set to stay is in eCommerce, particularly within grocery. Lockdown drove a surge to online grocers the likes of which we have never seen – and it seems customers have been convinced by the online experience. According to multiple recent studies[1] China's grocery eCommerce market, already a booming sector with 29% growth last year, is now tipped to grow by 60% this year as the coronavirus has driven whole new segments of customers to the online grocery market. The trend is also sustaining; the main growth driver in JD.com's record-breaking '618' event this year was grocery, with sales almost doubling[2].

While general retail has been building momentum online for some years, grocery has been something of a laggard, rarely accounting for more than 15% of the overall grocery market. Historically the major barrier to entry to online grocery has been trust – over 50% of customers do not trust online grocery deliveries to pick the freshest and best items[3]. For years this has been a catch-22 scenario for retailers: customers don't trust the quality of online grocery because they haven't tried it, but they won't try online grocery because they don't trust the quality.

COVID-19 has caused a new wave of customers to finally take a leap of faith into digital grocery. Retailers can be happy that they've won new customers online, but now comes the hard work of retaining them.

The need for Customer Infrastructure

Much has been made of retailers' attempts to keep up with surging online demand during the early phases of the pandemic. Even in globally advanced eCommerce markets like the UK, the lead retailer has had to significantly expand delivery capacity to keep up with demand[4]. In order to meet the needs of new customers, retailers have rightly focused on having the right physical infrastructure in place.

However, if retailers want to keep meeting the needs of customers, they'll now need to focus on a different kind of infrastructure - the online customer experience.

The ease of shopping online is a double-edged sword for retailers. If customers can shop online with one retailer, they can shop online with any retailer. Your competitor store is no longer 1 kilometre away, it is one click away. Customers can literally browse competitor shop windows while they are in your store, and for countless retailers in the Asia-Pac region where online sales have historically been low, their digital stores may be looking rather outdated.

So while you may have won new customers, the fight to keep them is much more challenging.

Getting the digital experience right

The principles of great customer experience online are the same as instore. It's about helping customers easily find what they want. It's about helping customers feel they've got a good deal. It's about having a well-laid out store. Fundamentally, a great digital experience is about putting customers first and responding to their needs. Thankfully, the nature of eCommerce makes it possible to know these needs in detail through the wealth of data available to retailers. The data you're likely already collecting will tell you everything required to build a better overall and individual shopping experience for each customer who shops online.

Here are 3 ways retailers can act now to build a winning customer experience online:

  1. Bring the offline online
    Your customers may be new online, but many of them will be existing offline shoppers. Their loyalty card history enables you to show them items they already buy. Better still, predictive data science can detect which of those items are staple and regular purchases that each customer might need right now – helping them quickly and efficiently build a basket based on their own personal behaviour. This knowledge can also help act as an online virtual assistant, helping customers find substitutes for out of stock products and prompting them with items they may have forgotten to add at the checkout.
  2. Make it easy to find value
    In a world where customers can price compare at the flick of a tab, maintaining price perception is vital. This is easier said than done online, as customers won't spend time browsing the 500 products you have on special that week. Instead, use relevancy algorithms to curate your promotions list at the customer level using their previous behaviour, and show each customer the offers that actually matter to them.
  3. Optimise the navigation
    Newer online customers tend to use online search and taxonomy functions much more than experienced online shoppers. If your online category flow is unclear, difficult to interpret or poorly arranged, shoppers will have a harder and more frustrating experience. Equally, if their searches lead to incorrect or blank results, customers will quickly lose patience. Site analytics data in the hands of an expert is a goldmine for optimising the online navigation – from naming and arranging categories in a strong taxonomy to eliminating poor-performing searches.

Retailers in Asia have a limited window of time to win the continued business of new online customers. As these customers become more familiar with the experience, the greater will be their demands and their likelihood to look elsewhere when their experience is sub-optimal.

At dunnhumby, we've been advising grocery retailers on digital best practise for over 10 years, led by 30+ years of leading experience in data science and we have developed a range of products for retailers to deliver exactly these kinds of industry-leading customer experience online, powered by retail data.

In the next part of our series on the post-COVID landscape in Asia-Pacific, we'll explore the diverging needs of customers in the wake of the pandemic, and how omnichannel personalisation can help retailers meet those needs efficiently and effectively.

[1] E-commerce drives China's stay-at-home economy in coronavirus aftermath & China's online grocery sector set for explosive growth, says GlobalData

[2] Chinese shoppers are staying online. That's great news for JD.com

[3] Study cites barriers to online grocery shopping

[4] Tesco Delivers One Million Online Orders In A Week In The UK

FOR RETAILERS

Smarter operations and sustainable growth, powered by Customer Data Science.

FOR BRANDS

Better understand and activate your Shoppers to grow sales.

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.