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In 2016 General Electric (GE) sold its domestic appliances division to Haier from China. The American company reached a dismal situation wherein it needs to repay a large debt and streamline its businesses. Selling the consumer-oriented business may have seemed to the management, led at the time by previous CEO Jeff Immelt, as a means to relieve the company from a business that is out-of-line with its other mostly industry-oriented business areas. However, that division was an asset whose value could not be measured just in financial terms — it was more than a capital asset. It provided a valuable support to the brand of General Electric, together with the lighting business. The incoming CEO John Flannery is planning even more drastic changes to the company’s composition, but removing the appliances division might turn out as an obstacle to his mission. The industry brand of GE could benefit from its long appraised consumer brand.

General Electric is engaged in a range of business areas. In some of them the company has obtained or enhanced its capabilities through acquisitions during the tenures of CEOs Jack Welch (1981-2001) and Jeff Immelt (2001-2017). The businesses of GE feature: (1)  Additive –advanced manufacturing technologies (e.g., 3D printing); (2) Aviation — engines, components and electric systems for jets, and avionics (e.g., innovative digital pilot dash-boards); (3) Power, including gas, steam and nuclear power; (4) Industrial Connections, including electrification, grid and control; (5) Healthcare — medical technologies such as ultrasound, MRI  & CT, digital integrated care (i.e., data sharing and management), patient monitoring, surgical imaging and more; (6) Renewable Energy, including wind, solar and hydro, and innovative hybrid solutions; (7) Transportation — digital automation and industrial Internet-of-Things (IoT) solutions for  locomotives, marine (drilling) and mining.  The businesses of GE today are directed largely to industrial, commercial, and public clients. The last business that targets consumers at least in part is Lighting, offering advanced LED bulbs (e.g., smart IoT-controlled, HD-quality), linear fluorescents, and other products.

Noteworthy, digital transformation is omnipresent through most of the businesses of the company, entailing advanced computer-based digital systems, interfaces, and mobile applications (e.g., IoT apps developed in co-operation with leading hi-tech companies). Much of the digital activity seems to be originated, planned and developed at the Digital division or unit of the company (e.g., industrial apps serving IoT products, Predix — the online platform applying IoT data and predictive analytics, manufacturing software, as well as cybersecurity). Internet-of-Things functionality applies also to lighting products for consumers; it was supposed to be implemented as well in their domestic appliances. In practice, the appliances may still be reliant on GE for IoT technology even after the transition.

For many years the Appliances of GE were commonly associated by consumers with quality and durability — having a refrigerator carrying the art-graphic logo sign of GE in the kitchen was taken as a symbol of social status. In 2015 the appliances division generated revenues of $6.34bn, 7.1% of GE’s total revenues. The combined revenues of GE from appliances and lighting, as reported by the company, stood at $8.8bn (an increase of 4.8% from the previous year). Combined profits were $700m, a margin of 7.7% as percentage of revenues (GE 2015 report on financial results, Segment Operations: Appliances and Lighting). GE overall reported a loss in 2015 (see Chart 2). The company first tried to sell its appliances to Electrolux but the deal was objected by the American Department of Justice. A new process for selling the division started with Qingdao Haier, and after six months of negotiations a deal was closed in June 2016 at a price of $5.6bn. The range of appliances in their new ‘home’ includes refrigeration, cleaning (dishwashers), cooking, laundry (washing machines), accessories such as water filters, and air-conditioning.

The division of appliances is now identified as ‘GE Appliances: A Haier Company’. This company is in an interim period of transition, alas outwards its status creates a bit of confusion about who is really in charge. The company’s website is resident at a domain titled ‘geappliances.com’ and the company retains the brand identity of GE. The association with Haier does not seem too committing. For example, whom consumers should expect to be responsible for their appliances? Or, how to distinguish between appliances that originate from GE or from Haier? The headquarters of GE Appliances remains for the time being in US territory in Louisville, Kentucky, under American executive leadership. Recently, the new company announced the creation of appliance connectivity — operation command by voice and through mobile apps (IoT). Yet the technology is reasonably a direct extension of GE’s development of capabilities of Artificial Intelligence and IoT in their businesses for industry.

Haier has thereof received a strategic foothold on US soil, in hope to strengthen its position in the country and establish a long sought market share in the American market; American consumers have refrained from buying appliances of Haier. The Chinese manufacturer rose from a failing refrigerator factory in Qingdao of thirty years ago by instilling over time quality standards that were much higher than those accustomed in China. Zhang Ruimin, leading the transformation, succeeded remarkably in turning the company into a major national appliances manufacturer in China with global extensions. However, the quality standards at Haier remain behind those of developed countries and therefore the company’s efforts to sell in the ‘West’ have been lingering (1). Haier still has a challenge of closing a gap in quality and credibility, which the acquisition from GE is expected to help overcome.  Many consumers in the US as well as in other Western countries will probably remain concerned by ambiguity about the source of their appliances, being of GE (United States) or Haier (China). Haier also gained important American technological know-how (e.g., in AI) from the American company. General Electric apparently gained a financial relief, but one that may be only for a short-term, and the company may have to pay for it in the future.

The new CEO of GE, John Flannery, revealed in an annual ‘Investor Day’ meeting last month (Nov. ’17) the company’s plan to focus on three business areas: power, aviation, and healthcare. It will exit completely some of its existing business operations (e.g., transportation, lighting, industrial solutions, electrification) while reducing its effort and involvement in others. For example, the company will retain its digital unit or division to develop and sell apps to customers for operating and monitoring equipment reliant on Predix platform, yet with a smaller budget. Flannery was less clear on the future of some areas such as renewable energy where the company is not completely willing to leave and some other arrangement may have to be found. Strategically, the plan is to reduce the span of businesses the company engages. In addition, the CEO informed analysts that the company will have to cut in half its dividends.

The share of GE climbed from a level of $25 to $30+ in late 2015 and held its price as high through 2016 with small fluctuations. Then, the price started to slip down continually through 2017. So much for the effect of selling GE Appliances on equity. By August 2017 the share price already came back to $25. Since Flannery entered the CEO office, and subsequently following the announcement of his plan and the harsh cut in dividends, the share price steeply fell to about $18, as low as the band of $15-20 in which the share fluctuated in 2009-2011.

Chart 1 GE Share Price

Analysts were left unsatisfied and critical about the turnaround plan at GE. They complain for instance that the company is too expansive, and that it must increase efficiency and reduce duplicate costs across the organization (Reuters, 13 Nov. ’17). Others express concern in particular about the debt at GE, and that the plan includes insufficient measures to fix problems with the company’s businesses (CNBC.com, 14 Nov. 2017 — also noted, GE share underperformed S&P 500). Part of the cure will have to include exit from some businesses (e.g., where GE entered by acquiring another company or where it did not build a substantial advantage). Nevertheless, increasing efficiency and reducing duplicate costs can be achieved also by merging some associated areas and consolidating them into a new division, though perhaps narrowing the scope of operation in each field. One example for doing so may be in the area of energy: sources, production or distribution (i.e., power, renewable energy, connections). Another area to consider is ‘digital’ — balancing between development of original technologies and solutions in a central unit, and their implementation for specific systems and equipment in the various business divisions. Letting go of the appliances business could be seen as a logical way to free resources for advancing industry-related areas of expertise that remain. But solving problems of over-expansion and inefficiency in the industry-oriented businesses did not have to come at the expense of the consumer-oriented business in which the company developed product and brand advantages over decades.

The company has to come to terms now with damages from excessive expansion-by-acquisition, a strategy led by Welch and followed by Immelt. The ‘elephant in the room’ for the company is GE Capital, the investment bank of General Electric, whose troubles particularly since 2009 inflict on the whole company. Now the company under Flannery plans to heal by letting go of some more of its genuine businesses such as transportation and lighting (Matt Egan, CNNMoney.com, 20 Nov. ’17), that is, in addition to the appliances already shed by Immelt. The company has built an expertise in transportation, especially locomotives, during the past hundred years. Lighting can be regarded as a founder’s asset of the company (i.e., attributed to Thomas Edison); as described by Egan, lighting “symbolizes the company’s history of innovation”. General Electric could find it very difficult to continue after removing parts of its heart and soul.

The intensive occupation of the company with allocation of capital was initiated and developed by Welch but it spiralled out of control under the leadership of Immelt. The latter quadrupled the amount of capital invested in the company (from $42bn in 2001 to $163bn in 2009) which involved a significant increase in borrowing. By 2011 it was recognised as a major problem with the management of Immelt. Geoff Colvin of Fortune described how Immelt as CEO remade the portfolio of GE, for instance by entering new “future industries”  (e.g., healthcare, green energy). However, his aggressive expansion came at a high cost. While the CEO already tried to unburden the company from some businesses (e.g., NBC and Universal Studios), it was seen by analysts as insufficient. The real issue at GE, as Colvin noted, was capital allocation, and it became more so critical at GE Capital (2). The decision to quit the involvement of GE in TV broadcasting and online media (NBC) as well as cinema productions (Universal) sounds very reasonable. Conversely, the claim supported also by Colvin that Immelt was waiting too long to unload appliances (executed only in 2016) and lighting (never completed to-date) from GE should be much less applauded because these business areas made-up a distinct branch at GE with deep roots, and were also carriers of its consumer brand, a valued non-tangible asset.

In a highly critical opinion column in the Financial Times, John Gapper argues that focusing management on capital allocation could kill GE as an industrial company. It would make GE operate more like an equity fund. The company needs to shift because it may no longer be sustainable to run a manufacturing conglomerate as in the 1980s. However, it does not require to treat the business units as equity holdings for capital optimization: “Once efficient allocation becomes the priority, it is hard avoid this cycle.” It cannot be surprising for Flannery to continue this path, following the leadership of Welch and Immelt, considering his long career at GE Capital, up to the latest post he held as head of that division. Culture and a style of management have kept the units of GE stick together like a glue for many years. Without them, Gapper wonders how longer GE can hold together (FT.com 15 Nov. ’17).

The financial figures of GE in 2015 and 2016, as published in the Fortune 500 ranking, show little so far in favour of the impact of exiting from some business activities such as Appliances, measures taken by Immelt to heal the company in his last years in office: The revenues have fallen, but moreover the return on revenues has also decreased from a level of 8%-10% in 2011-2014 to 7% in 2016, after recovering from a loss in 2015 (Chart 2 below). It should be noted nonetheless that the value of assets has already shrunk by 50% between 2011 ($717bn) and 2016 ($365bn).

Chart 2 GE Revenues and Profits

  • General Electric descended from former 6th-9th positions in the ranking of Fortune 500 (US) to 11th place in 2015 and 13th in 2016.

The products of GE for consumers, both appliances and lighting devices, were the ‘face’ of the company to the wide public and a closer form of connection with consumers. Their contribution is in providing stability and longevity to the GE brand, identified by name, logo, and other associated elements. Above all, the brand was represented in products, equipment and devices, in millions of homes, to be useful in the everyday lives of the consumers and make their lives more comfortable. The domestic products also were a channel to implement some of the technological progress and innovation of the company and demonstrate them to a wider public audience. Consequently, exposing consumers (who also happen to be small investors) to GE could help to increase public confidence in the company, especially in turbulent times.

General Electric did not depend on the appliances and may do well without that business. The same may be true for the lighting business. But removing them will not bring the cure either– the selling of GE Appliances apparently has gone wasted so far. Instead, keeping the consumer products would have enhanced the corporate brand. The management could perhaps have gained some peace of mind while reforming their industry-related businesses. In the medium term, making reforms could be a little harder for Flannery and his top-management team to push through. In the longer term, leaving consumer products out of the company — as already happened with the appliances and is expected to repeat with lighting — may remain as a wound, something amiss, in the reputation and brand image of General Electric.

Ron Ventura, Ph.D. (Marketing)


(1) “Zhang Ruimin’s Haier Power”, Michael Schuman, Time (Europe), 14 April 2014 (183 (14)).

(2) “Grading Jeff Immelt”, Geoff Colvin, Fortune (Europe), 28 February 2011 (163 (3)).



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Transparency; reliability; trust: These key terms are rehearsed and highlighted many times in textbooks and business books, academic and trade articles about managing customer relationships. Holding up to them is based, for example, on being honest, truthful and fair when making product or service offers to customers and in any other dealings between a company and its customers. However, those concepts that are good in managerial and marketing theory are too often lost when it comes to practice.

In addition, experts, technology consultants and other advocates of digital marketing are praising the capacity gained by companies to know so much about the behaviour and personal characteristics of their customers. One of the great benefits of this customer knowledge is in enabling companies to construct offers that will closely fit the needs, preferences and consumption or usage habits of their customers. Again, a gap emerges between what companies are supposedly capable to do with digital technologies available to them, including information and tools, and what they actually do. More accurately,  oftentimes companies are not doing enough in utilising those technologies to the intended purpose of creating better fitting offerings and messages.

The present post is based on a true story of a troubling journey to acquire an iPhone from a mobile telecom service provider (it will be called here ‘WM’). But this post is not just about the case of a particular company. Similar forms of problematic conduct are likely to be encountered at competing mobile service providers as well as other telecom service companies such as TV (cable and satellite), telephony (voice and data) and Internet providers. Moreover, at least some of these types of flawed conduct will be familiar to the reader from interaction with service providers in other domains (e.g., banking and finance, credit cards, insurance, healthcare, travel and tourism). In essence, this conduct refers most typically to providers of contractual services, and particularly when services extend over months and years.

An upgrade of a customer’s mobile phone is often accompanied by a modification of his or her service package; it is justified especially when a large generation gap exists between the previous and the new model. Two-part and three-part tariff schemes have been common in mobile communication for many years, splitting the price of service between fixed and variable components. Usage possibilities and patterns have changed, however, with smartphones, pertaining in particular to the online flow of data and the use of mobile applications (‘apps’). Service packages more frequently combine bundles of included (‘pre-paid’) units — minutes (voice), messages (SMS), and data MBs/GBs (mobile websites and apps); the weight of variable cost (i.e., based on price per unit), drops vis-à-vis a fixed cost component.

Subscribed customers are encouraged to pre-commit to ever larger bundles or unit quotas, some of them could constantly be left unspent each month. At least in one category it is sensible for mobile service providers to ‘give away’ a large quantity of messages amid the expanded messaging by customers via free chatting apps (e.g., WhatsApp, Facebook’s Messenger). The marginal cost per unit of any kind could be much lower now for the mobile network companies to make it economic for them to offer larger bundles, and thus attract customers to their ‘great value’ plans (i.e., the customer gets lots of ‘free’ units). Albeit, if customers do not utilise large enough portions of their quotas, they could end up paying for units they never get to benefit from.

A service plan was offered with the new phone purchased, including 10GBs of data, 5000 minutes and 5000 messages per month. This volume signalled a dramatic increase from my previous consumption levels. No doubt the new smartphone could support a huge data volume not possible with the previous semi-smartphone model, but also a volume hard to imagine how it may be used. Nor was it perceivable how to use anything near 5000 SMS. That is the magic of large numbers — they can be fascinating and captivating, yet meaningless at least in a short to medium term. The sales representative at the store and service centre of WM promised that it will save up to 45% of my bill so far. With the service package I get also ‘marvellous high-fidelity’ wireless-Bluetooth earphones, supposedly as a bonus or gift. No other plan was suggested. The relation of the earphones to the discount was not explained. Protesting that I do not really need those earphones did not help. It was awkward, but then it seemed that the enlarged traffic volume, that one might learn how to take advantage of, with a reduction in monthly cost could be worth it. The value of the earphones was negligible to me (but apparently not to WM). That is probably where System 1 got the hold of me. When not feeling on solid ground, swapped with documentation, and distracted, one may fail to pose difficult, intelligent questions;  System 2 remains dormant or blocked. It was a combination of desire to believe the offer is good for me, and to trust the company that it will treat me fairly.

The secret behind the earphones was revealed in the next monthly bill. If paid in cash, their price was about $150 vis-à-vis $900 for the iPhone. I agreed to pay for the iPhone in 12 credit installments (adding  5% in cost). However, the additional and unexpected payment for the earphones was set to be spread over 36 months (+65%! added to price in cash). The discount on service was for 12 months. The payments for the earphones would “eat” much of the discount during the first year. Furthermore, they will drag for another 24 months while the cost of service package returns to its previous level, though of course with a much greater usage allowance. Lesson: Beware of ‘free gifts’ and make sure to get all the details (see more in the section below on contracts).

This has brought me promptly back to the service centre — the staff refused to take their earphones back and gave me another nice demonstration of their performance. However, with the help of a kind supervisor we agreed that payments for both iPhone and earphones will be changed to 6 instalments with no interest (see more in the section on execution).

The Bluetooth earphones may well be a good product and the representatives were right to offer it, but it is wrong to impose the earphones as a ‘bonus’ or incentive if the customer is not interested and declines the offer. Furthermore, at least one other package option should have been recommended that would be more aligned with previous usage in recent months. A smart system should know how to use past behaviour of the customer as a benchmark and propose a reasonable expansion of usage levels of minutes, messages and data. First, it would make the customer feel that the company knows him or her (e.g., needs and usage patterns) and is trying in accordance to provide the most suitable personalised solutions. Second, when the quota of units posits a sensible ‘ceiling’ to the customer it may serve as a goal or an aspiration level to gradually increase his or her usage towards it, and then upgrade the service plan. Otherwise, the customer may be just lost, having no appreciative reference for scaling one’s personal usage levels (perhaps that is the objective, to let customers with less self-control carry away, but that is beyond the scope of this story).

Signing contracts to purchase products or receive services is frequently a sensitive matter and a host of potential pain points. This happens because customers usually cannot fully or even adequately read the contract and comprehend it at the time of transaction, and they are not sufficiently encouraged to spend the time reading and asking questions. The contract for my smartphone included, for example, the terms of payment, basic support, terms of usage,  liability and warranty, etc.. On each desk at the store and service centre of WM stands a tablet in portrait position. Regularly, it displays ads for services and products. However, WM saves on paperwork and employs the screen also to display contracts that can be signed digitally (later sent by e-mail). Reading the contract from the screen is not very convenient and the customer also cannot control the display to the pace of his or her reading. One is quickly brought to the place for signing. The contract for the earphones was separate in origin from the iPhone’s (later corrected); when the representative came to it, he jumped to the signature position which incidentally fell at the top of the screen. When asked to see what comes before, he said this is simply to confirm that I accept the earphones. At that point I wanted to trust him and WM. This turned out to be a mistake. Lesson: Never agree to sign a contract on a screen without seeing the previous screen pages (as you should not do when signing a paper contract). The tablet screen may appear informal and friendly but the contract is binding.

  • In fact, by returning to the issue of service plans, the tablet already on the desk can be used cleverly for displaying service options to a customer while taking into account his or her personal usage patterns. That is, the company can show the customer what would be the cost implication of a proposed service plan given current usage levels, and how it may change if usage levels increase by X%.

On top of all, bad execution of proceedings can temper even actions taken in good faith. It may happen as a result of neglect, lacking proficiency by the staff (e.g., how to use the computer system), or flaws in computer software (e.g., poor execution of instructions). Here are two examples — no attempt is made to guess what has caused them:

As told above, the payment arrangement was changed with special managerial consent to six instalments with no interest, as an option in the contract allows, for both the iPhone and earphones. Unfortunately, a notice from the bank as well as the credit card monthly bill soon revealed that the whole amount was charged in a single payment. The trap is apparently in the phrasing of the contract (translated): “The sum of $$$ that will be charged in one payment (or up to six payments to the choice of the customer at the time of acquisition)”. The phrase ambiguously does not specify in how many (equal) payments, up to six, that (cash) price will be charged. This ambiguity has led to practically ignoring the content in parentheses and what was agreed accordingly. It is noted that a statement on an option of payment in instalments with interest explicitly indicates the number of payments and amount of each one. The phrasing of the first statement must similarly be fixed for that option to have any validity.

In the second case, the company left in place a monthly charge (~$6) for a quota of 70 SMS from my previous service package. Obviously, this number is negligible relative to the new allowance of 5000 SMS a month in the new service plan with the iPhone. They should have automatically removed this obsolete component together with other components from the older plan. The customer service representative at the call centre argued that I should have asked it to be cancelled. That is, instead of apologising for an honest mistake, and possibly reimbursing me for the past month, she made it look as if I may have wanted a non-significant addition of 70 SMS to 5000 SMS (>70:1 ratio). That was already infuriating because it made no sense at all. Lesson: Always check your bills carefully.

The customer journey to purchase an iPhone evolved into a kind of chain of pitfalls, acts of malpractice, and errors of unknown source or cause. It must be emphasised that the troubles are concerned with the envelope of services that enable using the iPhone and not the device itself. It is a story of failure of sales and service representatives to listen, a tendency to repeat answers regardless of the customer’s response (i.e., lack of sensitivity or rigidity forced from above), and possibly a skill problem in retrieving information and instructing their computer systems correctly. Where supervisors or managers do try to fix things, organisational and technological pitfalls may stand in their way. Nonetheless, the more disturbing moments of the experience surface when a customer feels an attempt to manipulate has been made (e.g., by diverting attention or hiding information). Being manipulated generally feels uneasy, because among other things it infringes on a consumer’s autonomy to make a decision in one’s own good, but it is all the more damaging when done just to serve the manipulator’s interest (e.g., make a sale)[*].

Companies and customers alike can help in minimising negative encounters that can spoil customer journeys. Consumers can be more vigilant, pay more attention to details, and ask questions when offers do not sound or look right. Yet in the real world consumers cannot avoid being off guard, erring in judgement, or being complacent — much of the time humans are driven by the intuitive and instinctive System 1 mode of thinking. Companies can make greater effort to ensure customers have the relevant information and comprehend it; be attentive to what customers ask or argue; and overall show respect to customers and refrain from egregiously exploiting their cognitive vulnerabilities — perhaps naïve, but not illegitimate to expect.

Ron Ventura, Ph.D. (Marketing)


[*] Further reading: “Fifty Shades of Manipulation”; Cass R. Sunstein , 2016; Journal of Marketing Behavior, 1 (3-4), pp. 213-244.

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Fifteen years have passed since a Nobel Prize in economics was awarded to Daniel Kahneman to this time (Fall 2017) when another leading researcher in behavioural economics, Richard Thaler, wins this honourable prize. Thaler and Kahneman are no strangers — they have collaborated in research in this field from its early days in the late 1970s. Moreover, Kahneman together with the late Amos Tversky helped Thaler in his first steps in this field, or more generally in meeting economics with psychology. Key elements of Thaler’s theory of Mental Accounting are based on the value function in Kanheman and Tversky’s Prospect theory.

In recent years Thaler is better known for the approach he devised of choice architecture and the tools of nudging, as co-author of the book “Nudge: Improving Decisions About Health, Wealth and Happiness” with Cass Sunstein (2008-9). However, at the core of the contribution of Thaler is the theory of mental accounting where he helped to lay the foundations of behavioural economics. The applied tools of nudging are not appropriately appreciated without understanding the concepts of mental accounting and other phenomena he studied with colleagues which describe deviations in judgement and behaviour from the rational economic model.

Thaler, originally an economist, was unhappy with predictions of consumer choice arising from microeconomics — the principles of economic theory were not contested as a normative theory (e.g., regarding optimization) but claims by economists that the theory is able to describe actual consumer behaviour and predict it were put into question. Furthermore, Thaler and others early on argued that deviations from rational judgement and choice behaviour are predictable.  In his ‘maverick’ paper “Toward a Positive Theory of Consumer Choice” from 1980, Thaler described and explained deviations and anomalies in consumer choice that stand in disagreement with the economic theory. He referred to concepts such as framing of gains and losses, the endowment effect, sunk costs, search for information on prices, regret, and self-control (1).

The theory of mental accounting developed by Thaler thereafter is already an integrated framework that describes how consumers perform value judgements and make choice decisions of products and services to purchase while recognising psychological effects in making economic decisions (2).  The theory is built around three prominent concepts (described here only briefly):

Dividing a budget into categories of expenses: Consumers metaphorically (but sometimes physically) allocate the money of their budget into buckets or envelopes according to type or purpose of expenses. It means that they do not transfer money freely between categories (e.g., food, entertainment). This concept contradicts the economic principle of fungibility, thus suggesting that one dollar is not valued the same in every category. A further implication is that each category has a sub-budget allotted to it, and if expenses in the category during a period surpass its limit, a consumer will prefer to give up on the next purchase and refrain from adding money from another category. Hence, for instance,  Dan and Edna will not go out for dinner at a trendy restaurant if that requires taking money planned for buying shoes for their child. However, managing the budget according to the total limit of income in each month is more often unsatisfactory, and some purchases can still be made on credit without hurting other purchases in the same month. On the other hand, it can readily be seen how consumers get into trouble when they try to spread too many expenses across future periods with their credit cards, and lose track of the category limits for their different expenses.

Segregating gains and integrating losses: In the model of a value function by Kahneman and Tversky, value is defined upon gains and losses as one departs from a reference point (a “status quo” state). Thaler explicated in turn how properties of the gain-loss value function would be implemented in practical evaluations of outcomes. The two general “rules”, as demonstrated most clearly in “pure” cases, say: (a) if there are two or more gains, consumers prefer to segregate them (e.g., if Chris makes gains on two different shares on a given day, he will prefer to see them separately); (b) if there are two or more losses, consumers prefer to integrate them (e.g., Sarah is informed of a price for an inter-city train trip but then told there is a surcharge for travelling in the morning — she will prefer to consider the total cost for her requested journey). Thaler additionally proposed what consumers would prefer doing in more complicated cases of “mixed” gains and losses, whether to segregate between the gain and loss (e.g., if the loss is much greater than the gain) or integrate them (e.g., if the gain is larger than the loss so that one remains with a net gain).

Adding-up acquisition value with transaction value to evaluate product offers: A product or service offer generally exhibits in it benefits and costs to the consumer (e.g., the example of a train ticket above overlooked the benefit of the travel to Sarah). But value may arise from the offering or deal itself beyond the product per se. Thaler recognised that consumers may look at two sources of value, and composing or adding them together would yield the overall worth of a product purchase offer: (1) Acquisition utility is the value of a difference between the [monetary] value equivalent of a product to the consumer and its actual price; (2) Transaction utility is the value of a difference between the actual price and a reference price. In the calculus of value, hides the play of gains and losses. This value concept was quite quickly adopted by consumer and marketing researchers in academia and implemented in means-end models that depict chains of value underlying the purchase decision process of consumers (mostly in the mid-1980s to mid-1990s). Thaler’s approach to ‘analysing’ value is getting more widely acknowledged and applied also in practice, as expressions of value as such in consumer response to offerings can be found in so many domains of marketing and retailing.

A reference price may receive different representations, for instance: the price last paid; price recalled from a previous period; average or median price in the same product class; a ‘normal’ or list price; a ‘fair’ or ‘just’ price (which is not so easy to specify). The transaction value may vary quite a lot depending on the form of reference price a consumer uses, ceteris paribus, and hence affect how the transaction value is represented (i.e., as a gain or a loss and its magnitude). Yet, it also suggests that marketers may hint to consumers a price to be used as a reference price (e.g., an advertised price anchor) and thus influence consumers’ value judgements.

We often observe and think of discounts as a difference between an actual price (‘only this week’) and a higher normal price — in this case we may construe the acquisition value and transaction value as two ways to perceive gain on the actual price concurrently. But the model of Thaler is more general because it recognizes a range of prices that may be employed as a reference by consumers. In addition, a list price may be suspected to be set higher to invoke in purpose the perception of a gain vis-à-vis the actual discounted price which in practice is more regular than the list price. A list price or an advertised price may also serve primarily as a cue for the quality of the product (and perhaps also influence the equivalent value of the product for less knowledgeable consumers), while an actual selling price provides a transaction value or utility. In the era of e-commerce, consumers also appear to use the price quoted on a retailer’s online store as a reference; then they may visit one of its brick-and-mortar stores, where they hope to obtain their desired product faster, and complain if they discover that the price for the same product in-store is much higher. Where customers are increasingly grudging over delivery fees and speed, a viable solution to secure customers is to offer a scheme of ‘click-and-collect at a store near you’. Moreover, when more consumers shop with a smartphone in their hands, the use of competitors’ prices or even the same retailer’s online prices as references is likely to be even more frequent and ubiquitous.

  • The next example may help further to illustrate the potentially compound task of evaluating offerings: Jonathan arrives to the agency of a car dealer where he intends to buy his next new car of favour, but there he finds out that the price on offer for that model is $1,500 higher than a price he saw two months earlier in ads. The sales representative claims prices by the carmaker have risen lately. However, when proposing a digital display system (e.g., entertainment, navigation, technical car info) as an add-on to the car, the seller proposes also to give Jonathan a discount of $150 on its original price tag.
  • Jonathan appreciates this offer and is inclined to segregate this saving apart from the additional pay for the car itself (i.e., ‘silver-lining’). The transaction value may be expanded to include two components (separating the evaluations of the car offer and add-on offer completely is less sensible because the add-on system is still contingent on the car).

Richard Thaler contributed to the revelation, understanding and assessment of implications of additional cognitive and behavioural phenomena that do not stand in line with rationality in the economic sense. At least some of those phenomena have direct implications in the context of mental accounting.

One of the greater acknowledged phenomena by now is the endowment effect. It is the recognition that people value an object (product item) already in their possession more than when having the option of acquiring the same object. In other words, the monetary compensation David would be willing to accept to give up on a good he holds is higher than the amount he would agree to pay to acquire it —  people principally have a difficulty to give up on something they own or endowed with (no matter how they originally obtained it). This effect has been most famously demonstrated with mugs, but to generalise it was also tested with other items like pens. This effect may well squeeze into consumers’ considerations when trying to sell much more expensive properties like their car or apartment, beyond an aim to make a financial gain. In his latest book on behavioural economics, ‘Misbehaving’, Thaler provides a friendly explanation with graphic illustration as to why fewer transactions of exchange occur between individuals who obtain a mug and those who do not, due to the endowment effect vis-à-vis a prediction by economic theory (3).

Another important issue of interest to Thaler is fairness, such as when it is fair or acceptable to charge a higher price from consumers for an object in shortage or hard to obtain (e.g., shovels for clearing snow on the morning after a snow storm). Notably, the perception of “fairness” may be moderated depending on whether the rise in price is framed as a reduction in gain (e.g., a discount of $2o0 from list price being cancelled for a car in short supply) or an actual loss (e.g., an explicit increase of $200 above the list price) — the change in actual price is more likely to be perceived as acceptable in the former case than the latter (4). He further investigated fairness games (e.g., Dictator, Punishment and Ultimatum). Additional noteworthy topics he studied are susceptibility to sunk cost and self-control.

  • More topics studied by Thaler can be traced by browsing his long list of papers over the years since the 1970s, and perhaps more leisurely through his illuminating book: “Misbehaving: The Making of Behavioural Economics” (2015-16).

The tactics of nudging, as part of choice architecture, are based on lessons from the anomalies and biases in consumers’ procedures of judgement and decision-making studied by Thaler himself and others in behavioural economics. Thaler and Sunstein looked for ways to guide or lead consumers to make better choices for their own good — health, wealth and happiness — without attempting to reform or alter their rooted modes of thinking and behaviour, which most probably would be doomed to failure. Their clever idea was to work within the boundaries of human behaviour to modify it just enough and in a predictable way to put consumers on a better track to a choice decision. Nudging could mean diverting a consumer from his or her routine way of making a decision to arrive to a different, expectedly better, choice outcome. It often likely involves taking a consumer out of his or her ‘comfort zone’. Critically important, however, Thaler and Sunstein conditioned in their book ‘Nudge’ that: “To count as a mere nudge, the intervention must be easy and cheap to avoid. Nudges are not mandates“. Accordingly, nudging techniques should not impose on consumers the choice of any designated or recommended options (5).

Six categories of nudging techniques are proposed: (1) defaults; (2) expect errors; (3) give feedback; (4) understanding “mappings”; (5) structure complex choices; and (6) incentives. In any of these techniques, the intention is to allow policy makers to direct consumers to choices that improve the state of consumers. Yet, the approach they advocate of ‘libertarian paternalism’ is not received without contention —  while libertarian, that is without coercing a choice, a question remains what gives an agency or policy maker the wisdom and right to determine which options should be better off for consumers (e.g., health plans, saving and investment programmes). Thaler and Sunstein discuss the implementation of nudging mostly in the context of public policy (i.e., by government agencies) but these techniques are applicable just as well to plans and policies of private agencies or companies (e.g., banks, telecom service providers, retailers in their physical and online stores). Nevertheless, public agencies and even more so business companies should devise and apply any measures of nudging to help consumers to choose the better-off and fitting plans for them; it is not for manipulating the consumers or taking advantage of their human errors and biases in judgement and decision-making.

Richard Thaler reviews and explains in his book “Misbehaving” the phenomena and issues he has studied in behavioural economics through the story of his rich research career — it is an interesting, lucid and compelling story. He tells in a candid way about the stages he has gone through in his career. Most conspicuously, this story also reflects the obstacles and resistance that faced behavioural economists for at least 25-30 years.

Congratulations to Professor Richard Thaler, and to the field of behavioural economics to which he contributed wholesomely, in theory and in its application.    

Ron Ventura, Ph.D. (Marketing)


(1) Toward a Positive Theory of Consumer Choice; Richard H. Thaler, 1980/2000; in Choices, Values and Frames (eds. Daniel Kahneman and Amos Tversky)[Ch. 15: pp. 269-287], Cambridge University Press. (Originally published in Journal of Economic Behaviour and Organization.)

(2) Mental Accounting and Consumer Choice; Richard H. Thaler, 1985; Marketing Science, 4 (3), pp. 199-214.

(3) Misbehaving: The Making of Behavioural Economics; Richard H. Thaler, 2016; UK: Penguin Books (paperback).

(4) Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias; Daniel Kahneman, Jack L. Knetsch, & Richard H. Thaler, 1991/2000; in Choices, Values and Frames (eds. Daniel Kahneman and Amos Tversky)[Ch. 8: pp. 159-170], Cambridge University Press. (Originally published in Journal of Economic Perspectives).

(5) Nudge: Improving Decisions About Health, Wealth, and Happiness; Richard H. Thaler and Cass R. Sunstein, 2009; UK: Penguin Books (updated edition).

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The discipline of consumer behaviour is by now well versed in the distinction between System 1 and System 2 modes of thinking, relating in particular to consumer judgement and decision making, with implications for marketing and retail management. Much appreciative gratitude is owed to Nobel Prize Laureate in economics Daniel Kahneman for bringing forward the concept of these thinking systems to the knowledge of the wider public (i.e., beyond academics) in his book “Thinking, Fast and Slow” (2012). ‘System 1’ and ‘System 2’, though not always using these labels, have been identified and elaborated by psychologists earlier than Kahneman’s book, as the author so notes. However, Kahneman succeeds in making more crystal clear the concepts of these different modes of thinking while linking them to phenomena studied in his own previous research, most notably in collaboration with the late Amos Tversky.

In a nutshell: System 1’s type of thinking is automatic, associative and intuitive; it tends to respond quickly, but consequently it is at higher risk of jumping to wrong conclusions. It is the ‘default’ type of thinking that guides human judgement, decisions and behaviour much of the time. On the other hand, System 2’s type of thinking is deliberative, logical, critical, and effortful; it involves deeper concentration and more complex computations and rules. System 2 has to be called to duty voluntarily, activating rational thinking and careful reasoning. Whereas thinking represented by System 1 is fast and reflexive, that of System 2 is slow and reflective.

Kahneman describes and explains the role, function and effect of System 1 and System 2 in various contexts, situations or problems. In broad terms: Thinking of the System 1 type comes first; System 2 either passively adopts impressions, intuitive judgements and recommendations by System 1 or actively kicks-in for more orderly examination and correction (alas, it tends to be lazy, not in a hurry to volunteer). Just to give a taste, below is a selection of situations and problems in which Kahneman demonstrates the important differences between these two modes of thinking, how they operate and the outcomes they effect:

  • # Illusions (e.g., visual, cognitive)  # Use of memory (e.g., computations, comparisons)  # Tasks requiring self-control  # Search for causal explanations  # Attending to information (“What You See Is All There Is”)  # Sets and prototypes (e.g., ‘average’ vs. ‘total’ assessments)  # Intensity matching  # ‘Answering the easier question’ (simplifying by substitution)  # Predictions (also see correlation and regression, intensity matching, representativeness)  # Choice in opt-in and opt-out framing situations (e.g., organ donation)
  • Note: In other contexts presented by Kahneman (e.g., validity illusion [stock-picking task], choice under Prospect Theory), the author does not connect them explicitly to  System 1 or System 2 so their significance may only be indirectly implied by the reader.

In order to gain a deeper understanding of System 1 and System 2 we should inspect the detailed aspects differentiating between these thinking systems. The concept of the two systems actually emerges from binding multiple dual-process theories of cognition together, thus appearing to be a larger cohesive theory of modes of thinking. Each dual process theory is usually focused on a particular dimension that distinguishes between two types of cognitive processes the human mind may utilise. However, those dimensions ‘correlate’ or ‘co-occur’, and a given theory often adopts aspects from other similar theories or adds supplementary properties; the dual-system conception hence is built on this conversion. The aspects or properties used to describe the process in each type of system are extracted from those dual-process theories. A table presented by Stanovich (2002) helps to see how System 1 and System 2 contrast in various dual-process theories. Some of those theories are: [For brevity, S1 and S2 are applied below to refer to each system.)

  • S1: Associative system / S2: Rule-based system (Sloman)
  • S1: Heuristic processing / S2: Analytic processing (Evans)
  • S1: Tacit thought process / S2: Explicit thought process (Evans and Over)
  • S1: Experiential system / S2: Rational system (Epstein)
  • S1: Implicit inference / S2: Explicit inference (Johnson-Laird)
  • S1: Automatic processing / S2: Controlled processing (Shiffrin and Schneider)

Note: Evans and Wason related to Type 1 vs. Type 2 processes already in 1976.

  • Closer to consumer behaviour: Central processing versus peripheral processing in the Elaboration Likelihood Model (Petty, Cacioppo & Schumann) posits a dual-process theory of routes to persuasion.

Each dual process theory provides a rich and comprehensive portrayal of two different thinking modes. The theories complement each other but they do not necessarily depend on each other. The boundaries between the two types of process are not very sharp, that is, features of the systems are not all exclusive in the sense that a particular property associated with a process of System 1 may occur in a System 2 process, and vice versa. Furthermore, the processes also interact with one another, particularly in a way where System 2 relies on products of thought from System 1, either approving them or using them as a starting-point for further analysis. Nevertheless, occasionally System 2 may generate reasons for us merely to justify a choice made by System 1 (e.g., a consumer likes a product for the visual appearance of its packaging or its design).

Stanovich follows the table of theories with a comparison of properties describing System 1 versus System 2 as derived from a variety of dual process theories, but without attributing them to any specific theory (e.g., holistic/analytic, relatively fast/slow, highly contextualized/decontextualized). Comparative lists of aspects or properties have been offered by other researchers as well. Evans (2008) formed a comparative list of more than twenty attributes which he divided into four clusters (describing System 1/System 2):

  • Cluster 1: Consciousness (e.g., unconscious/conscious, automatic/controlled, rapid/slow, implicit/explicit, high capacity/low capacity)
  • Cluster 2: Evolution (e.g., evolutionary old/recent, nonverbal/linked to language)
  • Cluster 3: Functional characteristics (e.g.,  associative/rule-based, contextualized/abstract, parallel/sequential)
  • Cluster 4: individual differences (universal/heritable, independent of/linked to general intelligence, independent of/limited by working memory capacity).

Listings of properties collated from different sources (models, theories), interpreted as integrative profiles of System 1 and System 2 modes of thinking, may yield a misconception of the distinction between the two systems as representing an over-arching theory. Evans questions whether it is really possible and acceptable to tie the various theories of different origins under a common roof, suggested as an over-arching cohesive theory of two systems (he identifies problems residing mainly with ‘System 1’). It could be more appropriate to approach the dual-system presentation as a paradigm or framework to help one grasp the breadth of aspects that may distinguish between two types of cognitive processes and obtain a more comprehensive picture of cognition. The properties are not truly required to co-occur altogether as constituents of a whole profile of one system or the other. In certain domains of judgement or decision problems, a set of properties may jointly describe the process entailed. Some dual process theories may take different perspectives on a similar domain, and hence the aspects derived from them are related and appear to co-occur.

  • Evans confronts a more widely accepted ‘sequential-interventionist’ view (as described above) with a ‘parallel-competitive’ view.

People use a variety of procedures and techniques to form judgements, make decisions or perform any other kind of cognitive task. Stanovich relates the structure, shape and level of sophistication of the mental procedures or algorithms of thought humans can apply, to their intelligence or cognitive capacity, positioned at the algorithmic level of analysis. Investing more effort in more complicated techniques or algorithms entailed in rational thinking is a matter of volition, positioned at the intentional level (borrowed from Dennett’s theorizing on consciousness).

However, humans do not engage a great part of the time in thought close to the full of their cognitive capacity (e.g., in terms of depth and efficiency). According to Stanovich, we should distinguish between cognitive ability and thinking dispositions (or styles). The styles of thinking a person applies do not necessarily reflect everything one is cognitively capable of. Put succinctly, the fact that a person is intelligent does not mean that he or she has to think and act rationally; one has to choose to do so and invest the required effort into it. When one does not, it opens the door for smart people to act stupidly. Furthermore, the way a person is disposed to think is most often selected and executed unconsciously, especially when the thinking disposition or style is relatively fast and simple. Cognitive styles that are entailed in System 1, characterised as intuitive, automatic, associative and fast, are made to ease the cognitive strain on the brain, and they are most likely to occur unconsciously or preconsciously. Still, being intuitive and using heuristics should not imply a person will end up acting stupidly — some would argue his or her intuitive decision could be more sensible than one made when trying to think rationally; it may depend on how thinking in the realm of System 1 happens — if one rushes while applying an inappropriate heuristic or relying on an unfitting association, he or she could become more likely to act stupidly (or plainly, ‘being stupid’).

Emotion and affect are more closely linked to System 1. Yet, emotion should not be viewed ultimately as a disruptor of rationality. As proposed by Stanovich, emotions may fulfill an important adaptive regulatory role — serving as interrupt signals necessary to achieve goals, avoiding entanglement in complex rational thinking that only keeps one away from a solution, and reducing a problem to manageable dimensions. In some cases emotion does not disrupt rationality but rather help to choose when it is appropriate and productive to apply a rational thinking style (e.g., use an optimization algorithm, initiate counterfactual thinking). By switching between two modes of thinking, described as System 1 and System 2, one has the flexibility to choose when and how to act in reason or be rational, and emotion may play the positive role of a guide.

The dual-system concept provides a way of looking broadly at cognitive processes that underlie human judgement and decision making. System 1’s mode of thinking is particularly adaptive by which it allows a consumer to quickly sort out large amounts of information and navigate through complex and changing environments. System 2’s mode of thinking is the ‘wise counselor’ that can be called to analyse the situation more deeply and critically, and provide a ‘second opinion’ like an expert. However, it intervenes ‘on request’ when it receives persuasive signals that its help is required. Consideration of aspects distinguishing between these two modes of thinking by marketing and retail managers can help them to better understand how consumers conduct themselves and cater to their needs, concerns, wishes and expectations. Undertaking this viewpoint can especially help, for instance, in the area of ‘customer journeys’ — studying how thinking styles direct or lead the customer or shopper through a journey (including emotional signals), anticipating reactions, and devising methods that can alleviate conflicts and reduce friction in interaction with customers.

Ron Ventura, Ph.D. (Marketing)


(1)  Thinking, Fast and Slow; Daniel Kahneman, 2012; Penguin Books.

(2) Rationality, Intelligence, and Levels of Analysis in Cognitive Science (Is Dysrationalia Possible); Keith E. Stanovich, 2002; in Why Smart People Can Be So Stupid (Robert J. Sternberg editor)(pp. 124-158), New Haven & London: Yale University Press.

(3) Dual-Processing Accounts of Reasoning, Judgment and Social Cognition; Jonathan St. B. T. Evans, 2008; Annual Review of Psychology, 59, pp. 255-278. (Available online at psych.annualreviews.org, doi: 10.1146/annurev.psych.59.103006.093629).


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For Shufersal, the leading food retailer operating supermarkets in Israel, it looks like the sky is the limit. This is a message strongly received from the CEO of Shufersal, Itzhak Aberkohen, in a recent interview given to Globes business newspaper (for its annual publication of consumer-based equity-ranking of brands, July 2017). Shufersal is already a major national retailer, but since the collapse and sell-off of the main competing food chain Mega last year the road ahead is clear more than ever for Shufersal to ride on to stardom. The plans presented by the retailer’s CEO are definitely leading in that direction on different fronts.

  • Note: Shufersal has also been known as ‘Supersol’ but it appears that the retailer is moving to suppress that name in favour of enhancing its Shufersal brand name. The original name chosen for the retailer almost sixty years ago was composed by joining two words: ‘Shufra’ from Aramaic meaning excellent and ‘Sal’ which means basket in Hebrew. The retailer founded the first modern American-style supermarket in Israel in Tel-Aviv in 1958. Israelis frequently name the retailer ‘Supersal’ or ‘Shufersal’. The official choice of ‘Shufersal‘ by the company should make the consumers happy while remaining as true as possible to the legacy name.

The retailing company Shufersal operates over 270 stores. They are divided into multiple sub-chains of different store formats, designed to target different consumer segments or accommodate distinct shopping situations or goals. Three main sub-chains are: “My Shufersal” (the core sub-chain of ‘classic’ supermarkets in neighbourhoods); “Shufersal Deal” (large discount stores); and “Shufersal Express” (small convenience stores in neighbourhoods). Like most food chains, the stores offer in fact not only food and drink products but a larger variety of grocery and housekeeping products, and may sell as well toiletry or personal care products. Shufersal operates in addition a channel for online or digital shopping. It also has its own brand of products carrying the retailer’s name. The CEO seeks to enhance the company’s capacities in these domains, and then extend further. An important aspect in his plan is the digital transformation of the company’s retail operations and services.

  • Note that supermarkets in various countries may selectively add in different times and locations other product ranges (e.g., books and magazines, electric home equipment, housewares).

Shufersal is now on the verge of making a strategic entry into the field of ‘pharma’ retailing with the acquisition of New-Pharm, the second-sized pharma chain in the country. The food retailer already sells toiletry products in its stores, as indicated above, but it has no access to cosmetics (e.g., perfumed lotions, make-up) and non-subscription medications (via pharmacy departments). Taking over New-Pharm would provide it with this capability through the pharma-dedicated and licensed stores. The dominant leader in pharma in Israel is Super-Pharm, which gets the respect of Mr. Aberkohen as a successful and highly professional retail competitor in that field. Shufersal should be able to get better terms for purchasing toiletry products for its supermarkets and other stores, but the addition of cosmetics and pharmaceuticals seems less fitting its current line of business. It makes sense if the retailer had department stores where one of the departments would sell cosmetics, but that is not the case of Shufersal; it would probably have to operate the pharma stores separately. Undertaking the responsibility of operating pharmacies could create even greater complications that may outweigh the benefit of margins from selling OTC medications, nutrition supplements and other devices.

The deal is still awaiting approval of the antitrust supervisor by the end of August 2017. The main obstacle comprises 6-8 flagship stores that the supervisor may not allow the food retailer to have. Aberkohen has said in the interview that the acquisition of the pharma retailer would not be worth it without those stores. There could be additional restrictions due to vicinity of “Deal” stores and “My” supermarkets to some New-Pharm stores.  Aberkohen believes that the increased variety and assortment of toiletry products the company will be able to sell together with the new categories will make an important contribution to its sales potential but will also create a more balanced competitive challenge against Super-Pharm (i.e., as two equivalent retail powers) that will benefit consumers in personal care and grooming. The suppliers are concerned, however, that the bargaining power of Shufersal will become significantly, perhaps exceedingly, stronger in toiletry, and that the retailer will link the trading terms for their presence in New-Pharm stores with presence of their products in the Shufersal stores (Globes [Hebrew], 15 August 2017).

Shufersal’s CEO seems to have little regard for its follower Mega under a new ownership. Most of the chain, neighbourhood supermarkets (“Mega City”, 127 stores), was bought from a holding company (“Alon Blue Square”) in a rather bad state by a medium-sized food retailer of discount warehouse-like stores (“Bitan”) in May 2016. Other discount stores were sold and distributed among some smaller discount retail chains. Since then a few more supermarkets of Mega were apparently sold or closed. Bitan has roughly more than doubled the total number of stores in its ownership since acquiring Mega (on a scale from 70-80 to 180-190). Aberkohen argues that Bitan seems to be taking hold of the operation of Mega City but there is still much work ahead to re-organise its whole retail business. Occasional signs in the stores imply that the new owner is still grappling in effort to manage the additional supermarket chain. There will also come a time to deal with the effort and redundancy of keeping two unconnected brands of the two sub-chains of discount stores and supermarkets (“Bitan Wines” and “Mega City”, respectively).

Mr. Aberkohen has no greater regard for the other discount food retailers (the more familiar and popular of them is “Rami Levy” with 44 stores, increasing by 10 stores in the past year). In his view, Shufersal does not consider itself as opposed to Rami Levy or the other players; it is engaged in its own plans and mission with a focus on innovation. A key to success in the long-term, in his opinion, is an emphasis on managing existing (‘same’) stores and innovation, not adding more and more floor area. He thus maintains that while the competitors, particularly Bitan/Mega, are so busy handling the additional space in new stores, Shufersal will have the time it needs, as a window of opportunity, to create innovation (e.g., Internet, robotics) and gain an advantage of 3-5 years ahead.

  • So far consumers have not gained in terms of cost of shopping from the deal of selling Mega. According to Israeli business newspaper “Calcalist” there are worrying signs to the contrary. Mega under its new ownership has not been pressuring prices downwards (attributed to financial obligations of its owner Nahum Bitan), and Shufersal that had identified this weakness, took the opportunity to raise prices in its stores while gaining in bargaining power vis-à-vis its suppliers. A rise in prices (i.e., index of barcoded products) and an increase in sales revenue in the food retail sector (including non-barcoded outlets) point to a change in trend from 2014-2015.

The CEO of Shufersal is looking forward to digital transformation of retailing and shopping experiences, involving innovation both in online self-service customer-facing platforms and in the preparation and delivery of online orders. He expects great advances in the operation of logistic centres where robots and humans will take part in collating products from shelves for online orders and packing them for dispatch and delivery to customers. Three centres are in development. Enthusiastically, he proclaims that the online apparatus will involve a lot of automation, digital (features) and robotics.

Shufersal is clearly adopting the new language of data-driven marketing, Big Data, and digital automation of interactions with its customers-shoppers. The company is said to pull together to that aim its information systems, supply chain, and data pools from its customer loyalty club and club of credit card holders. This will enable it in the future to customise offers and services much better to its customers. Aberkohen talks of providing services to suppliers based on their platform of big data but he may have to think more in terms of collaboration, especially with the stronger manufacturing suppliers (i.e., sharing data on shopping patterns in exchange for support and aid in resources for analysing the data using advanced tools and methods of data science). Aberkohen believes that in the future we will see fewer stores, and smaller ones, due to transition of shoppers to online ordering and direct delivery to their homes or offices (currently online orders account for 12% of sales at Shufersal).

Moreover, the CEO is expecting a considerable expansion in ranges of products the retailer will make available to its customers via online shopping. This will include also orders from overseas (e.g., through partners in the US). He refrains from likening Shufersal to Amazon but is surely getting inspiration from the international online master. It could relate to: (a) A wide variety of products that a retailer can offer on the Internet (besides, Amazon could be getting more deeply engaged in food retailing with the recent pending acquisition of Whole Foods); (b) Employing robotics and humans in logistic centres; and (c) Advanced and dynamic analytics to customise offers to shoppers.

  • The measure of consumer-based brand equity of Globes/Nielsen is based on three key metrics: willingness to recommend, intention to buy tomorrow, and favourability. The top brand of food chain stores is Rami Levi (discount stores). This position may be credited to the personal character and initiative of Mr. Levi and his high media profile (e.g., proclaiming to fight and act for the good of consumers). Shufersal is in the second-best position in the eyes of consumers. The original brand of Bitan is ranked 7th whereas Mega City has fallen down to the ungracious 11th place (one before last).

Shufersal’s own brand currently captures about 20% of total sales. The CEO aims to increase this share to a level of 40%-50% to be in par with similar retail chains overseas. The retailer will have to walk on a thin rope when cutting down purchases of branded products from national manufacturers without ruining relations with them. Shufersal already offers milk, cheese and meat (beef) under its private label (a precedent in Israel), yet the CEO admits they still value and need their relationship with the leading national producer of these food products (Tnuva). In the past Shuferal has also had a bitter battle with another producer of dairy and other food products (Strauss). Other categories in which the retailer markets under its name include baby diapers and milk formulae; the CEO has the full intention to add more product types to this list and expand the shelf space and volume assigned to Shufersal’s own brand. The proposition according to Aberkohen is to bring quality products at value-for-money. Shufersal has taken additional strategic steps in recent years to tighten their control over the display of products in their stores: assigning their own workers to place most products on shelves in-store instead of allowing representatives of suppliers to do so, and bringing-in most products to stores independently from their logistic centres.

The CEO of Shufersal is cognizant that many consumers do not strive to shop in large discount stores that are usually located at the outskirts of cities or in industrial areas. Often enough consumers prefer convenience to lower cost. People who work long hours, including young adults early in their career, and even students, cannot afford the time or pass over the option of shopping in those stores. It may be added that for older consumers (e.g., pensioners), discount stores may simply be out of reach, especially if one does not drive. Supermarkets in shopping malls (so-called ‘anchors’) are also considered by Aberkohen as obsolete. These consumers-shoppers prefer visiting (at least during the week) a supermarket or even a convenience store in their neighbourhood — they are too pressed in time with duties or other engagements to bother about the somewhat higher cost (Mr. Aberkohen brings his own daughter as an example). Nevertheless, if the neighbourhood stores do not work out as a practical option, they will probably order online.

To top the list of the plans of Shufersal’s CEO, he sees the retailer engaged in a variety of peripheral services consumers may like to have at easy reach such as non-banking financial services (e.g., loans), insurance, travel (including holidays abroad), and optometric (eye-glasses). Some of the services are likely to be made available only online (e.g., insurance, travel), next to additional shopping options Shufersal expects to generate. Although Aberkohen does not refer specifically to the mobile channel, it is reasonable that much of what he describes in relation to an online channel is necessarily applicable these days in a mobile channel.

Shufersal’s CEO has high aspirations for the retail company he leads. Aberkohen’s plans may change not only the consumption culture in the country, as he maintains, but also the nature and character of the company itself. Hence, Shufersal’s management will have to watch carefully what areas it is about to enter and how qualified the company is to make those extensions. They will have to consider, for example, how to integrate the business areas of New-Pharm into the portfolio of Shufersal. They should not underestimate the trouble that discount retailers can cause them. Moreover, as Shufersal makes more moves to fortify its retail business, its management must act with sense and sensibility amid tensions that such moves cause, and are likely to continue to cause, with suppliers as well as consumers. The expansion and addition of products and services for the benefit of consumers is a positive venture, but Shfuersal still has to convince them as such, every day.

Ron Ventura, Ph.D. (Marketing)

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Although many people must have thought that vinyl music records are long gone, record sales have actually been rising again in the past decade. This is not just about sales of used records but also of new albums and new editions of albums from past years. Moreover, not only veteran artists return to publish a vinyl edition of their new albums but also contemporary younger artists choose to publish their albums also as vinyl records. Not to be mistaken by any illusion however about this comeback, vinyl records are not returning to be a dominant format — they are still occupying only a marginal share of the recorded music market. Nonetheless, the revival of vinyl records is conspicuous vis-à-vis the newer technologies that have taken hold in the market since the 1990s.

In fact, this revival is not really ‘news’. The sales of records nearly died out in 2006. Yet soon after they have started climbing again — 2016 was the 10th consecutive year of growth in the US and the 8th consecutive year in the UK, mostly at a double-digit rate of growth. The renewed rise of records is catching attention because it happens to be the only format whose sales are increasing while other formats (e.g., CDs and even downloads of digital albums) are in decline. In a development that has attracted attention to this phenomenon more recently, in early December of 2016 weekly sales of records (£2.4m) for the first time surpassed revenue from digital downloads (£2.1m) in the UK. In the same period of 2015 sales of records reached £1.2m compared with revenue from digital downloads that was as high as £4.4m (The Guardian, 6 December 2016). Digital downloads are not losing indeed so much to vinyl records but primarily to streaming services — downloading or streaming digital content are closer substitutes, both more distinct from vinyl.

During 2016 unit sales of vinyl albums in the UK have risen by 52% to a volume of 3.2 million LP records, a record by itself. It was not the strongest year of growth (previous two years have seen a rate of ~65%), but that rate was nonetheless respectable, and over a span of four years the sales volume quadrupled. CDs remain the dominant format for albums: over 47 million units were sold in 2016, but that was 12% lower than a year earlier. Notably, downloads of digital albums fell 30% to 18.1m in 2016. Vinyl records account for 4.7% of album sales, physical and digital; while that is a modest share, it has mounted from 2.6% in 2015 and 0.8% in 2013 vis-à-vis a decline in sales of CDs and digital albums. (Source: British Phonographic Industry association, BPI, with Official Charts Company)

  • A metric of ‘Album Equivalent Sales’ (AES) attempts to accumulate digital and physical album sales together with album-equivalent content accessed by streaming (subscription). Out of the total volume of AES, physical albums accounted in 2016 for 41%, and vinyl LPs alone accounted for just 2.6% (up from 0.7% in 2013).

In the US the year 2016 overall was relatively poor in terms of growth rate (1.8%), nearly stagnant considering that since 2009 unit sales increased annually at rates between 20% and 40%. One might question thereof if the resurgence of vinyl LPs has reached its peak already or this is no more than a temporary halt. The better way to see this is to realise that after all the sales volume of vinyl album records has risen from a bottom level of about one million units in 2005-2006 to a level of 17 million units in 2015-2016, rising without a break throughout this period. (Source: Recording Industry Association of America, RIAA).

Even today CDs in the US (as in Britain) remain the more frequent album format purchased by consumers (99m in 2016), more than digital albums downloaded (86m). The sales volume of CDs was actually greater than digital albums all the time since the latter entered the market in 2004. However, CDs are no longer the strong force they used to be, far from it — in the late 1990s-early 2000s they reached levels around 900m, slide down to about 250m by 2010, and came below 100m last year. Yet, sales of digital albums (by downloading) that followed CDs got only as high as 116-118m (2012-2014) and are already coming down as well. Vinyl records constitute 15% of physical albums (up from 2% in 2011). Against this background the resurgence of vinyl record albums is at the very least intriguing.

The following chart shows the shifts between three main physical formats of albums followed by the digital format, based on the statistics of RIAA.

Vinyl LPs return as a small niche; since it constitutes less than 5% of the ‘album market’ it is difficult to discern the revival of vinyl records in the chart above (on the right-end). The next chart shows more clearly the new build-up of sales of vinyl after a long ‘silent’ period.

  • To maintain a common basis for comparison, ‘single’ editions in vinyl, CDs, cassettes and digital downloads are not listed here. Other formats covered by the RIAA include music video, DVD audio, download music video, and ringtones; notwithstanding, streaming (represented in ‘paid subscription’) is also omitted here (see detailed chart of RIAA).

Somehow it seems that digital albums never managed to replace the physical formats as in their primes. First, when it comes to downloads, it could be misleading to focus on albums because the major activity is in ‘single’ tracks. Unlike in the physical formats, downloads of ‘singles’ contributed from start much greater a volume than albums. Second, music listeners relatively quickly moved to on-demand streaming services, paid or free (e.g., Apple, Spotify — we can add to this video music clips viewed on YouTube). At the peak of digital albums four years ago (2013), 32.6m albums were downloaded in the UK — now listeners prefer to rely on streaming services (BBC, 3 Jan. 2017). The free services generate their revenue from advertising. Whether by downloading purchased tracks or by streaming, music listeners reveal stronger preference to create their own compilations or play-lists of songs (especially if one has grown up into the age of the Internet and mobile).

  • Notice the differences in the lists of artists leading the charts of 2016 in the UK in sales of vinyl albums (Top 10), most streamed artists, and combined sales and streams of albums (Top 10)(go to BBC).

The statistics of Nielsen Music for the US are somewhat different from RIAA though they indicate similar patterns. As reported by music magazine Billboard, 13.1m album units were sold in 2016 in vinyl format (making 11% of physical albums). Vinyl sales grew by as much as 10% over 2015 though at a lower rate than in previous years. It is also shown that CD album purchases are leading (104.8m) even compared with digital downloads (82.2m). However, the drop in sales of physical albums overall (-14%) is attributed to CDs alone (-16%). A press release by Nielsen Music suggests that listening to music through on-demand streams (audio & video) increases at the expense of digital sales.

Patrons of music stores in recent years could not ignore the re-appearance and spreading of larger displays of vinyl records — they became once again an integral part of the scene in store. This has emerged particularly as the domain of independent music stores following the demise or downscaling of large music and entertainment retail chains (e.g., Virgin Mega Store and Tower Records on the one hand and HMV on the other). While music fans started to return to independent stores, that was not enough for keeping-up their business. In 2008 American independent stores initiated the Record Store Day, celebrated on the third Saturday of April, to encourage music fans to visit and buy in their music stores; they accompanied this special day with new and renewed album special editions. Over the years the UK, Europe and more countries elsewhere have joined-in. The record store day has done miracles for reviving vinyl records: it helped to broaden the audiences interested in them and boosting their sales to new highs (Fortune, 16 April 2016). Records can now be found on sale in a larger variety of chain stores and are also purchased more frequently from online retail platforms. Vinyl records owe much to the independent retailers for their revival, but of course multiple parties benefit — producers, retailers, artists and consumers.

The segment first to be drawn by the comeback of vinyl records were music listeners in their 50s and 60s who have known records so well from their youth years. However, they are expanding from devout music fans of genres such as rock, pop, punk and electronic (‘New Wave’) into a wider audience of listeners (Baby Boomers and X-generation) with a feel for LP records.

Parents acquaint their children with this ‘old’ format and come with them to the store on record store days. People also return to buy record editions of albums they used to have but dumped them because they thought they were obsolete and will not be possible to play. Some buy them just for nostalgia or as collector items and may not actually listen to them. Yet BPI reports in its blog that over 300,000 new turntables were purchased in the UK in 2016, an increase of more than 60% — so more music listeners who return to vinyl do listen to the records again. Furthermore, Millennials show increased interest in vinyl records (Forbes, 12 January 2017), joining the original listeners to records.

On the latest record store day in Israel, an interesting mix of patrons was encountered at “The Third Ear”, one of the independent record stores in Tel-Aviv. As one might expect, there were mostly shoppers in their 40s+, but there was also a group of young guys who must have been in their early 20s at most. The latter were not browsing just CDs but gathered for a while at a display of records. Indeed, shoppers differed in genres and periods of albums they were browsing — whereas older shoppers were seen largely looking into albums of previous decades or newer albums of veteran performers, the youngest group focused on a collection of more contemporary music styles. Nevertheless, everyone seemed very busy, and more than a few appeared to know well what kinds of albums they were looking for. In an interview to business newspaper TheMarker, an owner of “The Third Ear” commented that in the past few years at least fifty new vinyl albums were issued in Israel — no one thinks that it is a great business, but things accumulate and it has built a mass not so bad (TheMarker, Hebrew, 26 October 2016). No vinyl records were pressed in Israel for twenty years, until about four years ago. A music store like this one can succeed by selling also CDs, music and film DVDs, and even turntables.

Vinyl records represent something different to music listeners from later formats of digital technology. From the early days of CDs there has been an argument about differences in the quality of sound between media formats and which has become even more intense with the transition to ‘file’ formats (e.g., MP3). In addition, the black records also feel differently as a physical medium — they signify tangible music, even better than CDs. Perceived similarities and dissimilarities are playing in shaping relations of substitution and preferences — analogue vs. digital and physical vs. virtual.

Proponents of vinyl records seek them for warmth and depth in the sound of music. It is widely accepted that the digital sound is cleaner than on records. But the sound on records is perceived more natural and authentic, even though a track may include blips and hisses once in a while. Note that misses can happen also on CDs, and if a digital file is damaged the whole track is often lost. Vinyl fans also prefer the records as souvenirs or artworks (including covers and booklets)(BBC). They may further carry an appeal of fidelity, romanticism and the ritualistic nature of the experience (Forbes). That is, records are carrying a sentiment missing from later formats. Another aspect not to be neglected is the ritual act that accompanies playing records — lifting the record carefully, wiping the dust, and putting it gently on the turntable before bringing the needle arm closer to the record and sitting to listen. Whether this a nuisance or a matter of bonding through touch with the music medium is a completely subjective matter. Yet, this bonding seems to have worked better with vinyl records than with metallic CDs. It is completely absent with virtual digital files.

Audio tape cassettes indeed are left forgotten. A great advantage of the cassettes was the ease of carrying them around and being able to hear music away from home on portable devices (e.g., Sony’s Walkman and compatibles) or in the car. They had, however, several technical flaws of working with a magnetic tape. It was a perfect fill-in that was just bound to fade away with the introduction of CDs and later portable media players (e.g., Apple’s iPod) for ease of handling and quality of sound.

As a digital medium, the CD could be more fluently substituted by virtual digital formats, files that can be downloaded from the Internet or listened to (and viewed) by streaming, as opposed to vinyl records. Nonetheless, streaming may actually contribute to purchases of physical albums in stores, particularly vinyl records. Music listeners search songs or other music pieces in streaming services, experiment with and experience them, get ideas, and after learning what they like look for the ‘original’ record album in a music store. Moreover, especially the younger listeners tend to continue their enquires online on their mobile smartphones while in the store. For senior fans, a shop owner in Brooklyn commented, it lacks some of the adventure and surprise of the old-fashioned shopping style for music (CNBC, 17 April 2017). Even so, adaptive changes in shopping styles can be tolerated if they happily lead to buying albums in music stores or shops. In the bottom line, it is acknowledged that vinyl records are desired for their tangible feel but with a warm sound, imperfect as it may be — “it’s highly personal” (CNBC).

Vinyl record fans emerge as a niche of music listeners. It is legitimate to question whether the rate of growth of record sales over ten years is sufficient for developing into a substantial and solid market segment. On the other hand, the way record sales have mounted is extraordinary given the conditions of technological evolution and competition in the music market. Vinyl records offer genuinely different, missed qualities of tangible feel and pleasure of listening to those who appreciate them. More marketing effort will be required to fuel continued growth — building on qualities of vinyl that make it special and encouraging more music listeners to join the niche (e.g., events, new and renewed editions, advertising in streaming services, and prompting more word-of-mouth and conversations in social media). Expansion of the vinyl niche can additionally benefit other sections of the recorded music market.

Ron Ventura, Ph.D. (Marketing)

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A shopper may well know what types of products he or she is planning to buy in a store, but what products the shopper will come out with is much less sure. Frequently there will be some additional unplanned products in the shopper’s basket. This observation is more often demonstrated in the case of grocery shopping in supermarkets, but it is likely to hold true also in other types of stores, especially large ones like department stores, fashion stores, and DIY or home improvement stores.

There can be a number of reasons or triggers for shoppers to consider additional products to purchase during the shopping trip itself — products forgotten and reminded of by cues that arise while shopping, attractiveness of visual appearance of product display (‘visual lift’), promotions posted on tags at the product display (‘point-of-purchase’) or in hand-out flyers, and more. The phenomenon of unplanned purchases is very familiar, and the study of it is not new. However, the behaviour of shoppers during their store visit that leads to this outcome, especially the consideration of product categories in an unplanned manner, is not understood well enough. The relatively new methodology of video tracking with a head-mounted small camera shows promise in gaining better understanding of shopper behaviour during the shopping trip; a research article by Hui, Huang, Suher and Inman (2013) is paving the way with a valuable contribution, particularly in shedding light on the relations between planned and unplanned considerations in a supermarket, and the factors that may drive conversion of the latter into purchases (1).

Shopper marketing is an evolving specialisation which gains increasing attention in  marketing and retailing. It concerns activities of consumers performed in a ‘shopper mode’ and is strongly connected with or contained within consumer marketing. Innovations in this sub-field by retailers and manufacturers span digital activities, multichannel marketing, store atmospherics and design, in-store merchandising, shopper marketing metrics and organisation. However, carrying out more effective and successful shopper marketing programmes requires closer collaboration between manufacturers and retailers — more openness to each party’s perspective and priorities (e.g., in interpretation of shopper insights), sharing information and coordination (2).

In-Store Video Tracking allows researchers to observe the shopping trip as it proceeds from the viewpoint of the shopper, literally. The strength of this methodology is in capturing the dynamics of shopping (e.g., with regard to in-store drivers of unplanned purchases). Unlike other approaches (e.g., RFID, product scanners), the video tracking method enables tracking acts of consideration, whether followed or not by purchase (i.e., putting a product item in the shopping cart).

For video tracking, a shopper is asked to wear, with the help of an experimenter, a headset belt that contains the portable video equipment, including a small video camera, a view/record unit, and a battery pack. It is worn like a Bluetooth headset. In addition, the equipment used by Hui et al. included an RFID transmitter that allows to trace the location of the shopper throughout his or her shopping path in a supermarket.

Like any research methodology, video tracking has its strengths and advantages versus its weaknesses and limitations. With the camera it is possible to capture the shopper’s field of vision during a shopping trip; the resulting video is stored in the view/record unit. However, without an eye-tracking (infrared) device, the camera may not point accurately to the positions of products considered (by eye fixation) in the field of vision. Yet, the video supports at least approximate inferences when a product is touched or moved, or the head-body posture and gesture suggest from which display a shopper considers products (i.e., the ‘frame’ closes-in on a section of the display). It is further noted that difficulties in calibrating an eye-tracking device in motion may impair the accuracy of locating fixations. The video camera seems sufficient and effective for identifying product categories as targets of consideration and purchase.

Furthermore, contrary to video filmed from cameras hanging from the ceiling in a store, the head-mounted camera records the scene at eye-level and not from high above, enabling to better notice what the shopper is doing (e.g., in aisles), and it follows the shopper all the way, not just in selected sections of the store. Additionally, using a head-mounted camera is more ethical than relying on surrounding cameras (often CCTV security cameras). On the other hand, head-mounted devices (e.g., camera, eye-tracking), which are not the most natural to wear whilst shopping, raise concerns of sampling bias (self-selection) and possibly causing change in the behaviour of the shopper; proponents argue that shoppers quickly forget of the device (devices are now made lighter) as they engage in shopping, but the issue is still in debate.

Video tracking is advantageous to RFID  and product scanners for the study of unplanned purchase behaviour by capturing acts of consideration: the RFID method alone (3) enables to trace the path of the shopper but not what one does in front of the shelf or stand display, and a scanner method allows to record what products are purchased but not which are considered. The advantage of the combined video + RFID approach according to Hui and his colleagues is in providing them “not only the shopping path but also the changes in the shoppers’ visual field as he or she walks around the store” (p. 449).

The complete research design included two interviews conducted with each shopper-participant — before the shopping trip, as a shopper enters the store, and after, on the way out. In the initial interview, shoppers were asked in which product categories they were planning to buy (aided by a list to choose from), as well as other shopping aspects (e.g., total budget, whether they brought their own shopping list). At the exit the shoppers were asked about personal characteristics, and the experimenters collected a copy of the receipt from the retailer’s transaction log. The information collected was essential for two aspects in particular: (a) distinguishing between planned and unplanned considerations; and (b) estimating the amount of money remaining for the shopper to make unplanned purchases out of the total budget (‘in-store slack’ metric).

237 participants were included in analyses. Overall, shoppers-participants planned to purchase from approximately 5.5 categories; they considered on average 13 categories in total, of which fewer than 5 were planned considerations (median 5.6). 37% of the participants carried a list prepared in advance.

Characteristics influencing unplanned consideration:  The researchers sought first to identify personal and product characteristics that significantly influence the probability of making an unplanned consideration in each given product category (a latent utility likelihood model was constructed). Consequently, they could infer which characteristics contribute to considering more categories in an unplanned manner. The model showed, for instance, that shoppers older in age and female shoppers are likely to engage in unplanned consideration in a greater number of product categories. Inversely, shoppers who are more familiar with a store (layout and location of products) and those carrying a shopping list tend to consider fewer product categories in an unplanned manner.

At a product level, a higher hedonic score for a product category is positively associated with greater incidence of unplanned consideration of it. Products that are promoted in the weekly flyer of the store at the time of a shopper’s visit are also more likely to receive an unplanned consideration from the shopper. Hui et al. further revealed effects of complementarity relations: products that were not planned beforehand for purchase (B) but are closer complementary of products in a ‘planned basket’ of shoppers (A) gain a greater likelihood of being considered in an unplanned manner (‘A –> B lift’).  [The researchers present a two-dimensional map detailing what products are more proximate and thus more likely to get paired together, not dependent yet on purchase of them].

Differences in behaviour between planned and unplanned considerations: Unplanned considerations tend to be made more haphazardly — while standing farther from display shelves and involving fewer product touches; conversely, planned considerations entail greater ‘depth’. Unplanned considerations tend to occur a little later in the shopping trip (the gap in timing is not very convincing). An unplanned consideration is less likely to entail reference to a shopping list — the list serves in “keeping the shopper on task”, being less prone to divert to unplanned consideration. Shoppers during an unplanned consideration are also less likely to refer to discount coupons or to in-store flyers/circulars. However, interestingly, some of the patterns found in this analysis change as an unplanned consideration turns into a purchase.

Importantly, in the outcome unplanned considerations are less likely to conclude with a purchase (63%) than planned considerations (83%). This raises the question, what can make an unplanned consideration result in purchase conversion?

Drivers of purchase conversion of unplanned considerations: Firstly, unplanned considerations that result in a purchase take longer (40 seconds on average) than those that do not (24 seconds). Secondly, shoppers get closer to the shelves and touch more product items before concluding with a purchase; the greater ‘depth’ of the process towards unplanned purchase is characterised by viewing fewer product displays (‘facings’) within the category — the shopper is concentrating on fewer alternatives yet examines those selected more carefully (e.g., by picking them up for a closer read). Another conspicuous finding is that shoppers are more likely to refer to a shopping list during an unplanned consideration that is going to result in a purchase — a plausible explanation is that the shopping list may help the shopper to seek whether an unplanned product complements a product on the list.

The researchers employed another (latent utility) model to investigate more systemically the drivers likely to lead unplanned considerations to result in a purchase. The model supported, for example, that purchase conversion is more likely in categories of  higher hedonic products. It corroborated the notions about ‘depth’ of consideration as a driver to purchase and the role of a shopping list in realising complementary unplanned products as supplements to the ‘planned basket’. It is also shown that interacting with a service staff for assistance increases the likelihood of concluding with a purchase.

  • Location in the store matters: An aisle is relatively a more likely place for an unplanned consideration to occur, and subsequently has a better chance when it happens to result in a purchase. The authors recommend assigning service staff to be present near aisles.

Complementarity relations were analysed once again, this time in the context of unplanned purchases. The analysis, as visualised in a new map, indicates that proximity between planned and unplanned categories enhances the likelihood of an unplanned purchase: if a shopper plans to purchase in category A, then the closer category B is to A, the more likely is the shopper to purchase in category B given it is considered. Hui et al. note that distances in the maps for considerations and for purchase conversion of unplanned considerations are not correlated, implying hence that the unplanned consideration and a purchase decision are two different dimensions in the decision process. This is a salient result because it distinguishes between engaging in consideration and the decision itself. The researchers caution, however, that in some cases the distinction between consideration and a choice decision may be false and inappropriate because they may happen rapidly in a single step.

  • The latent distances in the maps are also uncorrelated with physical distances between products in the supermarket (i.e., the complementarity relations are mental).

The research shows that while promotion (coupons or in-store flyers) for an unplanned product has a significant effect in increasing the probability of its consideration, it does not contribute to probability of its purchase. This evidence furthermore points to a separation between consideration and a decision. The authors suggest that a promotion may attract shoppers to consider a product, but they are mostly uninterested to buy and hence it has no further effect on their point-of-purchase behaviour. The researchers suggest that retailers can apply their model of complementarity to proactively invoke consideration by triggering a real-time promotion on a mobile shopping app for products associated with those on a digital list of the shopper “so a small coupon can nudge this consideration into a purchase”.

But there are some reservations to be made about the findings regarding promotions. An available promotion can increase the probability of a product to be considered in an unplanned manner, yet shoppers are less likely to look at their coupons or flyers at the relevant moment. Inversely, the existence of a promotion does not contribute to purchase conversion of an unplanned consideration but shoppers are more likely to refer to their coupons or flyers during unplanned considerations that result in a purchase.  A plausible explanation to resolve this apparent inconsistency is that reference to a promotional coupon or flyer is more concrete from a shopper viewpoint than the mere availability of a promotion; shoppers may not be aware of some of the promotions the researchers account for. In the article, the researchers do not address directly promotional information that appears on tags at the product display — such promotions may affect shoppers differently from flyers or distributed coupons (paper or digital via mobile app), because tags are more readily visible at the point-of-purchase.

One of the dynamic factors examined by Hui et al. is the ‘in-store slack’, the mental budget reserved for unplanned purchases. Reserving a larger slack increases the likelihood of unplanned considerations. Furthermore, at the moment of truth, the larger is the in-store slack that remains at the time of an unplanned consideration, the more likely is the shopper to take a product from the display to purchase. However, computations used in the analyses of dynamic changes in each shopper’s in-store slack appear to assume that shoppers estimate how much they already spent on planned products in various moments of the trip and are aware of their budget, an assumption not very realistic. The approach in the research is very clever, and yet consumers may not be so sophisticated: they may exceed their in-store slack, possibly because they are not very good in keeping their budget (e.g., exacerbated by use of credit cards) or in making arithmetic computations fluently.

Finally, shoppers could be subject to a dynamic trade-off between their self-control and the in-store slack. As the shopping trip progresses and the remaining in-store slack is expected to shrink, the shopper becomes less likely to allow an unplanned purchase, but he or she may become more likely to be tempted to consider and buy in an unplanned manner, because the strength of one’s self-control is depleted following active decision-making. In addition, a shopper who avoided making a purchase on the last occasion of unplanned consideration is more likely to purchase a product in the next unplanned occasion — this negative “momentum” effect means that following an initial effort at self-control, subsequent attempts are more likely to fail as a result of depletion of the strength of self-control.

The research of Hui, Huang, Suher and Inman offers multiple insights for retailers as well as manufacturers to take notice of, and much more material for thought and additional study and planning. The video tracking approach reveals patterns and drivers of shopper behaviour in unplanned considerations and how they relate to planned considerations.  The methodology is not without limitations; viewing and coding the video clips is notably time-consuming. Nevertheless, this research is bringing us a step forward towards better understanding and knowledge to act upon.

Ron Ventura, Ph.D. (Marketing)


(1) Deconstructing the “First Moment of Truth”: Understanding Unplanned Consideration and Purchase Conversion Using In-Store Video Tracking; Sam K. Hui, Yanliu Huang, Jacob Suher, & J. Jeffrey Inman, 2013; Journal of Marketing Research, 50 (August), pp. 445-462.

(2) Innovations in Shopper Marketing: Current Insights and Future Research Issues; Venkatesh Shankar, J. Jeffrey Inman, Murali Mantrala, & Eileen Kelley, 2011; Journal of Retailing, 87S (1), pp. S29-S42.

(3) See other research on path data modelling and analysis in marketing and retailing by Hui with Peter Fader and Eric Bradlow (2009).

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