The widespread popularity of online shopping in current times has undoubtedly enhanced the efficiency of the entire buying process. It has also posed to digital marketers the threat of losing to competition. This is why the marketers keep on trying novel tactics to fascinate new customers as well as retain the existing ones. One of the many tactics includes encouraging customers to buy impulsively (Foroughi et al., 2013). This phenomenon can be better explained through Hawkins Stern’s impulse buying theory (1962). This theory offers valuable insight into different circumstances under which the consumers are likely to indulge in impulse buying.
Hawkins Stern’s impulsive buying theory
The theory got its name from the proposer, Hawkins Stern who had put this forward in 1962. The theory offered a fresh perspective on consumers’ buying behaviour as most of the contemporary consumer behaviour theories like Maslow’s Need Hierarchy Theory of Motivation (1943) and Engel, Kollat and Blackwell (1968) which believed that consumers always make rational and well-planned buying decisions (Dutta and Mandal, 2018). Stern argued such perspective and proclaimed that consumers indulge in impulsive buying behaviours under the influence of external forces. The theory argued that marketers can convince consumers to buy more than what they had actually planned (Dutta and Mandal, 2018). The same has been confirmed under a recent survey conducted in the context of American consumers claiming that 80% of respondents buy on spur-of-the-moment while shopping online (Johnson, 2018). The digital marketers are skillfully blending technology with their marketing goals to encourage impulse buying by the target audience (Carter, 2018).
For example, the world’s leading retailer Amazon.com recently introduced virtual dash buttons to facilitate impulse buying in online shopping. Based upon the history of a customer’s purchases, these dash buttons act as the reminder for the Amazon’s patrons. This ensures the buyer that they are not missing to buy something from their usual buying list. By providing enhanced ease in buying, the company has well targeted impulse buyers through these dash buttons (Richman, 2017).
An important contribution of Hawkins Stern’s model is the categorization of impulse buying behaviour (Shapiro, 2015). The model suggests four kinds of impulse buying.
Pure impulse buying
This includes buying purely on the basis of impulse hence usually the customers end up buying something which is not a routine item in their shopping list. It is also known as ‘escape purchase’. It breaks the normal pattern of purchasing. Visuals play an integral role in pure impulse buying (Dutta and Mandal, 2018). It highly appeals to the emotion of the buyer of novelty products. Such purchases generally include items which are new for the customer and attract him visually. While consumers end up overspending but the marketers earn higher revenues.
For example, buying a new dress or kids toy while shopping for the diapers at Hopscotch.com because of unique design that attracted the attention of the buyer.
Reminder impulse buying
Such kind of impulse buying happens in the cases where a buyer has prior knowledge or experience of the product but had no intention to buy it (Piron, 1991). It highly appeals to the buyers of fashion merchandise.
For example, buying a packet of breakfast cereal or hand sanitizer on Walmart’s site when it was not in the shopping list but because of a promotional offer.
The products that ‘go with’ the consumer’s primary shopping items also fall under this category like purchasing nail paint or earrings while buying a dress from an e-retailer.
Suggested impulse buying
Suggested impulse buying occurs in case of products usually being seen by the customer for the first time and develops an impulse to buy it (Stern, 1962; Dutta and Mandal, 2018).
For example, a buyer of baby bottle cleaning liquid on Amazon.com is suggested against a regular detergent on the portal depending on historical purchase of baby products.
While in brick-and-mortar, such kind of buying generally happens through the endeavours of a salesperson.
Planned impulse buying
This kind of impulse buying occurs when the customer has the need for a product but is not sure about its specifications. Generally, a lower price or other kinds of sales promotion techniques lead to planned impulse buying (Stern, 1962).
For example, when Costco.com offered “one plus one free” on certain grocery items, the customers are likely to buy impulsively more than they actually need. So, the customer did have a need but he ended up buying more than needed because of the offer.
Price as a factor that triggers impulse buying behaviour
Marketers make use of several strategies in order to trigger impulse buying behaviour among consumers. The pricing decision, according to Stern, is the most important trigger of an impulse buying decision. This is because it makes the consumer spend than they originally planned. However, it is may not be applicable for expensive items such as automobiles. It is most common in products which have a low shelf life, marginal need for the consumer, smaller size and ease of storage.
For example, discounts on food can trigger impulse purchases among students and low income group individuals (Duarte, Raposo and Ferraz, 2013).
Marginal need for an item with
short shelf life triggers impulse buying
Items that perish quickly or have a short shelf life need to be purchased frequently by consumers. Since consumers have to purchase it repeatedly, they spend less time in planning to buy it and hence purchase them when they encounter them (Stern, 1962). This refers to the degree of need for an item. Many convenience goods such as daily staples, milk, bread and sugar for which regular purchases are made. However, some items are non-convenience goods and hence there is a marginal need for them. The consumer postpones purchasing these items until there is a greater degree of need for it, hence these purchases are likely to be less planned and more impulsive (Chhabra, 2010).
Mass distribution and self-service
The more places a product is available, the more chances the customer will buy it. Since impulse buying is not planned, marketers make the product available at multiple locations so that there are more chances of a customer buying it (Stern, 1962).
Self-service option gives the customer the opportunity to freely explore their options and buy more quickly. Since there are many products readily available for the consumer, they are more likely to buy products impulsively. Hence marketers prefer to make their product available more at self-service locations (Iyer and Ahlawat, 1987).
Prominent store display and advertisements trigger impulse buying
As impulse buying decisions are not planned, increased visibility of items increases their sale impulsively. This positioning includes shelf location, distinctive packaging and in-store promotions (Mohan, Sivakumaran and Sharma, 2013).
Impulse buying behaviour types such as planned and reminder buying are highly dependent on the level of consumer knowledge. This knowledge comes from either prior experience with the product or advertising. Hence, marketers often indulge in mass advertising to give repeated reminders to customers and trigger impulse buying decisions (Hulte and Vanyushyn, 2011).
Ease of storage
Items which can be stored easily without any special requirements are more likely to be purchased impulsively. The size and weight of a product have a deep impact on a consumer’s decision to purchase an item impulsively. The problem of heavyweight or big size requires a buyer to make special arrangements such as transportation. This can result in reducing the chances of buying it impulsively(Stern, 1962).
Relevancy of Stern’s dimensions in online shopping
At the time Stern had proposed these factors, online shopping was not as popular as it is today. Most of these factors identified by Stern were in the context of the brick-and-mortar stores. Stern asserts that ease of buying, i.e. product availability will likely increase the chances of impulsive buying decisions and is very relevant in online shopping.
However, consumer characteristics have undergone a revolutionary change over the years. This includes changes in demographics, spending patterns, purchasing capacity, a shift from lifestyles-based to experience-based consumption, and an increase in their overall participation in buying decisions. Therefore, several new dimensions have emerged in Stern’s initial model. This includes website quality (security, navigability, visual appeal), payment options, virtual atmosphere, product variety, network availability, browsing behaviour, and online reviews, among others (Octavia, 2015; Zou, 2016; Kem et al., 2018).
In present times, most of the digital marketers are targetting consumers to rely not always on their intellect but also on their impulse. Among the four categories of impulse buying behaviours listed out by Stern, a blend of all can be planned while designing a marketing strategy.
- Carter, S. (2018) 80% of younger shoppers make impulse purchases online—here’s how sites trick you into spending, CNBC Make It.
- Chhabra, D. (2010) Sustainable Marketing of Cultural and Heritage Tourism. New York: Routledge.
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- Mohan, G., Sivakumaran, B. and Sharma, P. (2013) ‘Impact of store environment on impulse buying behavior’, European Journal of Marketing, 47(10), pp. 1711–1732.
- Octavia, D. (2015) ‘The Differences of Online and In-store Impulse Buying Behavior using Stimulus and Response Model.’, in 3rd International Seminar and Conference on Learning Organization. Bandung.
- Piron, F. (1991) ‘Defining Impulse Purchasing’, Association for Consumer Research, NA-18, pp. 509–514.
- Richman, D. (2017) Amazon launches virtual Dash buttons to encourage impulse buying on website and mobile apps, GeekWire.
- Shapiro, J. M. (2015) ‘Impulse Buying: A New Framework’, in Developments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham, pp. 76–80. doi: 10.1007/978-3-319-13248-8_16.
- Stern, H. (1962) ‘The Significance of Impulse Buying Today’, Journal of Marketing, 26(2), pp. 59–62. doi: 10.1177/002224296202600212.
- Zou, T. (2016) ‘Online Impulse Buying Behavior amongst Undergraduate Students in Tianjin, The People’s Republic of China’, Global Journal of Emerging Trends in e-Business, Marketing and Consumer Psychology, 2(2), pp. 406–423.
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