So, what is convenience then exactly? Academic research by Len Berry and colleagues in the Journal of Marketing suggests that there are five different levels of convenience[1].
4# BENEFIT CONVENIENCEFourth is benefit convenience or the time and effort needed to consume the product. Consumers today are looking for simple and efficient consumption experiences, allowing them to make the best of their time. The popular navigation app Waze, owned by Google, offers its users such a simple and intuitive user interface, providing highly contextual information like traffic, obstructions and other hazards to minimize travel time. In 2016, Waze partnered up with Dunkin’ Donuts, a U.S. coffeehouse chain, and integrated an ‘Order Ahead’ function. Wazers, as Waze calls its user base, may order coffee within the app and speed past the line when picking up their order inside a DD restaurant.
5# POSTBENEFIT CONVENIENCEFinally comes postbenefit convenience or the time and effort needed to deal with such factors as product maintenance, exchange or failure recovery. One example here is Tesla’s mobile service teams allowing cars to be serviced when and where customers are in need. More recently, the U.S. carmaker introduced an automated service feature allowing Tesla cars to order parts that require replacement on their own. Doing so, Tesla reduces the time needed for car maintenance and proactively prevents any failures.
PUSHING THE CONVENIENCE BARTo successfully interact with today’s hyper-connected and impatient consumers, marketers should be obsessed with delivering ‘fast’ and ‘easy’ solutions to customers. But how?
Regular audits to understand improvement points along the entire customer journey are recommended. A strong customer mindset should be driven by questions like What is it that customers are looking for? How can we further enhance/simplify the customer experience? What levels of convenience matter most? A deep understanding of customers based on solid metrics and a thirst to experiment in search for better customer solutions are key to any organization seeking success. Netflix is well-known for its continuous use of A/B-testing to optimize the platform’s interface. Any major change to the Netflix experience is preceded by extensive testing. Nothing is left to chance.
Artificially intelligent technologies now allow for cost-effective real-time service delivery, 24/7. Despite clear limitations still there, the growing occurrence of chatbots, personal (voice) assistants and humanoids at the service frontline is rapidly making real-time service delivery a minimum requirement to compete on the market[1]. It is imperative for any organization to look into this exciting new world of possibilities and to see where technology can be used to enhance the customer experience. KLM, the Dutch airline, is fueling its customer service with AI to automate over half of all inquiries through Facebook, Messenger, Twitter and WhatsApp. The result? A doubling of its case volume and service agents freeing up time to focus on cases requiring a human approach.
While some marketers would argue this thinking does not apply to their industry, nothing could be more wrong. Take the example of Lemonade. The U.S. insurance platform is rapidly transforming a seemingly rock-solid industry. Their approach? The promise of a zero paperwork and instant everything. Lemonade uses AI to sign up customers and to evaluate claims, boasting it takes a maximum of 3 minutes from approval to payout. The result? A four-year-old startup valued at $2bn.
It is clear, no organization is free from the push toward higher convenience. Time to become ‘fast’ and ‘easy’! The Uber’s and Amazon’s of this planet won’t wait for you to catch up.
Arne De Keyser, Assistant Professor - Marketing, EDHEC Business School.
Sources:
[1] Berry, Leonard L., Kathleen Seider and Dhruv Grewal (2002), “Understanding Service Convenience,” Journal of Marketing, 66 (July), 1-17.
[2] De Keyser, Arne, Sarah Köcher, Linda Alkire (Née Nasr), Cédric Verbeeck and Jay Kandampully (2019), “Frontline Service Technology Infusion: Conceptual Archetypes and Future Research Directions,” Journal of Service Management, 30(1), 156-183.