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Written by: Havana Yarasuri
Cash transactions play a dominant role in the lives of millions of people around the world: Cash is the leading payment instrument for day-to-day purchases such as groceries, petrol, and in some cases, even real estate.
For Khin San, a small farmer from Myanmar, cash is central to her livelihood. She often travels with large amounts of cash and uses an unregulated network of brokers to buy fertilizers and seeds for her crops. Khin San’s case is not unique. Cash accounts for roughly 80%, or 1.4 trillion, of consumer transactions around the world per year. Indeed, every person makes at least one or two cash-based transactions daily.
The inefficiencies associated with cash usage are substantial. Governments must grapple with the loss of tax revenues to the “underground economy,” as well as the underserved population’s lack of access to basic financial services. Cash is both expensive to protect and difficult to monitor as the unbanked attempt to track balances and expenses in real-time. These inefficiencies are inspiring fintech companies to “disrupt cash,” leveraging upon increased smartphone adoption and mobile broadband availability to disintermediate cash, with a strong nod of approval from governments worldwide.
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The opportunity for fintech companies is both obvious and nuanced. Roughly 80% of the VOLUME of retail transactions around the world could be digitized but have not been yet. At the same time, two thirds of the dollar VALUE of transactions already has been digitized. On a dollar-value basis, “cash disruption” already has crossed the chasm, as shown below. In developed markets, in particular, the incentives for merchants to accept credit cards and other digital payment instrument includes convenience, loyalty and rewards, and “payment coupling”.
The difference between the value and volume of digitized transactions is roughly 65%, primarily because the value of the transactions that have yet to be digitized is quite small. In the US, for example, the value of digitized transactions averages $121 while the value of cash transactions averages $21, or one-sixth of the value, as shown below. In developing markets, the difference is much bigger.
As a result, the next leg of growth in the digitization of the payments space will turn the typical business model upside down. Payment service providers (PSPs) typically rely upon transaction fees that scale with the total dollar-volume of payments facilitated. The winners in the next stage of digitization, however, will be companies that accrue value on a per-transaction-basis, independent of the dollar volume transmitted. That model will have to be data- or information-driven, as shown below.
Every transaction, no matter the size, can provide data on who has purchased what and where. When digitized, this information can be used for customer relation management to target new customers with products and services and to assess their credit worthiness. The value of the data is somewhat insensitive to the dollar volume of the transaction, as shown above. Social payment platforms like Venmo, which provide transaction-fee-free transfers, are a good case in point. Venmo’s social feed, including the emojis and messages that customers append to their transfers, is rich with data that allows companies like Nike and Dominos to offer individualized marketing and reward programs.
Given the tens of billions of cash transactions occurring daily around the world, companies and financial institutions have little or no insight into a large and increasingly important swath of their customers. To capitalize on this opportunity the traditional payments model will have to give way to change, especially given the proliferation of smartphones, increasingly with biometric features to secure exchanges of value. A new breed of company, exploiting a differentiated business model is beginning to facilitate and surface the data around those transactions. PayPalPYPL, TencentTCEHY, AlipayBABA, Paygo MELI, FacebookFB, AppleAAPL, Safaricom, and AmazonAMZN seem to be leading the charge.