Pricing and Competition: The Signal from the Spread

The first three layers covered the basics of a corridor: its size, who moves the money, and the direction of demand. The deeper business question now is whether there is any money to be made by operating in this corridor. This layer covers whether there is a profit margin to be made, or whether competition has already priced the corridor down.

The simplistic way, which does not help, is to look at the average. Looking at the average is almost useless. What matters is how the different players are priced: what is the gap between the most expensive provider and the cheapest? How are they pricing fixed versus variable? Two corridors might have the same average, but these underlying details can make their pricing read completely different.

What this layer contains

The pricing layer shows the rates providers charge, benchmarked against the mid-market rate. The total cost on a representative transfer for each provider is split between the FX spread (in basis points) and any fixed fee charged. It also captures the competitive read. How many operators are present? Who are they? How does the split between legacy players and new-age fintechs look? In addition, you gauge community sentiment by looking at app ratings in the period and how customers talk about them on social media.

There are many variables to consider, but the most useful is the spread gap: the difference between the cheapest and most expensive provider. Comparing this gap to how it ranks with other corridors provides meaningful insight about the room available for any new entrant.

How to read it

There are three important things to look for here. The first is the spread. A wide spread between the cheapest and the most expensive provider indicates that the corridor is inefficient, or that the market has not yet competed the price down. Some players are overcharging, and there is room to enter and compete on price. On the other hand, a narrow, uniform spread indicates that competition has already done its work. Prices are efficient, and entering on price alone is no longer an option.

The second is looking at the FX spread separately from the fixed fee. Providers charging a near-zero FX spread with a large fixed fee make large transfers cheap and small ones expensive. The reverse is also true. So looking at the representative ticket size of the segment you serve, and what the all-in cost is at that size, is the important input.

The third is a detailed understanding of the competitive landscape, not just the count of providers in the corridor, but who they are. Say you see a corridor with expensive legacy banks and money transfer operators on one side and cheaper fintechs on the other. That signals a corridor where price competition is active. If a corridor has a dense cluster of low-cost providers and only a handful of high-cost ones, it is a more mature corridor where informed customers do not overpay. This reading also tells you the directional movement of margins, whether they will remain where they are or keep decreasing.

Three corridors, three pricing stories

Different corridors tell you different pricing stories.

The first example is Hong Kong to the Philippines. This corridor has one of the widest spreads among the corridors we track. The gap between the cheapest and the most expensive is more than 420 basis points on a $1,000 transfer. Wise operates at less than 70 basis points, while PayPal operates at 490. This is a generational split. New-age fintechs cluster around low spreads and low total cost, while legacy players sit at a much higher price. Wise, Instarem, and Singx are all around the 70 basis-point mark, while legacy players like Western Union and HSBC are above 200 basis points, and OFX and PayPal are above 450. Almost all of the gap is the spread, not the fixed fee. For PayPal, the FX spread is more than 440 basis points, while Wise operates at less than 5. This corridor shows that incumbents still charge based on legacy rates with wide spreads, giving new-age operators huge room to compete on price.

The US-to-Mexico corridor also has a high 480-basis-point gap, but it behaves very differently. The cheap end of the competitive structure isn't just one or two new-age fintechs but a crowded cluster: Xoom, TapTap Send, Revolut, and MoneyGram, all operating below 50 basis points. The expensive end includes banks and legacy players, with Wells Fargo, Chase, and Remitly around 350 basis points and PayPal at 480. This is a more mature, heavily contested corridor with several low-cost options. The spread gap means some customers still overpay because of information inefficiency. A read of the Community Sentiment confirms this: this corridor is split across cheap, fair, and expensive, almost mirroring the pricing spectrum.

The US to Mexico corridor also has a clear example of a fee-versus-spread difference. Wise maintains an average FX spread of just around 2 basis points but charges a fixed fee of $12 on a $1000 transfer. This makes it one of the more expensive options at 122 basis points. On a higher ticket size of, say, $50,000, Wise becomes close to the cheapest option on the corridor.

A third scenario is a corridor like GBP to Nigeria. On the surface, the spread in this corridor looks narrow. The gap between the lowest- and highest-priced providers is near the bottom of the corridors we track, and many providers show very low spreads. So it is easy to conclude that this is a highly efficient corridor. But this is actually a very thin corridor. It has one of the lowest rates of formality, at 70%, so almost a third of the flow moves through informal channels. The lack of complete formal pricing data points to that informality.

The trap

An easy trap is to look at a wide spread and assume it represents easy margins. A wide spread, of course, shows that margin is available, but it doesn't mean the margin is easy to capture. Sometimes the spread is wide precisely because the corridor is hard to enter and win. The expensive providers on the Hong Kong to Philippines corridor, for example, are not simply lazy; they are pricing in some of the genuine cost and difficulty of that corridor. A new entrant that assumes it can undercut them easily may be completely wrong.

GBP to Nigeria is a similar trap, but inverted. The pricing data looks thin, not because the corridor is simple, but because it is hard, as the formal market is less developed than the others. The missing data here points to that difficulty, and not to a mature, solved corridor.

When you look at such an underbuilt market, it can be an opportunity or a wall, depending on what comes next. The next two layers show how difficult or easy it is to build a business in that corridor, and what cost you can operate it at.