Remitly

Partner Pricing

Remitly is a fintech company with the largest global remittance partner network in the world, enabling transfers and payments to over 5 billion bank accounts, 1.2 billion digital wallets, and 470,000 cash pickup locations.
The Pricing & Merchandising team communicates to customers our payments, pricing, and other offers.
Business problem

Flat fee, variable cost

Remitly charges customers a flat fee to cover the operating costs of each money transfer. Operating costs include the fees Remitly pays to local payout partners, which varies.

In one of our largest markets, Mexico, we were losing money on some transfers due to the high fees charged by local partners such as Elektra.



Given Elektra’s 50% market share in Mexico, this tradeoff posed a major business risk. To stay competitive, we decided to adopt a more granular fee structure—charging higher fees for high-cost partners and remain more competitive with lower-cost ones.
Customer problem

They're raising prices

No one wants to hear this ↑

We were going to *raise our fee by 25%(!)* for half of our -Mexico customers - a market that generates over 20% of Remitly's revenue. The risk was immense.


Plus, the existing customer experience was outdated and frictionful ↓


How might we..?
We needed a way to mitigate these new and existing frictions.

  • How might we help customers understand the new fee?
    Minimize churn despite the fee hike.
  • How might we reduce friction and provide peace of mind?
    Craft a seamless payment experience.
Research

Meet the customer

To validate our risk hypotheses and find answers, the team took a day trip to Yakima, WA, where there is a high population of Mexican migrants.
We conducted multiple rounds of rapid iterative prototype testing and interviews, both in controlled settings and in the wild. 


Risk validation
We were met with frustration and even anger. Customers felt betrayed by the fee hike, entertaining the idea of switching over to our competitor. Comprehension, satisfaction, and loyalty were at risk.
"Mercado pago has cheaper fees now"


Insights
Despite the tension, we gathered insights from the trip-along with follow-up surveys and concept tests-that would help us devise a creative strategy.
  • Premium brand = Premium price
    Customers were already familiar with Elektra. Without us prompting, some customers associated its high fees with its premium brand identity.
    "They always have cash. Other places don't always have cash so my mom has to wait"
    "They have big stores with air conditioning."

  • Where is Waldo?
    Customers looked for familiar brand logos. Spotting them resulted in strong positive inflection and high motivation to complete tasks.
    "I send to the BBVA in front of my daughter's house. I need to see the picture(logo), then I tap."
    "Can I send to OXXO? ..It's here"
Ideation

Eureka!

Our research revealed that migrants have a high level of familiarity with local partners which had strong brand identities, which I was able to leverage to answer our initial customer problems.



1/2

HMW help customers understand the new fees?



Learning
Premium brand = Premium price
Customers are familiar with local partner brands and associate Elektra's high fees with its premium brand identity.


Solution
Introduce value dimensions to reinforce the brand image, increasing perceived value of the higher-priced partners.

Globally, higher-priced partners tend to have higher send limits per day, more locations, or always had cash on hand for recipients. Exposing these "value dimensions" leads to comprehension of higher fees for premium partners.


Scaling & iterating
We decided to start with the send limit, because we have this data globally and readily implementable.

We can continue to iterate on implementing different value dimensions such as Trustpilot scores, number of locations in an area, etc.
2/2

HMW reduce friction and provide peace of mind?



Learning
Where is Waldo?
Customers looked for familiar brand logos. Spotting them resulted in strong positive inflection and high motivation to complete tasks.

Drop-off rate
The steep dropoff rate to partner selection indicated the customers' lack of confidence in proceeding with their transfers.


Solution
Bring out the partner logos.

If we can show partner logos earlier in the funnel, we can give customers peace of mind and the confidence to continue the transfer. I designed a small "logo stack" that could fit into small cards.
I inserted the logo stack earlier in the experience. Also, the two steps with steep dropoff was now consolidated into one seamless step.


Product-wide scaling
established the logos pattern into our design system, so that we can use it anywhere in the product, including marketing touchpoints.

The design team scaled the logos globally, creating a library of circular logos that can replace partner-provided logos.
Testing

Success Measures

We ran two experiments, both called for treatment!
The logos experiment became somewhat iconic among analysts, because of its outsized impact.
1. Value dimensions & CX improvements

Annualized profit to date
$6M+
Elektra (and others) operating cost reduction

~18% reduction

2. Partner logos

Annualized profit to date
$3.7M+
7-day order completion rate
+0.54% overall
+1.42% new customers
Drop-off rate during partner selection
Decresead by 13.07%
The End

Reflection

This project was all about listening to customers. Taking the care to really understand their perspectives—and then collaborating with the team to turn those insights into tangible product ideas—was so, so rewarding.

I loved creating reusable design patterns that could scale across the product and make a lasting impact. It reminded me how small, thoughtful experiences can lead to meaningful change.

Of course, I wish we had more time and resources to push for deeper, systemic improvements. One key learning was that customers don’t think about partners the way we do. Rather, they simply think about where they want to send money, such as a specific bank (Chase) or store (Walmart). Could we let customers search directly for those names, instead of asking them to choose a category that only makes sense internally? Maybe that’s where the next iteration begins.
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