The Secret to How Lyft’s Round Up Program Raised Over $3 Million

Written by NateAndorsky | Published 2018/01/11
Tech Story Tags: lyft | behavioral-economics | tech | user-experience | round-up-program

TLDRvia the TL;DR App

On May 1, 2017, Lyft announced its Round Up & Donate program. Designed to strengthen the community Lyft was built on, and support a variety of nonprofits, the program allows riders to “opt-in” and have their fares rounded up to the nearest dollar so that the change can be donated to a charitable cause.

Since its inception, the Round Up & Donate program has been a massive success. In only seven months, the program has raised more than $3 million. While it seems obvious that riders would want to participate in such a wholesome program, the success of Round Up & Donate has surprised many.

While it may seem like magic, Lyft’s Round Up program creatively leverages a few behavioral economic theories to make donating pain free and seamless.

Why Lyft’s New Program Works: 3 Reasons Rooted in Behavioral Economics

Lyft’s Round Up program wasn’t an accident, and its massive success isn’t random. Instead, Lyft’s engineers utilized three essential components of behavioral economics and built the program around it — whether they knew it or not. Taken together, these three ideas make the concept of rounding up attractive, easy and exciting for customers, reducing the friction between intention and action.

1. The Default Effect

In the world of behavioral economics, the default effect is the course of action that happens when the decision maker doesn’t make any specifications.

Because it’s easier to just go with the default setting, people tend not to cancel subscriptions or opt-out if they don’t want to donate. Lyft leveraged the default effect with its Round Up program.

Instead of asking the user to donate to the nearest dollar after every ride, Lyft asks you to set it as the default and then auto-donates after every ride. The program runs in the background of the Lyft app, and riders almost forget it exists.

2. Anchoring

Anchoring is another tenant of behavioral economics. It refers to the cognitive bias that happens in relation to the first piece of information a person gets when making a financial decision.

In other words, it’s the human tendency to evaluate an option based on the other options present. Here’s how it works in Lyft’s case:

Say a rider is already spending $8.20 for a ride. At that point, what’s another $0.80? Most people opt-in without even giving it much thought.

Much like an upsell, the Round Up program works because the hardest part is always getting people to spend any money. Once they’ve spent some money, it’s pretty easy to get them to add a few extra cents.

3. Framing

Framing refers to the way an organization words a choice to make it appear more or less attractive to customers. On its website, Lyft states that customers who opt-in donate “just a few dollars each month,” on average.

As you’ll notice, Lyft doesn’t ask riders to commit to donate money outright every month, which wouldn’t be nearly as successful. Instead, by using the phrasing “round up to donate,” the company makes the ask seem simple and straightforward, thereby making it much more attractive.

Lyft Continues to Advance the Program

The Round Up & Donate program continues to thrive, and Lyft recently added three new partners to the system. According to TechCrunch, the partners include Girls Who Code, Habitat for Humanity and the World Wildlife Fund (WWF). In the past, Lyft has also offered to match donations made via Apple Pay, resulting in more donation dollars and outstanding program performance.

Until next time,

Nate


Published by HackerNoon on 2018/01/11