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Matheus Riolfi
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Case Study

How Riders Share increased conversion of their most profitable transactions and reduced its insurance premium by 76% with the Tint Insurance Platform

claims rate reduction
higher conversion for low-risk transactions
saved on engineering and data science resources
How Riders Share increased conversion of their most profitable transactions and reduced its insurance premium by 76% with the Tint Insurance Platform

Riders Share

Riders Share is a peer-to-peer marketplace focused exclusively on street-legal motorcycle rentals. It was the first motorcycle sharing website in the U.S., and first to figure out insurance, which is a key part of the experience. It launched in August 2016 and is currently available nationwide.

The company is out to solve a large problem: motorcycles are ridden less than 2,000 miles per year, compared to 12,000 for cars. At the same time, there are about 30 million licensed riders and just under 10 million motorcycles in the United States. There are millions who would occasionally ride motorcycles if it wasn't for the steep prices of motorcycle rentals.
The Riders Share team knew that insurance was critical to its success. From the early days, they pioneered their insurance policy and built their risk management muscles.

Identifying the risk of their transactions would be critical to run an efficient risk stack and to have a profitable business. As a small team, they didn't have the resources to build an end-to-end data and machine learning infrastructure to optimize their risk management, so they were looking for partners.

When they met Tint, it was love at first sight.
Tint understands marketplaces, risk, and machine learning. This is a killing combination for growing marketplaces like ours. It allowed us to get on parity with the giants in the sector and use AI much faster than we'd have done internally.

The Solution

Riders Share and Tint decided to run a proof of concept of the Tint Insurance Platform, which is AI-powered and provides no-code the tools that companies need to successfully run their insurance programs. Its modules include a light-wight policy admin, a decision engine, and a rating engine.

Tint collected historical data from Riders Share and augmented it with hundreds of attributes from its network of third-party vendors. From there, it's technology trained machine learning models and reported the pilot results to Riders Share.

After very encouraging results, the company decided to use the risk segmentation to deploy risk-based pricing and deductibles for its damage waiver product. It integrated the Tint API in its product workflows to receive all information required to display the protection details to the user in real time.

Finally, Riders Share decided to renew it's third party liability policy using the marketplace module of the Tint Insurance Platform. It had direct access to the most relevant insurers in the space and was able to renew its policy with a premium that was 76% lower than the year before. This provided a huge boost to its gross margins.


Since deploying Tint, Riders Share reduced its insurance premiums by 76%. The conversion rate of transactions in the low-risk group was 100% higher than the high-risk group, successfully driving more low-risk transactions down the funnel and pushing away higher risk transactions. Finally, the company spent only 1 week to integrate the Tint API and saved 90% of the engineering and data science resources to build in-house tools. It could get even more benefits while focusing on its core marketplace product.
insurance premium reduction
conversion difference between low and high-risk groups

saved on engineering and data science resources
The Tint Insurance Platform really helped us identify the transactions with the lowest risk, which are the most profitable, and reduce the friction to them. This led to better conversion and higher overall profitability for us. We're super happy and recommend it to other marketplaces.

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