Designing Your Variable Rewards Referral Program

Amit Ashwini
4 min readApr 9, 2023

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Referral programs have become a common growth strategy for many SaaS companies. Companies can drive new user acquisition and boost revenue by incentivizing existing users to share their products with their friends and colleagues. However, not all referral programs are created equal. In fact, many companies fail to see significant results from their referral programs, leading to frustration and a loss of resources.

One effective way to boost the success of a referral program is by implementing variable rewards. In this blog post, we will explore how SaaS companies can use variable rewards to supercharge their referral programs and drive growth.

Understanding the Science behind Variable Rewards

The concept of variable rewards is not new. It has been used in the gambling industry for decades. The idea is that the unpredictability of a reward creates a cognitive bias in our brains, leading to an increased desire to take a chance. This is because the uncertainty of the reward releases more dopamine in our brains than the reward itself.

The same principle applies to referral programs. When users are offered a predictable reward for referring a friend, such as a fixed amount of money or a discount, they may feel less motivated to share the product with others. However, when the reward is unpredictable, and the user has a chance to win a larger sum of money or other prizes, they become more motivated to share the product.

The Power of Variable Rewards in SaaS Referral Programs

An example of Variable Rewards for Referral Programs

By using variable rewards in their referral programs, SaaS companies can tap into the power of cognitive biases and dopamine release to drive growth. Here are some benefits of using variable rewards:

Implementing Variable Rewards in SaaS Referral Programs

Here are some examples of how SaaS companies can implement variable rewards in their referral programs:

Use Data to Optimize Rewards

Collect data on the referral program’s performance and adjust the reward system accordingly. This data can include metrics such as referral rates, conversion rates, and user engagement. Analyzing this data can help you optimize your program to drive better results.

Communicate Clearly

Ensure that your users understand the reward system and how it works. Communicate the rules and requirements of the program clearly and concisely. Use email or in-app notifications to keep users informed about their progress and any changes to the reward system.

Use Gamification Elements

Incorporate gamification elements, such as leaderboards or progress bars, to create a sense of competition and motivate users to refer more friends. This can add an extra level of excitement and engagement to the program.

Specific Use Cases

Here are some specific use cases where variable rewards can be applied in a SaaS referral program:

  • Early Adopters: Offer variable rewards to users who refer friends during the product’s early adoption phase. This can help drive initial user acquisition and generate buzz around the product.
  • New Feature Releases: Use variable rewards to incentivize users to share new feature releases with their friends. This can help generate excitement around the new feature and drive adoption.
  • Targeted Campaigns: Design targeted referral campaigns with variable rewards for specific user segments. For example, offer rewards to users who refer friends in a particular industry or demographic.

Variable rewards are a powerful tool for SaaS companies looking to boost the success of their referral programs.

Using cognitive biases and dopamine release principles, SaaS companies can create a referral program that motivates users to share their products with others. Whether through randomized rewards, tiered rewards, or surprise rewards, variable rewards can help drive growth and revenue for SaaS companies.

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Amit Ashwini
Amit Ashwini

Written by Amit Ashwini

Product Marketing Strategist with 13+ yrs of experience. Expert in user acquisition, brand rejuvenation & designing data-driven strategies.

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