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Kinesis Referrer’s Yield

The Referrer’s Yield rewards participants for bringing new users to the Kinesis Money platform by providing them with a passive monthly yield in Kinesis gold (KAU) and silver (KAG). 

How does It Work?

When a new participant opens a Kinesis account through a referral link and completes the KYC verification process, the user who referred them becomes eligible to earn a yield whenever the new participant mints Kinesis currencies, trades on the Kinesis Exchange, or spends using their Kinesis debit card. 

What qualifies for the Referrer’s Yield? 

To qualify for the Referrer’s Yield, simply share your unique referral link with people you know or businesses to introduce them to the Kinesis Monetary System. By doing so, you will automatically receive 7.5% of their transaction fees from their KAU, KAG, and crypto spending, as long as your referees are verified and remain active. 

How do you calculate the Referrer’s Yield? 

The Referrer’s Yield is determined based on the total amount of transaction fees collected by all the participants registered as your referees by Kinesis in a specific month. This encompasses fees produced both from their Kinesis accounts and any external wallets linked to their Kinesis accounts through:

• KAU and KAG Kinesis card transactions
• KAU and KAG on-chain/ blockchain transactions
• KAU and KAG minting fees
• trades at the Kinesis Exchange

Is there a specific amount of transactions that my referees need to make in order for me to earn a yield? 

No, there is no minimum amount of transactions required. You will earn the Referrer’s Yield in gold and silver on every transaction (including trading, sending, and spending) in gold, silver, crypto and fiat currencies that your referee has conducted within a month. 

How can I generate a return by sending Allocated gold and silver through email? 

The ability to send KAU and KAG using only the recipient’s email address, known as the send-to-email feature, allows Kinesis account holders to easily bring new users onto the platform. This also makes the sender eligible to receive the Referrer’s Yield. If someone who never had a Kinesis account before receives the funds and signs up for an account, the person who sent the funds will qualify for the Referrer’s Yield. 

A single-layer affiliate program

The Kinesis affiliate (or referral) program is deliberately structured as a single-layer system rather than a multi-layer or multi-level marketing (MLM) setup.

Kinesis offers two related but distinct programs: the standard Referrer’s Yield and the more advanced Partner’s Yield (introduced as the Kinesis Partner Program in 2024). Both are flat in nature.

With the Referrer’s Yield, any verified user gets a fixed 7.5% share of the transaction fees generated by the people they directly refer—for life—as long as those referees remain active and keep transacting. There is no further downline. You do not earn anything from people your referrals bring in. It stops at that first level. No commissions cascade down through multiple tiers, and there is no requirement to recruit others to build a “team” or network in order to qualify for rewards.

This flat design sets Kinesis apart from classic MLM or multi-tier affiliate programs, where income often depends on recruiting others who then recruit more people, creating exponential layers. Kinesis has explicitly described its referral system as “flat” in community discussions and support materials, aligning it more closely with straightforward referral programs seen on many fintech or crypto platforms.

The reasoning appears practical and regulatory-conscious. A single-layer model avoids the pyramid-scheme optics that often surround multi-level structures, especially in jurisdictions that scrutinize MLM heavily. It also keeps incentives focused on genuine platform adoption—encouraging users to bring in active traders or spenders rather than building recruitment chains. Fees come from real economic activity (trades, sends, card usage), and rewards flow directly from that pool without complex cascading math.