> For the complete documentation index, see [llms.txt](https://docs.bbx.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bbx.com/invite-and-rewards/multi-tier-referral-system.md).

# Multi-Tier Referral System

BBX introduces a highly efficient growth engine for decentralized asset allocation networks: the Customizable Multi-Tier Referral System. Moving away from the rigid, one-size-fits-all single-tier referral constraints of traditional finance and early Web3 platforms, BBX empowers users with full "referral network architectural rights." This allows community builders, KOLs, and brokers to customize a highly compounding commercial network tailored to their own resources.

#### 1. Core Mechanism: 20% Total Rebate & Up to 9 Tiers of Customization

By inviting friends to trade on the BBX DEX, users can unlock a referral rebate of up to 20% of their friends' trading fees (net of baseline protocol fees). BBX grants users total freedom to decide how this 20% rebate pool is distributed across their referral network:

* Customizable Cashback Ratio: Inviters can freely set a cashback percentage to share with their referees, creating a win-win scenario.
* Customizable Depth: The referral structure supports a viral network up to 9 Tiers deep. While the total rebate cap remains locked at 20%, users can use a dynamic slider to allocate specific weights to each individual tier.

#### 2. Referral Network Architecture Options

To cater to the diverse business models of different promoters, the system provides three classic tier architecture recommendations:

* Single-Tier Network (1 Tier — Direct Only): Best suited for straightforward viral campaigns. All referral incentives are entirely concentrated on the users you directly invite, maximizing direct-referral returns.
* Balanced Network (2–3 Tiers — Steady Growth): While rewarding direct referrers, this model moderately activates the viral potential of sub-networks, achieving a dynamic balance between horizontal scaling and vertical deep-diving.
* Matrix Network (4–9 Tiers — Exponential Outbreak): Tailor-made for traffic owners, community leaders, and institutional brokers. Through a deep incentive mechanism spanning up to 9 tiers, every node within the network is intrinsically motivated to drive deep viral replication, building an uncapped pipeline of compounding commissions.

#### 3. Rebate Settlement & Calculation Example

<figure><img src="/files/SZbFdyfacEUqZSSffdog" alt=""><figcaption></figcaption></figure>

Suppose an inviter configures a declining 9-tier structure for the 20% total rebate via the system slider (e.g., Tier 1: 9.00%, Tier 2: 3.00%, Tier 3: 2.40% ... down to Tier 9: 0.40%).

When a user at your 9th tier generates 100 USDT in valid trading fees on the platform, the theoretical maximum on-chain rebate generated for that specific tier would be calculated as:

&#x20;                                            $$100 \times 0.40% = 0.40 \text{ USDT}$$

All tier-based commissions are automatically cleared and distributed in real time via smart contracts according to the system's allocation rules.

#### 4. Core System Advantages

* Real-Time End-to-End Tracking: Powered by full-chain smart contracts, user onboarding, volume conversion, and commission generation across every tier are updated on-chain in seconds, ensuring absolute transparency and auditability.
* Uncapped Scalable Growth: The system imposes no ceilings on total earnings or the number of referred users. As your referral tree continuously proliferates, you can modify and adjust the distribution ratios of each tier at any time, utilizing optimal strategies to drive the sustainable prosperity of your entire network.

In essence, BBX transforms referrals from a simple invite-and-earn model into a fully configurable on-chain growth system. Whether you are an individual creator, a community operator, or an institutional broker, you can build an incentive structure that matches your strategy while keeping settlement transparent, automatic, and scalable.


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