Agency Sub-Rate Models That Fail in Live Streaming Platforms

What happens when a live streaming platform like Bigo Live or Tango has hundreds of creators, but many of them are barely active? The problem may not always be creator acquisition or monetization. Sometimes, it starts with how agencies are paid.

An agency sub-rate determines how revenue is shared between the platform, agencies, sub-agencies, and creators. If the structure rewards recruitment more than ongoing creator management, agencies may focus on bringing in new streamers instead of supporting existing ones. As the platform grows, unclear rates, multiple commission layers, or weak performance incentives can make the structure harder to manage.

This article looks at agency sub-rate models that can create these problems, why they fail, how they affect creators and agencies, and what platforms can consider when designing a more sustainable structure.

What Is an Agency Sub-Rate Model?

An agency sub-rate model defines how an agency or sub-agency is compensated for the creators it manages.

A simple structure might involve three parties: the platform, the agency, and the creator. A more complex setup may involve a master agency, sub-agencies, individual agents, and creators.

The platform determines the overall revenue-sharing framework, while the agency may be responsible for recruiting and managing creators. A sub-agency or agent can then handle more direct creator communication and support.

The payment arrangement can vary depending on the platform’s business model and the responsibilities assigned to each participant. For example, a live social platform like Tango can involve creator and agency relationships where the way responsibilities and earnings are divided needs to be clearly defined.

Consider a simple hypothetical example. A creator generates $10,000 in eligible platform revenue during a given period. The platform has an agreed revenue-sharing arrangement with the agency, and the agency may have a separate agreement with a sub-agency or agent.

The important part is not whether one participant receives 10%, 20%, or another percentage. What matters is whether everyone understands what that percentage applies to, who receives it, and what conditions can change it.

That becomes increasingly important when several agency levels are involved.

How Agency Sub-Rate Models Work in Live Streaming

Agency models exist because managing a large creator network requires more than giving creators access to a streaming app.

The platform handles the technology, payments, moderation systems, audience features, and monetization infrastructure. Agencies may handle creator acquisition and management, while sub-agencies or agents can provide more direct creator support.

The payment structure connects these responsibilities. An agency may be compensated based on creator recruitment, creator revenue, ongoing activity, or a combination of factors. A sub-agency may receive a portion of the agency’s compensation based on the creators or revenue it manages.

Participant	Main responsibility
Platform	Technology, monetization, payments, and platform operations
Agency	Creator recruitment and management
Sub-agency or agent	Creator-level support and communication
Creator	Live content and audience engage

The exact arrangement depends on how the platform wants its agency network to operate. Some platforms may use a single agency level, while others may have several management layers.

The important point is that the rate determines which activities receive financial recognition. If compensation is tied primarily to recruitment, recruitment becomes an important part of the agency’s commercial activity. If compensation also depends on creator revenue, activation, retention, or ongoing activity, those outcomes become part of the financial relationship as well.

This is why the structure of an agency sub-rate matters. It does not simply determine how revenue is divided. It also establishes the commercial relationship between the platform, its agencies, and the creators they manage.

Also Read: Bigo Live vs Tango vs Poppo vs Chamet

Agency Sub-Rate Models That Can Fail

There is no single agency model that fails in every situation. A structure can work for one platform and create problems for another depending on its creator base, monetization model, market, and stage of growth.

The following models deserve closer attention because of the problems they can create when their incentives or rules are poorly designed.

Flat-Rate Models

A flat-rate model gives an agency or creator group the same percentage regardless of performance.

It is easy to understand. If an agency receives a fixed rate, there is little room for confusion about the basic commission.

The problem appears when the agency network becomes more varied.

Imagine two agencies. Agency A manages 50 creators who stream regularly and generate consistent revenue. Agency B also manages 50 creators, but only a small portion of those creators remain active.

If both agencies receive exactly the same rate, the model does not distinguish between the different levels of contribution.

That does not automatically make a flat rate wrong. It simply means the model provides limited room for performance-based differentiation. A platform may eventually need additional criteria if it wants the commission structure to reflect differences in creator activity, revenue, or retention.

Low Creator Payout Models

A platform may retain a larger portion of monetization revenue and give creators a smaller share.

From the platform’s perspective, this can increase the amount of revenue retained from creator activity. But the creator sees the equation differently.

Consider a creator who spends several hours each week streaming and building an audience. If the creator’s earnings remain relatively low even after generating meaningful activity, the financial value of continuing may become less attractive.

Major platforms use different revenue-sharing structures, which shows why the terms need to be considered carefully rather than treated as a universal percentage. For example, YouTube says eligible partners who accept its Commerce Product Module receive 70% of net revenue from channel memberships, Super Chat, Super Stickers, and Super Thanks. This is a platform-to-creator revenue share, not an agency sub-rate benchmark, but it illustrates how the creator’s final share can be an important part of a monetization structure.

The problem is therefore not just a percentage printed in a contract. It is the relationship between creator effort, revenue generated, and the amount ultimately received.

Recruitment-Heavy Models

A recruitment-heavy model places greater financial emphasis on bringing new creators into the platform than on what happens after they join.

Suppose an agency receives a financial reward whenever it brings a new creator to the platform. Recruiting 100 creators can therefore appear more valuable than spending additional time helping 20 existing creators improve their activity.

That can create a quantity-over-quality problem. A platform may see its creator registration numbers increase while its active creator base does not grow at the same pace.

The importance of balancing acquisition with ongoing creator activity can be seen in how large live-streaming platforms manage creator supply. In its Q2 2026 results, Kuaishou reported RMB 8.7 billion in live-streaming revenue. The company also said it had introduced streamer acquisition incentives and early-stage growth support to expand the supply of new streamers from talent agencies, while separately focusing on identifying and nurturing high-value independent streamers.

This does not mean acquisition incentives are ineffective. Rather, recruitment can be one part of a broader creator-supply strategy. For an agency sub-rate model, the question is whether the commercial structure also recognizes the activities that happen after recruitment, such as onboarding, creator support, activation, and continued participation.

A recruitment incentive can therefore be useful without becoming the only activity that receives financial recognition.

Multi-Layer Commission Models

A multi-layer structure may involve a master agency, agencies, sub-agencies, individual agents, and creators.

Multiple levels can make sense for large agency networks or platforms operating across different markets. A platform like Chatroulette shows that real-time video services can have different operating structures, so the same agency setup may not suit every platform.

Every additional layer also creates another relationship to manage. If a creator wants to understand how their final payout was calculated, several commission arrangements can make the process harder to explain.

The model becomes difficult when creators cannot clearly see how rates, deductions, and intermediary commissions affect their earnings.

Multiple agency layers are not inherently inefficient. The issue is whether each layer has a clear responsibility that justifies its place in the payment structure.

Fixed-Rate Models

A fixed-rate model can be useful when the platform wants predictable commission calculations.

But imagine a platform has two agencies. One manages creators who generate substantial revenue every month, while the other has a much smaller active creator base.

If both operate under exactly the same fixed rate, the platform has limited ability to recognize those differences through the commission structure.

The distinction between a flat-rate model and a fixed-rate model can be subtle, but the underlying concern is similar. A rigid rate may be easy to administer, yet it can leave little room to reflect changes in agency performance as the platform grows.

As the creator ecosystem becomes more mature, a platform may need more flexibility than a single fixed rate can provide.

Unclear Performance-Based Models

Performance-based rates can provide flexibility, but they can also cause problems when the criteria are poorly defined.

An agency may be told that its rate depends on performance without being given a clear explanation of which measurements determine that rate.

Does performance mean creator revenue, active creators, streaming hours, creator retention, viewer engagement, or something else?

For example, telling an agency that it can receive a higher rate after achieving “strong performance” is not enough. The platform needs to explain the metric, target, measurement period, and calculation method.

A clearer structure might define a specific target for active creators or creator-generated revenue over a particular period, then explain exactly how reaching that target changes the applicable rate.

Without those details, a model designed to reward performance can become a source of disagreement. Agencies may interpret the criteria differently from the platform, while creators may struggle to understand how changes in agency compensation affect their own earnings.

Why These Sub-Rate Models Fail

The common problem is not that these models are inherently unusable. It is that the financial incentive can sometimes point in a different direction from the platform’s actual objective.

A platform may want an active creator base, while its agency structure places greater financial weight on registrations. It may want agencies to provide ongoing creator support, while the compensation structure recognizes only a limited part of that work. It may also want transparent, predictable payouts while operating a commission structure that becomes difficult to explain across multiple agency levels.

This creates an incentive mismatch. The agency is responding to the activities that have the clearest financial value, while the platform may be trying to achieve a broader outcome.

Scale can create another challenge. A structure that is easy to manage with a small number of agencies may become harder to administer when the platform adds more creators, sub-agencies, markets, performance tiers, and payout conditions.

The underlying issue is therefore alignment. The agency structure needs to reflect the platform’s operating model, the responsibilities assigned to each participant, and the outcomes the business is actually trying to improve.

How Poor Sub-Rate Structures Affect Creators and Agencies

Once the commercial structure creates the wrong incentives or becomes difficult to understand, the effects can appear across the creator network.

Creator Retention

Creators evaluate the overall value of participating in a platform. Earnings are one part of that equation, alongside audience access, platform features, support, payment reliability, and the effort required to remain active.

If creators find the payout structure difficult to understand or believe the economics do not justify the effort involved, maintaining long-term activity can become more difficult.

Agency Performance

Agencies have their own operating costs, including recruitment, onboarding, communication, monitoring, and creator support.

If the compensation they receive does not adequately account for the work they are expected to perform, the agency may have less commercial reason to invest resources in those activities. This can become particularly important when agencies are responsible for managing creators after the initial recruitment stage.

Creator-Agency Relationships

Payment confusion can quickly become a relationship problem.

Suppose a creator expects to receive one amount but sees another amount in their payout. If the creator and agency cannot easily see how the final number was calculated, even a small discrepancy can lead to repeated questions or disputes.

Clear earning statements, defined commission rules, and accessible payout records can make these situations easier to resolve.

Platform Economics

The platform also needs to consider the full economics of the arrangement.

Creator payouts, agency commissions, payment processing, infrastructure, moderation, marketing, and other operating costs all affect the amount the business ultimately retains.

A commission model therefore needs to be evaluated as part of the platform’s broader revenue structure rather than by looking at one percentage in isolation.

Key Metrics for Setting Agency Rates

Before changing an agency rate, platforms need to know which business outcome they are trying to improve. The relevant metrics can help the platform evaluate whether its agency structure is producing that outcome.

Metric	What it can show
Creator revenue	Revenue generated through managed creators
Active creators	Size of the currently active creator base
Creator activation	How many recruited creators actually become active
Creator retention	How many creators remain active over a defined period
Streaming activity	Frequency or volume of creator activity
Viewer engagement	Audience interaction with creator content
Creator churn	Rate at which creators become inactive or leave
Revenue per active creator	Average revenue generated by active creators

These metrics should not all carry the same weight.

A platform focused on expanding its creator network may pay closer attention to activation, while a more mature platform may place greater importance on sustained activity, retention, and revenue generated by active creators.

The key is to use measurements that correspond to the objective the agency structure is designed to support.

Build a BIGO, Tango, or Chatroulette-Like Platform With Oyelabs

A live streaming or real-time video platform needs more than streaming and payment features. It may also need creator management, agency dashboards, commission rules, earnings tracking, performance reporting, and flexible payout workflows.

Oyelabs can help build a customized platform inspired by models like BIGO Live, Tango, or Chatroulette, with creator and agency management features based on your business requirements.

Talk to Oyelabs about building your live streaming platform.