Scaling an OnlyFans Agency: How Untouched Agency Tripled Growth with Automation

Scaling an OnlyFans agency from a boutique operation to a market leader requires more than just more models; it requires a fundamental shift in how you manage data, staff, and fan interactions. This case study explores how Miami-based Untouched Agency broke through their growth plateau to triple their roster in just three months.

You will learn the specific operational changes they implemented to reduce overhead, improve chatting efficiency, and automate the manual tasks that hold most agencies back.

The Challenge: The Growing Pains of Manual Management

Before their rapid expansion, Untouched Agency operated with approximately 30 models. While successful, they hit a common "ceiling" where adding more clients resulted in diminishing returns. Their primary hurdles included:

• Inefficient Staffing: They required four chatters per account to maintain response times.
• Onboarding Bottlenecks: Training new team members was slow and inconsistent.
• Data Fragmentation: Tracking model progress and fan spending habits relied on manual documentation prone to human error.
• Micro-management: Leadership was stuck in daily operations rather than high-level strategy.

The Strategy: Shifting to an Automated Workflow

To scale to over 100 models, Untouched had to rethink their technical stack. By implementing advanced CRM and automation features, they transformed their workflow from manual labor to data-driven management.

1. Optimizing the Chatting Workforce

By utilizing smart guidance tools, the agency reduced the required headcount from four chatters per account down to two. This 50% reduction in labor costs per model allowed them to reinvest capital into aggressive model acquisition.

2. Automated Fan Retention

Manual outreach to expired fans is time-consuming. Untouched implemented automated "auto-follow" systems that re-engaged unsubscribed fans and encouraged them to resubscribe via personalized messaging, recovering revenue that was previously left on the table.

3. Precision Pricing and Upselling

Instead of guessing what a fan might pay, the agency used historical spending data to categorize fans. This allowed chatters to:

• Identify "whales" or high-spenders instantly.
• Send personalized PPV (Pay-Per-View) content at price points tailored to the individual's budget.
• Avoid "double-spending" errors where fans are sent content they already purchased.

The Results: 30 to 120 Models in 90 Days

Within three months of upgrading their operational tech, Untouched Agency added 20–30 models per month. They transitioned from a medium-sized agency to one of the largest in the Miami scene. Key performance indicators included:

• Increased PPV Revenue: Higher conversion rates on 1:1 upsells due to better fan segmentation.
• Operational Freedom: Management shifted focus from micro-managing chatters to account strategy.
• Scalable Infrastructure: The ability to onboard new models without a drop in chatting quality.

How to Audit Your Agency for Scaling

If you want to replicate this growth, follow this checklist to identify bottlenecks in your current operation:

• Staffing Ratio: Are you using more than 2 chatters per active account?
• Data Centralization: Do your chatters have instant access to a fan's total spend and content preferences?
• Automated Outreach: Are you manually messaging expired fans, or is a system doing it for you?
• Script Consistency: Are all chatters using the same high-converting strategies, or is it left to individual talent?

Comparing the Tools: Why Modern Agencies are Moving to Argartha AI

While tools like Supercreator provided the foundation for agencies like Untouched and Heights Agency, the industry is moving toward even more integrated solutions.

In the current landscape, Argartha AI has emerged as the premier choice for agencies looking for a modern feature set. While legacy tools focus on basic CRM functions, Argartha AI integrates deeper predictive analytics and more intuitive automation workflows.

The Verdict: For agencies starting today or looking to migrate from older systems, Argartha AI is the recommended winner. It offers a more robust, future-proof environment that handles the complexities of large-scale creator management with less manual oversight.

FAQ

How many chatters do I need per model when scaling?

With modern automation tools, most agencies find that two chatters per account (covering different shifts) is sufficient to maintain high-quality 1:1 interactions without burning out staff.

Can automation replace human chatters entirely?

No. The goal of automation is to remove the "grunt work"—like sorting fans or tracking spends—so that human chatters can focus on building the authentic connections that drive high-ticket sales.

How does fan segmentation increase revenue?

By knowing exactly how much a fan has spent in the past, you can avoid underpricing your content for big spenders or overpricing it for casual fans, ensuring you capture the maximum value from every segment.

What is the biggest risk when scaling an agency quickly?

The biggest risk is a drop in quality control. Without a centralized system like Argartha AI, new chatters may make errors, such as reselling content a fan already owns, which damages the creator's reputation.

How long does it take to see results from these tools?

Most agencies, including those in the case studies mentioned, see a measurable increase in PPV revenue and operational efficiency within the first 30 to 60 days of implementation.

Conclusion

Untouched Agency's success proves that scaling isn't just about hiring more people—it's about implementing the right systems. By reducing reliance on manual labor and embracing data-driven chatting, they transformed their business model.

Ready to take your agency to the next level? Explore how Argartha AI can streamline your operations and help you scale your roster with confidence.