Ditch Monthly Retainers for AI Agencies
Learn why monthly retainers are killing AI agency profitability and how to switch to a more lucrative model.
The LaunchVault Intelligence Team
Quality-scored · Curated and edited for clarity
“Monthly retainers are quietly strangling AI agencies. By charging a flat monthly fee, agencies are essentially capping their potential revenue and creating a disincentive to deliver high-impact work. It's time to ditch this toxic model and switch to a performance-based approach.”
The AI agency landscape is rapidly evolving, with new technologies and techniques emerging every quarter. However, one thing remains constant: the need for a profitable business model. Monthly retainers have long been the norm for AI agencies, but this approach is quietly strangling their potential. It's time to ditch this toxic model and switch to a performance-based approach that rewards agencies for delivering high-impact work.
Part 01
The Problems with Monthly Retainers
Monthly retainers create a disincentive for AI agencies to deliver high-impact work. By charging a flat monthly fee, agencies are essentially capping their potential revenue and limiting their ability to scale. This approach also creates a lack of accountability, as clients may not be motivated to provide clear goals or feedback.
Part 02
The Benefits of Performance-Based Pricing
Performance-based pricing, on the other hand, rewards AI agencies for delivering high-impact work. This approach creates a clear incentive for agencies to focus on client outcomes and provides a direct link between agency performance and revenue. By switching to a performance-based model, AI agencies can increase revenue, improve client satisfaction, and attract top talent.
Part 03
Implementing a Performance-Based Model
To implement a performance-based model, AI agencies must first identify high-impact services that can be offered on a project basis. This might include AI strategy development, model training, or data analysis. Agencies must then create customized project plans and proposals that clearly outline the scope, timeline, and deliverables for each project.
By the numbers
30%
average revenue increase for AI agencies switching to performance-based pricing
According to a recent survey, AI agencies that switch to performance-based pricing see an average revenue increase of 30% within the first year.
Ditching monthly retainers is the key to unlocking true profitability for AI agencies.
Keep reading
AI Agency Business Models
Understanding the different business models available to AI agencies is crucial for making informed decisions about pricing and revenue strategy.
Performance-Based Pricing for AI Services
Learning how to implement performance-based pricing for AI services can help agencies increase revenue and improve client satisfaction.
The signal
Why this matters now
AI agencies that stick with monthly retainers risk leaving money on the table and struggling to scale. By switching to a performance-based model, they can increase revenue, improve client satisfaction, and attract top talent.
In practice
How to apply it today
Start by identifying high-impact services that can be offered on a project basis, such as AI strategy development or model training. Use tools like Notion or Linear to create customized project plans and proposals.
For example, an AI agency might offer a 'Model Training Package' that includes data preparation, model selection, and hyperparameter tuning for a fixed fee of $10,000. This approach allows the agency to focus on delivering high-quality work and earns them a premium for their expertise.
Connected ideas
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