Why Proprietary / Private AI Models Deliver Greater Campaign Value for Advertising Agencies and Brands than General LLMs

Advertising agencies face an important technology choice. Brands demand advanced AI capabilities across campaign activities for better results. Brand procurement departments want lower fees from automated processes. The decision is not whether to advance AI technology. It is how. Should an agency or inhouse brand:

• Build proprietary AI models trained on advertising-specific campaign performance data
• Deploy general-purpose large language models (LLMs) through workflow wrappers
• Or should they partner with a fully-developed model infrastructure provider?

Off-the-shelf AI tools are easy to find, build and use, but custom-built models give advantages in successful campaigns, a stronger position against competitors, and lasting value.

The analysis shows that while general AI solutions appear attractive for rapid implementation, exclusive models trained on advertising data such as creative choices, brand lift metrics, sell-through and other KPIs create sustainable advantages.