How Adexo Splits Ad Work Between AI and Humans

The article "How Adexo Splits Ad Work Between AI and Humans" explains the hybrid advertising platform offered by Adexo Advertising, a Minneapolis-based company. The platform combines AI automation with human oversight to optimize ad campaigns for local and service-based businesses.

The process consists of three stages. First, the client connects their own ad account to run campaigns under the business's name. An account manager creates and launches the initial campaigns.

The second stage involves the software handling ongoing testing, targeting, and optimization on Facebook or Google. This includes testing ad variations, refining audience targeting, monitoring performance continuously, and tracking which creative assets generate conversions.

The third and final stage is where the account manager plays the most crucial role. The account manager establishes campaign goals, determines account settings, and defines the business's operational limits. This includes establishing what represents a lead, selecting the appropriate geography, and ensuring the company can realistically fulfill the business's offerings.

The AI handles aspects such as testing ad variations, refining audience targeting based on conversion data, and monitoring performance continuously. However, the human account manager is responsible for defining the business's service area, setting proper conversion tracking, and making judgment calls on aspects like ad approvals.

The article explains why this hybrid model makes sense, as it plays to the strengths of both humans and AI. People excel at contextual understanding, while software is better at repetitive optimization tasks. Fully automating the process would leave the client responsible for both setting up and continuously optimizing the campaigns, which is unrealistic for small businesses.

The article also notes the limits of the hybrid model, emphasizing that the effectiveness of any advertising campaign still depends on data, which in turn depends on budget and time. No AI can make up for insufficient data. The article advises businesses to understand where the AI ends and the human expertise begins to set realistic expectations.