AI workflows transform seasonal campaign planning from intuition to data-driven strategy

Marketers can increase mortgage applications and funded loans by implementing a structured AI workflow to plan seasonal campaigns. The process begins by defining a project purpose and setting up a workspace in an LLM like Claude, where the user uploads CRM lead-funnel behavior, past campaign results, and borrower research. To ensure brand alignment and regulatory compliance, users integrate brand guidelines and verify data sharing with legal teams. The system utilizes a specific prompting structure comprising a role, context, task, output, and considerations to prevent generic advice. The LLM then analyzes uploaded data to extract buyer motivators and anxieties segmented by first-time, move-up, and refinance borrowers. This analysis identifies the most effective promotion angles for addressing high-anxiety moments, which are then used to develop a full promotion framework. This framework includes a strategic hypothesis, campaign themes, and a channel-specific messaging plan for organic social, PR, paid social, and email.