Feed sales call transcripts into a pre-briefed AI model. Ask it to identify implicit, unstated reasons for prospect hesitation, such as concerns about company size or change management. This surfaces hidden objections that your marketing can then proactively diffuse.
Marketers often approach AI with inflated expectations, wanting a perfectly finished product. The correct mindset is to view AI as a tool to overcome the "zero to one" hurdle. It's a powerful assistant for creating a solid first draft or getting 50% of the way there, which a human then refines.
While AI is a powerful tool for generating tactical marketing assets like ad copy, it should not replace human collaboration for foundational strategic work. Core brand positioning requires the emotional nuance, debate, and judgment that can only come from a human team.
The effectiveness of AI tools like ChatGPT depends entirely on the quality of the initial inputs. To get exceptional results, "brief" the AI by uploading foundational documents like your company manifesto, jobs-to-be-done, and brand positioning. A lazy or generic prompt yields generic results.
Instead of brainstorming in a vacuum, upload raw transcripts from recent sales calls into a pre-loaded AI project. This provides the AI with the exact language, frustrations, and goals of your target customers, enabling it to generate highly relevant and authentic ad campaign ideas.
Before asking an AI for creative ideas, feed it a document defining your "category entry points"—the specific moments or triggers when a customer should think of your brand (e.g., "annual planning"). This strategic input ensures the AI's output is tied to specific buying moments, not generic concepts.
Most marketing avoids negativity, but proactively addressing your product's flaws or top churn reasons is a powerful strategy. It disarms skeptical buyers who are used to perfect marketing narratives. This transparency builds trust and attracts best-fit customers who won't be surprised by your product's limitations.
Elevate AI-generated marketing ideas by including a document of behavioral psychology principles (e.g., loss aversion, reciprocity) as part of your initial inputs. This prompts the AI to connect your brand's narrative not just to customer needs but also to fundamental human biases, resulting in more persuasive creative.