The method
Paste the prompt into ChatGPT/Gemini/Claude. Input customer interaction data (e.g., website visits, email responses). The LLM analyzes data, identifies the funnel stage (awareness, interest, decision, action), and provides actionable insights.
The prompts
Prompt 1
Analyze the following customer interaction data and identify the corresponding sales funnel stage (Awareness, Interest, Decision, Action). Provide a brief explanation for your categorization and suggest one actionable next step to move the customer further down the funnel.
[Customer Data]: User visited the website's landing page twice, spent an average of 3 minutes on each visit, downloaded a free e-book, and subscribed to the email newsletter but has not yet opened any subsequent emails.
[Customer Data]: User visited the website's landing page twice, spent an average of 3 minutes on each visit, downloaded a free e-book, and subscribed to the email newsletter but has not yet opened any subsequent emails.
Prompt 2
You are a sales funnel expert. I will provide various customer interaction datapoints, and you need to classify each of them into the appropriate sales funnel stage (Awareness, Interest, Decision, Action) and provide a suggestion on what action should be taken to make the customer move to the next stage.
Here is the data: A prospective customer attended a webinar, visited the pricing page three times, added a product to their cart, but abandoned the cart without completing the purchase. Provide suggestions on how to address the customer at each stage.
Here is the data: A prospective customer attended a webinar, visited the pricing page three times, added a product to their cart, but abandoned the cart without completing the purchase. Provide suggestions on how to address the customer at each stage.