The Definite Guide to Lifecycle Email Prompt

Creating a high-quality, production-ready email typically requires 8–10 prompts.

If you feel the system didn’t fully understand your request or the output doesn’t meet your expectations, think of it like working with an assistant—provide constructive feedback and ask for a revision to get the desired result.

1. A typical Marketing email has the following structure:

   1. Subject line

   2. Preview Text

   3. Salutation

   4. Header — which needs to be visually compelling and persuasive and on brand

   5. Body Copy — The text needs to be aligned to the goal of the email and suitable for the target audience in the right tone.

   6. Footer — This needs to build trust that the company is legit. Typical links to social media channels, company address and an unsubscribe link is used to build trust.

2. The first step is to import all images into the Content Library. You can do this easily by providing a prompt to import images from the company homepage and other relevant sites, instructing the system to save the appropriate images in the library. Alternatively, if you have access to higher-resolution images, you can upload them directly into the Content Library.

3. Once images are uploaded to the content library, you can prompt the system by describing:

   • The goal of your email

   • Your target audience

   Then, ask the system to:

   • Generate a relevant and compelling subject line

   • Create a persuasive and on-brand email header

   • Produce a matching footer with valid URLs

   • Ensure that fonts and styles align with your homepage for consistent branding

4. Once the first draft is generated, you can choose a different model from the prompt box to review and critique the email. Then, return to the original model and ask it to incorporate the feedback from that critique into a revised version.

If you encounter an error with the model, click the plus button to clear the chat window and submit your prompt again. If the model appears to be hallucinating or doesn’t produce the expected results, you can provide feedback to help improve its responses."