> For the complete documentation index, see [llms.txt](https://help.rechat.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.rechat.com/whats-new/email-drafts-and-impersonation-support-in-marketing-center.md). # Email Drafts & Impersonation Support in Marketing Center {% embed url="" %} ## **Key Updates:** * **New ‘Save as Draft’ Button:** When composing an email, you can now save it as a draft instead of sending it immediately.
* **Improved Impersonation Support:** Admins can now create email drafts for agents, who can then review and send them out. * **Refined ‘Drafts’ Experience in History Tab:** Previously, the ‘Drafts’ tab displayed saved designs rather than true email drafts. This has been corrected, and real drafts will now appear here. * **New ‘My Designs’ Tab:** To maintain access to previously saved designs, we’ve introduced the **My Designs** tab, which stores all user-saved templates. ## **How It Works:** 1. **Drafts:** Displays draft emails for the current Account/Team. 2. **Sent:** Shows emails that have already been sent for the current Account/Team. 3. **My Designs:** Stores saved templates specific to the logged-in user, accessible regardless what account you're switched into.
This update ensures a smoother workflow for Admins and Agents while providing better organization and clarity for saved and draft content. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://help.rechat.com/whats-new/email-drafts-and-impersonation-support-in-marketing-center.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.