Never Drop a Deal Because You Forgot to Follow Up

AI drafts follow-up emails that reference your actual conversations. Reps review and approve — every prospect gets timely, relevant outreach.


Why this matters

Sales reps manage dozens of active deals simultaneously, and follow-ups consistently fall through the cracks. When they do follow up, it's often a generic 'just checking in' email that doesn't reference the specific conversation points that mattered to the prospect. This lack of personalization and consistency costs revenue on deals that were winnable.


How MultiMail solves this

MultiMail's AI agent monitors your conversation threads and detects when a follow-up is needed based on time elapsed since last contact. It drafts personalized follow-ups that reference specific discussion points from the thread history. With gated_send oversight, your reps review and refine each message before it reaches the prospect.

1

Track Active Conversations

Your AI agent monitors sales mailbox threads using get_thread and check_inbox. It tracks which prospects haven't responded within your follow-up window (e.g., 3 days after a demo).

2

Analyze Conversation Context

The agent reads the full thread history to identify specific topics discussed, questions asked, objections raised, and commitments made. This context drives personalization.

3

Draft Contextual Follow-Up

Using the conversation context, the AI drafts a follow-up that references specific points — not generic filler. Each draft includes a clear next step or call to action.

4

Rep Reviews and Sends

The drafted follow-up enters the approval queue under gated_send. Your rep can edit the tone, add details, or approve as-is. Approved emails are sent immediately via reply_email.


Try it with your agent

Pick your platform, copy the prompt, and paste it to your AI agent — it sets up MultiMail and builds the whole flow. Nothing to fill in.

1. Read https://multimail.dev/llms.txt, connect the MCP server, create a free inbox, and set up a verified sender. 2. Connect to Salesforce with my credentials, then use Salesforce Flow or Apex triggers on Opportunity, Task, Event, EmailMessage, and Contact activity changes to detect active deals where no customer reply or rep follow-up has happened within the cadence window. 3. For each open Opportunity, review the related account, contacts, recent emails, calls, meetings, notes, next steps, objections, promised dates, and stage, then decide whether a follow-up is due. 4. Draft a personalized follow-up sequence that references the actual conversation history, the prospect’s stated priorities, unresolved questions, and the agreed next action; avoid generic “just checking in” language and schedule timing based on deal stage and last touch. 5. Run all messages in MultiMail gated_send mode so the assigned rep reviews and edits before anything sends; ask me only for Salesforce credentials, approved sender/domain details, brand voice, and go-live approval.

What you get

Every Deal Gets Follow-Up

No more prospects falling through the cracks. The AI monitors every active conversation and drafts follow-ups on schedule, regardless of rep workload.

Contextual, Not Generic

Follow-ups reference specific topics from the actual conversation — the pricing question from Tuesday, the integration concern from the demo. This shows prospects you were paying attention.

Rep Control Over Messaging

Gated send oversight means reps approve every outgoing message. They can refine tone, add personal touches, or adjust the ask — the AI handles the first draft, not the final word.

Consistent Follow-Up Cadence

Define your follow-up schedule once and the AI enforces it consistently across every deal. No more guessing when the last touchpoint was.


Recommended oversight mode

Recommended
gated_send
Sales emails directly impact revenue and represent your brand to prospects. Gated send lets AI handle the time-consuming drafting work while reps maintain full control over what reaches the prospect. This prevents tone-deaf or poorly-timed messages from damaging deal relationships.

Common questions

How does the AI know what to reference in the follow-up?
The AI reads the full thread history using MultiMail's get_thread endpoint. It extracts discussion topics, open questions, and commitments from prior messages. Your AI model uses this context to generate follow-ups that feel like a natural continuation of the conversation.
Can I set different follow-up cadences for different deal stages?
Yes. Your AI agent can apply different follow-up rules based on tags, deal stage, or conversation signals. For example, post-demo follow-ups might trigger after 2 days while post-proposal follow-ups wait 5 days. Tag emails with deal stage metadata to drive the logic.
What if the prospect responds before the follow-up is sent?
Your agent checks for new inbound messages before sending. If the prospect has replied, the follow-up is cancelled automatically. The agent also clears any pending follow-up drafts from the approval queue to keep things clean.
Can I limit the number of follow-ups per prospect?
Absolutely. Configure a maximum follow-up count (e.g., 3 attempts) after which the agent stops and tags the thread as 'no response - sequence complete'. This prevents aggressive outreach that could damage your brand.

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