AI spots declining usage patterns and drafts personalized health check emails. Customer success managers review before every send.
Customer success teams only react to problems after customers complain — by which point the relationship is already strained. Proactive outreach catches issues early and builds loyalty, but identifying which customers need attention and crafting personalized messages does not scale without AI assistance.
MultiMail's AI agent analyzes usage metrics to identify customers showing declining engagement, then drafts personalized health check emails offering assistance and resources. Gated_send ensures customer success managers review every outreach to maintain relationship quality and strategic alignment.
The AI agent monitors customer usage data — API calls, login frequency, feature adoption, support tickets — to identify declining engagement patterns.
Accounts showing sustained usage decline (e.g., 40% drop over 30 days) are flagged for proactive outreach with specific context about what changed.
Using send_email, the agent composes helpful check-in emails that reference specific usage changes and offer relevant assistance without being pushy.
With gated_send, each health check email enters the CSM's approval queue. They add personal context, adjust the offer, and approve when ready.
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.
AI catches engagement declines weeks before customers reach out with complaints, giving your team time to intervene constructively.
Each health check references the customer's specific usage changes and offers relevant resources — not a cookie-cutter 'just checking in' message.
Gated send ensures customer success managers add personal context and strategic awareness. The AI handles volume while humans handle nuance.
Track which health check outreaches lead to re-engagement versus continued decline. Optimize messaging and timing based on save rates.
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