Twin treats Mailgun as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.
The page below shows the practical automation patterns for Mailgun: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.
Common starting points include prospect outreach via mailgun, sync mailgun data to your crm, enrich leads before sending. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.
Twin is most useful when the most common Mailgun pain point is stale data—sending from one place, logging in another, and missing follow-ups when records don't sync. Twin agents write delivery and open-rate data back to Google Sheets in the same run that sends the emails, so records stay current.