Case study

Keeping Mailchimp in sync with Modiva

A look at how teams use Modiva to keep Mailchimp audiences current, manage campaigns and read reporting — and give AI agents scoped access — without building and maintaining a custom integration.

This is a representative example of the Modiva + Mailchimp workflow. Have a story to share? Tell us and we’ll feature it here.

The challenge

Email converts best when the list is clean and the send is timely. Keeping Mailchimp in step with the rest of the stack usually means:

• New signups reached Mailchimp through a weekly CSV import, so lists were always a few days stale and post-sale flows targeted the wrong people.
• Campaign results lived only in Mailchimp, so planning the next send meant switching tools and eyeballing numbers.
• AI assistants had no clean way to keep audiences in sync or pull last week's report.

The approach with Modiva

1. 1

   One connection, always in sync

   The team authorizes Mailchimp in Modiva once. Modiva stores only a scoped, encrypted token and resolves the account's data center automatically, so new signups can be upserted into the right audience the moment they happen — not on the next weekly import.

2. 2

   Audiences and campaigns over a unified API

   Instead of learning Mailchimp's Marketing API and its per-account data center, the team calls Modiva's typed tools to upsert members, tag on behavior, create and schedule campaigns and read reports. The same request shape works across every tool Modiva supports.

3. 3

   Draft-and-report for AI agents via MCP

   An MCP key exposes the same tools to AI assistants. An agent tags members from events elsewhere in the stack, keeps segments accurate and pulls last week's report — with scopes the team controls and can revoke.

4. 4

   Planning from evidence

   Campaign reports flow back into the team's own analytics, so open and click rates sit next to product metrics and the next newsletter is planned from what actually performed.

The outcome

• New signups land in the right audience in real time instead of via a stale weekly import.
• Campaigns and reports are managed through the same tools as the rest of the stack, not a separate dashboard.
• AI agents keep audiences in sync and pull performance data through scoped, revocable access.