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§ Agent · Mailchimp

The Mailchimp data agent that acts the way you would.

It keeps an eye on your Mailchimp data alongside your CRM and revenue source, on a schedule you set or whenever fresh data lands. When something needs attention, it tells you, or handles it the way you'd want.

D
DefiniteAPP9:14 AM · #marketing-alerts
⚠️ Welcome series driving 4.2x more conversions than promo campaigns, but promo gets 73% of send volume

Over the last 30 days, your 3-part welcome sequence converted 312 subscribers at $18.40 blended CAC. Your weekly promo campaigns converted 74 subscribers at $61.20 blended CAC, reconciled against Stripe revenue.

Review & approve Dismiss
Mailchimp Campaigns + Email Engagement Events + Subscribers · reconciled to Stripe · audit log

How an agent works

An agent watches one thing and acts on it. Not a workflow, just a standing watch that usually does nothing and acts the moment it should.

◄ repeats on the schedule you set ►

You stay in control

An agent does what you'd do, and only what you've authorized.

The same trusted numbers

It acts on the same governed metrics as your dashboards, and every action is logged and traceable.

You approve anything that writes

It alerts and recommends on its own; anything that changes data is yours to approve.

Try it on a test channel first

Point a new agent at a throwaway channel and watch its judgment before it touches anything real.

No false alarms

It remembers what it already flagged and waits before acting again, so it won't alert you about the same thing twice.

What you can put an agent on

AttributionACROSS YOUR SOURCES

Tie your email engagement to actual revenue

It joins your Mailchimp campaign clicks and conversions against your CRM and payment data, so you see which sends actually drove revenue, not just opens. When the CFO asks for blended CAC by channel, email has a real number.

CampaignEmail Engagement EventSubscriber
List Health

Catch audience decay before it tanks deliverability

When your bounce rate climbs or unsubscribe velocity breaks its trend, it tells you which campaigns triggered the spike, how many subscribers you lost, and what segment they came from, so you can fix the content or the targeting before your sender reputation takes a hit.

AudienceUnsubscribe EventCampaign Delivery
Engagement

Surface the campaigns that stopped working

It watches open rates, click rates, and delivery metrics across every campaign. When a sequence that used to perform well drops below its own baseline, it flags the shift with the numbers and the affected audience segments, so you know where to look.

Email Engagement EventCampaignCampaign Delivery
Custom

Run any Python it needs to get the job done

Beyond alerts and write-backs, an agent can run arbitrary Python, so it can do whatever the task actually requires: call an API, kick off a job, reshape the data, or wire into your own tooling. The action space is yours to define.

Why not just build it yourself?

You could rig one of these with a cron job and a Slack webhook in an afternoon. The watching is the easy part. Here's what you'd own forever, and don't, here:

  • The cross-source join: not one tool's data, but it reconciled against the rest of your stack
  • A trusted, consistent metric: the same number your dashboards use
  • The investigation into why, when something fires
  • A full audit trail of everything it did
  • The upkeep, when the schema drifts or the script breaks at 2am

The data it works from

Every Mailchimp object, modeled and query-ready the moment you connect.

Campaign
marketingengagement
Audience
marketingcustomer
Subscriber
marketingcustomer
Email Engagement Event
marketingengagement
Campaign Delivery
marketingengagement
Unsubscribe Event
marketingengagement

It runs on your real Mailchimp account (test sends, suppressed contacts, messy tags and all), not a tidy demo.

Where it acts

Slack

A message in the channel you choose, with the context and a button to act on it.

Email

A summary in the inbox of the people who need to see it.

Webhook

A payload to your own systems, to wire the agent into whatever you already run.

Warehouse write-back

A flag written back to your warehouse for everything downstream to pick up.

Hand off to Fi

Kick the question to Fi to investigate the why and propose the fix.

MCP

Expose it to your own agents and tools over MCP, and drive it from your stack.

Run it in your own VPC or fully self-hosted. Everything it does is pure SQL and Python you can inspect.

Build your agents with Fi

Fi is your AI analyst. It helps you build and customize everything in Definite, including the agents that watch and act.

Fi

Your AI analyst. Ask questions in plain English, and let it help you build and customize everything in Definite, including your agents.

Meet Fi →

Agents

The watchers and actors. Once you've built one, it runs on its own, keeping an eye on what matters and acting the way you would.

Autonomous agents →

Get started

  1. 1Connect Mailchimp, and the sources it needs to reconcile against. Synced and modeled in an afternoon.
  2. 2See the numbers tie out to what you already trust.
  3. 3Put an agent on one thing you can't afford to miss. Fi helps you build it.
§ FAQ

Common questions

You set the schedule, and it also re-checks whenever fresh Mailchimp data lands. Each agent watches the one thing you point it at, nothing else.
It alerts and recommends on its own. Anything that writes, whether to a tool, your warehouse, or a customer, is yours to approve. You can also point a new agent at a test channel first and watch its judgment before it touches anything real.
When something fires, it can hand off to Fi to investigate, drilling into the data it has across your connected sources to find what's behind the move, and showing its work.
Those report on Mailchimp in isolation, when you look. This watches continuously, reasons across Mailchimp plus your CRM and revenue data, and hands off to Fi to investigate why a sequence stopped converting, so you find out before the next send, not after.

Your answer engine
is one afternoon away.

Book a 30-minute call and watch us build your first dashboard live, with your own data.