Audience and member management
Add and update members, apply and correct tags, and keep the list structured, with changes shown first.
Email quietly outperforms half the paid budget, and it still gets managed in stolen hours: list hygiene postponed, segments built by hand, campaign reports skimmed once and never compared to anything.
The Mailchimp connector turns email back into a managed channel. It links the AI you already use, like Claude, ChatGPT, or Copilot, to your Mailchimp account through Mad Fish Elements, with typed operations for audiences, members, and campaigns, plus a full passthrough for segments, tags, templates, automations, reports, and e-commerce data. Ask what the last send did. Build the segment the next send needs. Keep the list clean enough to deserve its results.
Connect your account, and your AI reads the whole email operation: audiences and their growth, members with their tags and activity, segments and what defines them, campaigns with their full reports (opens, clicks, unsubscribes, and the e-commerce revenue attached where tracking is on), templates, and automations.
The questions that keep email honest become sentences. "How did the last three sends compare?" returns the trend, not three separate report pages. "Which segments actually click?" ranks them. "How fast is the list growing, and where from?" reads audience growth by source. And the channel-mix question email always wins finally gets asked: on the same Gateway, "put email revenue next to what we spent on paid this month" is one pass.
With Write access and your approval, your AI runs the operation, not just the reports:
Add and update members, apply and correct tags, and keep the list structured, with changes shown first.
Describe the audience in a sentence and get the segment built: engaged non-buyers, lapsed customers, the webinar cohort. The targeting work that postponed sends stops postponing them.
Create and manage campaigns and work with templates through the API, drafts first, sends remaining a deliberate human step.
Surface the long-unengaged, the role addresses, and the duplicates; archive or tag the batch you approve. Deliverability is downstream of this chore, and now the chore is cheap.
In practiceThe session before every send: you ask, "How did the last monthly newsletter do against the three before it?" Your AI returns the trend: opens steady, clicks down, unsubscribes flat. You ask, "Which links carried the clicks?" The product section did; the blog roundup did not. You say, "Build a segment: opened any of the last three sends but has not purchased in 90 days." Shown, approved, built. The next send targets people showing interest without recent purchase, informed by what actually got clicked. The hour of report-reading and list-wrangling took nine minutes, and the decisions got better, not just faster.
Trend answers replace one-off report skims.
Targeting described in a sentence, built in a minute, ready before the copy is.
Hygiene on a schedule, so deliverability and open rates stand on a clean base.
Revenue per send beside paid spend, so the cheapest channel finally shows up in budget conversations.
"Compare the last four campaigns: opens, clicks, unsubscribes, revenue."Mailchimp
The trend as a visual report, not four report pages.
"Build a segment of engaged subscribers with no purchase in 90 days."Mailchimp
The targeting built from a sentence, on your approval.
"Which subscribers have not opened anything in a year? Tag them for the re-engagement flow."Mailchimp
The hygiene batch, shown and shipped on approval.
"How is list growth trending, and which sources drive it?"Mailchimp
The audience answer behind every future send.
"Put email revenue this quarter next to paid social spend."Mailchimp · Meta
The channel-mix answer email usually wins, on live numbers.
Email stops being the channel run in spare moments. Reports arrive as trends, segments build themselves from descriptions, and hygiene happens because it costs a question instead of an afternoon.
For marketing teamsClient email programs are high-margin when managed and embarrassing when neglected. Run reporting, segmentation, and hygiene across client accounts from one connection with per-client permission walls, and put email's revenue in the same client report as the paid work.
For agenciesAsk in chat and share the dashboard without building exports or taking screenshots.
The last N sends on every metric that matters, revenue included. Built for the pre-send review.
Growth, sources, engagement distribution, hygiene flags. Built for the monthly list check.
Email revenue beside paid spend. Built for the budget meeting email never used to attend.
The charts do the talking: line for send-over-send trends, bar for segment comparison, donut for growth sources. And when your leaders or clients want these anytime, the Data Visualization add-on turns your reports into always-current dashboards they open from a link. Ask in chat; share the dashboard.
Email's scoreboard is mercifully short. Open rate trends attention; read it send over send, never in isolation. Click rate trends interest, and which links carried it. Unsubscribes price each send's aggression. Revenue per send, where store tracking is on, turns email from a cost line into the profit line it usually is. List growth by source feeds every future send. And engaged share of list is the hygiene number: how much of your audience is actually alive. The habit: trend the last four sends before every new one, and sweep the list monthly. Ten minutes, twice a month, and email runs like the channel that quietly outperforms the paid budget. Because it usually is.
Day one: connect the account and read the trend. "Last four campaigns: opens, clicks, revenue." One chart replaces four report pages; day two: read the audience. "List growth this quarter, by source." Day three: run the hygiene sweep. "Subscribers with no opens in a year." Tag the batch for re-engagement on approval. Day four: build one segment from a sentence. "Engaged in the last 90 days, no purchase." Use it for the next send; day five: schedule the rhythm. "Before each send, refresh the trend report; monthly, the audience health board." By Friday, email runs like the channel it is: sends informed by the last send, a list that earns its numbers, and targeting that keeps pace with ideas. The channel that outperformed quietly starts reporting loudly.
Pair Mailchimp with Shopify where revenue tracking makes every send accountable in dollars. Add HubSpot or Salesforce to keep contact truth aligned with the CRM. And put email beside Meta in the mix report, because email usually wins and deserves the room.
It will not hit send for you. Campaigns are drafted and managed with approval, and the send itself stays a deliberate human act, because an email cannot be unsent. It will not buy, scrape, or import lists from anywhere; it manages the audience you built. It will not inflate metrics; reports come straight from Mailchimp and reconcile with what you see there. And it will not touch accounts you did not connect.
Access is set per person, not per account, so Read seats see everything and change nothing while Write seats create and edit with your approval flow in front of every change. Delete access goes only to people you trust to clean up, and many teams start read-only, check answers against the platform, then widen access as the audit trail earns it.
You choose the level of human review and can change it at any time, while every action records what changed, when, and who approved it. Per-user access means Elements never stores your Mailchimp password, and your data is never harvested or resold.
Plans, account limits, and the multi-client Agency plan are on the pricing page .
It can draft content into campaigns and work with your templates, in your voice, as drafts for human review. Most teams pair it with their editorial pass; the connector guarantees the draft is grounded in what past sends actually did.
Yes, through the full API surface: automations, e-commerce revenue on reports where store tracking is connected, templates, tags, and segments, via typed operations plus passthrough.
It will shrink the number nobody should brag about and protect the ones that matter. Archiving the never-engaged improves deliverability for everyone who actually reads you, and every batch is yours to approve.
No. Your AI acts only with the permissions you set, and changes follow the review level you choose. Read-only seats cannot change anything, because the approval flow is the product working as designed.
Your team can use Claude, ChatGPT, and Microsoft Copilot, while other AI tools can likely connect when they support MCP, the open standard for linking AI assistants to outside tools.
No. Your data stays yours, so nothing is harvested and nothing is resold.
The teams winning with AI are not handing their accounts to a black box; they keep the strategy and delegate the hands-on-keyboard work, while approvals and an audit trail make it safe to move fast. Connect the account you already have through the Gateway and ask the question you would normally build a report to answer.
Your first 14 days are free. Add your card to start, and cancel before the trial ends to pay nothing.