Contact and company management
Create and update records, fix fields, and keep the database coherent, changes shown first.
Teams choose Mautic for the right reasons: open source, self-hosted, no per-contact ransom. The trade has always been operational: more knobs, more admin screens, and automation logic that lives in whoever built it.
The Mautic connector pays down that trade. It links the AI you already use, like Claude, ChatGPT, or Copilot, to your Mautic instance through Mad Fish Elements. Your AI reads and manages contacts, companies, segments, campaigns, emails, and forms, and handles the operational verbs that keep an instance healthy: segment membership, do-not-contact status, points, and sends. Owning your automation stack stops costing extra attention.
Connect your instance, and your AI reads the whole machine: contacts with their fields, points, and activity; the companies they roll up to; segments and who is in them; campaigns and their structure; emails with their performance; and forms with their submissions.
The operational questions become sentences. "Who entered the onboarding campaign this week?" "Which segments are growing, and which are stale?" "How did the last three sends perform?" "Which contacts hit the lead-score threshold this month?" The instance that answered only to its administrator answers to the team.
Context compounds on the Gateway: Mautic beside your CRM and your ad platforms means "did the nurture sequence actually move people to sales" is one conversation, not a data pull from three systems.
With Write access and your approval, your AI operates the instance:
Create and update records, fix fields, and keep the database coherent, changes shown first.
Add and remove contacts from segments on the logic you describe, so the targeting layer stays current instead of drifting.
Manage campaign membership and structure through the API, with the automation's actual behavior readable in plain language before anyone changes it.
Do-not-contact status managed explicitly and auditably: DNC is one flow where a clean trail is not optional, and here every change carries a name and a time.
Adjust scoring where your model requires it and manage email sends through the API, drafts and approvals first, as everywhere.
In practiceThe session every inherited Mautic needs: the person who built the automations left, and the new marketer asks what the machine actually does. You ask, "List active campaigns with their triggers and what they send." Your AI returns the map in plain language. One campaign emails a segment that stopped growing a year ago. You ask, "Who is still in that segment, and when did they last engage?" Forty contacts, mostly dormant. You say, "Remove the dormant ones and flag the campaign for review." Shown, approved, done. The machine has an operator again, and the operator did not need six months of tribal knowledge.
The automation logic readable in plain language, not archaeology in admin screens.
Membership maintained on described logic, so campaigns fire at the people they were built for.
DNC handled explicitly, auditable to the contact and the timestamp.
The reasons you chose Mautic, kept; the operational tax, mostly gone.
"Map our active campaigns: triggers, segments, and what each sends."Mautic
The automation logic in plain language, for the team and the new hire.
"Which contacts hit 50 points this month without entering the sales-ready segment?"Mautic
The scoring gap between the model and the follow-up.
"Add everyone who submitted the demo form to the fast-track segment."Mautic
Membership updated on your logic, shown and approved.
"Set these six unsubscribed replies to do-not-contact."Mautic
The compliance verb, explicit and audited.
"Did contacts from the nurture campaign become CRM opportunities?"Mautic · Salesforce
The automation-to-pipeline answer across both systems.
The self-hosted choice stops depending on one person's memory. The team reads the machine, maintains the segments, and keeps compliance clean, all in conversation, all on approval.
For marketing teamsMautic clients chose control and need help operating it. Manage instances across clients from one connection with per-client permission walls, keep every automation documented by asking, and make DNC hygiene a standing deliverable.
For agenciesAsk in chat and share the dashboard without building exports or taking screenshots.
Campaigns, triggers, segments, and sends in plain language. Built for onboarding and audits.
The last N emails on the metrics that matter. Built for the pre-send review.
Growth, engagement distribution, DNC counts, stale segments. Built for the monthly instance check.
The charts do the talking: line for send trends, bar for segment comparison, table-first for the automation map. And when your team wants 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.
A healthy instance reads in a few figures. Segment growth and decay: which audiences are alive, which are museum pieces. Send performance, trended send over send, not admired one send at a time. Points distribution: whether the scoring model is finding real intent or inflating everyone. Campaign entries and completions: whether the automations move people or just hold them. And do-not-contact counts, with their audit trail: the compliance number that has to be boring. Read segments and sends weekly, scoring monthly, DNC whenever it changes. An instance watched this way stays operable by whoever asks. That is the whole point of making the machine conversational: the numbers stop belonging to one admin's dashboard.
Day one: connect the instance and map the machine. "List active campaigns with triggers and sends." Read your own automation in plain language. Day two: check the segments; "Which are growing, which are stale?" Day three: run one hygiene pass. "Dormant contacts in the oldest segment." Remove the batch on approval. Day four: verify compliance; "Show recent do-not-contact changes." Confirm the trail reads clean; day five: schedule the rhythm. "Weekly, send the segment health check; before sends, the performance trend." By Friday, the instance has an operator again: its logic documented by asking, its segments true, its compliance auditable. The self-hosted choice keeps its freedoms and loses its tribal-knowledge tax. That was the trade you wanted when you picked Mautic.
Pair Mautic with Salesforce or HubSpot to read nurture-to-pipeline end to end. Add WordPress where forms live on the site, and GA4 to see what nurtured contacts do when they arrive. Owned stack, one conversation.
It will not administer your server. Hosting, upgrades, and cron jobs stay with whoever runs the box; this connector operates the marketing surface through the API. It will not send without deliberate approval; it will not touch DNC casually; that flow is explicit by design. And it will not reach instances 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 Mautic password, and your data is never harvested or resold.
Plans, account limits, and the multi-client Agency plan are on the pricing page .
Yes, that is the normal case. It connects to your instance's API with the credentials you provide, wherever you host it, and Elements adds per-person permissions on top.
It can read them into plain language, manage membership and structure through the API, and stage changes for approval. Big automation redesigns become reviewable proposals instead of risky admin-screen surgery.
Deliverability follows your sending infrastructure and list hygiene. The connector helps with the second: engagement questions, stale-segment cleanup, and DNC discipline, all on approval.
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.