Migma AI - AI runs your email marketing. Better with every send.
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Migma creates full campaigns before you ask. It understands your goals and events, creates every email, personalizes and localizes it, and renders consistently across inboxes. It handles sending, preferences and compliance, then learns what drives revenue.
Replies
ClinicFrame
The line that stands out to me is that your first campaign should never be as good as your last. That learning loop is the real moat here, even more than the rendering work everyone is asking about.
My angle is the awkward one for it: I run email to a small, high-value B2B list in healthcare, a few hundred serious buyers rather than a consumer list. There a tone-deaf automated send costs a relationship I cannot re-earn, and the revenue signal comes back slow and sparse.
So, Adam, does the learning loop need consumer volume to work, or can it improve on thin data, where the win is one right email a month rather than a tuned high-frequency cadence?
Migma AI
@clemente_lopez1 No. Volume makes the loop faster, but it is not required.
For a small, high-value list, the useful signals start before opens or purchases: what you approve, edit, reject, who you choose to send to, and when you decide not to send.
Migma should become more conservative in that setting, not more autonomous. It prepares the campaign, learns your judgment, and you keep approval before anything goes out.
The goal is not more sends.
It is one email a month that sounds like you, lands at the right moment, and does not burn a relationship.
ClinicFrame
@adam_lab treating my edits and my skips as the training signal is the part that lands, because on a list this small those are the only signals I generate in a month anyway. Opens and clicks are too sparse to learn from.
The one that would decide it for me is the skip. If Migma reads a no-send as a real signal and not as missing data, it is learning my judgment instead of just my approvals. Does a repeated skip on a certain kind of prospect actually pull the model back, or does it only learn from what I let through?
Congrats on the launch - really cool idea and looks to be a very smooth product. I have to ask, if clients have all their contacts and operations inside another CRM (think Zoho or GoHighLevel) that currently send their campaigns, how does it work? My clients would be keen to keep their core CRM systems running without having to duplicate data into a specialized email tool.
Migma AI
@danielboardman Thanks, really appreciate that 🙌
Your clients can keep Zoho, GoHighLevel, or their current CRM as the core system. Contacts are imported or synced into Migma through native integrations, connected ESPs, or API/webhooks, depending on the setup.
So there’s no need to move the rest of their operations. Migma handles the campaign workflow, while the CRM stays the main source of truth.
Would love for you to try it with one of your client setups and tell us how the workflow feels.
How much does it actually learn between sends? Like if a campaign flops, does it adjust the next one right away or does it need a few cycles to figure out what works?
Migma AI
@talhakhalidmtk Nice question! Migma already has quality and deliverability standards built in from day one. On top of that, there's a layer that checks how your past campaigns performed, and it keeps getting sharper the more you send.
Fewer sends means less for it to learn from, so the real gains show up once you're sending consistently and it locks into your brand and audience.
Come give it a try 📬
Brew
Upvoted, good luck guys! 🇩🇰 🤝 🇸🇪
Migma AI
@philip_sorensen Thanks Philip! Let’s keep the big ones uncomfortable 😄
SendView
Super well thought out blend of email and AI. Really excited about this one. Congrats!
Migma AI
@greggblanchard Migma <3 SendView thanks a lot for your support.
Migma AI
@greggblanchard Thanks so much! Means a lot coming from someone who gets both sides of it.
Come take it for a spin.
The visual editor paired with real brand email examples is a smart combination. Starting from a strong reference and still being able to tweak every element feels much less limiting than a one-shot generator.
Migma AI
@adriancia Thanks 🙏 You landed on exactly why we built it that way. One-shot generators feel like magic for about ten seconds, then you hit the thing you want to change and you're stuck regenerating and praying.
Starting from a real reference gets you 90% there, and keeping full control of every element means the last 10%, the part that actually makes it yours, is a quick tweak instead of a fight.
Would love for you to take it for a spin and see how it feels on your own brand.
Congrats on the launch. The preflight checker that catches rendering issues across email clients and fixes them with one click is such a good detail, that cross-client mess is usually the most painful part of building emails. Curious how you're handling something like Outlook's rendering quirks under the hood, that engine has famously been a nightmare for HTML email for years.
Migma AI
@felipe_messias Thanks 🙏 And yeah, Outlook is the exact reason Zinn exists.
The short version: you're not writing HTML, you're writing Zinn, and our engine compiles it down to whatever each client needs to render it right. Outlook's quirks get handled at that compile step automatically, so the person building the email never has to think about them. Outlook 2003 included.
I'll keep the how-it-works under the hood to ourselves 😄 but that compile layer is the whole reason we built our own markup instead of patching raw HTML forever.
Best way to judge it is to throw a nasty layout at it and open the result in Outlook yourself.
Hello,
Congrats for the launch. 🎉
Since Zinn is a proprietary markup language, how do you ensure LLMs consistently generate valid Zinn instead of drifting toward standard HTML as campaigns become more complex?
Migma AI
@rogerdemello Thanks 🎉 Good question, this is exactly the failure mode you'd worry about.
Two things keep it honest. The models are trained on Zinn specifically, so it's the default they reach for, not something they translate into after thinking in HTML. And there's a validation step on the way out: anything that isn't valid Zinn gets caught and corrected before it ever becomes an email, so drift can't silently ship. Complexity doesn't sneak past because the output has to pass that gate every time.
I'll keep the deeper mechanics to ourselves 😄 but that's the shape of it: trained to speak Zinn natively, and validated so it can't drift into something else without getting caught.
This is interesting. What specifically about it increases open rates by 5x?
Migma AI
@rich_sun It's not one thing, that's the honest answer. A few pieces stack up.
First, the quality of the email itself. Our engine isn't spitting out generic templates, it studied thousands of real high-performing emails, and it scores every one it makes across five things: tone, visual, emotional pull, clarity, and how well it carries your brand's values. So what goes out is already built to convert, not just to look nice.
Second, deliverability. The same email renders identically across Gmail, Outlook, Apple Mail, dark mode, mobile, all of it, and it actually lands in the inbox. An email that reaches people and looks right everywhere gets opened and clicked way more than one that breaks or hits spam.
Put those together and the lift is real. Best way to believe it is to run one of your own campaigns through it and watch the numbers.
The auto-generated campaigns that actually respect brand voice instead of sounding like generic AI sludge is a really nice touch. Whoever built the calendar-aware logic clearly thought through the boring details, and that shows.
Migma AI
@mutugantan82154 Really appreciate that, especially coming from someone who'd notice 🙏
The calendar logic was one of those "boring but critical" pieces we didn't want to cut corners on.
Go poke around the campaign calendar if you haven't yet, curious what you'd throw at it