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.
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"Better with every send" — this is the right framing. We run automated lifecycle emails and the hardest part isn't the first email, it's knowing when the 4th or 5th touchpoint actually moved someone vs annoyed them. Does Migma track downstream conversion signals (not just opens/clicks) to close that loop?
@rachid_abadli Yeah, and the "annoyed them" half is the part people forget to measure 🙌
Two directions. On the "moved them" side, we tie sends to real conversions, not just clicks. Connect your store and actual orders flow back in, so you see whether touch #4 led to a purchase, not just a tap. On the "annoyed them" side, we watch unsubscribes, spam complaints, and drop-off, so a touchpoint that's quietly burning goodwill shows up instead of hiding behind an okay click rate.
Put those together and you can actually see when the 5th email is pulling its weight versus when it's just noise. That's exactly the call lifecycle flows need and most tools can't make. Want to point it at one of your sequences and see where it flags fatigue?
email that improves every send is the dream 📩 congrats!! does it learn per brand?
@petrkovacik Yes, it uses your brand, metrics and your previous campaigns.
The localization piece is the part I'd lean on hardest — I send to prospects across German, French, Spanish and Dutch, and matching the language is where most generic tools fall down. When contact locale data is thin or missing, does Migma infer the right language/version from the list itself, or does it need a reliable locale field per recipient to route correctly? Curious how it fails safe when it isn't sure.
@podcast_ai This is the part I'd want to get right too 🙌 Migma uses a locale field when you've got one, but it doesn't fall over when you don't. It reads other signals on the list, things like country, the person's domain, past engagement, to infer the right language.
The important part is what it does when it isn't sure: it won't gamble and fire off the wrong language. It falls back to your default version rather than risk sending someone German when they read French. A safe default beats a confident mistake.
So thin data doesn't break it, it just leans on your fallback for the ones it can't place confidently.
@Boey honestly tempted. if I set one up I'd probably test it on a re-engagement email to a list that's gone quiet for 60+ days, since that's the case where I genuinely don't know if a punchier subject line helps or if the real issue is send timing. would be curious whether Migma treats those two variables (copy vs timing) as separate tests or bundles them into one experiment.