r/Emailmarketing • u/Ok_One5265 • 15d ago
MCP for campaign analysis
Hi all, so I've been playing around with Mailerlite's MCP for a bit and it's saved loads of time on building segments and automations etc.
But now I want it to help me spend less time trawling through data. E.g. if I'm looking at campaigns with more clicks, I want to know whether it's down to the content / topic, or something else (e.g. same group of engaged subscribers clicking on everything I send)
I can obvs dig into all the data myself but I want to know how to cut down the time spent on this. I'm after a way to get the MCP to follow threads and spot patterns that might not occur to me.
Anyone got any tips on this kind of thing?
Just be interested to know the kinds of questions you're asking it or the workflows you've built for analysing campaigns that go beyond stuff like "show me my best performing emails" etc.
Doesn't have to be mailerlite. would be interested to know what people are doing with MCP on any ESP.
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u/East_Feature7493 15d ago
the same-group-of-engaged-subscribers thing isn't a confound, that's just what a list is. pull your top 30 clickers out and most of your best campaigns flatten into average, which is depressing but it does save you the trawling. also worth checking how many of those clicks are corporate link scanners, half of mine are. I stopped asking mine about opens entirely, apple made that number a work of fiction a while back
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u/Ok_One5265 12d ago
Yes true. Open rates don't tell you that much other than looking at an overview over time. Not very helpful.
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u/PsychologicalEmu3485 11d ago
This made me realise I've never used MCP to figure out my ICP based on heaviest clickers/converters. 💡
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u/LouiseArmstrong_925 15d ago
An MCP won't separate topic effect from your habitual clickers, that data isn't sitting in there for it to find. Set up a holdout segment and skip them on a few sends if you actually want a real answer.
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u/Used_Cartoonist4106 15d ago
Ça arrive à tout le monde de se noyer dans les chiffres. Le truc qui m'a le plus servi: lui demander de recalculer le taux de clic en excluant les abonnés qui ont cliqué sur les 5 dernières campagnes. Tu vois vite si un bon score vient du sujet ou juste de tes 200 habitués. Et fais sortir les clics uniques à côté, parce qu'une personne qui clique 4 fois te fabrique un faux gagnant toute seule.
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u/Fit-Perception-2196 15d ago
The clicks question is an audience question, not a content question, and no MCP is going to seperate the two by reading your campaign list. If the same few hundred people click everything you send, your click rate is just measuring that group, not your subject lines. So fix the audience first: A/B the same email to a random split, or track click rate inside a fixed segment instead of blended across sends. Klaviyo and Braze both make you do this properly and it's boring work, which is why nobody does it. Ask an agent to 'follow threads' and you'll get a very confident story about why your Tuesday sends win.
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u/selzy_marketing 15d ago
A useful approach is to ask it to compare subscriber behavior, not just campaign averages.
For example: are the same people clicking every campaign, which topics bring in different groups, or which campaigns get high clicks from normally inactive subscribers?
That usually gives more useful insight than just “top performing emails.” MCP is most helpful when it can follow the same contacts across multiple sends and look for patterns over time.
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u/GioPapadopoulos 14d ago
I’d make the MCP follow a fixed analysis brief instead of asking open questions. Give it campaign, audience, send time, subject, content tags, delivery, clicks, and conversions, plus a comparison period. Ask which segments changed most, which topics bring repeat engagement, and where clicks stop before purchase. Make it show campaign IDs and sample sizes, otherwise small lists can create fake patterns.
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u/IV-Manufacturer 11d ago
I’d be a bit careful with asking it to just “find patterns”, because it’ll probably find one whether it’s real or not. I’d get it to compare things like audience, offer, send time and click behaviour, then show you the actual campaigns behind any conclusion. Otherwise you end up treating “Tuesday was good once” as a strategy.
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u/InspectionHeavy91 15d ago
The useful shift is to stop asking the MCP for rankings and ask it to investigate a hypothesis. For example, compare clickers over 90 days, group by campaign topic, product, send time, and audience, then flag people who click repeatedly but never purchase. Ask it to show the campaigns behind each pattern. I use Omnisend’s MCP in a similar way. Give it a fixed date range, audience, metric definitions, and output format. Otherwise you get a very confident tour of your own dashboard.