Stop Leaving Money on the Table: Pricing, Packaging & Profitability for MSPs
Presenters:
V
M
Thursday 14 May
20:00
4:00 PM · 59m
America/New_York
MSPs love saying they want to grow. But most price like they're scared of their own invoice.You discount too early. You package too vaguely. You sell support instead of outcomes. Then every new client feels like a margin hostage situation, and you wonder why.Kyle Christensen, Co-Founder of Empath, is dropping into the OpenMSP community to break it down.What we're covering: Why most MSP pricing problems are actually positioning problems How weak packaging creates scope creep before the deal is even signed Why your stack matters way less than you think How to stop selling a pile of services and start selling clear business outcomes (the kind that are easy to sell, and easy to sell a lot of) This isn't theory. It's the stuff that shows up on your P&L, your service desk, your sales calls, and your sanity.If you're tired of being busy, growing, and somehow still wondering where the money went, come hang out. Worst case, you walk away with one pricing tweak that pays for the next year of your stack.
BEST PRACTICESBUSINESSMSPMSP BUSINESSMSP STRATEGYPRICING
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On a five-person desk, reported deployments show $78,000 to $130,000 in annual direct labor savings, roughly 30% fewer escalations, and 15% to 20% better SLA compliance. Broader MSP adoption data adds ticket handling time cut by 45% and five to 12 points of margin, all from reclaimed capacity rather than headcount cuts.
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Most MSPs start with AI features inside their existing PSA, RMM, and ticketing systems rather than standalone products. Common categories include AI ticket triage, alert correlation, scripting assistants, and AI-native all-in-one platforms like OpenFrame that run intelligence across the whole stack.
Where Should an MSP Start With AI?
Start with a readiness assessment, not a tool purchase. Confirm your ticket history is clean and your RMM, PSA, and monitoring systems connect. Then pick one high-volume, low-risk workflow, usually ticket triage, and pilot it on internal tickets before any client sees it.
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