The Lawyers' Marketer
A suite of AI tools for law firm marketing
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We help law firms find new clients using AI. Our tools span everything from SEO, ads, content, website optimization and backlinks.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Dude, it's close to 100% margin product. I'd say we're probably operating around 90% net margins when it comes to the sale.
90% net margins are achievable while OpenAI credits stay this cheap
AI wrappers running on current OpenAI pricing produce 90% net margins because inference is the only meaningful cost and it's currently subsidised. That window won't last — model providers are clearly running customer acquisition — so the time to capture margin is now, not in 18 months.
I'm literally looking at like okay if they have enough data and the cost per trial for example is low enough then we can do it based on that that's the ideal if it's not or if they're a very new app and they don't have big budgets then I'll look on clickthrough rates.
Use Cost-Per-Trial as the Proper Messaging Signal — CTR Only as a Budget-Constrained Proxy
CTR measures curiosity; cost-per-trial measures intent. When budget allows, Daphne optimizes messaging tests for cost-per-trial because a message that attracts clicks but not subscribers is a false signal. For early-stage apps with small budgets, CTR is the practical proxy — but results should be corroborated across at least two channels before treating them as directionally reliable.
There's a play for whatever you're stuck on.
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