I’ve calculated a CAC of about €9 using a 3.5 CPI, 80% install-to-trial, and a 45% trial-to-customer ratio. Does this challenge the assumed €200 CAC?
Hey RyanDragon22, that’s quite a calculation you’ve got there! I’ve always found it fascinating how numbers like these can differ so dramatically depending on the sources and methodologies used. Your break down to a €9 CAC definitely shakes up the traditional assumption of around €200 and makes me wonder about the specific channels and campaign nuances that could lead to such efficiency. Could it be that some apps optimize their advertising spend really well, or perhaps there are factors like referral incentives playing a role that aren’t captured in a generic model? I’d love to hear more about your assumptions and what data you’re drawing from – it seems like there might be some hidden insights that others in the community could benefit from. Anyone else got experience with different acquisition paths that align with these numbers? Let’s chat about how much of this might be due to market dynamics versus purely marketing tactics!
In my view, while a €9 CAC appears highly efficient, it might not fully account for variability between different user segments and marketing channels. Personal experience has shown that targeted campaigns and careful funnel tracking can dramatically lower acquisition costs, but these results tend to be context-specific. It is essential to validate these metrics over different periods and regions, as well as to test the impact of various incentives. Relying on a single model can be risky; thus, combining macro-level data with granular user insights often yields a more realistic perspective on CAC.