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Forecasting is sometimes done by dragging the mouse based on many assumptions, because it’s hard to predict the future. One question that keeps coming up when speaking with early stage entrepreneurs when it comes to funding, is what metrics the company needs to hit to raise seed/series A/B etc: What’s a good conversion rate?
What’s more compelling than big talk is to show exactly how you will reach those millions—what information about your company do you have that’s made you forecast those kinds of sales? 100,000 unique visits/month to our network of online sites. 0.22% average conversion rate. 5% monthly churnrate.
What’s more compelling than big talk is to show exactly how you will reach those millions—what information about your company do you have that’s made you forecast those kinds of sales ? 100,000 unique visits/month to our network of online sites. percent average conversion rate. 5 percent monthly churnrate.
I’ve talked before about the metrics you need to know and track when you are running a subscription business, but there are really only three things you can do to move the needle of growth: reduce cancellations (churnrate), increase average revenue per user (ARPU), and increase the number of people who signup. Reduce churn.
Your forecasting process is much more accurate. In a SaaS or subscription software business, you can predict your churnrate and new business closings to determine your growth rate. When you have a recurring revenue business model, you rarely miss your monthly or quarterly numbers by more than 10-20%.
Since I see a few common patterns of mistakes, I thought I'd add to the LTV literature and point out the top three reasons many investors roll their eyes when they see entrepreneurs present inflated, poorly constructed LTVs: 1) Your churnrate is understated. A monthly churnrate of 1%?
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