Top SaaS Model Downloads of 2016
I started The SaaS CFO blog in April, and it has grown faster than I thought. Thank you to all who have visited my blog and provided feedback. With over 2,000 model downloads, what were the top SaaS model downloads for 2016? Below I recap the top SaaS model downloads of the year.
#1 – SaaS Financial Plan
With over 600 downloads, the SaaS Financial Model was by far the most popular download. No surprise as this gets you started with forecasting your SaaS business. I continue to make updates to the model here.
#2 – Headcount Forecast Model
People expenses usually make up most of the expenses of a software company. Therefore, it’s important to have a robust and flexible model to forecast headcount expenses and related benefits. I recently updated the model so that you can forecast multiple positions on one row rather than having a row for each headcount. This is helpful when scaling outer years.
#3 – Time to Profit Template
Economies of scale are so important for a SaaS company. This post walks you through how to calculate Average Cost of Service (ACS) and how this changes when you add more customers.
#4 – Sales Pipeline Conversion Model
If you know your sales conversion rates and time between conversions or even if you want to “what if,” this model moves a lead to closed opportunity through your conversion cycle. Want to close $2MM in bookings next year, find out how many leads and the time it will take to achieve this.
#5 – SaaS Revenue Forecast Model
Your SaaS revenue forecast is another area where a nice, detailed model will come in handy. I have ARR and MRR versions of this model. Enter churn assumptions, customer growth, and pricing to forecast your MRR and customer balances. I also added area to forecast your services backlog and burn.
Honorable Mention – Automated SaaS Revenue Waterfall Chart
For those who have created waterfall charts, you know that they can be a pain. With this model, I automated the waterfall chart so that you can easily explain your period over period changes. I spent quite a few hours creating this automation, and I think you will really like the insight provided by the chart.