Moving Average

How to leverage Moving Averages to confirm a SaaS company’s traction?

On Tuesday I had a chance to talk to 23 entrepreneurs who were selected to participate in the Microsoft Accelerator Jury selection for cohort 4 at the Seattle Accelerator.

The companies were all advanced stage (ready for a post seed or Series A round) with an average of $1.5 Million ARR (Annual Recurring Revenue).

Moving Average
Moving Average

One of the things that got hard this time was to evaluate a company’s traction, given that all of them said their “market was very large”. The teams mostly looked strong, so there was little a Jury member could do in 15 min of presentation + 15 min of Q&A, so we had to look at momentum in the short term. Which in itself is bizarre, given that these were long term bets, but humor me for a while.

So, I asked a few of the companies to outline their 3 month moving average of traction. Most did not know what that meant.

Moving averages (MAs) are one of the most popular and widely used technical indicators. Moving averages smooth the traction data to form a trend following indicator (# of customer signups, monthly recurring revenue, etc.)

A Simple Moving Average (SMA) is figured using the monthly ARR for a specified period, such as 6 months.

If prices are closing lower, the SMA points down. If prices are closing higher, the SMA points up.The average “moves” because every day the oldest day is dropped off as the current day’s information is added.

A criticism to the SMA concept is that each day’s action carries equal weight.

Exponential moving averages (EMAs) are similar to SMAs except that more weight is given to the latest data.

One thought on “How to leverage Moving Averages to confirm a SaaS company’s traction?”

  1. Interesting analysis. Mukund, I see you are reading a lot on equity markets these days. It is a very interesting space. BTW, I can relate to since I was an Equity Analyst once, and now doing a SAAS startup. 🙂

Comments are closed.