SaaS Modeling- ARR to Revenue

I have a question for anyone with software modeling experience on modeling software company revenues:

Typically you model out (quarterly) new logo, upsell, churn, downsell for ARR and then bridge from that forecasted ARR to revenue in two ways 1) revenue % of LTM ARR that converts to revenue or 2) BoP ARR /4 + % of net new ARR 

 the second way makes sense, as it's assuming a quarter of the ARR in the beginning of the quarter + some percentage of net new ARR converts to revenue. However when you do this math for some companies the number is funky - sometimes negative, sometimes >25% (in my mind this metric has to be 0 - 25%, given no more than 25% of net new ARR in the quarter should convert to revenue)

The first way seems to work better in practice, but I can't seem to wrap my head around what that metric means, like my above explanation - anyone have extensive experience with software modeling concepts?

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Assuming you're doing this on a GAAP basis, ARR/12 = monthly revenue. If you're determined to build the model quarterly instead of monthly, you would have to assign some discount for quarter-end ARR depending on how much the company is growing (i.e. if the company is flat ARR/4 should eseentially be quarterly rev, if it's growing 25% QoQ you have to account for the fact that some of the September ARR is from people who weren't around in July and/or August)

If you're trying to model cashflow and the contracts are annual-upfront, your inputs would be annual contract value from all new customers + renewing customers + incremental upsell 

 

Admittedly not fully understanding the question but a few tidbits if helpful:

  • ARR can be modeled either as ARR (live/implemented/billable) or CARR (contracted but not necessarily live)
  • Accordingly, when modeling, you need to consider how you're incorporating new contracts (i.e., new bookings)
  • Option 1: Model everything on an ARR (live) basis --> In this view, you would typical add a new booking to your rollforward/snowball on a lag (e.g., 1 quarter lag or 2 quarter lag) to give the account time to implement and ramp --> To compute revenue with this approach, you'd typically look at average of beginning of period and end of period ARR (e.g., BOQ and EOQ /4); if you're concerned with forward or back-weighting within the quarter, you could do something like 1/3 * beginning and 2/3 ending, etc. (you can test your weightings by dragging your rollforward backwards (if possible) and comparing to historical actual revenue vs. your computed ARR) 
  • Option 2: Model everything on contracted basis --> In this view, you would add new bookings immediately (no lag) --> To compute revenue, you'd typically apply a % of end of period ARR (or something similar) that you'd derived using historical averages (similarly could drag your rollforward backwards and compare to historical revenue to try to see a reasonable % to use) (generally this view is more difficult to manage and conceptualize)
 

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