What else do I need to know about modeling to survive a case / model interview?

What else do I need to learn to crush a case / modeling interview for an early stage VC?

I just got done with a second round behavioral interview and they mentioned the next round will be a case / modeling exercise. I am going to learn the following:

---Calculating cap tables

---Metrics
------SaaS Metrics (contract length, average contract value, revenue concentration, churn, LTV, CAC, bookings growth)
------B2B Metrics (Seat count purchased by school, utilization % of seat count)
------B2C Metrics (users, time spent on product, stickiness ** (is there a metric for stickiness?)**

---Valuing companies (this is my biggest knowledge gap)
------Revenue multiples
------Public comps of companies that have raised similar amounts in the space
------When do you use something other than revenue, like projected revenue, to derive a multiple?

What else do I need to know? I didn't realize there would be heavy modeling for a company that is predominately Seed and Series A with a couple of series B investments, but they stressed on the interview that they are looking for people with strong modeling skills so I want to be sure I nail the next round.

Thanks so much as always. We're gettin there...

 

modelling tests don't really reinvent the wheel too much from what i've seen (willing to be proven wrong). it's basically, here are some numbers, maybe some assumptions, build me an LBO in 3hr from clean excel.

"After you work on Wall Street it’s a choice, would you rather work at McDonalds or on the sell-side? I would choose McDonalds over the sell-side.” - David Tepper
 

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