My friend, Rouhin, sent me this post by a rather angry fellow, which he and I both had a good chuckle out of, yesterday about how VC is a scam. In one part about startup growth, the author writes that VCs only care about businesses that double its customer base.
The author’s argument isn’t completely unfounded. And it’s something that’s given the industry as a whole a bad rap. True, growth and scalability are vital to us. That’s how funds make back their capital and then some. With the changing landscape making it harder to discern the signal from the noise, VCs are looking for moonshots. The earlier the stage, the more this ROI multiple matters. Ranging from 100x in capital allocation before the seed stage to 10x when growth capital is involved. But in a more nuanced manner, investors care not just about “doubling”, unilaterally, but the last time a business doubles. We care less if a lemonade stand doubles from 2 to 4 customers, than when a lemonade corporation doubles from 200 to 400 million customers, or rather bottles, for a more accurate metric.
After early startup growth
Of course, in a utopia, no businesses ever plateau in its logistical curve – best described as it nears its total TAM. That’s why businesses past Series B, into growth, start looking into adjacent markets to capitalize on. For example, Reid Hoffman‘s, co-founder of LinkedIn, now investor at Greylock, rule of thumb for breaking down your budget (arguably effort as well) once you reach that stage is:
- 70% core business
- 20% business expansion – adjacent markets that your team can tackle with your existing resources/product
- 10% venture bets – product offerings/features that will benefit your core product in the longer run
And, the goal is to convert venture bets into expansionary projects, and expansionary projects to your core business.
Simply put, as VCs, we care about growth rates after a certain threshold. That threshold varies per firm, per individual. If it’s a consumer app, it could be 1,000 users or 10,000 users. And only after that threshold, do we entertain the Rule of 40, or the minimum growth of 30% MoM. Realistically, most scalable businesses won’t be growing astronomically from D1. (Though if you are, we need to talk!) The J-curve, or hockey stick curve, is what we find most of the time.
The Metrics
In a broader scope, at the early stage, before the critical point, I’m less concerned with you doubling your user base or revenue, but the time it takes for your business to double every single time.
From a strictly acquisition perspective, take day 1 (D1) of your launch as the principal number. Run on a logarithmic base 2 regression, how much time does it take for your users (or revenue) to double? Is your growth factor nearing 1.0, meaning your growth is slowing and your adoption curve is potentially going to plateau?
Growth Factor = Δ(# of new users today)/Δ(# of new users yesterday) > 1.0
Why 1.0? It suggests that you could be nearing an inflection point when your exponential graph start flattening out. Or if you’re already at 1.0 or less, you’re not growing as “exponentially” as you would like, unless you change strategies. Similarly, investors are looking for:
ΔGrowth Factor > 0
Feel to replace the base log function with any other base, as the fundamentals still hold. For example, base 10, if you’re calculating how long it takes you to 10x. Under the same assumptions, you can track your early interest pre-traction, via a waitlist signup, similarly.
While in this new pandemic climate (which we can admittedly also evaluate from a growth standpoint), juggernauts are forced to take a step back and reevaluate their options, including their workforce, providing new opportunities and fresh eyes on the gig economy, future of work, delivery services, telehealth, and more. Stay safe, and stay cracking!
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