The FOMO on Network Effects


My conversations with Leonard Lee, Dr Michael Kollo and Adam Acar while recording the Wealthy Tiger podcast series has prompted me to revisit some old ideas about network effects


Specifically the impact of share of voice has on accelerating network effects and to what extent share of voice can help us forecast crypto adoption


We'll begin by exploring this idea of share of voice


Here is the Google Trends data comparing - among many things - Facebook, Instagram, TikTok and Bitcoin



As you can see Facebook has dominated share of voice for most of the past 2 decades


Love it or hate it. Be in no doubt. We love to talk about it


and for all the hype Crypto - in all it's forms - doesn't come close to dominating share of voice


So let's strip Facebook out of the equation



We now see Instagram dominates share of voice


Strip Instagram out of the equation and we discover, Bitcoin - powered by the crypto bubbles - is competing with TikTok as the emergent network effects story of the past 5 years



Now let's take a look at how that share of voice translates into network effects



We discover two things. When it comes to measuring network effects SMS is still the benchmark but TikTok is on track to be the new Benchmark if it can sustain its growth trajectory


and what about crypto?


Well we can see clearly, despite all the hype and all the money spent on PR by Venture Capitalists and early investors promoting Crypto as the next wave of disruption to capitalise on the power of network effects, it isn't... capitalising on the power of network effects


By any measure of the mathematics of network effects crypto adoption is slow by web standards



and, apparently slowing down compared to the early internet, at least prior to the 2021 crypto bubble




But is it?


Roll back the time clock to the early days of the web and we discover - once we adjust the numbers for the realtive scale of the web between 1995-2005 - we discover crypto user numbers track the online trading numbers



Source MIT - Online Trading: An Internet Revolution


In 2000 (about 10 years after the first online broker opened their doors) 9% of US Internet users had an online trading account


13 years after the first Bitcoin was mined we discover about 8% of US & Canadian Internet users are crypto users



Source


Now arguably crypto adoption lags Web 1.0 online trading adoption but, more importantly, this also suggests crypto is a niche product.


It appears to be attracting the same market that was attracted to online trading (Some would argue this is self evident)


and... 30 years on we discover that less than 20% of US internet users have online trading accounts


This discovery also suggests the size of the crypto market should be relatively easy to estimate


An assumption that is supported by the share of voice for trading apps vs TikTok



Now… where does that leave us in the grand scheme of things?


Well today there is an assumption Crypto is early in the adoption cycle


However the online trading adoption data suggests this may be false


If we remap crypto adoption curve to the 30 year online trading adoption curve we discover the potential market for crypto may have already achieved 50% adoption within its Serviceable Available Market in key markets like North America



Now dare I say that's something to think about...


At least until next time :)



Postscript:


In retrospect - despite all the media hype - this weak adoption trend was apparent within the first 12-18 months of the launch of Bitcoin


Which is to say by 2012 it was self evident Bitcoin was no PayPal 2.0 (ie it didn't solve a pressing problem in the world of digital commerce)


and this raises the question: How does Crypto compare to user adoption of mobile banking?


Well in the USA it took 13 years for user adoption of mobile banking to hit 50%


Meanwhile the adoption rate in China has been even faster


Today there is an estimated 1.9 Billion mobile banking users world wide


i.e over 6x the estimated number of crypto users


Suggesting the network effects of mobile banking look a lot like SMS and Facebook



Originally Published Spring 2022. What are we talking about today? Follow us on Twitter
Copyright Digital Partners Pty Limited 2012-2021