Let's try to understand why technology product companies have historically been non-sequential in QoQ growth. Some call it cyclicality, some called it nature of the business. I will try to clarify a few things in this thread.
To understand this, you have to look at how software as evolved over last decade or two. We have moved on from bulky software that needed on-premise installations to cloud today. Naturally, revenue realization practices have changed too.
Historically, license sell for a large bulky on-prem software used to result in non-sequential growth for technology product companies. Revenue realization used to be jerky. One Q will have huge revenue, while other could be poor.
Hence, it was advised to look at YoY numbers. That's about license sales. Annuity revenue or ARR is another part of the revenue which primarily depends on license sales. Hence, ARR, despite seemed steady, used to fluctuate as well.
SAP used to be such bulky software which transitioned from transaction to application & launched its cloud/fiori solutions. Clients no longer needed to buy entire software even if they use only 10% of the features. They buy only feature they need. Hence transaction to application
Once cloud offerings stabilized, we started seeing subscription based offerings. Where key metric is PUPM - Per User Per Month. What is your revenue per user per month? That's key metric for cloud based subscription solutions.
The margin profile does not change with change from license sale to subscription model. However, something interesting happens. It smoothens out the jerky revenue realization that license sales used to bring in.
However, it also means that it takes time for a company to determine - what is my average PUPM? So guidance on revenue is not very easy to provide. Analysts get it wrong precisely here. They think Subscription revenue should be similar to license revenue. It won't happen!
Subscription model is a very high gross margin business. Which also means as we move to newer software consumption models, ARR segment will slowly come down. Since there is no on-prem maintenance, I can negotiate my ARR.
Doesn't mean the maintenance contracts completely go way. Just that the ARR revenue subsides a bit, subscription revenue takes over & fills the gap. Allows wider reach, volume profile improves. Margin profile remains the same.
Then comes - "Pay as you consume" which a tad different from Subscription. Subscription frontloads the revenue, Pay as you consume doesn't necessarily. This model makes it even harder for companies to give any stable revenue guidance during the transition phase.
Pay as you consume mainly caters to software sizing/infra needs of the client. The pay as you consume brings the seasonality into picture. For e.g. Retail clients will contribute more to revenue during festive times, contribute less during non-festive times.
Pay as you consume is AKA PPU - Pay Per Use. This means a custom makes fixed price purchase with you initially, but may or may not do any new business. This brings predictability for customers.
Now let's see how this will reshape the domain. Since costs are front loaded in subscription & PPU model, new companies find it extremely difficult to generate +ve cashflow. Unless they have significant parallel source of money, new companies will find it hard to survive
Existing legacy companies transitioning to Subscription/PPU have a customer base so their cost frontloading is not an issue. So the domain shrinks! Focus on companies that have already smoothened out SaaS/Cloud subscription revenues. You will make max money there
Customer stickiness improves if subscription pricing is affordable. Think of this - you have both netflix & prime subscriptions. You may not watch both daily, but have you unsubscribed either? Customers tend to ask for discounts in lean period & stay with you.
The way we consume enterprise software is changing with emergence of DevOps - CD/CI methods that results in near zero downtimes during upgrade. Customers don't even come to know their software is being upgraded.
But this transition also means that new entrants find it even more difficult to sustain in absence of positive cashflows or funding. Low-Code No-Code software are primarily sold as subscriptions & companies that have a stable/mature pricing will keep growing significantly more.
In my last startup, we built an enterprise components for on-prem system. We found it extremely challenging to make a sale. We then moved on to Subscription model but the paltry cashflows prevented us from moving forward.
Then we were asked for PPU & we weren't prepared. We spent months trying to bring out a sustainable pricing model & this tread is an outcome of my learnings from my startup & tech/product experience I have had so far. Hope you enjoy this!
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Use of AI to predict trends isn't really new. However, many still question on how realistic AI can model the trend. Well, it depends on the algo of course. But something came up in my reading & I was intrigued to dig deeper! It is about #SHEIN
Ask any female if they have heard about an app called Shine, and the answer will be an instantaneous yes. The app has taken fashion world by storm & the infatuation is simply explosive. To be honest, I too know Shein, well of course, for obvious reasons 😄
Shein in some numbers:
* Accounts for 28% of the US fast fashion sales
* Revenue has grown 100% each year since last 8 years
* Outpaced H&M, Zara & many more big brands
*Design to production time is just 3 days!
* Adds 1000s of inexpensive SKUs daily!
* Daily app download 650k
A lot of you requested me to post a thread on #LTTS. I did not find time, neither had motivation to do since it is a complex business to cover via something like Twitter thread or even a newsletter. Here I am posting only some abridged views.
I hold Both #LTI & #LTTS from IPO. I am an ex-LT/LTI so have a bit of sneak peak into company as well. Last 2+ years have been terribly bad for LTTS. Not because they did something wrong, but because of external factors.
ER&D space is a bit different than traditional IT. The revenue realization cycles are longer. Contracts are stickier but hard to come by as well. Unlike IT, ER&D is close to sectoral automation at frontline. IT plays role via software, but ER&D is much close to real automation
I am super bullish on this space. We covered #Newgen & its context for growth previously, but the story is only emerging. There is not much coverage on the low-code space yet. People do understand tech/IT, but low-code is new to people in India, but globally it isn't the case.
SAP recently acquired AppGyver which is in "No-Code" segment. However, SAP acquired it as a value addition to its "Low-Code" offerings. So that's a clear sign that SAP is very bullish on "Low-Code" segment. We did discuss briefly about it in initial thread.
Lot of folks asked me how to exit a commodity stock. Here is one small reckoner list: pl note these are not exhaustive reasons I exit a commodity stock.
1. Follow commodity prices on LME spot & future contract values 2. Usually, LME warehouse stock levels give you hints much in advance. If warehouse stock is rising then check two things - spot price & capacity coming on stream
3. Follow historical cycle & correlate with total capacity available. Is the spread of spot and future widening? 4. When commodity cycle peaks, companies run out of capacities. Look for capacity utilization insights given by managements.
After getting good feedback on yesterday's thread on #routemobile I think it is logical to do a bit in-depth technical study. Place #twilio at center, keep #routemobile & #tanla at the periphery & see who is each placed.
This thread is inspired by one of the articles I read on the-ken about #postman API & how they are transforming & expediting software product delivery & consumption, leading to enhanced developer productivity.
We all know that #Twilio offers host of APIs that can be readily used for faster integration by anyone who wants to have communication capabilities. Before we move ahead, let's get a few things cleared out.
So I have been studying this entire communication layer as its relevance is ever growing with more devices coming online, staying connected, and relying on real-time communication. Not that this domain under penetrated, but there is a change underway.
As per many publicly available research, The Communications Platform-as-a-Service (CPaaS) Market was valued at USD 4.54 billion in 2020 and is expected to reach USD 26.03 billion by 2026 and register a CAGR of 34.3% during the forecast period (2021 - 2026).