Hello Twitter! For my first post, I thought I'd share the slides of a talk I've recently given at a large tech company and institutional investment funds on qualitative aspects of enterprise software investing and the way to identify the quality companies
Since I can't give you all the talk, some more detailed thoughts are also in this blog post which helped spur the ideas in the deck and the talk I gave around it.
So let's unpack some of these thoughts: 1) Business model guides strategy - this basically is the premise that bottoms up, product led models tend to move horizontally quicker than top down, direct sales models; examples include Atlassian, Elastic, Datadog, etc
This is not to say that Salesforce or Workday or Anaplan with traditional top down models don't move horizontally, far from the case (see CRM vacuuming up the SaaS industry), but they go vertical for longer because of high CAC strong retention needed to make the model work
2) Neither top down nor bottoms up is a better business model, what matters is alignment of cost structure. The concept here is making sure the company's CAC and sales velocity matches the steady state retention and average ASPs that they're pursuing
The examples I used, ServiceNow and Twilio both have aligned cost structures but you can see NOW spends much more on upfront CAC because they have lower steady-state churn and higher ASPs vs Twilio which employs a more rapid sales velocity to close more deals w/ less CAC each
3) Switching costs take multiple forms - classic switching costs are things that are strategic top-level company decisions (i.e. adopting a CRM), they house a ton of data, typically have specific admins or users trained on them and take lots of time to implement, hard to rip out
New switching costs have to do with customer love, ease of use, and integrations - they enable the customer to do something much faster and easier and ingrain themselves in the customer workflow which produces a high cognitive load to then switch; these are harder to evaluate
An example would be productivity software, if you use Asana, a product must either be cheaper (which is hard if you're on free version) or must be 10x better to cause you to switch to say Notion or Trello, because you already understand the UI and everything just works
4) Distribution in enterprise software is one of the most powerful things - establishing a good distribution engine cements a product lead as that engine lowers CAC, brings in more customers, and spins the flywheel allowing for more R&D and S&M to further cement a lead
An example is Salesforce, their product has a release cadence of once per quarter while Dynamics365 is agile and daily, by many accounts the core CRM product of Dynamics is better; however CRM has an army of consultants & SIs that get professional services work and rev share
They are literally selling Salesforce's CRM for them because it benefits the SI as well; Salesforce then built out integrations & an app store to broaden the product horizontally to attack multiple use cases further augmenting its product in customer workflows, lowering churn
Once this distribution engine is built, Salesforce buys or builds new "Clouds" like Mulesoft and injects them into the distribution engine immediately increasing revenue with a decrease in CAC if Mulesoft was to pursue alone, this model is replicable for many other verticals
Atlassian does something similar except built the distribution engine up through primarily website traffic, user communities, and evangelism and then used that attention to buy Hipchat, Bitbucket, OpsGenie, Trello to throw into that distribution engine and grow
Effectively both bottoms up and top down models are utilizing distribution to expand the surface area with customers in a FCF efficient way which then spurs a flywheel effect going forward as well
End/ All this is why I think enterprise software companies have some of the best business models in the world but understanding these concepts mentioned above is necessary to tease out the quality from the pack
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They built the 1st product within a different startup, bootstrapped to $300k ARR before taking any funding, and reached multi-million ARR on only $2.4M
Mark Leonard of Constellation Software is media shy so when he speaks I listen multiple times. This didnt fail.
Talks through vertical market software, capital allocation, growing talent from within, culture, incentives, and investing in network of people buzzsprout.com/832150/5135959
Given Constellation's niche focus on vertical market software, Mark prefers to promote from within to preserve culture but also knowledge compounding within this niche
He says if CSU were to expand beyond or become very big in one vertical, he would probably hire from outside
Keeps business units to small teams because communication overhead expands exponentially based on each new node's connections added to the previous group
If BUs became bigger, decision making would become more centralized vs preserving agility now
Spurred on by the podcast between @collision & @patrick_oshag I continue to think one of the most fun things about studying public companies is the broader learnings you can use to apply to company building at the earlier stages, 👇🏾
Salesforce is the best model to study in terms of how to leverage a direct sales team, build a ecosystem of developers on app marketplace, SIs/consultants getting paid to distribute your product and how to use cash flows of a mature product to expand TAM through M&A
The main thing that impresses me about Salesforce is it’s a massive distribution model, and same goes for Atlassian which kinda flipped some aspects of the model on its head (build community, developer love, product led growth) but also still leverage mature cash flows to expand
Anaplan's FQ1 report was our first look at how SaaS businesses have been affected by Covid-19, 10% billings growth not all attributable to Covid but certainly impacted.
Some good learnings on how they're tweaking top down sales model to deal that I'll expand upon in this thread
Before getting into some of the transcript, I just wanna say hopefully multiples of public software businesses will show entrepreneurs and investors that the public markets do indeed think long term. PLAN just reported 10% YoY billings growth and still trades at 17x LTM rev!!
While going public certainly does have significant operational burdens, it helps the brand, grants easier access to capital and brings investors who truly value the long-term. These are valuable arrows to have in the quiver while trying to grow market share