Today scaling up a startup isn’t just about the product but primarily about the Business Model. In short, a business model is a way a company monetizes over time.
How many Business Model exist? Think about two simple examples. A startup has created a software. That software can be sold for a monthly fee. This kind of business model is called “subscription-based” because to make it work you have to have customers willing to renew the subscription each month. Therefore, you have to find ways for your customers to keep their interest in the product high.
Another example is the “Freemium” business model. In other words, some companies have two versions of a product: free and paid. They use the free product as a hook to get new potential customers. Once those customers get used to the product, they make money by convincing users to become paying customers.
Why is the business model relevant at all? First, based on the business model a company will “behave in a certain way.” From the previous example, a subscription-based company with no Freemium will find right away strategies to get paying customers. Instead, a Freemium based company will focus more on funnel optimization to convert users into customers.
Second, it tells you what metrics to look at. For instance, if you have a software service with a monthly subscription, metrics as CAC, LTV, ARR are crucial.
How many business models can you find in the entrepreneurial world?
The answer should be: your creativity is the limit.
However, the most used are:
- Bricks and clicks business model
- Collective business models
- Cutting out the middleman model
- Direct sales model
- Distribution business models, various
- Fee in, free out
- Sourcing business model
- Freemium business model
- Pay what you can (PWYC)
- Value-added reseller model
- Auction business model
- All-in-one business model
- Chemical leasing
- Low-cost carrier business model
- Loyalty business models
- Monopolistic business model
- Multi-level marketing business model
- Network effects business model
- Online auction business model
- Online content business model
- Online media cooperative
- Premium business model
- Professional open-source model
- Pyramid scheme business model
- Razor and blades model
- Servitization of products business model
- Subscription business model
Short Definition: figure out how to make money, now!
As we’ve seen a business model is a way for a startup to create value. Once you’ve defined the business model, you need a set of metrics to measure how’s the startup doing overtime. That is called a key performance indicator (or KPI). It is a key term in the jargon of the startupper and one of the first terms you’ll hear in the startup world.
Short Definition: can you just tell me if we’re making money?
This is short for a minimum viable product. That is a product that is good enough to satisfy early customers. The real aim of this phase is to start getting feedback from the first users and understand how to improve the product to get it to the next phase.
As Techopedia explains the MVP has to have the following characteristics:
- It has enough value that people are willing to use it or buy it initially.
- It demonstrates enough future benefit to retain early adopters.
- It provides a feedback loop to guide future development.
This is crucial because the MVP isn’t intended as a way to reach out a predetermined audience. Quite the opposite, the MVP is supposed to give you the right amount of feedback that allows you to create a scalable version of that product. Once you get there it means you have entered the process for long enough to have reached the so-called “Product-Market Fit.”
Short Definition: Hey, would you be willing to give me a dime for this stuff?
How do you know the MVP you’ve put together is ready to scale up? Venture capitalist, Marc Andreessen, and Growth Hacking founding father, Sean Ellis help us assess that.
Marc Andreessen says:
There is an incredibly wide divergence of caliber and quality for the three core elements of each startup — team, product, and market.
By analyzing the patterns that we’ve been observing in his experience as a venture capitalist, the third aspect, the market is the most important.
In fact, Marc Andreessen refers to it as Rachleff’s Law of Startup Success (formulated by Andy Rachleff):
The #1 company-killer is lack of market.
Andy puts it this way:
- When a great team meets a lousy market, market wins
- When a lousy team meets a great market, market wins.
- When a great team meets a great market, something special happens.
You can obviously screw up a great market — and that has been done, and not infrequently — but assuming the team is baseline competent and the product is fundamentally acceptable, a great market will tend to equal success and a poor market will tend to equal failure. Market matters most.
And he concludes:
The only thing that matters is getting to product/market fit.
Product/market fit means being in a good market with a product that can satisfy that market.
Sean Ellis, one of the founding fathers of a relatively new discipline, “Growth Hacking” which helps startups to scale up faster with a low budget and a rigorous “scientific process,” to test as many strategies as possible to figure out what work and what doesn’t.
Sean Ellis offers a simple metric to determine whether your startup is close enough to the product-market fit: the 40% rule. In other words, at least 40% of your customers must consider the product a must-have. They must be disappointed to know you’re withdrawing the product from the market.
Short Definition: Hey, would you keep paying for this stuff?
Short for Customer Lifetime Value, that is one of the KPI used by startups to assess whether or not they’re using the right strategy to scale up. In fact, the customer lifetime value tells you how much; on average, a single customer is paying for a product or service before he leaves. For instance, let’s say you sell software for a $10 per month fee. If customers on average keep paying the monthly fee for about six months, then your LTV is $60.
This number is significant because it also tells you how much can you spend on marketing budget to acquire new customers. For example, if you’re spending $100 on Facebook ads to get one customer that has an LTV of $60, then you’re on the right path to kill your startup. That is why once you’ve figured your LTV you can assess the right CAC.
Source: How To Calculate Lifetime Value
Short Definition: Are you doing enough to keep me onboard?
Short, for customer acquisition cost, that is tied to the lifetime value of a customer. In short, those two metrics have to be used in conjunction. Customer acquisition costs can take into account variable and fixed costs. For instance, for a SaaS (Software as a Service) the support is also a vital aspect of retaining a customer. Think of a customer that has activated a trial of a software. During that trial, the customer has activated the service, but the startup didn’t earn any revenue yet. The support, training and other costs associated with retaining the customer until he/she pays the service are all costs that need to be taken into account.
Case study: Imagine this scenario, a SaaS business often starts with a free trial. Let’s say advertised with a Facebook ad. The startup has spent $50 on ads to get a user onboard. The user has activated the trial, which will last fourteen days. Before the fifteenth day, the startup won’t make any revenue. Additional costs, such as training and support might be also incurred, for a total of $40. How much did the startup pay to acquire the customer and make a revenue?
You have to take into account the Facebook ad ($50), the training cost ($20) and the support cost ($20). Therefore, the startup has spent $90 just to get a single paying customer. Computing the CAC is vital to make sure the startup business model is sustainable in the long term. In fact, often startups neglect hidden costs of acquiring customers.
Take content marketing. It is a great way to get new customers. In fact, this strategy can be effective for the whole sales funnel: from awareness to acquisition retention. However, to produce great content, it takes quite some time. If you’ve spent two days drafting a how-to that will convert two customers, you have to compute those two days as a CAC. Thus, if two days of your work are worth, let’s say $200, that is your CAC.
Short Definition: How much are you spending to get someone onboard?
That is a fictional and ideal process through which a potential customer goes through before he becomes a loyal customer that hustle your product or a brand ambassador.
In short, according to the sales funnel before someone becomes a customer, there are several steps involved. Just to mention a few steps to take:
- Initial contact – 0 %
- Qualification – 10 %
- Meeting – 30 %
- Proposal – 60 %
- Close – 100 %
When you first contact someone out of the blue. That person doesn’t know you, neither trusts you. Why then would buy anything for you? Therefore, selling something is out of the question, unless you get very lucky. Also, asking for someone to buy right away it is almost like asking the person to marry you at the first date, nuts! In addition, it also shows that you don’t care enough to have spent some time researching what that person might be looking for. In short, you’re not creating value first!
Thus, in that stage rather than thinking about closing, you have to start building trust and get to a second date. Once the person agrees you’re improving your chances of success. The main point here is that the sales funnel helps you think in steps, rather than “I sell you this.” Instead, going through the whole funnel is like going from a coffee with a potential romantic partner, to finally getting married.
How do sales funnel look like?
Here’s a classic example from mailmunch.co:
Before you get too in love with the sales funnel, keep in mind that is only an abstraction to help you out create a sales process. Therefore, that is a mean to an end, which is to understand you can’t get out and give a shout to anyone to buy your product. First, you might want to bring a potential customer through the steps necessary to build enough trust to start a business relationship. In fact, for many salespeople, the sales funnel becomes a sort of religious thing to follow with orthodoxy. In reality, potential customers might take unpredictable journeys. However, it is good to start with a model that helps you being consistent.
Short Definition: Would you marry me, but first let’s have a coffee?
There’s one thing that makes startuppers – especially those working in SaaS B2B – have nightmares during their dreams: the churn rate. That is a ratio that tells you how many customers are leaving.
The formula to compute the churn is the following:
(Customers beginning of month – Customers end of month) / Customers beginning of month
For instance, if you had ten customers at the beginning of January, and seven at the end of the month, your churn is 30% (10 – 7 / 10).
The churn rate is one of the KPI to look at on a daily and weekly basis to make sure the business is sustainable in the long run.
Why do customers churn? Here a few ideas from saasmetrics.co:
- Your customer is simply out of budget and can’t afford the subscription fee;
- Your customer can’t see/get the value proposition of your product anymore;
- Your product or service doesn’t meet the expectation or lacks quality/features;
- Your product is good, but customer service is not;
- Your customer has chosen to change your product to a competitor’s product;
- Your B2B customer is bankrupted, and the company doesn’t exist anymore;
- Your B2B customer has been acquired, and the buyer uses a different service.
Short Definition: Please, don’t leave me! I promise this time it’ll be different!
The conversion rate is another obsession of startuppers, marketers, and anyone that is trying to build a business online and offline. There’s merely the number of people that take a specific action which can benefit your business in some way. Therefore, when people behave by following the intended goal you set that is how you convert.
There isn’t a single conversion rate or metric but as many of what you’re trying to measure. For instance, if you have a blog, which makes money with affiliate marketing, then you might want to estimate how many visitors on a page click on the affiliate link. If you get 1,000 visitors and 100 clicks on the affiliate link, the click-through rate is 10%.
What is a reasonable conversion rate?
That highly depends upon the kind of conversion, industry, and call to action you’re trying to measure. For example, wordstream.com shows an average conversion rate for Google AdWords across all industries of 2.70%:
What can you do to improve the conversion rate?
- A/B testing CTAa
- Pay per click campaigns
- social media campaigns
- landing pages
- email marketing
- up-sell or cross-sell
Short Definition: Measure everything!
In the Theatre world, a “Theatre Angel” is someone that takes the risk to put money to produce a show. Making a hit in a Theatre show is quite unpredictable and risky. That is why the same term was borrowed by the Silicon Valley throughout the 1970s to call early-stage investors in startups “Angel Investors.” In fact, an angel investor invests in a startup when it isn’t even making a dime, and it might never make a buck. Yet, if you get lucky enough to make a hit as an angel investor, you might earn as much as 280x your initial investment.
How do you become a successful angel investor?
There isn’t a framework for that. At times a successful angel investment might be due to you liking someone, rather than understanding a business. For instance, Jeff Bezos was one of the first to invest in Google, back in 1998, as an angel investor. He bought Google’s company’s stock at four cents a share. When Google went public, with an IPO in 2004, Jeff Bezos had as much as 3.3 million stocks. We don’t know how much of those stocks he still holds. Yet at the time those stocks would be worth at least $280 million. Based on the initial investment of $1 million that is a 280x!
How did Jeff Bezos decide to invest in Google?
According to Auletta’s book – Googled, the end of the world as we know it – Bezos said in an interview:
I just fell in love with Larry and Sergey
Therefore, “love” might be as much of a factor to make you a successful angel investor, together with a lot of liquidity and a good amount of luck.
Short definition: It’s all about love!
Born in Paris in 1899, George Doriot moved to Boston where he after getting an MBA, he also became an investment banker and professor at Harvard Business School. When the World War II erupted, George Doriot was called in the rank of lieutenant colonel as R&D for the military planning division. Once he returned from the WWII, in 1946, he founded American Research and Development Corporation, the first publicly owned venture capital firm.
The firm was founded with the primary aim of allowing soldiers back from WWII to invest part of their money in private ventures. George Doriot with his company was among the first to accept money from private investors other than wealthy families. That is how the phenomenon of venture capital was born!
In short, venture capital is a form of private investing where the “venture capitalist” rarely invests in an early stage startup and more often in a “growth business” that in some ways has already shown some growth potential. The angel investor is often a private individual placing a small stake in a highly risky and very early stage startup. The venture capitalist is often part of a firm and puts his money in a company that has already been growing in the past.
According to CB Insights in 2017, there were 11,042 deals and $164.4bln invested globally. The most significant piece of the pie comes from the US, with a $74.5bln and Asia follows with half of the deals but almost as much invested venture capital ($70.8bln). Europe is much smaller with $17.6bln.
Among the top twenty venture capitalist worldwide The New York Times lists:
1. Bill Gurley (invested in GrubHub, OpenTable, Zillow)
2. Chris Sacca (invested in Twilio, Twitter)
3. Jeff Jordan (invested in Tilt)
4. Alfred Lin (invested in FutureAdvisor)
5. Brian Singerman (invested in Stemcentrx)
Keep reading here.
Short Definition: Growth is all that matters!
If you’re thinking about that device used to cure premature babies in the hospital that is not too far from what that is in the startup world. In fact, in some cases, new wannabe startuppers don’t trust themselves enough to be ready to challenge the furious Mr. Market on their own. That is why they go to a place, called incubator, which main aim is to bring the startup from zero to whatever objective they had set up.
In short, the incubator offers a set of services, that comprises small office space, mentoring and free services in exchange for an equity stake. For instance, if you take the Incubation Program, from Y Combinator (one of the top startup incubators in the world) it consists of the following:
Twice a year we invest a small amount of money ($120k) in a large number of startups.
The startups move to Silicon Valley for 3 months, during which we work intensively with them to get the company into the best possible shape and refine their pitch to investors. Each cycle culminates in Demo Day, when the startups present their companies to a carefully selected, invite-only audience.
But YC doesn’t end on Demo Day. We and the YC alumni network continue to help founders for the life of their company, and beyond.
Short Definition: I’ll give you a candy, you give me equity in return!
When a private company becomes available to the public through stock markets, that is called Initial Public Offering. In short, anyone from the public – average Joe included – can buy a stock of your startup for the price the startup gets listed on the day of the IPO. That is the dream of many startups. In fact, the stories of startup founders that make a successful exist (meant they monetize through an IPO) have inspired many wannabe startuppers. One of the most recurring dreams for startuppers is to imagine one day to ring the bell at the NASDAQ’s opening just like Mark Zuckerberg did back in 2012!
An ICO or Initial Coin Offering has the same purpose of the Initial Public Offering: find capital for the startup. In other words, in exchange for cryptocurrencies startups give part of their equity to the market. The ICO is different from the IPO because cryptocurrencies right now are underregulated. Therefore, this kind of process allows a startup to get financing way faster. As you can imagine this process bypasses the regulation also makes it a riskier business.
In fact, a startup getting ready for an ICO will issue its coin by using the Blockchain technology. Those coins will be given to the investors, while the startup gets the financing. What’s next? Either those coins could be used as real money, buy goods, or just as a speculative medium based on “wait and see.” If that startup becomes successful, then the coin might be worth much more than the initial investment.
When you break an NDA things can get ugly! In fact, NDA stands short for a non-disclosure agreement.
A non-disclosure agreement (NDA), also known as a confidentiality agreement (CA), is a legal contract between at least two parties that outlines confidential material, knowledge, or information.
One common belief among wannabe startuppers is “make a great product and customers will come!” This belief is flawed. In fact, often it isn’t the best product to win, but the one that has better distribution.
That is why distribution matters so much. In short, product development and distribution have to walk hand in hand to allow your startup to gain “traction” or speed up the growth process. Also, for each growth stage, you have to figure out the strategies that work and the ones that don’t. In fact, while some approaches might work in an initial growth stage, they might stop working in the next phase of growth.
According to Gabriel Weinberg, CEO, and founder of DuckDuckGo (a search engine that focuses on privacy), there are 19 channels to focus on to gain traction:
This is one of the most popular business models used by startups to get traction. On the one hand, the basic product is offered for free. Instead, a more advanced version of the same product will be instead offered at a premium. That is how the freemium business model works.
Although it makes sense to use the freemium business model to grow a business, it isn’t always that easy to implement it the right way. In fact, assuming you have plenty of free users, it is not guaranteed a profit from the paying ones. One example of Freemium model that works is MailChimp, an email marketing software that allows you to build a mail list and automate part of your email marketing effort.
MailChimp’s story is a bit different from the Silicon Valley stereotype. In fact, MailChimp was founded by Mr. Chestnut, which interviewed by NY Times:
If you want to run a successful tech company, you don’t have to follow the path of “Silicon Valley.” You can simply start a business, run it to serve your customers, and forget about outside investors and growth at any cost.
As reported in the same article, MailChimp had 12 million customers back in 2016 and $280 million in revenue in 2015 and it was about to reach $400 million in 2016.
MailChimp makes it very easy to use its service for free for the first 2,000 mail subscribers. The service works quite well and once you get to the point of reaching the subscribers limit it’s very hard to switch. Of course, this is based on my personal experience as MailChimp hasn’t made its metrics publicly available.
Short Definition: Users are all that matters!
Imagine you’re setting up a clothing shop window on a busy street of Manhattan. The way you set that up will depend whether people will buy more or less from the store. How do you make sure that windows shop is effective? There’s one thing you can set up another windows shop on the same street. You make that window shop identical but for one variant (for instance, you place a pair of red shoes, instead of a pair of blue ones). The one that brings more customers will be also the one to pick. That would be a real-life A/B test. In other words, that is a control experiment (where you only change a variable and keep the rest unchanged, to “control the experiment’s environment”).
Running an A/B test in real life would be too expensive, if at times not impossible. However, digital data allows companies to run any kind of A/B test experiments way faster. In fact, today companies like Google, LinkedIn, and Facebook run thousands of A/B test experiments each day.
One example is comScore which increased the conversion rate of its product pages by 69% compared to the original version by running several variations:
Short Definition: Data-driven experiments for business
That is a process that borrows elements used in gaming and brings it to the startup world. One example of frameworks borrowed from the gameplay industry and brought to the startup world is the “Hook Model” by Nir Eyal in his book Hooked.
I covered this topic on the blog, I suggest you read this:
As explained on Wikipedia:
Growth hacking is a process of rapid experimentation across marketing channels and product development to identify the most efficient ways to grow a business.
For an in-depth understanding of Growth Hacking read this:
Search Engine Optimisation is a marketing strategy based on using a set of tactics and best practices to rank higher in search engines page results. Why does it matter at all? When you publish content on the web, that is when things start getting complicated. In fact, billions of people each day get online. It is also true that almost as much content gets created.
In the noise, it’s easy for your content to be forgotten. One way to avoid that is to make sure your content follows a set of guidelines which makes it easier for search engines to find it, and rank it. In fact, search engines like Google have billions of little crawlers (a software that looks at web pages) that at each time go through the web pages comprising the visible web. Those crawlers main aim is to form an index of web pages. Once formed this index, Google then has to rank those pages. It does so through a set of signals. One, of course, is content quality, based on how users behave when consuming it. SEO helps you do just that.
In this article from SEO Hacker I explain how to use SEO for your online marketing strategy:
Short Definition: Hey Google, get me leads!
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