Reality of Bootstrapping

sasha uritsky

Aug 17, 2015

Going after investors? Do you know that less than 1 percent of startups actually raise VC (or angel) capital, which means that the vast majority are self-funded. Yet the main reason for it simply lies in the inability of most companies to find investors.

Bootstrapping, however, has several strategic advantages for your company's future growth. Perhaps the biggest is retaining the majority of shares and control over the strategy and direction your company is moving towards.

It also teaches financial discipline. Bootstrapping at the start helps to understand the importance of revenue and cash flow, as opposed to unabridged product development, and keeps you connected to your company's financial reality. Only when profitability increase do you then green-light new opportunities, increased risk-taking, and growth acceleration.

In reality, the founders are expected to be flexible. While entrepreneurs have certain intentions and philosophies when they are starting out, a hallmark trait for successful founders is the ability to adapt to changing environments and opportunities.

Sometimes, that means waiting a long time to generate the financial metrics that really matter, revenue and profit. By challenging your leadership team to focus on building the business organically and figuring out how to make the company consistently profitable on a model that can scale without VC capital, you make your company more valuable to future investors.

Interested in reading more? Check out our other blogs:

The Advantage of Social Engagement for Business, in Simple Words

Much is being said about social networks and their importance for businesses. The amount of analysis, explanations, and advice keeps on growing, while the matter is being investigated from every possible angle, real and imaginary.

As for me, the need for businesses to market and sell on social can be explained by a simple argument.

Here it is.

The principle advantage of social networks for a business over other mediums is in the social networks’ potential to build trust. Traditional marketing mediums, such as TV, newspapers, internet, radio, etc. are not designed to build trust. They are information channels, or scaling vehicles, or sales means, but their primary goal is not to build trust. Social networks, on the other hand, are exactly this - a trust building tools.

And herein lies their biggest advantage in today’s market. The endless variety of options consumers have and the ever growing dissatisfaction with traditional aggressive marketing methods, such as commercials or banners, means that creating trust between businesses and their audiences is now the most efficient way to attract customers. The way that guarantees long-term sustainability and growth.

This is, simply put, the reason for businesses to embrace the social.

When Big Data is not so big anymore

We are inundated with information. There is so much information around us they coined a special term - Big Data. To emphasize the sheer size of it.

It is, of course, a problem - to deal with a large amount of data. Various solutions have been created to address it efficiently.

At nmodes we developed a semantic technology that accurately filters relevant conversations. We applied it to social networks, particularly Twitter. Twitter is a poster child of Big Data. They have 500 million conversations every day. A staggering number. And yet, we found that for many topics, when they are narrowed down and accurately filtered, there are not that many relevant conversations after all.

No more than 5 people are looking for CRM solutions on an average day on Twitter. Even less - two per day on average - are asking for new web hosting providers explicitly, although many more are complaining about their existing providers (which might or might not suggest they are ready to switch or looking for a new option).

We often have businesses coming to us asking to find relevant conversations and expecting a large number of results. This is what Big Data is supposed to deliver, they assume. Such expectation is likely a product of our ‘keyword search dependency’. Indeed, when we run a keyword search on Twitter, or search engines, or anywhere we get a long list of results. The fact that most of them (up to 98% in many cases) are irrelevant is often lost in the visual illusion of having this long, seemingly endless, list in front of our eyes.

With the quality solutions that accurately deliver only relevant results we experience, for the first time, a situation when there are no longer big lists of random results. Only several relevant ones.

This is so much more efficient. It saves time, increases productivity, clarifies the picture, and makes Big Data manageable.

Time for businesses to embrace the new approach.