Free Lunch or Food Poisoning?
Viral marketing is the holy grail for companies, especially small startups. It is like getting something for almost nothing. The proverbial Free Lunch if you will.
From the marketing experts I spoke to and various things I have read, Tipping Point and Influencer Marketing, it seems that all I have to do is get a few Trend Setters/Social Connectors/Influencers on board and my product will be more viral than H1N1.
However, after digging deeper, I realized that it’s not quite so easy. Contrary to popular belief, these elusive and elite Trend Setters/Social Connectors/Influencers have no influence on viral growth.
I guess my dad was right!! There is no free lunch.
Before you spend time and money to court the elite influencers, such as major blogs, I would like to share some of my findings about viral marketing and growth.
What is Viral Growth?
Aside from being like a virus, viral growth is represented in math as a geometric series that goes to infinity. In other words, it looks like a hockey stick, which most entrepreneurs know all too well.
How Did Marketers Get It Wrong?
Lets start by looking at the analogy.
Word-of-mouth or viral marketing spreads from person to person like a virus. More so, if each customer spreads the product to multiple new customer, then we can get epidemic-like growth. All that is needed is to find an initial customer (or customers) who has contact with a large numbers of prospective users.
Unfortunately, the analogy itself is wrong. As illustrated by David Skok, only recent customers find new users. This fact becomes obvious when we consider the nature of personal social networks. Essentially, once we go through our friends, family, and acquaintances we run out of people to “infect”.
Consequently, this diminishes the effect of the elite Influencers because the next wave of users will come from the average customer alone. In fact, the recommendations of the average customer will determine if a product will go viral.
To prove this to myself I built a little model in Excel based on the work of David Skok. The graph below shows that no amount of influencing can help an inherently non-viral product. 
The virility of a product is determined by its viral coefficient. This coefficient is defined by how many new users a recent user can bring in. If each recent user can bring at least one new users then the product is viral.
The graphs shows a product with a viral coefficient of 0.9 for the average user. The top graph, red, shows the product growth with an Influencer that knows 10 Million (yes 1e7) times more people than the average person. This represents an astounding 1 Million initial viral coefficient. Despite the initial growth, we do not see a hockey stick curve and it quickly saturates.
Although, one may argue who needs viral growth if you can initially get over 90 Million (and grow to 90 Billion) users from elite Influencers. That is true, but its going to be an expensive lunch. Influencers that can deliver 150 Million prospective users usually would cost a considerable amount of money. To give you an idea, the Super Bowl, which draws 95 Million viewers (not necessarily prospective users), costs $3 Million to place a 30-second ad on the show. Therefore the large initial viral constant used in the example above is not achievable for most startups. The graph illustrates that no matter how big the influencer they cannot make a product grow virally.
Who cares! Growth is Growth..right?
Yes, in that growth implies that things are going up. But at the same time absolutely not!! Viral growth refers to something very specific, which has a definition based in math. Essentially, it means that you grow at an increasing rate. This is more than just an academic difference. In the real world, it implies a way to achieve an enormous amount of growth in a relatively short period of time and with limited resources. Virialness can make or break a company.
Therefore, unless you land a free superbowl Ad, the shape of the growth curve is more important than the absolute value. Once you achieve a capital efficient strategy for viral growth, scaling the rate is easier. At that time, one might say, “the product sells itself”.
More to come:
- How to increase viral coefficient?
- Network effects on product growth?
- When influencers matter?
- What is the model I am using?