Before we go over how to use your amplification factor, let me just say what you’re all thinking . . . .
Travis, you’ve made virality seem so easy to understand and create.
But if it’s that easy, why aren’t more sites viral?
First off, thank you! You’re too kind.
Since starting Viral Hero, I’ve done my best to break down a complex, dry, and academic subject into something that’s a bit easier to understand.
We started with the basics, then reviewed the 12 different viral types, and in the last section, created your viral engine in 15 steps.
Now let’s put all that hard work to the test with some real-world scenarios.
We’ve much more to cover, but I’m glad you’re following so far!
But I NEVER said virality was easy to create.
In fact, it’s the complete opposite.
If you don’t architect your product from Day 1 through the lens of virality, a K of > 1 (or even a K > 0.5) may never be possible.
(For more on what K is and how to calculate it see our last chapter.)
Simply cobbling together and running with a viral engine would be like putting a top-of-the-line sound system in an economy car.
In other words, you can make something better than it was, but you can’t transform your Toyota into a Porsche.
(Write that down.)
But wait, before you panic and start believing viral marketing CAN’T work for you, know that even a K value of 0.1 can transform you from a lowly startup into an industry leader.
At scale, it may also make (and save) your company hundreds of millions of dollars.
This is the magic of what’s called your viral amplification factor.
An amplification factor is a multiplier that shows how many total users you can expect to acquire for everyone user you acquire from non-viral means – after viral marketing does its job.
Let’s say we have a relatively popular blog that caters to an active market.
Our prior example in the last chapter showed an incredibly viral SaaS application and how the basic viral formula may work in a vacuum.
Let’s now talk about a model that can be a LOT more hit or miss - namely, an online media outlet (i.e. our relatively popular blog).
Since this model is drastically different, the goal is no longer to create application-specific viral value for users to directly invite others, as it was in the last example.
Instead, the media outlet model USUALLY means that viral invites come via online viral word-of-mouth marketing and, most often, through a share on social media.
Some of the world’s top viral media properties, like BuzzFeed and Dose, crush this method.
But most small teams don’t execute on it nearly as well.
For now, let’s assume that you’re the typical new blog, and instead of a conv% of 20% (as we had in our previous example), let’s decrease conv% to 5%.
Also, let’s assume our i value remains the same as it was in the last example, and each user you recruit exposes 10 new people to your product.
This means that for every 10 people who see an invite that has been sent (e.g. every 10 people who see a post that has been shared in their feed), 0.5 of them come to the site and become readers.
Wait, how can we recruit 0.5 readers? Do we need to saw them in half?
(IMPORTANT: Please do not attempt to saw anybody in half, and if you do, please find a better tux than this guy.)
What having 0.5 readers means is you’ll need two users executing your full viral loop and exposing your product to 10 new people each (for a grand total of 20) to recruit one single new user through viral means.
In short, if our i value stays the same (i = 10), this one simple change of decreasing the conv% from 20% to 5% will alone reduce K to 0.05.
So how do you calculate your viral amplification?
A = 1/(1 – K)
By inserting our values in the use case above, we get:
A = 1/(1 – .05) = 1/.95 = 1.05
Basically, this says that for every 100 users you drive to your site, they will collectively recruit an additional 5 users for you.
This isn’t great a number for A, and is often typical for sites of this type that have given zero attention to improving their viral metrics.
An amplification factor this low would likely only be a needle-mover for sites spending a ton of money to acquire users through non-viral means.
But hey, it’s better than nothing.
Let’s assume you and your team conduct some research into online viral word-of-mouth marketing.
You realize that while you’re evoking at least SOME high-arousal emotions (as evidenced by your i value falling within the typical average), there’s still room for improvement.
Fortunately, you can often increase the shareability of your content by improving its headlines and imagery.
This will better catch people’s attention by igniting curiosity or controversy or awe (or any other high-arousal emotion) – thereby increasing your conv% on those shares.
Ever hear of the term “clickbait?”
This is exactly what media outlets use to increase their viral numbers.
The image above shows how Chicago-based online media juggernaut Dose uses clickbait on their homepage via a catchy headline that’s almost impossible not to click.
Now that you’re ready to crank up your numbers let’s get back to our use case.
You’ve gone ahead and made some awesome improvements to your blog by harnessing the power of clickbait.
As a result, you’ve successfully driven your conv% up to 40%.
Meaning that people who see something of yours that’s been shared in their feed have a 40% chance of:
With that boost, our equation now becomes:
A = 1/(1 – .4) = 1/.6= 1.667
That’s a little better. An amplification factor like this means for every 100 users you pay to acquire, they bring back 67 new users.
Although this isn’t the sort of wild, self-driving, exponential growth we all dream of, an A value of 1.667 is a HUGE needle-mover metric for even a brand-new bootstrapped startup.
With it, they can likely afford to profitably dump more cash into non-viral acquisition channels and unlock additional channels that were previously not cost-effective.
Increasing your A value should be the goal of 95% of companies looking to become market leaders and should be the goal of 99% of companies who are trying to build virality onto a pre-existing product that was not specifically architected to be viral by nature.
Focusing on this goal WHILE optimizing your non-viral marketing channels will help reveal the most profitable path to scalable growth.
However, it won’t provide you with the explosive, exponential growth we all pray to the viral gods for.
That honor goes to the KPI in our next chapter.
So you’ve amplified your growth, and your Toyota is performing better than ever.
Nice job.
But don’t go thinking you’re ready to star in the next Fast and the Furious movie quite yet.
You’ve still got a ways to go before you can take on Vin Diesel with your souped-up viral engine.
So let’s speed things up by examining the reproductive habits of rabbits.
SIDE NOTE: if you want to hear me talk about all things growth, startups, and inspiration, hit me up on Twitter, Instagram, and LinkedIn!