Do You Really Understand Virality?

Everyone loves to say that their product is viral, but is it?  I used to work in the online photo space where everyone said that their product was "incredibly viral" because they let customers publish photos to Facebook and share photos via email.  However, most of the online photo sites didn't do the analytics to prove if there was any virality from this photo sharing.  Heck, many of the sites weren't even checking to see if anyone was sharing their photos.

Let's look at how you test the hypothesis that your product is viral.  We'll stay with the online photo example.  In this case to confirm your product is viral, you would need to:

1. Measure how often people are sharing via email and social media.  You might do this by building tracking into your platform.  In other words, record in your database when a photo is shared.
2. Ensure that customers can easily order photos that have been shared.  This is basic usability blocking and tackling.
3. Track all customers who click on those shared photos and come back to your site.  I personally like Google's UTC tracking links in Universal Analytics.
4. Set up a mechanism to track how many of those visits turned into orders.  The e-commerce tracking module in Universal Analytics is a powerful tool for doing this.
5. Track the lifetime value of these customers.  Do these customers just order the shared photos or do they actually place new orders with their own photos?  To do this, you will probably need to merge together data from your web analytics platform with your transactional back-end database.

Once you have completed these tasks, you should have a decent picture of whether anyone is sharing, and if so, whether it is helping at all.  The next step is to build a customer funnel. Where are customers dropping off?  There are a likely one or two places where you are losing a lot of folks.  Work to optimize those places.

You also can build a virality model from this data.  I often refer people to "Lessons Learned - Viral Marketing" by David Skok as a starting point.  Not only do you want to compute your viral coefficient, but more importantly, you want to find out the time delay.  How long does it take from sharing to the time people place their orders?  The time delay has a far more powerful effect than the viral coefficient.  That means that optimizing your funnel to increase your conversion rates isn't as important as making sure that those people who convert do so quickly.

The next time you start to say that your product is viral, challenge yourself to walk through these steps.  See if you have done the homework to really prove that you have a viral product.

Top Customer Analysis - You Probably Are Doing It Wrong

When marketing professionals think about their best customers, they often do the same boring analysis. They pull a list of their customers who have spent the most over some time period and call the folks at the top of the list their best customers. They then look at the demographics and a few other traits of those customers and declare victory. However, especially in an online world, this misses a lot of really interesting insights. If you stop with your analysis at this point, you are only about 5% done.

A natural extension of the analysis mentioned above is to factor in customer acquisition costs (CAC) and marketing source. You already calculated how much the customers spent - extend that to calculate Lifetime Value (LTV) of those customers. (You will need to know your churn to compute LTV.) If you have the analytical tools to pull the CAC for these top spenders, you can generate a ratio of LTV to CAC and segment the data by marketing source. What marketing sources have the best LTV to CAC ratio for these top spenders? What does that tell you about marketing activities that were really effective at generating top customers?

The next step is to broaden the analysis beyond just the top spenders. Look at LTV to CAC for all customers acquired by marketing segment. Which marketing segments are most effective using this lens? Until now, the analysis has assumed no virality. But most products, especially online properties, have at least some virality built into them. If you haven't looked at virality before, here is a great primer by David Skok.

Now instead of just tallying up your best customers in terms of spend, look at those customers who shared your product the most. Better yet, see if you can link those shares back to actual new customers acquired. If you can, keeping going - you aren't done yet! Look at those downstream customers acquired by the sharing and see how much they spent. Let's take those dollars and attribute them back to the customers who did the sharing. In other words, we are going to look at which customers spent the most AND how much money you got from their sharing activity. Once again take those top customers and compare the value they brought you to their CAC and segment the data by marketing program.

Whew! If those analyses seem fairly complex, you are right. These are going to take you a while. Even with the best of tools and people, this isn't going to be a quick process. However, if you can complete these analyses, you will likely have a totally new perspective on where you should be focusing your marketing efforts.