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:
- 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.
- Ensure that customers can easily order photos that have been shared. This is basic usability blocking and tackling.
- 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.
- 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.
- 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.
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.
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