What are the key traits of companies successfully using second-generation analytics?
Last week, my good friend Avinash Kaushik blogged about Web analytics 2.0, generating lots of discussion on the Web and in analytics groups.
At first, one could say we don't need anymore 2.0 buzz. A quick search on Google for "2.0" returns nearly 500 million results. There's nothing new about people slapping 2.0 onto the end of something and saying everything's changed. In this case, though, Kaushik nails the difference between the way companies use first- and second-generation Web analytics:Web Analytics 2.0 is:
I won't review all of Kaushik's points here; I encourage you to check them out if you're interested in more detail. But I did talk to him about what Web analytics 2.0 means to me.
We're often tasked with helping to bring our clients to the next level to understand and identify ways to act on visitor behaviors. As Shane Atchison and I outlined in our recent book, "Actionable Web Analytics," it often takes a complete organization shift in the Web team. To climb to the next level of Web site success, you can no longer redesign the site every 12 to 18 months and push out new campaigns four times a year. You must constantly optimize, (Kaushik's second point), continually improving site performance. I've written about this a lot in the past. It can range from tuning your site through A/B or multivariate testing using tools like Offermatica and Optimost to using behavioral targeting (e.g., TouchClarity) to tune the experience on the fly.
In the Web analytics 1.0 world, which still encompasses more than 95 percent of all enterprise-size organizations, it's all about creating reports. How did we do last week? How did we do last month? It's like looking in the rearview mirror. You have all sorts of people putting high-level reports together that don't offer any insight whatsoever. They just tell you high-level information about traffic last month. These reports aren't actionable, and they're often very one-sided -- in most cases only behavioral Web analytics. They aren't based on specific business goals. And they aren't segmented, typically only looking at aggregate information.
What do companies practicing next-generation Web analytics, a mere 5 percent of enterprise-size organizations, have in common? Some top traits of our most successful clients in terms of understanding their customers and prospects:
Web analytics, whether 1.0 or 2.0, represents just one small piece of the puzzle. It shouldn't be seen as the be all, end all, but as a tool in your toolbox. To be truly successful online, companies must comprehend their customers' needs; what they're doing online; how the experience makes them feel about the company, product, or brand; and how the site meets clients and prospects needs. Web analytics, while an important aspect of this understanding, is only a small part of that. To succeed with Web analytics, and with online in general, you must break through the normal corporate barriers, share information, and change the way decisions are made involving the Web.
Kudos to Kaushik for putting a line in the sand, but as his definition points out: Web Analytics 2.0 isn't just about Web analytics.
As President of the Americas at POSSIBLE, Jason is responsible for leading the long-term stability and growth of the region. With more than 20 years experience in digital strategy, he is a long-time advocate of using data to inform digital strategies to help clients attract, convert, and retain customers. Jason supports POSSIBLE's clients and employees in driving new engagements and delivering great work that works. He is the co-author of Actionable Web Analytics: Using Data to Make Smart Business Decisions.
Follow him on Twitter @JasonBurby.
2015 Holiday Email Guide
The holidays are just around the corner. Download this whitepaper to find out how to create successful holiday email campaigns that drive engagement and revenue.
Three Ways to Make Your Big Data More Valuable
Big data holds a lot of promise for marketers, but are marketers ready to make the most of it to drive better business decisions and improve ROI? This study looks at the hidden challenges modern marketers face when trying to put big data to use.
December 2, 2015
1pm ET/ 10am PT
Wednesday, December 9, 2015
5pm HKT / 5am ET