How to surmount the top five Web analytics hurdles.
Many of you may be looking back at last year and asking yourself what you accomplished On the personal side, you hopefully had a great year. But looking back 12 months, did you accomplish the goals tied to your business, job function, and specifically, your Web site?
As this is a common time to reflect on the past and plan for the future, I wanted to examine a few common frustrations. If you're like others in the space, you probably entered the year thinking one or more of the issues below.
They'll sound familiar to many of you All are probably things we'd have loved to have solved back in 2005. Unfortunately, most people are waking up on the first business day of 2007 and realizing they still face the same issues they did last January. Now hopefully, if you've been reading ClickZ and over the past year you've made some progress on some of these, In any case, let's look at these top five issues and try to understand the underlying problem.
Analysis of Five Issues
1. I know there's a ton of value in Web analytics, but we aren't doing anything with it now. Where do we start?
Have you considered how you might want to use this data? How it can help you do a better job? Have you allocated the responsibility of Web analytics to someone? This wouldn't be someone within IT, it would be someone with a strong Web strategy marketing background. Do they need to be an expert statistician? Not at all. This is a major misconception about Web analytics. It shouldn't be an IT person, it doesn't need to be a stats pro, but it does need to be someone who understands Web strategy, the business, and how to use data. Think MBA rather than IT pro.
2. It seems we have a mountain of data, reports, and scorecards, but we really aren't getting any insight from all that data. Why not?
Typically this happens when people are not focusing in on the right data. Do you feel the Web channel goals have been correctly defined and agreed upon? Has someone taken the initiative to formulate KPIs (key performance indicators) and the metrics that support those KPIs which can help interpret fluctuations? If you company is still struggling with number one, make sure you focus in on what matters, get that nailed in Q1, and come this time next year you'll be in much better shape. Once you have the important behaviors nailed, through out 98 percent of the other data coming from your Web analytics tools and just focusing on understanding the data that drives those behaviors. We will look back at the other 98 percent, but not until we get the basics nailed.
3. We identify all these great opportunities, but we just can't get others to act on them and improve the site through testing or otherwise, how can we get others excited about the opportunities?
This is most commonly related to a lack of others understanding what they can get out of Web analytics. It's imperative they understand how it can help them do their job better. In many cases, it takes a small win by someone on the team to understand. Find the most receptive person on the Web team, ideally one of the leaders. Help them get a win leveraging data and improving the site, then share that story throughout the team. Once you get this under your belt you can move onto bigger things and into systemized testing. Executive support is key for taking it to the next level and investing in an optimization tool (i.e. Offermatica, Optimost, etc.) and the related support for testing. More on executive support to come in the future, by the way.
4. Wouldn't the Web analytics and other data like attitudinal, competitive and call center data be much more valuable if I could use them together?
Three different people or groups within a company own these three or four different data types. Typically, none understand the other data types, how they could be of value, or how their data could be valuable to others. Add to this another common under-estimatation: the power of all of this data together is much greater than the sum of all the parts. Yes, this takes executive support as well.
5. Culture of analysis: How do we get our company to start basing decisions on data?
This is without a doubt the biggest transition of all. Becoming a data-driven organization shifts the way all decisions are made. Instead of making decisions based on gut feelings or "past experience," we strive to build a culture where all decisions are made based on a combination of data insight and educated decisions. In order to get your company willing to make the investment to transition the way they look at the Web channel and make decisions, there must be a proven track record. Executive support isn't optional, but an absolute must. Things won't get done without this level of support.
Starting Off on the Right Foot
So where do you begin? There are really two things that will help prepare you to accomplish online goals in 2007:
Executive Support I touched on this within many of the top five, but this is imperative. This will make things either much much easier or nearly impossible to accomplish. If you can get executive level support to help push the efforts and get people excited about what you are going to do you will be able to make much more progress.
Resource/Budget Allocation You'll need to allocate needed resources to help you accomplish all these things. You can look to build this internally on your own, or seek outside support from an agency to help you hit the ground running. Although I'm biased (being part of an outside agency), I find the fastest and most efficient way to take advantage of the opportunities Web analytics presents is a combination of experienced outside help together with internal resources to focus on it (all supported with executive buy-in, of course).
So as you are looking at all the things you want to accomplish next year, try to put a plan together about how you're going to get there. Shoot me an e-mail and let me know the other challenges you're facing in regard to Web analytics and overall Web strategy. Let me know if you have questions about where to start, or what you need to do to help you company be successful in this area.
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.
The Marketer's Guide to Customer Loyalty Customer loyalty is imperative to success, but fostering and maintaining loyalty takes a lot of work. This guide is here to help marketers build, execute, and maintain a successful loyalty initiative.
The Multiplier Effect of Integrating Search & Social Advertising Latest research reveals 68% higher revenue per conversion for marketers who integrate their search & social advertising. In addition to the research results, this whitepaper also outlines 5 strategies and 15 tactics you can use to better integrate your search and social campaigns.