A lunchtime topic came up today regarding Web Analysts and Conversion Optimization specialists. We started debating what each job was all about, what the similarities were, what the differences were, and whether you could be good at both.
Before I dive into my own thoughts and observations on this topic, let me try to answer a crucial question:
Why should I read this post? What’s in it for me?
Fair enough. I respect your time, so IMO you should read this post if:
- You are thinking about a career shift from one discipline to another (e.g. Web Analyst to Conversion Optimization Specialist).
- You are developing Conversion Optimization practices within your organization, and wondering if internal resources can help fill gaps.
- You are recruiting externally for either skill set, and wondering about the overlaps, differences, etc.
- You work with either Web Analysts or Conversion Optimization specialists, and want to understand better “how they tick.”
- You are early in your career, have interest in both, but want to know which discipline to focus on when developing your skills.
We good? Onward! Continue reading
On December 6 of last year, I presented a session at the BestPractices conference in Seattle, WA. BestPractices is a conference and webinar series presented by Analytics Pros and focused on, you guessed it, “best practices” around digital analytics and optimization.
The session was titled “Building a Successful Optimization Program” and the slides have been posted for public consumption.
I will be presenting a follow up webinar, “Testing & Optimization: A Deeper Look” on Wednesday, January 16th at 10am PST. Seats are still available, so feel free to put your name on the list here »
We all know that Optimization and testing efforts should be “data driven.” Quantitative and qualitative data should lead you to the problems that testing attempts to solve for your prospects.
But how, exactly, should quantitative web analytics data be used to power your Optimization efforts? How does analysis differ when you’re looking for insights and testing opportunities? Great questions, if I do say so myself
I’m going to answer both in this post as I lay out a basic framework for how to “do” web analytics in the context of Optimization. I compare web data analysis to looking with different “lenses” at the same set of data depending on the context. For example, if I’m doing analysis on “site performance,” I would take a different view of the data than if I were doing “campaign analysis” or “content performance analysis.”
It’s the same for Optimization. You look at the same data as always, but you look through a different, contextual “lens” to suit your needs. Continue reading
As we all know, there is now more web data, and more web analytics reports, than there are hours in the day. One could literally do nothing but stare at web analytics reports all day every day. Unfortunately, that approach would be well beyond the point of diminishing returns.
The fact is that web analysts aren’t paid to stare at web analytics reports all day. They’re paid to provide data-driven insights to drive the business. In the absence of insights, they are paid to ask thought-provoking questions that have the potential to become marketing insights.
Given the scarcity of time to come up with insights and the overabundance of reports, I believe it’s important to have your own “short list” of super-powerful reports or analyses that can quickly give you insights or things to talk about with your marketing colleagues.
I’m going to share one of mine with you. It consistently either a) gives me insights about the prospects of a given website or b) gets my mind buzzing with questions that can be further investigated. Continue reading
Is social media a big part of your online marketing strategy? Is it a huge “question mark” in your strategy? Either way, you can benefit from spending some time with some new social reports recently added to Google Analytics. Continue reading