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It's great to optimize  high-traffic websites, but the traffic brings it own set of analysis problems. In particular, the number of things you can test goes up, the amount of data goes up and finding insights becomes more and more difficult. Excel is a great tool, but I'm looking for some tools to help cut the analysis time. Here is a nice list of free tools that I will be exploring over the coming weeks.

When we dig into a site's analytics, we try a number of different approaches to the data. Sometimes interesting things pop out, and sometimes the data looks "as expected."

This is an analysis we are going to start adding to our analysis: Heatmap of Conversions by Hour of Day. We will modify it for our ecommerce clients (as we track Revenue per Visit, or RPV).

You might try this and see if there is an interesting pattern in your data.

 @Avinash Kaushik has a unique ability to make analytics human. I don't share many analytics posts with you, as I don't want to scare you off. But I fear I may be underestimating you.

Here are ten very good ways to get to know your visitors through Google Analytics. I believe you will be energized and excited if you open these reports in your own Google Analytics account.

This is a great way to start appreciating your visitors in ways that will make your site more successful.

Marketers have it tough. Just look at all of the things we can optimize! Where do we start?!

Well, we can start with these 25 articles, including one from yours truly. Search Optimization Social Optimization Local Optimization Email Marketing (No Optimization?) Mobile Optimization Content Marketing Conversion Optimization Reputation Management

How a visitor interacts with your site is important to conversion. Here is an analysis of the identities used to login to news, business, entertainment, and other sites

Get the Myers-Briggs analysis of your blog. Very interesting.

Retargeting Emails - Do E-commerce customers like or loathe them? March 10th, 2011Leave a commentGo to comments By Charles Nicolls, SeeWhy At SeeWhy, when we first launched our remarketing service in 2009, Randy Stross wrote a piece about email remarketing in The New York Times suggesting that while remarketing might be a great idea for ecommerce websites, it's not a great idea for consumers. He likened emails following up on abandoned shopping carts to a salesman chasing you down the street if you didn't buy from his store. There are major differences, of course. We've long argued that remarketing emails, when done well, not only drive conversions but also build brand trust. They can deliver great service and provide customers with the confidence to return to buy-either online, by phone or in store. If Randy was right and customers universally resented the intrusion, then these emails wouldn't work. In aiming to answer the question more substantively, I turned to data, and specifically email marketing benchmarks. The key metrics to look at to determine whether customers like or loathe remarketing emails are: the recovery rate the open rate the clickthrough rate the unsubscribe rate Frankly, the evidence is overwhelming: Remarketing, when done well, is appreciated by customers. Here's the evidence: (1) The recovery rate The recovery rate is the percentage of visitors that abandon shopping carts, and remarketed visitors thatthen return and purchase following remarketing. At SeeWhy, we measure recovery rates across all our customers, and currently the average is 20 percent. So, one in five shopping cart abandoners come back and buy, having being remarketed. In some cases, the recovery rate is as high as 50 percent. Moreover, when remarketed customers buy, they spend on average 55 percent more than customers who didn't abandon their shopping carts. (2) The open rate The average email open rate for remarketing emails is currently 46 percent, m

One of the advantages of optimizing for conversion is that Google can't take away your revenue arbitrarily.

Normally, we are thinking of SEO when we say this. Panda, Penguin and now Pidgeon are algorithm changes that may have hurt your business.

Now, it appears that Google is messing with paid traffic as well.

Mike Roberts of SpyFu.com has the analysis of an upcoming elimination of "Exact and Phrase Match keyword targeting" by Google.dealing with a 10% loss of revenue is not what I need now or ever. Optimize for conversion, and Google will not be able to reach into your pockets.

The steps we take as conversion optimizers look suspiciously like designers. Each of theses steps can use more data, though:User PersonasJob StoriesUsability TestingAffinity Mapping2x2 AnalysisProblem DefinitionIdeate & CreateMockupsPrototypeValidateOur task is to execute on this with high frequency and make small changes as we go to learn what moves the needle.

This is a great tour of Google Analytics' best features, some of which may be new to you.