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Web Analytics & Conversion Rates Part II
Submitted by Ken on Wed, 11/11/2009 - 13:20Search, navigate or both, what users might be telling you.
What percentage of your users utilize site navigation?
What percentage use embedded links?
What percentage use search?
Now, do you know if they use one and only one or if they mix?
Do you know the order they mix in?
And finally, once you have that sorted out, do you know the conversion rate for each?
Web Analytics & Conversion Rates Part I
Submitted by Ken on Wed, 10/14/2009 - 12:18Demand, Price, Competition & Inventory = Success?
Almost, but... do you know what really drives conversion? Is it also great photography, better site design, simple navigation? What is the user actually thinking about? Are they buying this for themselves, is it a gift, you can build a simple binomial lattice to predict outcomes and segment users (if you really want to get into the details that is).
Have you measured conversion rates if a second item is added to the "cart"? (Simple piece of analytics code)
Measuring for success, part IV
Submitted by Ken on Wed, 09/23/2009 - 09:58Shopping versus acquisition, some data points to look at to better understand the people (potential customers) using your website. We tend to focus on the 1% or 5% or 10% or whatever the number is that become customers, and we use many mechanisms (discounts and additional values) to increase conversion rates. Many of these techniques work, and just as many erode margin. Looking at the individual/person shopping, the product/service offered, the uniqueness of the product/service and the price competiton will provide a proper lense to examine
Measuring for success, part III
Submitted by Ken on Wed, 08/19/2009 - 10:08eCommerce, shopping carts & the funnel
The traditional eCommerce site, selling a product that can be shipped or picked up has plenty written regarding funnels, cart abandonment, life time value and so on. So, I will not bore you with rehashing the reports and analytics behind a shopping cart website. Instead, I'll provide a couple of additional data points to track, report, analyze and improve upon.
Measuring for success, part II
Submitted by Ken on Fri, 08/07/2009 - 17:00eCommerce - Perishable Inventory
First, let me define "Perishable Inventory", yes it could be groceries, but for the purposes of this exercise I am going to use Travel and Rental Services to discuss Web Analysis.
General observations from my work in this area. First, price will dictate the number of competitors your prospect will visit. The higher the price the more quotes, and there is a price point where the prospect will go to the phone or physical location to further investigate and transact.
Measuring for success, part I
Submitted by Ken on Tue, 07/14/2009 - 14:45What do you measure on your website that indicates success? Is it return visits? Is it email opt-ins? Is it comments or registrations? I will suggest a few by basic business model (if I miss a business model, my apologies, email me and I will add if I am able):
Business Model #1: Publishers (I have content, people read it, I monetize the page views and consumption):
Page Views per visit (certainly an indicator of how well organized your content is and how well you are able to draw people deeper into your content offering)
Web Analytics KPIs, Engagement, Satisfaction & Conversion
Submitted by Ken on Wed, 06/24/2009 - 10:50Just a quick thought on how to develop your reporting for Google Analytics. First think about the basic consumers of your data in terms of what they need to know and how often they want to "know it". Generally I think you will find there are three general information users:
SEO, vocabulary, the masses and content access, what words should I use?
Submitted by Ken on Mon, 06/22/2009 - 16:05The simple answer is all of them. The placement and order require just a little investigation. Here is a quick example:
Say you are writing on the subject of Automobile Accidents. Should you use "Automobile Accident", "Auto Accident", "Car Accident" or "Car Crash"? Well, lets see what Google has to say about "search volume", meaning what people use most to find this type of content:
Summarized Contrast of Google Analytics & Omniture
Submitted by Ken on Mon, 06/08/2009 - 14:34Omniture provides the following capabilities that are currently not replicated in Google Analytics (top level items to know):
Want to keep your links as HREFs for SEO but have Javascript OpenWin Functionality?
Submitted by Ken on Sat, 05/23/2009 - 15:32Check out this bit of test code:
<html><head><style>
.portraitpopwin {
font: georgia;
}
</style>
<style>
.landscapepopwin {
font: georgia;
}
</style>
</head><body>
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