Web Analytics - Avinash Kaushik

Category: Web Analytics

How to Choose a Web Analytics Tool: A Radical Alternative

As you can imagine choosing a web analytics tool is a critical process because whether you choose right or wrong you will be usually ...

The Awesome Power of Visualization 2 -> Death and Taxes 2007

In July I wrote a post on the power of visualization to communicate massively complex amount of data in a very effective manner. The ...

How To Measure Success of a Blog (120 Days in Numbers)

[There is a updated version of this post, please check out: Tips For Measuring Success Of Your Blog (365 ...

Two Definitions Documents & A Web Analytics Interview.

The great discussion on the last post on Visitors generated a lot of great comments. One of the great side benefits was that Scott ...

Standard Metrics Revisited: #1: Visitors

Sometimes it is well worth stepping back from the bleeding edge and taking a fresh look at something very familiar, the non-bleeding edge. In ...

Five \”Ecosystem\” Challenges for Web Analytics Vendors

Recently I had the opportunity to be interviewed by a Research Analyst from a boutique investment bank who covers web analytics vendors that are publicly listed. ...

Google AdWords plus Google Analytics: Market Manipulation and Possibility of Mischief ?

EricB’s recent post on his excellent blog Inside Analytics was on the topic of Analytics and Results. It covered two things (Eric correct me ...

Excellent Analytics Tip #7: The Adorable Site Abandonment Rate Metric

How many metrics can you call adorable? Site abandonment rate is an adorable metric, to me : ), for these reasons: Money, money, money ...

Make a Great Vendor / Agency / Consulting Pitch – Win Big Contracts

Some of us have had opportunities to pitch our companies or services to clients. Almost all of us have had opportunities to sit through sales ...

Excellent Analytics Tip#6: Measure Days & Visits to Purchase

There are many good metrics that help us understand customer behavior on our websites. Conversion rate, page views per visitors, average time in website, ...