{"id":271,"date":"2007-07-27T00:07:20","date_gmt":"2007-07-27T07:07:20","guid":{"rendered":"https:\/\/www.kaushik.net\/avinash\/top-ten-web-analytics-blogs-july-2007\/"},"modified":"2026-05-19T15:32:52","modified_gmt":"2026-05-19T22:32:52","slug":"top-ten-web-analytics-blogs-july-2007","status":"publish","type":"post","link":"https:\/\/www.kaushik.net\/avinash\/top-ten-web-analytics-blogs-july-2007\/","title":{"rendered":"Top Ten Web Analytics Blogs: July 2007"},"content":{"rendered":"

\"sprout\"Time to celebrate the one year anniversary<\/a> of the top ranked web analytics blog list, and do so in high fashion with a new and improved ranking computation!!<\/p>\n

Doing this list has been a lot of fun, mostly because I am always trying to think of new and interesting ways in which it can be made better. This one is perhaps the most lovely update thanks to my peer blogger Kevin Hillstorm<\/a>.<\/p>\n

Kevin writes a wonderful blog, MineThatData<\/a>, and during one of my recent visits I noticed that he had updated his “Friends Of MineThatData” list with a “Kevin’s Proprietary Ranking System”. You can imagine that would pique one’s curiosity. :)<\/p>\n

Kevin’s system is a non-linear regression model where the two independent variables are alexa and technorati ranks and the dependent variable was 98, 94, 90 etc, values he assigned to the highest, the next highest and the next highest blogs in his list when ranked by the average of alexa and technorati ranks.<\/p>\n

I particularly liked this part:<\/p>\n

It is designed to give a value no greater than 100, no less than zero. It is designed to rapidly move somebody up from 0 to 50 as a blogger builds and audience. In your case, you could double your audience, and your ranking won’t move much<\/em>.<\/p><\/blockquote>\n

I like it because it encourages young bloggers to move up the rank very quickly, even with small numbers. At the same time it gets harder and harder for those on the top to truly move their score (so no short term tricks will work!).<\/p>\n

Kevin has generously shared his proprietary ranking system with me and I have adapted it a little bit.<\/p>\n

For my best web analytics blogs ranking I am using Technorati and Feed Subscribers<\/strong>. I have come to appreciate the number of feed subscribers as the best success metric for a blog (see: Tips For Measuring Success Of Your Blog<\/a>).<\/p>\n

I emailed the 35 web analytics blogs I track for my rankings and they all kindly sent me their feedburner subscriber numbers. Thanks folks (!!).<\/p>\n

Only one blogger declined to share his feed subscribers, the list is poorer for that.<\/p>\n

Without further ado here is the list of top ranked blogs on web analytics:<\/p>\n

<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
Rank July ’07<\/font><\/strong><\/td>\nRank July ’06<\/font><\/strong><\/td>\nTop Web Analytics Blogs<\/font><\/strong><\/td>\nScore<\/font><\/strong><\/td>\n<\/tr>\n
1<\/font><\/strong><\/td>\n3<\/font><\/td>\nOccam’s Razor<\/font><\/a>
\nby Avinash Kaushik<\/td>\n		88<\/font><\/strong><\/td>\n<\/tr>\n
2<\/font><\/strong><\/td>\nNew<\/font><\/td>\nGoogle Analytics Blog<\/font><\/a>
\nby Jeff Gills<\/td>\n		86<\/font><\/strong><\/td>\n<\/tr>\n
3<\/font><\/strong><\/td>\n1<\/font><\/td>\nWeb Metrics Guru<\/font><\/a>
\nby Marshall Sponder<\/td>\n		79<\/font><\/strong><\/td>\n<\/tr>\n
4<\/font><\/strong><\/td>\nNew<\/font><\/td>\nWeb Analytics World<\/font><\/a>
\nby Manoj Jasra<\/td>\n		72<\/font><\/strong><\/td>\n<\/tr>\n
5<\/font><\/strong><\/td>\nNew<\/font><\/td>\nWebAnalytics.be Blog<\/font><\/a>
\nby Aur\u00c3\u00a9lie Pols<\/td>\n		53<\/font><\/strong><\/td>\n<\/tr>\n
6<\/font><\/strong><\/td>\nNew<\/font><\/td>\nAnalytics Talk<\/font><\/a>
\nby Justin Cutroni<\/td>\n		51<\/font><\/strong><\/td>\n<\/tr>\n
7<\/font><\/strong><\/td>\n4<\/font><\/td>\nUnofficial Google Analytics Blog<\/font><\/a>
\nby Shawn Purtell<\/td>\n		49<\/font><\/strong><\/td>\n<\/tr>\n
8<\/font><\/strong><\/td>\nNew<\/font><\/td>\nLies, Damned Lies…<\/font><\/a>
\nby Ian Thomas<\/td>\n		46<\/font><\/strong><\/td>\n<\/tr>\n
9<\/font><\/strong><\/td>\n5<\/font><\/td>\nIncreasing Your Website’s Conversion Rate<\/font><\/a>
\nby Robbin Steif<\/td>\n		46<\/font><\/strong><\/td>\n<\/tr>\n
10<\/font><\/strong><\/td>\nNew<\/font><\/td>\nThe Commerce360 Blog<\/font><\/a>
\nby Craig Danuloff<\/td>\n		44<\/font><\/strong><\/td>\n<\/tr>\n<\/table>\n

<\/center><\/p>\n

If you want to play along at home here is the formula:<\/p>\n

\"top<\/p>\n

Where E4 are your feedburner subscribers and F4 is your technorati ranking. You can also try this excel spreadsheet and play along: blog_rank_calculation.xls<\/a>.<\/p>\n

My thoughts \/ observations :<\/strong><\/p>\n