Web Analytics for Business Optimization
Analytics is a system that gives data about your site. Information has to be interpreted from that data. This Information acts as an aid is decision making.
Analysis of Analytics data begins with a given underlining problem or a query.
Avinash Kaushik’s blog, which contains wealth of Web analytics information, is a must read for every one in this field.
1) Identify the objective of analysis. Define the problem.
A) To Improve Campaign Performance
i) How to increase conversion rates
ii) Which pages have higher pageviews, lower bounce rates and why?
iii) Which geolocation, keywords bring most loyal visitors?
iv) Can you retarget your new users?
v) Which referral sites gives low cost per acquisition? why?
B) Where to spend more money?
C) Where to reduce spends?
D) Which content/product is highly popular? Why?
E) Do you need to add more content, if yes, how often? which category of content?
F) Why is my market share going down?
2) Segmentation of Users: Divide your users into different segments based on your business objectives
A) Identifying visitors based on amount of time they spend on your site
B) Identify users based on length of time on site.
C) Identifying users based on frequency of visits to your site
D) Identifying users based on depth of visits/ number of pages viewed
E) Identifying users by repeat purchases on your site
F) Identifying users by gender
F) Identifying users by geo-location
G) Identifying users by value of purchase on your site.
H) Any additional segment valuable to your website.
Determine the segments most critical to your business, you may also give weights to each segment, for example returning visitors who visit once every 2 days may be the most critical segment for your website. You should be able to find data on above segments and cross-segments.
In a travel site may be returning visitors every month making a purchase may be very valuable. In a shopping site a new or returning visitors who visit more than one page on the site may be more valuable than returning visitors browsing just one page. In an Adsense site the important metric to be looked into is the depth of each visit irrespective of visitor being new or returning.
Based on your business, you need to segment the group of visitors to be monitored for better targeting of your marketing communication.
3) Segmentation of your Market. Based on your competition, quality of users on the site, determine various segments useful for business.
A) Segmentation based on Product Demand.
B) Segmentation on seasonal factors
C) Segmentation based on competition on certain product, geolocation, service.
Web Analytics is used for below main purposes.
- To keep a watch on regular Metrics of the site on a day-to-day basis.
- Provide required information to Marketing Team, and other teams.
- To increase performance of Online Marketing Campaigns
- To identify, segment users visiting your site.
- Traffic Sources and amount of marketing effort needed on each medium
- Identifying medium for each segment.
- To increase performance of Online Marketing Campaigns
- To find evidence for occurrence of particular event/action. To help in creating better content in the website.
- Identify geo location of each segment of users visiting your site.
- Identifying content viewed by each segment of users.
- By identifying Top exit pages, Top bounce rate on pages.
- Average Time spent by users in each page.
- Identify geo location of each segment of users visiting your site.
Segment Visitors based on the value they provide to your business, then create Goals and work to attaining those goals along with strong measurement techniques.
Identify visitors who are valuable and loyal, customize services for them…
Find out which content on your site these each segment of visitors actually view and how long.
1) Understand the needs of your users’ who visit your website.
A) Understand the needs of each segment of users..
B) Determine the content each of your segment browses
C) Even remote need of small percentage of users must not be ignored. It might help you in creating new products which could get more such visitors back to your site.
2) Provide required information to Marketing Team, and other teams before finalizing strategies.
This would help them assess the amount of effort required on external advertising and internal optimization. Read more about Marketing ROI on Avinash’s Blog.
If you would like to grow your visitors by 100%, then push marketing can do it by 20% & pull marketing can get you remaining 80%.
Reading some of the Best Web Analytics Blogs is must read for anyone in this field, some of them are:
1) Web Analytics Demystified
2) Conversion Rater
3) Occam’s Razor
3) Web Metrics Guru
4) Analytics Guide
End of Article …………….
Copyright of this article reserved by praveenkodur.com.
shenacatro said,
September 28, 2007 @ 10:43 am
Web Analytics is one of the most high paying jobs in Online Industry,….
shenacatro said,
October 6, 2007 @ 5:51 am
Web Analytics data is the most essential data of any web based business model..
Computer Security Tips said,
October 10, 2007 @ 1:11 pm
Computer Security Tips
I couldn’t understand some parts of this article, but it sounds interesting
shenacatro said,
October 11, 2007 @ 1:22 am
the best way to move ahead, is this way explained. Anyways great article…
Aaftab said,
October 12, 2007 @ 10:31 pm
Aaftab
I realy enjoyed reading this site, i needed some info on this subject for my new study and your post helped me out a lot thank you for that
Top Internet Business said,
October 14, 2007 @ 7:08 am
Top Internet Business
I couldn’t understand some parts of this article, but it sounds interesting
Internet Marketing and Advertising said,
October 17, 2007 @ 7:20 am
As far as I can understand the real use of Google Analytics is for mainly Marketing ROI
Business Ideas Forum said,
October 20, 2007 @ 9:39 am
Business Ideas Forum
To understand this article you need to understand business
Business Career Center said,
October 21, 2007 @ 6:58 pm
Business Career Center
Web Analytics is very new field of science .. needs both business knowledge as well as analytical knowledge
dafodilkemmy said,
October 30, 2007 @ 1:29 pm
Web analytics requires robust tools to be installed which accurately measure various data across the site
lszbbpak said,
November 14, 2007 @ 12:30 am
Omniture and Webtrends are the best analytics softwares used by Top companies..however they cost a fortune…
oasis said,
December 3, 2007 @ 8:52 am
Very Good tips to monitor Adsense Sites….
beach-brazil said,
December 4, 2007 @ 9:13 am
For Web Analytics data is the most essential part is understanding user activity on the site.. Understand user behaviour and suggest actionable inputs to company heads…
GA experts said,
December 15, 2007 @ 1:07 am
Google Analytics can give us entire data on keywords, clicks, Terms in the GA dashboard….
analyticsindia said,
December 18, 2007 @ 1:24 pm
Top Analytics tools are Ominiture & Webtrends and Google Analytics are equally good Enterprise Tools…
ananlyticsking said,
December 18, 2007 @ 1:24 pm
Web Analytics conferences in USA, UK are conducted as part of SES Conference.. there are very few web analytics conference.. and hasn’t evolved much as science
webanalytics said,
December 20, 2007 @ 11:56 am
setting up systems to track & monitor changes on site is necessary…and most difficult, crucial part of web analytics part…as each system has its own story to tell us…
tagslogs said,
December 20, 2007 @ 12:00 pm
You must read the big fight between tags v/s logs….Both have their advantages, disadvantages..
Webanalytics said,
December 20, 2007 @ 12:06 pm
Web Analytics Demystified is one of best posts by Avinash Kaushik… it is a must read post for everyone in web analytics
PPC Management said,
December 20, 2007 @ 12:08 pm
PPC accounts are linked with Google Adwords Accounts, therefore you can get exact keywords that people type in broad match is given in the keyword report by cleverly using the regular expressions….
analytics blog said,
December 26, 2007 @ 10:02 am
There are lots of Web analytics blogs on Internet., and very few blogs covering the entire scope of analytics such as modelling, algorithms etc…
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