Marketing Online Software

  • Subscribe to our RSS feed.
  • Twitter
  • StumbleUpon
  • Reddit
  • Facebook
  • Digg

Thursday, 6 August 2009

Individual Visitors Tracking v/s Aggregate Data

Posted on 23:44 by Unknown
Should web analytics tool track visitors as unique individuals or at the aggregate level? John Squire, Chief Strategy Office of Coremetrics says that tracking at Individual level is the way to go and this is how his company is differentiating itself (from Google analytics). Brian Clifton, former heard of Google Analytics in EMEA, responded by saying that aggregation is the way to go.

In my opinion both of them are right. Which route to go really depends on what you want from the web analytics tool?

Aggregate Data

If you are new to web analytics or you just want to track and analyze the overall health of your website, aggregated data will work for you. If you want to know how your marketing efforts are performing in terms of driving traffic or online conversions than aggregate data will just work fine for you. If you want to know which pages of your site are bleeding and then conduct A/B testing or Multivariate testing to improve them then aggregate data will work for you.

Individual Visitor Tracking

However as companies mature in their use of web analytics data they will need individual level tracking.

A company which is ready to do personalization will need to understand each individual browsing/purchase behavior to put the right offers/products in front of her. That is not possible with aggregated data.

It sounds perfectly ok to know that 75% of visitors abandoned the shopping cart but won’t it be nice to know who those 75% are or a way to convert at least some of those 75%? This is where individual tracking will come in handy. If visitors, who abandoned the shopping cart, leave an email during the process then you can send them a targeted email based on how far along they were in the shopping process, what products they had looked at, what product they had in shopping cart, etc. You don’t need to analyze every single data point but you can have business rules that can trigger those emails. However, to do so you will need to track at individual level. Even if you don’t want to send an email if you know the cookie id of the visitors you can put a personalized offer in front of them when they return back to your site and this will require tracking at individual level.

Individual tracking also comes in handy when the sales people call the lead that they just got from the website. Knowing what the person, who filled the contact us form, did on the website could provide a lot of information to sales person who can then tailor their conversation based on this information.

There are several more scenarios where aggregate data just won’t work. You will need individual level tracking.


I agree that tracking individual has privacy implication that need be properly addressed before tracking each person. However privacy issues also exist when you anonymously track visitors at aggregate level and those need to be addressed too.

So should you choose a tool that aggregates the visitor data or the one that tracks them individually? It all depends on what you want to do with that data. If you need help in figuring out what tool will work best for you feel free to email me at batraonline at gmail.com


Comments/Questions?

----------------------------------------------------------------------------
Looking to fill your Web Analytics or Online Marketing position? Post your open jobs on http://www.web-analytics-jobs.com/
----------------------------------------------------------------------------
Have you used Clop.in a URL shortner with real time analytics? http://clop.in/C6ZWAL
Email ThisBlogThis!Share to XShare to Facebook
Posted in behavioral targeting, cookies, web analytics | No comments
Newer Post Older Post Home

0 comments:

Post a Comment

Subscribe to: Post Comments (Atom)

Popular Posts

  • NebuAd’s response to my blog post
    In response to my post on ISP based Behavioral Targeting , I got the following response from NebuAd: Below are a couple of quick points from...
  • 25 Twitter Hashtags Used By Digital Marketing and Analytics Community
    Hashtags (keywords that follow #) are a great way to jump to topic and join the conversation on twitter. Below I have complied a list of 25...
  • Web Analyst Interview: Julien Coquet
    Here is the first of my interviews that I promised in my last post Interview With Web Analysts What is your current position and the name of...
  • XChange, Web Analytics 3.0 and Behavioral Targeting
    I am back from from XChange , a conference organized by Semphoic in Napa last Thursday and Friday. The Conference consisted of many small d...
  • Engagement, is it a metric or an excuse?
    Avinsah Kaushik, posted a blog post stating that “Engagement is not a metrics, it is an excuse” . I beg to differ with Avinash on this one. ...
  • Email Personalization Not Working? Read This.
    I am a big believer in targeting and personalization and have written extensively about it in this blog. However, targeting and personali...
  • Unnecessary Outcry over Adobe CS3 and Omniture Tracking
    On Dec 26th a blog post on Uneasysilence.com showed that when a user launches CS3 suite adobe calls a server on Omniture. According to the a...
  • Web Analytics Jobs Trends – 2007
    Web Analytics is one of the hottest career fields these days. Organizations are realizing that web analytics can no longer be a part time wo...
  • Promotional Codes: Conversion Killers?
    Promotional Codes also know as Promo Codes, Discount Codes, Coupon Codes, Offer codes etc, are supposed to drive sales, right? However they...
  • 5 Reasons To Use Google Experiments
    Google Experiments is an A/B testing tool that is available within Google Analytics interface.  This post is not about what A/B testing is,...

Categories

  • A/B Testing
  • aaron lovelace
  • aberdeen group
  • actionable web analytics
  • adobe
  • Adwords
  • affiliate
  • ajax
  • akamai
  • ama
  • amazon
  • analytics
  • aol
  • ask
  • ask anil batra
  • b
  • bango
  • behavioral targeting
  • bing
  • blog measurement
  • blogs
  • BlueLithium
  • bounce rate
  • career in web analytics
  • cart abondonment
  • clicktracks
  • CMS Watch
  • Competitive Information
  • comscore
  • conference
  • conversion optimization
  • conversions
  • cookies
  • coremetrics
  • data
  • demystified
  • director
  • DMA
  • ebay
  • eCommerce
  • email marketing
  • eMetrics
  • Engagement
  • eric peterson
  • exit ratio
  • facebook
  • Flash
  • freelance
  • FTC
  • FTE
  • gary angel
  • google
  • google ad planner
  • google analytics
  • Google Analytics Filters
  • Google Analytics Tips
  • Google Trends
  • google web history
  • HBX
  • hits
  • homepage
  • IAB
  • IndexTools
  • India
  • interviews
  • iPad
  • iPhone
  • ISP
  • Jupiter Research
  • KPIs
  • landing pages
  • log files
  • marketing books
  • metrics
  • microsoft
  • mobile analytics
  • monthly recap
  • mulichannel
  • multichannel marketing
  • NebuAd
  • news
  • NYtimes
  • offsite analytics
  • OMMA
  • omniture
  • online advertising
  • online marketing
  • optimization
  • oracle
  • page views
  • personas
  • personlization
  • PPC
  • predictions
  • predictions 2007
  • predictions 2008
  • predictions 2009
  • privacy
  • quarterly recap
  • referrers
  • referring domains
  • retargeting
  • Reuters
  • revenue model
  • revenue science
  • search
  • search retargeting
  • SEM
  • seminar
  • SEO
  • shopping cart
  • single page visits
  • social advertising
  • social media
  • social media analytics
  • social networking
  • Speaking Engagement
  • spyware
  • subscription
  • survey
  • tacoda
  • time spent
  • toll free numbers
  • twitter
  • unica
  • unique users
  • url shortener
  • video
  • video analytics
  • visitors
  • visits
  • visual sciences
  • WAA
  • wal-mart
  • WAW Seattle
  • web analytics
  • web analytics education
  • web analytics jobs
  • webcast
  • webinar
  • webtrends
  • widgets
  • widmile
  • Yahoo
  • Yahoo Web Analytics
  • YouTube
  • ZeroDash1

Blog Archive

  • ►  2013 (12)
    • ►  November (2)
    • ►  October (1)
    • ►  August (1)
    • ►  July (1)
    • ►  June (2)
    • ►  May (3)
    • ►  March (1)
    • ►  January (1)
  • ►  2012 (12)
    • ►  October (1)
    • ►  July (1)
    • ►  March (2)
    • ►  February (4)
    • ►  January (4)
  • ►  2011 (14)
    • ►  December (3)
    • ►  November (2)
    • ►  October (1)
    • ►  September (1)
    • ►  March (3)
    • ►  February (3)
    • ►  January (1)
  • ►  2010 (34)
    • ►  December (3)
    • ►  August (5)
    • ►  July (5)
    • ►  June (3)
    • ►  May (2)
    • ►  April (4)
    • ►  March (5)
    • ►  February (4)
    • ►  January (3)
  • ▼  2009 (40)
    • ►  December (1)
    • ►  October (4)
    • ►  September (3)
    • ▼  August (4)
      • 3 Roles in Web Analytics
      • Is CAPTCHA Eating Up Your Conversions?
      • URL Shortener: What and Why
      • Individual Visitors Tracking v/s Aggregate Data
    • ►  July (5)
    • ►  June (4)
    • ►  May (1)
    • ►  April (6)
    • ►  March (5)
    • ►  February (4)
    • ►  January (3)
  • ►  2008 (89)
    • ►  December (7)
    • ►  November (7)
    • ►  October (6)
    • ►  September (4)
    • ►  August (5)
    • ►  July (5)
    • ►  June (9)
    • ►  May (7)
    • ►  April (6)
    • ►  March (10)
    • ►  February (10)
    • ►  January (13)
  • ►  2007 (112)
    • ►  December (7)
    • ►  November (5)
    • ►  October (8)
    • ►  September (9)
    • ►  August (7)
    • ►  July (11)
    • ►  June (8)
    • ►  May (13)
    • ►  April (18)
    • ►  March (13)
    • ►  February (10)
    • ►  January (3)
  • ►  2006 (12)
    • ►  December (3)
    • ►  November (3)
    • ►  October (1)
    • ►  September (2)
    • ►  August (3)
Powered by Blogger.

About Me

Unknown
View my complete profile