What is a HiPPO?

web analytics hippo
Web Analytics HiPPO

HiPPO, as it relates to web analytics, is an acronym for “Highest Paid Person’s Opinion” or “Highest Paid Person in Organization”, the term is widely used and made famous by Web Analytics guru Avinash Kasuhik (Not sure if he actually coined the term).

Many in the web analytics community believe that a person in Highest Paid Position is generally wrong because that makes random decision based on intuitions and instinct rather than data.

Real Time Analytics Tools

Below is a list of Real time Web Analytics tools that you can you to optimize your landing page and conversion paths. We will continue to update this page so that you have the latest information. If you find something that we should include then please email us.

Tools

Tool Price Site
Clicky Free Trial http://getclicky.com/
Clicktale Free Trial http://www.clicktale.com
ShinyStat Free Trial http://www.shinystat.com/
Reinvigorate Free Trial http://www.reinvigorate.net/
StatCounter Free http://statcounter.com/
Woopra Free http://www.woopra.com/
Performancing Free Trial http://pmetrics.performancing.com/
Piwik Free http://piwik.org/
SiteMeter $6.95 and up http://www.sitemeter.com/
TraceWatch Free http://www.tracewatch.com/
Chartbeat $9.95 and up http://chartbeat.com/
W3Counter Free Trial http://www.w3counter.com/
Histats Free http://www.histats.com/
GoSquared Free Trial http://www.gosquared.com/
DaCounter Free http://www.dacounter.com/

Source: http://www.Optizent.com

Books

Ultimate A/B and Multivariate Testing Resources

Here are the resources to help you learn A/B Split Testing and Multivariate Testing (MVT).  We will continue to update this page so that you have the latest information. If you find something that we should include then please email us.

Tools

Tool A/B or MVT Price Site
Google Website Optimizer Both Free http://www.google.com/websiteoptimizer
Omniture Test & Target Both Varies http://www.omniture.com
Visual Website Optimizer Both $49 and Up – Free Trial http://www.visualwebsiteoptimizer.com/
Sitespect Both Varies http://www.sitespect.com/
Maxymiser Both Varies http://www.maxymiser.com/
Ioninteractive Liveball Both $1295 and up http://www.ioninteractive.com/
Optimost Both Varies http://www.optimost.com
Vertster Both Varies http://www.vertster.com/
KaizenTrack Both $197 fixed price http://www.kaizentrack.com/
SiteTuners Tuning Engine Both Varies http://sitetuners.com/tuning-engine.html
Webtrends Optimize Both Varies http://www.webtrends.com/products/optimize
Split Test Accelerator MVT $297 fixed price http://www.splittestaccelerator.com/
Hiconversion MVT Varies http://hiconversion.net/products-overview/
Conversion Multiplier MVT Varies http://www.conversionmultiplier.com/
Unbounce A/B $25 and up http://unbounce.com/

Source: http://www.Optizent.com

Blog Posts, Articles & Sites

Books

Web Analytics and Usability Testing

Here are two presentations about marrying Web Analytics and User Experience (UX). Since there are not very many articles, presentations on this subject this should help you get started. If you do find something that we should include here then please let us know.

Here are two presentations about marrying Web Analytics and User Experience (UX). Since there are not very many articles, presentations on this subject this should help you get started. If you do find something that we should include here then please let us know.

1. Marrying Web Analytics and User Experience Louis Rosenfeld • 5 August 2009 Delve NYC • Brooklyn 1

[slideshare id=1401452&doc=keynote-090507123424-phpapp01]

2. Web Analytics and Usability Testing: Triangulate your way to better design recommendations by Eva Kaniasty

[slideshare id=1579031&doc=analyticspresentation-090613183722-phpapp02]

Attitudes of Internet Users Toward Targeting

According to a January 2011 survey from Krux Digital, 57% of internet users surveyed said it was OK for websites to serve targeted ads based on their activity on that website, less than half as many had positive attitudes toward tracking that followed them from site to site.

Read more at http://www.emarketer.com/Article.aspx?R=1008222

Creating a Culture of Web Analytics

All those who have worked at companies which never used or do not use web analytics to make decisions about site changes, know how difficult it is to create a culture of web analytics. It is very hard. Building a culture of web analytics is a grueling uphill task.
After working with various client I have found that reasons for not using web analytics vary from company to company, some of the common ones are:

  • Gut feel has always worked or at least it seems like it has worked
  • It is an additional step in the process
  • New skills are required to use web analytics. They feel they don’t have the required skills for using web analytics
  • Fear of accountability i.e. now I will be measured and I don’t like that
  • The reports that they got in past were pretty useless
  • They didn’t believe in web analytics data because they have no clue on how the data was collected
  • They don’t understand how web analytics can help them
  • They don’t understand what web analytics is

The first reaction of many newly hired analyst/analytics manager is to start talking about KPIs, reports, what web analytics can do etc. But before you start digging into the data and analysis and start to talk about KPIs, dashboards etc. you need to understand the root cause of why analytics has not been used in the past. Understanding and tacking those issues will give you a better platform to build the culture of analytics on.

Here are few things you need to do before jumping into KPIs

  • Identify various stakeholders, who could benefit from web analytics, in the company. You don’t have to have a comprehensive list of every person but some that you think could immediately benefit and you can immediately help is also a good list to start with
  • Get a meeting with them, individually or grouped together in groups based on their roles/departments etc.
  • Agenda of the first meeting should be to understand why they have not used web analytics in the past and what they would like to see from web analytics group. Don’t talk about KPIs yet. This meeting is about hearing them, if they talk about goals, metrics etc. then fine but don’t jump to discussing KPIs
  • Make sure they understand that there will be a follow-up and you are there to help them not to use numbers to find faults. You need collaboration. Don’t let other people’s opinion about HiPPOs put you in an offensive or defensive position
  • Schedule a follow-up meeting to go over you analysis of the past meeting, address any concerns/issues that are preventing them to use analytics

The goal of this exercise is to make people feel confident that you can truly help them make data driven decisions without jeopardizing their job. You understand their concerns and are willing to address them.

During this process you will also find out who all (groups/individual) are more willing than others to help you build your case and will provide you small wins that you can use to garner more support. If you have an executive support e.g. your bosses boss then leverage that to help you.

At the end,remember, every company is different. The culture is different, challenges are different, political structure is different so it is critical you understand all those elements. It is not going to happen overnight so be prepared for a long rocky journey.

Comments/Questions?