Avinash Kaushik 10/90 Rule

783 Words2 Pages

Most of studies have proved that a lot of companies are doing great job in using web analytics in order to do investments , but they still have problems on how they can make the right business decisions and recommendations. Most of the employees are complaining about the tera bytes of data and giga bytes of data that comes from the reports for Excel and power points files that have no actionable insights . Avinash Kaushik had found the solution for this issue , he created the “10/90” rule. This rule suggests that for every $10 you spend on your analytics tool and implementation, you should spend $90 on intelligent digital analysts that can convert your data into actionable insights. Avinash Kaushik mention an example in order to clarify his …show more content…

You need to set up your web analytics program for …show more content…

Drop in marketing campaigns, a dynamic site, SEM, more pages, more traffic, promotions and offers and you have a very tough situation to understand.Furthermore,not every data is useful some companies are collecting large amount of data and then after they analyze it , they figure out that they don't need this type of data ,so the bottom line is that it will take a lot of intelligence to figure out what is real in all this data and what is fake and what, if anything in the canned reports, is meaningful or not .Also ,actionable Web Insights do not come simply from ClickStream ,so companies need to hire the right and smart people and have business acumen who can tie clickstream behavior to other sources of data.MR Kaushik point out that “one fact that remains a bit hidden is that almost all of these “standard metrics” are measured and computed differently by each vendor, You are going to have to sort this out”. A lot of people do not think about these problems before they purchase a web analytics tool or software and they still wait for (ROI) returns on investments it does not make any sense

More about Avinash Kaushik 10/90 Rule

Open Document