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Avinash Kaushik is the author of Web Analytics 2.0 and Web Analytics: An Hour a Day. He is also the Co-Founder of Market Motive and the Digital Marketing Evangelist for Google. On this blog he presents ideas to empower companies to make evolutionary leaps in their digital strategies.

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Comment on Multi-Channel Attribution: Definitions, Models and a Reality Check by Modelos de Atribución Google Analytics | Potics

Como vemos los modelos de atribución nos permiten atribuir al online parte de las ventas del offline, sobretodo ahora con el nuevo Measurement Protocol de Analytics. Los modelos de atribución no solo nos permiten estudiar canales de venta. Avinash en su post sobre modelos de atribución habla además del estudio entre canales, de utilizarlos para el estudio de la atribución de distintos dispositivos o pantallas.

2013-03-14 17:47:50

Comment on Excellent Analytics Tip #22: Calculate Return On Analytics Investment! by Analitika HírNAP – 2013.03.11. | Seo hírek

Avinash Kaushik írt egy kiváló bejegyzést arról, hogy hogyan tudjuk kiszámítani az Analytics befektetéseink megtérülését (ROI-ját). Minden analitika projektnek van legalább emberi erőforrás költsége, ezért egy bizonyos szint után fontos hogy azt is vizsgáljuk ezekre fordított pénzbeli és humán erőforrások hogyan térülnek meg.
http://www.kaushik.net/avinash/calculate -return-on-analytics-investment/

2013-03-11 10:37:44

Comment on Excellent Analytics Tip #22: Calculate Return On Analytics Investment! by SEO content marketing roundup, week ending February 27th

A deep dive into big data, ROI calculations, and analytics: Avinash Kaushik and friend Jesse Nichols combine their talents with “Excellent Analytics Tip #22: Calculate Return On Analytics Investment!” at Occam’s Razor.

2013-02-27 12:02:34

Comment on Standard Metrics Revisited: #3: Bounce Rate by Bounce Rate Reduction Techniques | Wordpress, SEO, Affiliate Marketing and Blogging Ideas from --> Jay Venka

Monitor your bounce rate, see if your actions show improvements (reduction in bounce rate). Industry average of bounce rate varies, but i think anything less than 65-70% is good. Less than that is great but it needs that extra work. Bounce rate more than 80% is definitely not good. But having said that don’t be too much obsessed with the numbers, just keep working on improving it. More detailed info on Bounce rates from Google Engineer Avinash Kaushik here

2012-09-03 10:57:01

Comment on Google Analytics Releases Advanced Segmentation: Now Be A Ninja! by Google Analytics Certification: How to Pass the new GAIQ Test

Why Getting a Google Analytics Certification?
As Google themself describe the test, it is by no means an arduous task nor a proof that you’re a Google Analytics ninja.
The Google Analytics IQ test challenges your knowledge and understanding of Google Analytics.

2012-07-24 15:07:47

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