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Maths and stats for Web analytics and conversion optimization /

By: Sharma, Himanshu.
Publisher: [Seattle?] : [Amamzon Digital Services LLC], 2015Description: 428 p. : ill. ; 25 cm.ISBN: 9781364849184; 1364849186.Subject(s): Web usage mining -- Handbooks, manuals, etc | Internet users -- Web site devlopmentDDC classification: 006.312
Contents:
About the author -- Part one : the maths for web analytics and conversion optimization -- Lesson 1 : an introduction to return on investment (ROI) -- Lesson 2 : ROI analysis in Google Analytics -- Lesson 3 : conversions and ROI in a multi-channel marketing world -- Lesson 4 : ROI calculations for SEO -- Lesson 5 : ROI calculations for phone call tracking to your client/boss -- Lesson 6 : powwrful methods to improve phone call conversion rate -- Lesson 7 : how to measure the ROI of content marketing -- Lesson 8 : calculating true conversion rate -- Lesson 9 : analysing and reporting conversion rate -- Lesson 10 : fundamental issues with te conversion rate metric --Lesson 11 : unsuspected correleations between conversion rate and critical business metrics -- Lesson 12 : avoid making marketing decisions based on conversion rate -- Lesson 13 : why conversion volume is a better metric than conversion rate -- Lesson 14 : why you should stop optimizing for conversion rate -- Lesson 15 : undertsanding averages -- Lesson 16 : important business metrics -- Lesson 17 : key performance indicators (KPI) -- Lesson 18 : selecting the best Excel charts for data analysis and reporting -- Part two : statistics for web analytics and conversion optimization -- Lesson 1 : introduction to statistics for web analytics and conversion potimization -- Lesson 2 : statistical inference -- Lesson 3 : population and sub-population -- Lesson 4 : understanding samples -- Lesson 5 : data sampling issues -- Lesson 6 : statistical significance -- Lesson 7 : significance level (or confidence level) -- Lesson 8 : effect and eggect size -- Lesson 9 : hypothesis -- Lesson 10 : false positive and flase negative -- Lesson 11 : statistical power (or power of the A/B test) -- Lesson 12 : minimum detectable effect -- Lesson 13 : outliers -- Lesson 14 : confidence interval -- Lesson 15 : conversion rate and improvement metrics in A/B testing -- Lesson 16 : confounding variables -- Lesson 17 : the multiple comparisons problem -- Lesson 18 : predictive analytics -- Lesson 19 : analysing data trends -- Lesson 20 : the 80/20 rule -- Lesson 21 : making the switch from traffic to conversions -- Lesson 22 : making good marketing decisions -- Lesson 23 : making the switch from data driven to data smart marketing.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Standard Loan Standard Loan ATU Sligo Yeats Library Main Lending Collection 006.312 SHA (Browse shelf(Opens below)) 1 Available 0064166
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About the author -- Part one : the maths for web analytics and conversion optimization -- Lesson 1 : an introduction to return on investment (ROI) -- Lesson 2 : ROI analysis in Google Analytics -- Lesson 3 : conversions and ROI in a multi-channel marketing world -- Lesson 4 : ROI calculations for SEO -- Lesson 5 : ROI calculations for phone call tracking to your client/boss -- Lesson 6 : powwrful methods to improve phone call conversion rate -- Lesson 7 : how to measure the ROI of content marketing -- Lesson 8 : calculating true conversion rate -- Lesson 9 : analysing and reporting conversion rate -- Lesson 10 : fundamental issues with te conversion rate metric --Lesson 11 : unsuspected correleations between conversion rate and critical business metrics -- Lesson 12 : avoid making marketing decisions based on conversion rate -- Lesson 13 : why conversion volume is a better metric than conversion rate -- Lesson 14 : why you should stop optimizing for conversion rate -- Lesson 15 : undertsanding averages -- Lesson 16 : important business metrics -- Lesson 17 : key performance indicators (KPI) -- Lesson 18 : selecting the best Excel charts for data analysis and reporting -- Part two : statistics for web analytics and conversion optimization -- Lesson 1 : introduction to statistics for web analytics and conversion potimization -- Lesson 2 : statistical inference -- Lesson 3 : population and sub-population -- Lesson 4 : understanding samples -- Lesson 5 : data sampling issues -- Lesson 6 : statistical significance -- Lesson 7 : significance level (or confidence level) -- Lesson 8 : effect and eggect size -- Lesson 9 : hypothesis -- Lesson 10 : false positive and flase negative -- Lesson 11 : statistical power (or power of the A/B test) -- Lesson 12 : minimum detectable effect -- Lesson 13 : outliers -- Lesson 14 : confidence interval -- Lesson 15 : conversion rate and improvement metrics in A/B testing -- Lesson 16 : confounding variables -- Lesson 17 : the multiple comparisons problem -- Lesson 18 : predictive analytics -- Lesson 19 : analysing data trends -- Lesson 20 : the 80/20 rule -- Lesson 21 : making the switch from traffic to conversions -- Lesson 22 : making good marketing decisions -- Lesson 23 : making the switch from data driven to data smart marketing.

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