Most important Advanced Segment for Conversion Optimization

  Today I am going to share with you the granddaddy of all advanced segments, which completely changed the way I analyse data in Google Analytics for good. But before I share this advanced segment with you, allow me to

Understanding Enhanced Ecommerce tracking in Universal Analytics

  Enhanced ecommerce tracking is a complete revamp of the traditional ecommerce tracking. Since enhanced ecommerce is such a ginormous concept, I decided to write a whole series on enhanced ecommerce tracking instead of writing just one e-book. If I

YouTube video tracking via Google Tag Manager

  There are two methods of embedding a YouTube player on your website: one that involves embedding a flash object and the other one that involves embedding an iframe. If you are embedding a YouTube video via a flash object

Implementing Scroll Tracking via Google Tag Manager

  Scroll tracking is one of the methods of measuring how people are consuming your website contents. People who actually read your article are most likely to scroll your article page (unless you can get away with Seth godin type

Implementing E-Commerce Tracking via Google Tag Manager

  Implementing ecommerce tracking in Google Universal Analytics is quite difficult and Google tag manager doesn’t make this task any easier. But if you are using GTM for all of your tracking needs then it doesn’t make much sense to

How to do ROI Analysis in Google Universal Analytics

  Index Requirements for ROI Analysis in Universal Analytics Introduction to Cost data Introduction to Data Set Introduction to Data Set Schema Importing cost data in Universal Analytics via Data Sets Tag all of your marketing campaigns Collect cost data.

Google Tag Manager Implementation Guide

  To implement Google Tag Manager (GTM) there are two things that you need to do: 1. Understand the concept of data layers (which I explained in great detail in the post: Google Tag Manager Data Layer explained like never

Adjusting Bounce Rate via Google Tag Manager

  I have talked about Adjusting bounce rate in Google and Universal Analytics before, where I also explained in great detail why you need to adjust bounce rate and what are the benefits of such adjustment. So I won’t repeat

Google Tag Manager Data Layer explained like never before

  This is my first official post on ‘Google Tag Manager’ on this blog. I never really touched this topic and I don’t really have any good excuse. All I can say is that I was busy writing about other

Bare Minimum Statistics for Web Analytics

  The role of statistics in the world of web analytics is not clear to many marketers. Not many talk or write about the usage of statistics and data science in web analytics. Unfortunately by and large, analytics industry is

Geek guide to Direct Traffic Analysis

  Direct traffic is increasing day by day and if you don’t do anything about it now, then one day all you will see in your analytics reports will be direct traffic: little to no referral data, just direct traffic

Advanced Google & Universal Analytics Tracking – Beginners Guide

  Have you ever wondered how tracking is actually implemented on a website? How you can actually track downloads, form field abandonment, videos and almost anything in Google/Universal Analytics? Sure many bloggers can tell you that by providing a bunch

Phone Call Tracking and ROI calculations – Champion’s Guide

  I love phone call tracking simply because it gives me a break from the regular tracking I do through Google Analytics and other similar tools. If you have been in the field of digital marketing as long as me (almost

Universal Analytics Upgrade Guide

  I get lot of emails from webmasters who migrate to Universal Analytics on Google’s recommendation without understanding the implications of such migration and without evaluating the pros and cons of such a switch. Then they get stuck with tracking

10 Analysis Techniques that Fool Data Driven Marketers

  In the next few minutes I will show you 10 different techniques that can be used intentionally or unintentionally to mislead data driven marketers with the data they adore so much. I will also prove it to you how