Conversion Funnel Optimization through Paditrack

Last Updated: June 6, 2020

To segment and test funnels I have been using a special tool called PadiTrack for the last few years.  Sorry for writing about it so late. This tool pulls the data directly from your Google Analytics account and is 100% free to use.


I rarely look into the funnel visualization reports of Google Analytics. This is because they have become obsolete in my world.

I can’t wait for days and weeks for the data to populate first so that I can carry out some meaningful analysis.  I want to create funnels on the fly and instantly get what I am looking for.

Related Post: The Geek Guide to Understanding Funnels in Google Analytics

Follow the steps below to use PadiTrack

Step-1: Sign up on the PadiTrack website.

Note: You don’t need to install anything on your website to use this tool.  All you need is access to your Google Analytics account.

Step-2: Since PadiTrack pulls the data from Google Analytics, you need to connect the PadiTrack account with your Google Analytics account.  Once you have signed up, click on the ‘connect to Google Analytics’ button and then on the ‘Allow Access’ button:

connect to google analytics

allow access


Step3: Click on the Google Analytics account name you have just added:

select account

Select the Analytics profile you want to use by clicking on the ‘use this profile’ button:

use this profile

Step-5: Now you will define your funnel. You define your funnel steps in the same way you define funnel steps in your Google Analytics account.

Since I want to segment the conversion funnel shown in Fig.1, I will create a duplicate of this funnel in PadiTrack:

define funnel

Here I have created a funnel called ‘Funnel Visualization That Matters’ and have defined the first step of the funnel which is a visit to the home page.

I clicked on the ‘validate’ link to make sure that I have set up the funnel step correctly.

To add another step to the funnel, click on the ‘Add one more stop’ button.  Once you have added all the necessary funnel steps, click on the ‘finished adding’ button:

define funnel2

You funnel visualization report will now look like this:

funnel visualization that m


If you compare Fig.1 to Fig.2, you will immediately notice that there is a huge data discrepancy between the traffic coming to the home page.

In Fig.1, 8266 visitors came to the home page. Whereas in Fig.2  only 525 visitors came to the home page.

This is because in Fig.1 the first funnel step was set up incorrectly.  The 8266 visitors were the total visitors to the website and not just to the home page.


Another awesome way to set up correct funnels is by looking at the ‘Reverse Goal Path’ Report in Google Analytics.

Through this report you can determine the actual navigation paths that triggered goal conversions and how many conversions each navigation path triggered.  The navigation path that has/is triggering maximum number of conversions should be your conversion funnel.

According to Fig.1 website got 39 orders. But according to Fig.2 website got 38 orders.  Why this data discrepancy?

Well, there will always be some data discrepancy between two or more web analytics tool. Remember that. So

whenever you are comparing the data from multiple data sources, focus on trends and not on the actual numbers.

If you scroll down in Fig.2, you will see a report like this:

paditrack segments

You can now see the segmentation options which you can use to segment your conversion funnels.

You can segment the funnel by top referrers, by top keywords. You can also apply custom segments by clicking on the ‘custom segments’ tab:

paditrack custom segments


The custom segments in PadiTrack contain both default segments and custom segments of your Google Analytics account.

The default segments are listed at the top and custom segments are listed at the bottom.  Now let us apply the advanced segment ‘search traffic’ (in Fig.3) to our conversion funnel in Fig.2. by clicking on the ‘search traffic’ link (as shown in Fig.3):

search traffic segment1


Now if we compare Fig.2 with Fig.4, we can easily determine that out of 525 visitors on the home page, 365 visitors were search traffic visitors.

Majority of people who went to the shopping cart page and who made a purchase were search traffic visitors. So now we know that we need to focus on search traffic.

You can apply other advanced segments like paid search traffic to determine what percentage of search traffic that is coming to the home page is from PPC. Similarly, you can apply several other segments to determine the contribution of other marketing channels in the overall ‘drop off’ from one funnel step to the next.

The other big advantage of using PadiTrack is that you can add/remove funnel steps on the fly to understand and optimize your conversion funnels.

You don’t need to wait for the data to be populated first  (unlike in Google Analytics). For example, here I have added one more funnel step called ‘view product pages’:

final funnel1

Now we can see the biggest drop off is between the home page and viewing a product page.  The usage of this tool is only limited to your imagination.

 Posts you may find useful:

Register for the FREE TRAINING...

"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."

Here’s what we’re going to cover in this training…

#1 Why digital analytics is the key to online business success.

​#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.

#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.

#4 ​Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.

#5 The number 1 reason why conversion optimization is not working for your business.

#6 How to advertise on any marketing platform for FREE with an unlimited budget.

​#7 How to learn and master digital analytics and conversion optimization in record time.


My best selling books on Digital Analytics and Conversion Optimization

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and BeyondSECOND EDITION OUT NOW!
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.

About the Author

Himanshu Sharma

  • Founder,
  • Over 15 years of experience in digital analytics and marketing
  • Author of four best-selling books on digital analytics and conversion optimization
  • Nominated for Digital Analytics Association Awards for Excellence
  • Runs one of the most popular blogs in the world on digital analytics
  • Consultant to countless small and big businesses over the decade

Learn and Master Google Analytics 4 (GA4) - 126 pages ebook

error: Alert: Content is protected !!