Hey, welcome back to the final chapter of our e-commerce conversion rate optimization course.
In this chapter, I'm going to walk you through step by step the process we are using to optimize our clients' websites.
Before we get started, I highly recommend to download our worksheet. This worksheet as you see is a Google Sheet with some very useful information and tabs here. You will see a summary of the methodology, a sample project plan and some other very useful material which I will cover later.
Okay, but this is the link that you should use. Just open it and make a duplicate version of this worksheet.
All right. Now let's see the methodology itself.
We use a three-step optimization process. The first step is the analysis. This is where we collect all the ideas that's worth testing.
The second is the launch. This is where we set up all the campaigns that need to be tested.
And third is the optimization process when we evaluate the results and we make decisions based on the results.
So let's start with the first step, the analysis part. The very first step of the analysis is what we call the opportunity discovery.
We prefer this name opportunity discovery than finding problems to solve or something like that because each of these problems are basically opportunities to get more sales and more conversions.
The first part is what we call is basically a technical analysis. To see if the website is fast enough, if it's built up correctly, if it's not broken.
The second is we check Google Analytics or some other source of data to see what are the starting points for conversions, cart abandonment, sales, and other key metrics.
Data is the best way to see that this or that channel for example is converting poorly or that landing page should perform better.
So the data shows you where are the problems, but the customers themselves can tell you exactly what are the problems?
From Google Analytics you will see the key areas where you need improvement, but it will not tell you how you can improve those areas. So you will need other ways to learn the actual reasons for the poor conversion.
This is where the feedback collection comes in. Feedbacks directly from the customer is usually the most trustworthy data to see what's the problem.
What is stopping you from buying your glasses for example, and other popups, side messages, and other messages could be an ideal way to get relevant information from your customers.
I hope you could see that starting A/B testing and starting optimization is really not rocket science, and you already have the tools necessary to run all kinds of different optimizations.
So I wish you the very best of luck in your conversion optimization journey! Thank you!
