7 Steps CRO Process

To achieve the target we need to first define our objective clearly. To do that after analyzing data, the business objective we can clearly define objectives and achievable goals. We will record current conversion rate, engagement and other data and we will use that data to compare future performance. So, we will define reference data.

To track user’s performance we need to properly check tracking codes, define goals on analytics. Test the goals performance.

Identifying low hanging conversion issues – Analysis of the current website’s usability and find technical, link and associated issues which are impacting website’s performance. Identifying these issues we don’t need big data analysis.

We will create a list of issues that need to be addressed.

Defining TOFU, MOFU, BOFU – Will define the top, middle and bottom of your sales funnels.

We will SWOT (Strength Weakness Opportunity and Threat) analyze the site

We will check your offers and compare with competitors. A bad offer can’t convert simple! We need to check that.

Tools – Install important tools besides Google analytics to gather data for long term analysis and optimization. Creating new accounts and installing the code on the site.

We need to collect qualitative and quantitative data for in-depth analysis and optimization. Qualitative data – From analytics, stat counters we can able to understand the pages which have low conversion, high bounce rate etc data. This data analysis helps us to understand where the issue is, but not clearly define what the issue on that particular page is. To identify the specific issue we need to get help of qualitative data.

Qualitative data collection – To understand how users acting on a page, using tools we can record users click activities, scrolling activities. We can even record users page activities in a video format. Besides that, survey, questionnaire and other ways we can collect important information.

Qualitative data – The traffic data on analytics, webmaster, Instagram AdWords, Facebook or any other sources. Historical data helps in finding the issues.

Quantitative data analysis – We will analyze in detail to understand the behavior of the users, quality of the traffic, content relevancy with the keywords etc. The analysis of the data will pinpoint the issues on the sales funnel.

Quantitative data analysis – We will provide detail steps, questionnaire what to ask, to whom, what tools we can use to gather information. After capturing those data, we will build a strategy to fix those issues and create hypothesis for the tests

The data that we collect from the previous step we will use those to create a hypothesis for the test. A hypothesis is a prediction we create prior to running an experiment. It states clearly what is being changed, what we believe the outcome will be, and why we think that’s the case. Running the experiment will either prove or disprove your hypothesis. Running an experiment without a hypothesis is like starting a road trip just for the sake of driving, without thinking about where we’re headed and why.

The data will also help us to define what landing pages, campaigns we can test, how long we need to run a test and what will be the statistical confidentiality.

We will create detailed spreadsheet and share with you about the hypothesis and explain in detail. After your approval we will start executing.

For small A/B testing using the A/B testing tool we will implement variations and will show you various we create and once you ready we will start the test.

For robust changes, Split testing we will need your designer or developers assistance. Alternatively, you can hire our team for additional cost to execute those.

For low traffic pages, we can also help in different paid advertising options to generate traffic for the tests.

In the previous step when we clearly defined hypothesis now we can design the variants to start testing.

To reduce the initial complexity we will create tests which are technically easy to implement. As we need to analyze the ROI of the effort and expected results.

We will create wireframe for the suggested changes we prefer and with the help of the designer and developers, we can implement it.  After your approval of the wireframe, we will technically implement this.

In this phase, we help in implementing the hypothesis. We will check the development team’s work, quality test it before makes the test live.

We will implement the design from technical, marketing, and conversion point of view. Once ready we will start setup the test.

To get statistical significant data we will create tests which can generate result within 5 weeks. Slow traffic pages we will implement secondary goals. Secondary goals can be the clickthrough rate, engagement rate, push traffic to next phase etc.

Remember, we will need your team’s assistance in this. If you need our technical team’s assistance depending on the type of changes require we will charge extra.

All tests will be implemented and tested on the A/B testing tool before we initiate the test after your approval.

For low traffic pages, we can also help in different paid advertising options to generate traffic for the tests.

After we will run the tests for a specific time period we will see 3 possibilities. The hypothesis we created if that shows a positive result. Then we will help in implementing the changes to live. After that, we will start new tests to optimize further. If we see negative or no impact result, then we will learn from that and create alternative tests and hypothesis.

This way we will keep on improving.